[automated] Apply ESLint and Oxfmt fixes

- og.ts: use SatoriNode type instead of unknown for satori() param
- Pin all GitHub Action refs to commit SHAs (validate-pins)
- Add vercel to knip ignoreBinaries (hub-preview-cron uses npx vercel)

.claude/settings.json

@@ -1,86 +1,9 @@
 {
-  "hooks": {
-    "PreToolUse": [
-      {
-        "matcher": "Bash",
-        "hooks": [
-          {
-            "type": "command",
-            "if": "Bash(tsc *)",
-            "command": "echo 'Use `pnpm typecheck` instead of running tsc directly.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(vue-tsc *)",
-            "command": "echo 'Use `pnpm typecheck` instead of running vue-tsc directly.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx tsc *)",
-            "command": "echo 'Use `pnpm typecheck` instead of running tsc via npx.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(pnpx tsc *)",
-            "command": "echo 'Use `pnpm typecheck` instead of running tsc via pnpx.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(pnpm exec tsc *)",
-            "command": "echo 'Use `pnpm typecheck` instead of `pnpm exec tsc`.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx vitest *)",
-            "command": "echo 'Use `pnpm test:unit` (or `pnpm test:unit -- <path>`) instead of npx vitest.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(pnpx vitest *)",
-            "command": "echo 'Use `pnpm test:unit` (or `pnpm test:unit -- <path>`) instead of pnpx vitest.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx eslint *)",
-            "command": "echo 'Use `pnpm lint` or `pnpm lint:fix` instead of npx eslint.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(pnpx eslint *)",
-            "command": "echo 'Use `pnpm lint` or `pnpm lint:fix` instead of pnpx eslint.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx prettier *)",
-            "command": "echo 'This project uses oxfmt, not prettier. Use `pnpm format` or `pnpm format:check`.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(pnpx prettier *)",
-            "command": "echo 'This project uses oxfmt, not prettier. Use `pnpm format` or `pnpm format:check`.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx oxlint *)",
-            "command": "echo 'Use `pnpm oxlint` instead of npx oxlint.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx stylelint *)",
-            "command": "echo 'Use `pnpm stylelint` instead of npx stylelint.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(npx knip *)",
-            "command": "echo 'Use `pnpm knip` instead of npx knip.' >&2 && exit 2"
-          },
-          {
-            "type": "command",
-            "if": "Bash(pnpx knip *)",
-            "command": "echo 'Use `pnpm knip` instead of pnpx knip.' >&2 && exit 2"
-          }
-        ]
-      }
+  "permissions": {
+    "allow": [
+      "Bash(pnpx vitest run --testPathPattern=\"draftCacheV2.property\")",
+      "Bash(pnpx vitest run \"draftCacheV2.property\")",
+      "Bash(node -e \"const fc = require\\(''fast-check''\\); console.log\\(Object.keys\\(fc\\).filter\\(k => k.includes\\(''string''\\)\\).join\\('', ''\\)\\)\")"
     ]
   }
 }

.claude/skills/backport-management/SKILL.md

@@ -11,11 +11,10 @@ Cherry-pick backport management for Comfy-Org/ComfyUI_frontend stable release br
 
 1. **Discover** — Collect candidates from Slack bot + git log gap (`reference/discovery.md`)
 2. **Analyze** — Categorize MUST/SHOULD/SKIP, check deps (`reference/analysis.md`)
-3. **Human Review** — Present candidates in batches for interactive approval (see Interactive Approval Flow)
-4. **Plan** — Order by dependency (leaf fixes first), group into waves per branch
-5. **Execute** — Label-driven automation → worktree fallback for conflicts (`reference/execution.md`)
-6. **Verify** — After each wave, verify branch integrity before proceeding
-7. **Log & Report** — Generate session report (`reference/logging.md`)
+3. **Plan** — Order by dependency (leaf fixes first), group into waves per branch
+4. **Execute** — Label-driven automation → worktree fallback for conflicts (`reference/execution.md`)
+5. **Verify** — After each wave, verify branch integrity before proceeding
+6. **Log & Report** — Generate session report with mermaid diagram (`reference/logging.md`)
 
 ## System Context
 
@@ -39,28 +38,15 @@ Cherry-pick backport management for Comfy-Org/ComfyUI_frontend stable release br
 **Critical: Match PRs to the correct target branches.**
 
 | Branch prefix | Scope                          | Example                                   |
-| ------------- | ------------------------------ | ------------------------------------------------- |
-| `cloud/*`     | Cloud-hosted ComfyUI only      | Team workspaces, cloud queue, cloud-only login    |
+| ------------- | ------------------------------ | ----------------------------------------- |
+| `cloud/*`     | Cloud-hosted ComfyUI only      | App mode, cloud auth, cloud-specific UI   |
 | `core/*`      | Local/self-hosted ComfyUI only | Core editor, local workflows, node system |
-| Both          | Shared infrastructure          | App mode, Firebase auth (API nodes), payment URLs |
 
-### What Goes Where
+**⚠️ NEVER backport cloud-only PRs to `core/*` branches.** Cloud-only changes (app mode, cloud auth, cloud billing UI, cloud-specific API calls) are irrelevant to local users and waste effort. Before backporting any PR to a `core/*` branch, check:
 
-**Both core + cloud:**
-
-- **App mode** PRs — app mode is NOT cloud-only
-- **Firebase auth** PRs — Firebase auth is on core for API nodes
-- **Payment redirect** PRs — payment infrastructure shared
-- **Bug fixes** touching shared components
-
-**Cloud-only (skip for core):**
-
-- Team workspaces
-- Cloud queue virtualization
-- Hide API key login
-- Cloud-specific UI behind cloud feature flags
-
-**⚠️ NEVER backport cloud-only PRs to `core/*` branches.** But do NOT assume "app mode" or "Firebase" = cloud-only. Check the actual files changed.
+- Does the PR title/description mention "app mode", "cloud", or cloud-specific features?
+- Does the PR only touch files like `appModeStore.ts`, cloud auth, or cloud-specific components?
+- If yes → skip for `core/*` branches (may still apply to `cloud/*` branches)
 
 ## ⚠️ Gotchas (Learn from Past Sessions)
 
@@ -81,32 +67,6 @@ The `pr-backport.yaml` action reports more conflicts than reality. `git cherry-p
 
 12 or 27 conflicting files can be trivial (snapshots, new files). **Categorize conflicts first**, then decide. See Conflict Triage below.
 
-### Accept-Theirs Can Produce Broken Hybrids
-
-When a PR **rewrites a component** (e.g., PrimeVue → Reka UI), the accept-theirs regex produces a broken mix of old and new code. The template may reference new APIs while the script still has old imports, or vice versa.
-
-**Detection:** Content conflicts with 4+ conflict markers in a single `.vue` file, especially when imports change between component libraries.
-
-**Fix:** Instead of accept-theirs regex, use `git show MERGE_SHA:path/to/file > path/to/file` to get the complete correct version from the merge commit on main. This bypasses the conflict entirely.
-
-### Cherry-Picks Can Reference Missing Dependencies
-
-When PR A on main depends on code introduced by PR B (which was merged before A), cherry-picking A brings in code that references B's additions. The cherry-pick succeeds but the branch is broken.
-
-**Common pattern:** Composables, component files, or type definitions introduced by an earlier PR and used by the cherry-picked PR.
-
-**Detection:** `pnpm typecheck` fails with "Cannot find module" or "is not defined" errors after cherry-pick.
-
-**Fix:** Use `git show MERGE_SHA:path/to/missing/file > path/to/missing/file` to bring the missing files from main. Always verify with typecheck.
-
-### Use `--no-verify` for Worktree Pushes
-
-Husky hooks fail in worktrees (can't find lint-staged config). Always use `git push --no-verify` and `git commit --no-verify` when working in `/tmp/` worktrees.
-
-### Automation Success Varies Wildly by Branch
-
-In the 2026-04-06 session: core/1.42 got 18/26 auto-PRs, cloud/1.42 got only 1/25. The cloud branch has more divergence. **Always plan for manual fallback** — don't assume automation will handle most PRs.
-
 ## Conflict Triage
 
 **Always categorize before deciding to skip. High conflict count ≠ hard conflicts.**
@@ -117,8 +77,6 @@ In the 2026-04-06 session: core/1.42 got 18/26 auto-PRs, cloud/1.42 got only 1/2
 | **Modify/delete (new file)** | PR introduces files not on target    | `git add $FILE` — keep the new file                             |
 | **Modify/delete (removed)**  | Target removed files the PR modifies | `git rm $FILE` — file no longer relevant                        |
 | **Content conflicts**        | Marker-based (`<<<<<<<`)             | Accept theirs via python regex (see below)                      |
-| **Component rewrites**       | 4+ markers in `.vue`, library change | Use `git show SHA:path > path` — do NOT accept-theirs           |
-| **Import-only conflicts**    | Only import lines differ             | Keep both imports if both used; remove unused after             |
 | **Add/add**                  | Both sides added same file           | Accept theirs, verify no logic conflict                         |
 | **Locale/JSON files**        | i18n key additions                   | Accept theirs, validate JSON after                              |
 
@@ -145,7 +103,7 @@ Skip these without discussion:
 - **Test-only / lint rule changes** — Not user-facing
 - **Revert pairs** — If PR A reverted by PR B, skip both. If fixed version (PR C) exists, backport only C.
 - **Features not on target branch** — e.g., Painter, GLSLShader, appModeStore on core/1.40
-- **Cloud-only PRs on core/\* branches** — Team workspaces, cloud queue, cloud-only login. (Note: app mode and Firebase auth are NOT cloud-only — see Branch Scope Rules)
+- **Cloud-only PRs on core/\* branches** — App mode, cloud auth, cloud billing. These only affect cloud-hosted ComfyUI.
 
 ## Wave Verification
 
@@ -164,18 +122,6 @@ git worktree remove /tmp/verify-TARGET --force
 
 If typecheck or tests fail, stop and investigate before continuing. A broken branch after wave N means all subsequent waves will compound the problem.
 
-### Fix PRs Are Normal
-
-Expect to create 1 fix PR per branch after verification. Common issues:
-
-1. **Component rewrite hybrids** — accept-theirs produced broken `.vue` files. Fix: overwrite with correct version from merge commit via `git show SHA:path > path`
-2. **Missing dependency files** — cherry-pick brought in code referencing composables/components not on the branch. Fix: add missing files from merge commit
-3. **Missing type properties** — cherry-picked code uses interface properties not yet on the branch (e.g., `key` on `ConfirmDialogOptions`). Fix: add the property to the interface
-4. **Unused imports** — conflict resolution kept imports that the branch doesn't use. Fix: remove unused imports
-5. **Wrong types from conflict resolution** — e.g., `{ top: number; right: number }` vs `{ top: number; left: number }`. Fix: match the return type of the actual function
-
-Create a fix PR on a branch from the target, verify typecheck passes, then merge with `--squash --admin`.
-
 ### Never Admin-Merge Without CI
 
 In a previous bulk session, all 69 backport PRs were merged with `gh pr merge --squash --admin`, bypassing required CI checks. This shipped 3 test failures to a release branch. **Lesson: `--admin` skips all branch protection, including required status checks.** Only use `--admin` after confirming CI has passed (e.g., `gh pr checks $PR` shows all green), or rely on auto-merge (`--auto --squash`) which waits for CI by design.
@@ -189,43 +135,6 @@ Large backport sessions (50+ PRs) are expensive and error-prone. Prefer continuo
 - Reserve session-style bulk backporting for catching up after gaps
 - When a release branch is created, immediately start the continuous process
 
-## Interactive Approval Flow
-
-After analysis, present ALL candidates (MUST, SHOULD, and borderline) to the human for interactive review before execution. Do not write a static decisions.md — collect approvals in conversation.
-
-### Batch Presentation
-
-Present PRs in batches of 5-10, grouped by theme (visual bugs, interaction bugs, cloud/auth, data correctness, etc.). Use this table format:
-
-```
- #  | PR     | Title                                    | Target        | Rec  | Context
-----+--------+------------------------------------------+---------------+------+--------
- 1  | #12345 | fix: broken thing                        | core+cloud/42 | Y    | Description here. Why it matters. Agent reasoning.
- 2  | #12346 | fix: another issue                       | core/42       | N    | Only affects removed feature. Not on target branch.
-```
-
-Each row includes:
-
-- PR number and title
-- Target branches
-- Agent recommendation: `Rec: Y` or `Rec: N` with brief reasoning
-- 2-3 sentence context: what the PR does, why it matters (or doesn't)
-
-### Human Response Format
-
-- `Y` — approve for backport
-- `N` — skip
-- `?` — investigate (agent shows PR description, files changed, detailed take, then re-asks)
-- Any freeform question or comment triggers discussion before moving on
-- Bulk responses accepted (e.g. `1 Y, 2 Y, 3 N, 4 ?`)
-
-### Rules
-
-- ALL candidates are reviewed, not just MUST items
-- When human responds `?`, show the PR description, files changed, and agent's detailed analysis, then re-ask for their decision
-- When human asks a question about a PR, answer with context and recommendation, then wait for their decision
-- Do not proceed to execution until all batches are reviewed and every candidate has a Y or N
-
 ## Quick Reference
 
 ### Label-Driven Automation (default path)
@@ -241,96 +150,13 @@ gh api repos/Comfy-Org/ComfyUI_frontend/issues/$PR/labels \
 ```bash
 git worktree add /tmp/backport-$BRANCH origin/$BRANCH
 cd /tmp/backport-$BRANCH
-
-# For each PR:
-git fetch origin $BRANCH
 git checkout -b backport-$PR-to-$BRANCH origin/$BRANCH
 git cherry-pick -m 1 $MERGE_SHA
-# Resolve conflicts (see Conflict Triage)
-git push origin backport-$PR-to-$BRANCH --no-verify
-gh pr create --base $BRANCH --head backport-$PR-to-$BRANCH \
-  --title "[backport $BRANCH] $TITLE (#$PR)" \
-  --body "Backport of #$PR. [conflict notes]"
-gh pr merge $NEW_PR --squash --admin
-sleep 25
+# Resolve conflicts, push, create PR, merge
 ```
 
-### Efficient Batch: Test-Then-Resolve Pattern
-
-When many PRs need manual cherry-pick (e.g., cloud branches), test all first:
-
-```bash
-cd /tmp/backport-$BRANCH
-for pr in "${ORDER[@]}"; do
-  git checkout -b test-$pr origin/$BRANCH
-  if git cherry-pick -m 1 $SHA 2>/dev/null; then
-    echo "CLEAN: $pr"
-  else
-    echo "CONFLICT: $pr"
-    git cherry-pick --abort
-  fi
-  git checkout --detach HEAD
-  git branch -D test-$pr
-done
-```
-
-Then process clean PRs in a batch loop, conflicts individually.
-
 ### PR Title Convention
 
 ```
 [backport TARGET_BRANCH] Original Title (#ORIGINAL_PR)
 ```
-
-## Final Deliverables (Slack-Compatible)
-
-After execution completes, generate two files in `~/temp/backport-session/`. Both must be **Slack-compatible plain text** — no emojis, no markdown tables, no headers (`#`), no bold (`**`), no inline code. Use plain dashes, indentation, and line breaks only.
-
-### 1. Author Accountability Report
-
-File: `backport-author-accountability.md`
-
-Lists all backported PRs grouped by original author (via `gh pr view $PR --json author`). Surfaces who should be self-labeling.
-
-```
-Backport Session YYYY-MM-DD -- PRs that should have been labeled by authors
-
-- author-login
-    - #1234 fix: short title
-    - #5678 fix: another title
-- other-author
-    - #9012 fix: some other fix
-```
-
-Authors sorted alphabetically, 4-space indent for nested items.
-
-### 2. Slack Status Update
-
-File: `slack-status-update.md`
-
-A shareable summary of the session. Structure:
-
-```
-Backport session complete -- YYYY-MM-DD
-
-[1-sentence summary: N PRs backported to which branches. All pass typecheck.]
-
-Branches updated:
-- core/X.XX: N PRs + N fix PRs (N auto, N manual)
-- cloud/X.XX: N PRs + N fix PRs (N auto, N manual)
-- ...
-
-N total PRs created and merged (N backports + N fix PRs).
-
-Notable fixes included:
-- [category]: [list of fixes]
-- ...
-
-Conflict patterns encountered:
-- [pattern and how it was resolved]
-- ...
-
-N authors had PRs backported. See author accountability list for details.
-```
-
-No emojis, no tables, no bold, no headers. Plain text that pastes cleanly into Slack.

.claude/skills/backport-management/reference/analysis.md

@@ -24,8 +24,8 @@ For SHOULD items with conflicts: if conflict resolution requires more than trivi
 **Before categorizing, filter by branch scope:**
 
 | Target branch | Skip if PR is...                                                    |
-| ------------- | ----------------------------------------------------------------------------------------------------------------- |
-| `core/*`      | Cloud-only (team workspaces, cloud queue, cloud-only login). Note: app mode and Firebase auth are NOT cloud-only. |
+| ------------- | ------------------------------------------------------------------- |
+| `core/*`      | Cloud-only (app mode, cloud auth, cloud billing, cloud-specific UI) |
 | `cloud/*`     | Local-only features not present on cloud branch                     |
 
 Cloud-only PRs backported to `core/*` are wasted effort — `core/*` branches serve local/self-hosted users who never see cloud features. Check PR titles, descriptions, and files changed for cloud-specific indicators.
@@ -61,6 +61,8 @@ done
 
 ## Human Review Checkpoint
 
-Use the Interactive Approval Flow (see SKILL.md) to review all candidates interactively. Do not write a static decisions.md for the human to edit — instead, present batches of 5-10 PRs with context and recommendations, and collect Y/N/? responses in conversation.
+Present decisions.md before execution. Include:
 
-All candidates must be reviewed (MUST, SHOULD, and borderline items), not just a subset.
+1. All MUST/SHOULD/SKIP categorizations with rationale
+2. Questions for human (feature existence, scope, deps)
+3. Estimated effort per branch

.claude/skills/backport-management/reference/execution.md

@@ -73,22 +73,14 @@ for PR in ${CONFLICT_PRS[@]}; do
   git cherry-pick -m 1 $MERGE_SHA
 
   # If conflict — NEVER skip based on file count alone!
-  # Categorize conflicts first: binary PNGs, modify/delete, content, add/add, component rewrites
+  # Categorize conflicts first: binary PNGs, modify/delete, content, add/add
   # See SKILL.md Conflict Triage table for resolution per type.
 
-  # For component rewrites (4+ markers in a .vue file, library migration):
-  # DO NOT use accept-theirs regex — it produces broken hybrids.
-  # Instead, use the complete file from the merge commit:
-  # git show $MERGE_SHA:path/to/file > path/to/file
-
-  # For simple content conflicts, accept theirs:
-  # python3 -c "import re; ..."
-
   # Resolve all conflicts, then:
   git add .
   GIT_EDITOR=true git cherry-pick --continue
 
-  git push origin backport-$PR-to-TARGET --no-verify
+  git push origin backport-$PR-to-TARGET
   NEW_PR=$(gh pr create --base TARGET_BRANCH --head backport-$PR-to-TARGET \
     --title "[backport TARGET] TITLE (#$PR)" \
     --body "Backport of #$PR..." | grep -oP '\d+$')
@@ -122,30 +114,7 @@ source ~/.nvm/nvm.sh && nvm use 24 && pnpm install && pnpm typecheck && pnpm tes
 git worktree remove /tmp/verify-TARGET --force
 ```
 
-If verification fails, **do not skip** — create a fix PR:
-
-```bash
-# Stay in the verify worktree
-git checkout -b fix-backport-TARGET origin/TARGET_BRANCH
-
-# Common fixes:
-# 1. Component rewrite hybrids: overwrite with merge commit version
-git show MERGE_SHA:path/to/Component.vue > path/to/Component.vue
-
-# 2. Missing dependency files
-git show MERGE_SHA:path/to/missing.ts > path/to/missing.ts
-
-# 3. Missing type properties: edit the interface
-# 4. Unused imports: delete the import lines
-
-git add -A
-git commit --no-verify -m "fix: resolve backport typecheck issues on TARGET"
-git push origin fix-backport-TARGET --no-verify
-gh pr create --base TARGET --head fix-backport-TARGET --title "fix: resolve backport typecheck issues on TARGET" --body "..."
-gh pr merge $PR --squash --admin
-```
-
-Do not proceed to the next branch until typecheck passes.
+If verification fails, stop and fix before proceeding to the next wave. Do not compound problems across waves.
 
 ## Conflict Resolution Patterns
 
@@ -173,35 +142,7 @@ git rm $FILE
 git checkout --theirs $FILE && git add $FILE
 ```
 
-### 4. Component Rewrites (DO NOT accept-theirs)
-
-When a PR completely rewrites a component (e.g., PrimeVue → Reka UI), accept-theirs produces
-a broken hybrid with mismatched template/script sections.
-
-```bash
-# Use the complete correct file from the merge commit instead:
-git show $MERGE_SHA:src/components/input/MultiSelect.vue > src/components/input/MultiSelect.vue
-git show $MERGE_SHA:src/components/input/SingleSelect.vue > src/components/input/SingleSelect.vue
-git add src/components/input/MultiSelect.vue src/components/input/SingleSelect.vue
-```
-
-**Detection:** 4+ conflict markers in a single `.vue` file, imports changing between component
-libraries (PrimeVue → Reka UI, etc.), template structure completely different on each side.
-
-### 5. Missing Dependencies After Cherry-Pick
-
-Cherry-picks can succeed but leave the branch broken because the PR's code on main
-references composables/components introduced by an earlier PR.
-
-```bash
-# Add the missing file from the merge commit:
-git show $MERGE_SHA:src/composables/queue/useJobDetailsHover.ts > src/composables/queue/useJobDetailsHover.ts
-git show $MERGE_SHA:src/components/builder/BuilderSaveDialogContent.vue > src/components/builder/BuilderSaveDialogContent.vue
-```
-
-**Detection:** `pnpm typecheck` fails with "Cannot find module" or "X is not defined" after cherry-pick succeeds cleanly.
-
-### 6. Locale Files
+### 4. Locale Files
 
 Usually adding new i18n keys — accept theirs, validate JSON:
 
@@ -235,14 +176,8 @@ gh pr checks $PR --watch --fail-fast && gh pr merge $PR --squash --admin
 8. **Always validate JSON** after resolving locale file conflicts
 9. **Dep refresh PRs** — skip on stable branches. Risk of transitive dep regressions outweighs audit cleanup. Cherry-pick individual CVE fixes instead.
 10. **Verify after each wave** — run `pnpm typecheck && pnpm test:unit` on the target branch after merging a batch. Catching breakage early prevents compounding errors.
-11. **App mode and Firebase auth are NOT cloud-only** — they go to both core and cloud branches. Only team workspaces, cloud queue, and cloud-specific login are cloud-only.
+11. **Cloud-only PRs don't belong on core/\* branches** — app mode, cloud auth, and cloud-specific UI changes are irrelevant to local users. Always check PR scope against branch scope before backporting.
 12. **Never admin-merge without CI** — `--admin` bypasses all branch protections including required status checks. A bulk session of 69 admin-merges shipped 3 test failures. Always wait for CI to pass first, or use `--auto --squash` which waits by design.
-13. **Accept-theirs regex breaks component rewrites** — when a PR migrates between component libraries (PrimeVue → Reka UI), the regex produces a broken hybrid. Use `git show SHA:path > path` to get the complete correct version instead.
-14. **Cherry-picks can silently bring in missing-dependency code** — if PR A references a composable introduced by PR B, cherry-picking A succeeds but typecheck fails. Always run typecheck after each wave and add missing files from the merge commit.
-15. **Fix PRs are expected** — plan for 1 fix PR per branch to resolve typecheck issues from conflict resolutions. This is normal, not a failure.
-16. **Use `--no-verify` in worktrees** — husky hooks fail in `/tmp/` worktrees. Always push/commit with `--no-verify`.
-17. **Automation success varies by branch** — core/1.42 got 18/26 auto-PRs (69%), cloud/1.42 got 1/25 (4%). Cloud branches diverge more. Plan for manual fallback.
-18. **Test-then-resolve pattern** — for branches with low automation success, run a dry-run loop to classify clean vs conflict PRs before processing. This is much faster than resolving conflicts serially.
 
 ## CI Failure Triage
 

.claude/skills/backport-management/reference/logging.md

@@ -2,25 +2,26 @@
 
 ## During Execution
 
-Maintain `execution-log.md` with per-branch tables (this is internal, markdown tables are fine here):
+Maintain `execution-log.md` with per-branch tables:
 
 ```markdown
-| PR#   | Title | Status | Backport PR | Notes   |
-| ----- | ----- | ------ | ----------- | ------- |
-| #XXXX | Title | merged | #YYYY       | Details |
+| PR#   | Title | CI Status                      | Status                            | Backport PR | Notes   |
+| ----- | ----- | ------------------------------ | --------------------------------- | ----------- | ------- |
+| #XXXX | Title | ✅ Pass / ❌ Fail / ⏳ Pending | ✅ Merged / ⏭️ Skip / ⏸️ Deferred | #YYYY       | Details |
 ```
 
 ## Wave Verification Log
 
-Track verification results per wave within execution-log.md:
+Track verification results per wave:
 
 ```markdown
-Wave N Verification -- TARGET_BRANCH
+## Wave N Verification — TARGET_BRANCH
 
 - PRs merged: #A, #B, #C
-- Typecheck: pass / fail
-- Fix PR: #YYYY (if needed)
+- Typecheck: ✅ Pass / ❌ Fail
+- Unit tests: ✅ Pass / ❌ Fail
 - Issues found: (if any)
+- Human review needed: (list any non-trivial conflict resolutions)
 ```
 
 ## Session Report Template
@@ -62,42 +63,40 @@ Wave N Verification -- TARGET_BRANCH
 - Feature branches that need tracking for future sessions?
 ```
 
-## Final Deliverables
+## Final Deliverable: Visual Summary
 
-After all branches are complete and verified, generate these files in `~/temp/backport-session/`:
+At session end, generate a **mermaid diagram** showing all backported PRs organized by target branch and category (MUST/SHOULD), plus a summary table. Present this to the user as the final output.
 
-### 1. execution-log.md (internal)
+```mermaid
+graph TD
+    subgraph branch1["☁️ cloud/X.XX — N PRs"]
+        C1["#XXXX title"]
+        C2["#XXXX title"]
+    end
 
-Per-branch tables with PR#, title, status, backport PR#, notes. Markdown tables are fine — this is for internal tracking, not Slack.
+    subgraph branch2must["🔴 core/X.XX MUST — N PRs"]
+        M1["#XXXX title"]
+    end
 
-### 2. backport-author-accountability.md (Slack-compatible)
+    subgraph branch2should["🟡 core/X.XX SHOULD — N PRs"]
+        S1["#XXXX-#XXXX N auto-merged"]
+        S2["#XXXX-#XXXX N manual picks"]
+    end
 
-See SKILL.md "Final Deliverables" section. Plain text, no emojis/tables/headers/bold. Authors sorted alphabetically with PRs nested under each.
+    classDef cloudStyle fill:#1a3a5c,stroke:#4da6ff,color:#e0f0ff
+    classDef coreStyle fill:#1a4a2e,stroke:#4dff88,color:#e0ffe8
+    classDef mustStyle fill:#5c1a1a,stroke:#ff4d4d,color:#ffe0e0
+    classDef shouldStyle fill:#4a3a1a,stroke:#ffcc4d,color:#fff5e0
+```
 
-### 3. slack-status-update.md (Slack-compatible)
-
-See SKILL.md "Final Deliverables" section. Plain text summary that pastes cleanly into Slack. Includes branch counts, notable fixes, conflict patterns, author count.
-
-## Slack Formatting Rules
-
-Both shareable files (author accountability + status update) must follow these rules:
-
-- No emojis (no checkmarks, no arrows, no icons)
-- No markdown tables (use plain lists with dashes)
-- No headers (no # or ##)
-- No bold (\*_) or italic (_)
-- No inline code backticks
-- Use -- instead of em dash
-- Use plain dashes (-) for lists with 4-space indent for nesting
-- Line breaks between sections for readability
-
-These files should paste directly into a Slack message and look clean.
+Use the `mermaid` tool to render this diagram and present it alongside the summary table as the session's final deliverable.
 
 ## Files to Track
 
-All in `~/temp/backport-session/`:
+- `candidate_list.md` — all candidates per branch
+- `decisions.md` — MUST/SHOULD/SKIP with rationale
+- `wave-plan.md` — execution order
+- `execution-log.md` — real-time status
+- `backport-session-report.md` — final summary
 
-- `execution-plan.md` -- approved PRs with merge SHAs (input)
-- `execution-log.md` -- real-time status with per-branch tables (internal)
-- `backport-author-accountability.md` -- PRs grouped by author (Slack-compatible)
-- `slack-status-update.md` -- session summary (Slack-compatible)
+All in `~/temp/backport-session/`.

.claude/skills/hardening-flaky-e2e-tests/SKILL.md

@@ -1,246 +0,0 @@
----
-name: hardening-flaky-e2e-tests
-description: 'Diagnoses and fixes flaky Playwright e2e tests by replacing race-prone patterns with retry-safe alternatives. Use when triaging CI flakes, hardening spec files, fixing timing races, or asked to stabilize browser tests. Triggers on: flaky, flake, harden, stabilize, race condition in e2e, intermittent failure.'
----
-
-# Hardening Flaky E2E Tests
-
-Fix flaky Playwright specs by identifying race-prone patterns and replacing them with retry-safe alternatives. This skill covers diagnosis, pattern matching, and mechanical transforms — not writing new tests (see `writing-playwright-tests` for that).
-
-## Workflow
-
-### 1. Gather CI Evidence
-
-```bash
-gh run list --workflow=ci-test.yaml --limit=5
-gh run download <run-id> -n playwright-report
-```
-
-- Open `report.json` and search for `"status": "flaky"` entries.
-- Collect file paths, test titles, and error messages.
-- Do NOT trust green checks alone — flaky tests that passed on retry still need fixing.
-- Use `error-context.md`, traces, and page snapshots before editing code.
-- Pull the newest run after each push instead of assuming the flaky set is unchanged.
-
-### 2. Classify the Flake
-
-Read the failing assertion and match it against the pattern table. Most flakes fall into one of these categories:
-
-| #   | Pattern                               | Signature in Code                                         | Fix                                                              |
-| --- | ------------------------------------- | --------------------------------------------------------- | ---------------------------------------------------------------- |
-| 1   | **Snapshot-then-assert**              | `expect(await evaluate()).toBe(x)`                        | `await expect.poll(() => evaluate()).toBe(x)`                    |
-| 2   | **Immediate count**                   | `const n = await loc.count(); expect(n).toBe(3)`          | `await expect(loc).toHaveCount(3)`                               |
-| 3   | **nextFrame after menu click**        | `clickMenuItem(x); nextFrame()`                           | `clickMenuItem(x); contextMenu.waitForHidden()`                  |
-| 4   | **Tight poll timeout**                | `expect.poll(..., { timeout: 250 })`                      | ≥2000 ms; prefer default 5000 ms                                 |
-| 5   | **Immediate evaluate after mutation** | `setSetting(k, v); expect(await evaluate()).toBe(x)`      | `await expect.poll(() => evaluate()).toBe(x)`                    |
-| 6   | **Screenshot without readiness**      | `loadWorkflow(); nextFrame(); toHaveScreenshot()`         | `waitForNodes()` or poll state first                             |
-| 7   | **Non-deterministic node order**      | `getNodeRefsByType('X')[0]` with >1 match                 | `getNodeRefById(id)` or guard `toHaveLength(1)`                  |
-| 8   | **Fake readiness helper**             | Helper clicks but doesn't assert state                    | Remove; poll the actual value                                    |
-| 9   | **Immediate graph state after drop**  | `expect(await getLinkCount()).toBe(1)`                    | `await expect.poll(() => getLinkCount()).toBe(1)`                |
-| 10  | **Immediate boundingBox/layout read** | `const box = await loc.boundingBox(); expect(box!.width)` | `await expect.poll(() => loc.boundingBox().then(b => b?.width))` |
-
-### 3. Apply the Transform
-
-#### Rule: Choose the Smallest Correct Assertion
-
-- **Locator state** → use built-in retrying assertions: `toBeVisible()`, `toHaveText()`, `toHaveCount()`, `toHaveClass()`
-- **Single async value** → `expect.poll(() => asyncFn()).toBe(expected)`
-- **Multiple assertions that must settle together** → `expect(async () => { ... }).toPass()`
-- **Never** use `waitForTimeout()` to hide a race.
-
-```typescript
-// ✅ Single value — use expect.poll
-await expect
-  .poll(() => comfyPage.page.evaluate(() => window.app!.graph.links.length))
-  .toBe(3)
-
-// ✅ Locator count — use toHaveCount
-await expect(comfyPage.page.locator('.dom-widget')).toHaveCount(2)
-
-// ✅ Multiple conditions — use toPass
-await expect(async () => {
-  expect(await node1.getValue()).toBe('foo')
-  expect(await node2.getValue()).toBe('bar')
-}).toPass({ timeout: 5000 })
-```
-
-#### Rule: Wait for the Real Readiness Boundary
-
-Visible is not always ready. Prefer user-facing assertions when possible; poll internal state only when there is no UI surface to assert on.
-
-Common readiness boundaries:
-
-| After this action...                   | Wait for...                                                  |
-| -------------------------------------- | ------------------------------------------------------------ |
-| Canvas interaction (drag, click node)  | `await comfyPage.nextFrame()`                                |
-| Menu item click                        | `await contextMenu.waitForHidden()`                          |
-| Workflow load                          | `await comfyPage.workflow.loadWorkflow(...)` (built-in wait) |
-| Settings write                         | Poll the setting value with `expect.poll()`                  |
-| Node pin/bypass/collapse toggle        | `await expect.poll(() => nodeRef.isPinned()).toBe(true)`     |
-| Graph mutation (add/remove node, link) | Poll link/node count                                         |
-| Clipboard write                        | Poll pasted value                                            |
-| Screenshot                             | Ensure nodes are rendered: `waitForNodes()` or poll state    |
-
-#### Rule: Expose Locators for Retrying Assertions
-
-When a helper returns a count via `await loc.count()`, callers can't use `toHaveCount()`. Expose the underlying `Locator` as a getter so callers choose between:
-
-```typescript
-// Helper exposes locator
-get domWidgets(): Locator {
-  return this.page.locator('.dom-widget')
-}
-
-// Caller uses retrying assertion
-await expect(comfyPage.domWidgets).toHaveCount(2)
-```
-
-Replace count methods with locator getters so callers can use retrying assertions directly.
-
-#### Rule: Fix Check-then-Act Races in Helpers
-
-```typescript
-// ❌ Race: count can change between check and waitFor
-const count = await locator.count()
-if (count > 0) {
-  await locator.waitFor({ state: 'hidden' })
-}
-
-// ✅ Direct: waitFor handles both cases
-await locator.waitFor({ state: 'hidden' })
-```
-
-#### Rule: Remove force:true from Clicks
-
-`force: true` bypasses actionability checks, hiding real animation/visibility races. Remove it and fix the underlying timing issue.
-
-```typescript
-// ❌ Hides the race
-await closeButton.click({ force: true })
-
-// ✅ Surfaces the real issue — fix with proper wait
-await closeButton.click()
-await dialog.waitForHidden()
-```
-
-#### Rule: Handle Non-deterministic Element Order
-
-When `getNodeRefsByType` returns multiple nodes, the order is not guaranteed. Don't use index `[0]` blindly.
-
-```typescript
-// ❌ Assumes order
-const node = (await comfyPage.nodeOps.getNodeRefsByType('CLIPTextEncode'))[0]
-
-// ✅ Find by ID or proximity
-const nodes = await comfyPage.nodeOps.getNodeRefsByType('CLIPTextEncode')
-let target = nodes[0]
-for (const n of nodes) {
-  const pos = await n.getPosition()
-  if (Math.abs(pos.y - expectedY) < minDist) target = n
-}
-```
-
-Or guard the assumption:
-
-```typescript
-const nodes = await comfyPage.nodeOps.getNodeRefsByType('CLIPTextEncode')
-expect(nodes).toHaveLength(1)
-const node = nodes[0]
-```
-
-#### Rule: Use toPass for Timing-sensitive Dismiss Guards
-
-Some UI elements (e.g. LiteGraph's graphdialog) have built-in dismiss delays. Retry the entire dismiss action:
-
-```typescript
-// ✅ Retry click+assert together
-await expect(async () => {
-  await comfyPage.canvas.click({ position: { x: 10, y: 10 } })
-  await expect(dialog).toBeHidden({ timeout: 500 })
-}).toPass({ timeout: 5000 })
-```
-
-### 4. Keep Changes Narrow
-
-- Shared helpers should drive setup to a stable boundary.
-- Do not encode one-spec timing assumptions into generic helpers.
-- If a race only matters to one spec, prefer a local wait in that spec.
-- If a helper fails before the real test begins, remove or relax the brittle precondition and let downstream UI interaction prove readiness.
-
-### 5. Verify Narrowly
-
-```bash
-# Targeted rerun with repetition
-pnpm test:browser:local -- browser_tests/tests/myFile.spec.ts --repeat-each 10
-
-# Single test by line number (avoids grep quoting issues on Windows)
-pnpm test:browser:local -- browser_tests/tests/myFile.spec.ts:42
-```
-
-- Use `--repeat-each 10` for targeted flake verification (use 20 for single test cases).
-- Verify with the smallest command that exercises the flaky path.
-
-### 6. Watch CI E2E Runs
-
-After pushing, use `gh` to monitor the E2E workflow:
-
-```bash
-# Find the run for the current branch
-gh run list --workflow="CI: Tests E2E" --branch=$(git branch --show-current) --limit=1
-
-# Watch it live (blocks until complete, streams logs)
-gh run watch <run-id>
-
-# One-liner: find and watch the latest E2E run for the current branch
-gh run list --workflow="CI: Tests E2E" --branch=$(git branch --show-current) --limit=1 --json databaseId --jq ".[0].databaseId" | xargs gh run watch
-```
-
-On Windows (PowerShell):
-
-```powershell
-# One-liner equivalent
-gh run watch (gh run list --workflow="CI: Tests E2E" --branch=$(git branch --show-current) --limit=1 --json databaseId --jq ".[0].databaseId")
-```
-
-After the run completes:
-
-```bash
-# Download the Playwright report artifact
-gh run download <run-id> -n playwright-report
-
-# View the run summary in browser
-gh run view <run-id> --web
-```
-
-Also watch the unit test workflow in parallel if you changed helpers:
-
-```bash
-gh run list --workflow="CI: Tests Unit" --branch=$(git branch --show-current) --limit=1
-```
-
-### 7. Pre-merge Checklist
-
-Before merging a flaky-test fix, confirm:
-
-- [ ] The latest CI artifact was inspected directly
-- [ ] The root cause is stated as a race or readiness mismatch
-- [ ] The fix waits on the real readiness boundary
-- [ ] The assertion primitive matches the job (poll vs toHaveCount vs toPass)
-- [ ] The fix stays local unless a shared helper truly owns the race
-- [ ] Local verification uses a targeted rerun
-- [ ] No behavioral changes to the test — only timing/retry strategy updated
-
-## Local Noise — Do Not Fix
-
-These are local distractions, not CI root causes:
-
-- Missing local input fixture files required by the test path
-- Missing local models directory
-- Teardown `EPERM` while restoring the local browser-test user data directory
-- Local screenshot baseline differences on Windows
-
-Rules:
-
-- First confirm whether it blocks the exact flaky path under investigation.
-- Do not commit temporary local assets used only for verification.
-- Do not commit local screenshot baselines.

.claude/skills/ticket-intake/SKILL.md

@@ -0,0 +1,361 @@
+---
+name: ticket-intake
+description: 'Parse ticket URL (Notion or GitHub), extract all data, initialize pipeline run. Use when starting work on a new ticket or when asked to pick up a ticket.'
+---
+
+# Ticket Intake
+
+Parses a ticket URL from supported sources (Notion or GitHub), extracts all relevant information, and creates a ticket in the pipeline API.
+
+> **🚨 CRITICAL REQUIREMENT**: This skill MUST register the ticket in the Pipeline API and update the source (Notion/GitHub). If these steps are skipped, the entire pipeline breaks. See [Mandatory API Calls](#mandatory-api-calls-execute-all-three) below.
+
+## Supported Sources
+
+| Source | URL Pattern                                         | Provider File         |
+| ------ | --------------------------------------------------- | --------------------- |
+| Notion | `https://notion.so/...` `https://www.notion.so/...` | `providers/notion.md` |
+| GitHub | `https://github.com/{owner}/{repo}/issues/{n}`      | `providers/github.md` |
+
+## Quick Start
+
+When given a ticket URL:
+
+1. **Detect source type** from URL pattern
+2. **Load provider-specific logic** from `providers/` directory
+3. Fetch ticket content via appropriate API
+4. Extract and normalize properties to common schema
+5. **Register ticket in pipeline API** ← MANDATORY
+6. **Update source** (Notion status / GitHub comment) ← MANDATORY
+7. **Run verification script** to confirm API registration
+8. Output summary and handoff to `research-orchestrator`
+
+## Configuration
+
+Uses the **production API** by default. No configuration needed for read operations.
+
+**Defaults (no setup required):**
+
+- API URL: `https://api-gateway-856475788601.us-central1.run.app`
+- Read-only endpoints at `/public/*` require no authentication
+
+**For write operations** (transitions, creating tickets), set:
+
+```bash
+export PIPELINE_API_KEY="..."  # Get from GCP Secret Manager or ask admin
+```
+
+**Optional (for local working artifacts):**
+
+```bash
+PIPELINE_DIR="${PIPELINE_DIR:-$HOME/repos/ticket-to-pr-pipeline}"
+```
+
+## Mandatory API Calls (Execute ALL Three)
+
+**⚠️ These three API calls are the ENTIRE POINT of this skill. Without them, the ticket is invisible to the pipeline, downstream skills will fail, and Notion status won't update.**
+
+**You MUST make these HTTP requests.** Use `curl` from bash — do not just read this as documentation.
+
+### Call 1: Create Ticket
+
+```bash
+API_URL="${PIPELINE_API_URL:-https://api-gateway-856475788601.us-central1.run.app}"
+API_KEY="${PIPELINE_API_KEY}"
+
+curl -s -X POST "${API_URL}/v1/tickets" \
+  -H "Authorization: Bearer ${API_KEY}" \
+  -H "Content-Type: application/json" \
+  -H "X-Agent-ID: ${AGENT_ID:-amp-agent}" \
+  -d '{
+    "notion_page_id": "NOTION_PAGE_UUID_HERE",
+    "title": "TICKET_TITLE_HERE",
+    "source": "notion",
+    "metadata": {
+      "description": "DESCRIPTION_HERE",
+      "priority": "High",
+      "labels": [],
+      "acceptanceCriteria": []
+    }
+  }'
+```
+
+Save the returned `id` — you need it for the next two calls.
+
+### Call 2: Transition to RESEARCH
+
+```bash
+TICKET_ID="id-from-step-1"
+
+curl -s -X POST "${API_URL}/v1/tickets/${TICKET_ID}/transition" \
+  -H "Authorization: Bearer ${API_KEY}" \
+  -H "Content-Type: application/json" \
+  -H "X-Agent-ID: ${AGENT_ID:-amp-agent}" \
+  -d '{
+    "to_state": "RESEARCH",
+    "reason": "Intake complete, starting research"
+  }'
+```
+
+### Call 3: Queue Source Update
+
+```bash
+curl -s -X POST "${API_URL}/v1/sync/queue" \
+  -H "Authorization: Bearer ${API_KEY}" \
+  -H "Content-Type: application/json" \
+  -H "X-Agent-ID: ${AGENT_ID:-amp-agent}" \
+  -d '{
+    "ticket_id": "TICKET_ID_HERE",
+    "action": "update_status",
+    "payload": { "status": "In Progress" },
+    "priority": "normal"
+  }'
+```
+
+> **Note:** The action MUST be `"update_status"` (not `"UPDATE_NOTION_STATUS"`). Valid actions: `update_status`, `update_pr_url`, `mark_done`.
+
+### TypeScript Equivalent (if using pipeline client)
+
+```typescript
+import { PipelineClient } from '@pipeline/client'
+
+const client = new PipelineClient({
+  apiUrl:
+    process.env.PIPELINE_API_URL ||
+    'https://api-gateway-856475788601.us-central1.run.app',
+  agentId: process.env.AGENT_ID!
+})
+
+const ticket = await client.createTicket({
+  notion_page_id: pageId,
+  title: ticketTitle,
+  source: 'notion',
+  metadata: { description, priority, labels, acceptanceCriteria }
+})
+
+await client.transitionState(
+  ticket.id,
+  'RESEARCH',
+  'Intake complete, starting research'
+)
+
+await client.queueSync(ticket.id, 'update_status', { status: 'In Progress' })
+```
+
+## Workflow
+
+### Step 1: Detect Source Type
+
+Parse the URL to determine source:
+
+```javascript
+if (url.includes('notion.so')) {
+  source = 'notion'
+  // Load providers/notion.md
+} else if (url.match(/github\.com\/[^\/]+\/[^\/]+\/issues\/\d+/)) {
+  source = 'github'
+  // Load providers/github.md
+} else {
+  // Error: Unsupported URL format
+}
+```
+
+### Step 2: Load Provider and Fetch Data
+
+Read the appropriate provider file for source-specific instructions:
+
+- **Notion**: `providers/notion.md` - Uses Notion MCP, handles Slack links
+- **GitHub**: `providers/github.md` - Uses `gh` CLI, handles Dosu comments
+
+Follow the provider's instructions for:
+
+- Fetching content
+- Extracting properties
+- **Updating the source** (Notion status → "In Progress", Assignee → pipeline owner)
+
+### Step 3: Normalize to Common Schema
+
+All providers must extract normalized ticket data following `schema.md`:
+
+```json
+{
+  "id": "abc12345",
+  "url": "https://...",
+  "source": "notion | github",
+  "title": "Ticket title",
+  "description": "Full description",
+  "status": "Not Started",
+  "assignee": "username",
+  "priority": "High",
+  "area": "UI",
+  "labels": ["bug", "frontend"],
+  "acceptanceCriteria": ["Criterion 1", "Criterion 2"],
+  "fetchedAt": "2024-01-15T10:30:00Z"
+}
+```
+
+### Step 4: Register Ticket in Pipeline API (MANDATORY — DO NOT SKIP)
+
+**Execute all three API calls from [Mandatory API Calls](#mandatory-api-calls-execute-all-three) above.**
+
+This is not optional. This is not documentation. You MUST make these HTTP requests right now.
+
+1. `createTicket()` → save the returned ticket ID
+2. `transitionState(id, 'RESEARCH')` → confirm state changed
+3. `queueSync(id, 'update_status', { status: 'In Progress' })` → confirm queued
+
+**If any call fails**, retry once. If it still fails, report the error prominently — do NOT silently continue.
+
+### Step 5: Run Verification Script
+
+After making the API calls, run the verification script to confirm everything worked:
+
+```bash
+bash scripts/verify-intake.sh TICKET_ID_OR_NOTION_PAGE_ID
+```
+
+**If the script is not available locally**, verify manually via the public API:
+
+```bash
+curl -s "${API_URL}/public/tickets/${TICKET_ID}" | jq '{id, state, title, notion_page_id}'
+```
+
+Expected output:
+
+```json
+{
+  "id": "...",
+  "state": "RESEARCH",
+  "title": "...",
+  "notion_page_id": "..."
+}
+```
+
+**If `state` is not `RESEARCH`, go back to Step 4 and complete the missing calls.**
+
+### Step 6: Output Summary and Handoff
+
+Print a clear summary:
+
+```markdown
+## Ticket Intake Complete
+
+**Source:** Notion | GitHub
+**Title:** [Ticket title]
+**ID:** abc12345
+**Status:** In Progress (queued)
+**Priority:** High
+**Area:** UI
+
+### Description
+
+[Brief description or first 200 chars]
+
+### Acceptance Criteria
+
+- [ ] Criterion 1
+- [ ] Criterion 2
+
+### Links
+
+- **Ticket:** [Original URL]
+- **Slack:** [Slack thread content fetched via slackdump] (Notion only)
+
+### Pipeline
+
+- **API Ticket ID:** abc12345
+- **State:** RESEARCH
+- **Verified:** ✅ (via verify-intake.sh or public API)
+```
+
+**After printing the summary, immediately handoff** to continue the pipeline. Use the `handoff` tool with all necessary context (ticket ID, source, title, description, slack context if any):
+
+> **Handoff goal:** "Continue pipeline for ticket {ID} ({title}). Ticket is in RESEARCH state. Load skill: `research-orchestrator` to begin research phase. Ticket data: source={source}, notion_page_id={pageId}, priority={priority}. {slack context summary if available}"
+
+**Do NOT wait for human approval to proceed.** The intake phase is complete — handoff immediately.
+
+## Error Handling
+
+### Unsupported URL
+
+```
+❌ Unsupported ticket URL format.
+
+Supported formats:
+- Notion: https://notion.so/... or https://www.notion.so/...
+- GitHub: https://github.com/{owner}/{repo}/issues/{number}
+
+Received: [provided URL]
+```
+
+### Provider-Specific Errors
+
+See individual provider files for source-specific error handling:
+
+- `providers/notion.md` - Authentication, page not found
+- `providers/github.md` - Auth, rate limits, issue not found
+
+### Missing Properties
+
+Continue with available data and note what's missing:
+
+```
+⚠️ Some properties unavailable:
+- Priority: not found (using default: Medium)
+- Area: not found
+
+Proceeding with available data...
+```
+
+### API Call Failures
+
+```
+❌ Pipeline API call failed: {method} {endpoint}
+   Status: {status}
+   Error: {message}
+
+Retrying once...
+
+❌ Retry also failed. INTAKE IS INCOMPLETE.
+   The ticket was NOT registered in the pipeline.
+   Downstream skills will not work until this is fixed.
+```
+
+## Notes
+
+- This skill focuses ONLY on intake — it does not do research
+- Slack thread content is fetched automatically via the `slackdump` skill — no manual copy-paste needed
+- ALL API calls (createTicket, transitionState, queueSync) are MANDATORY — never skip them
+- The `queueSync` action must be `"update_status"`, NOT `"UPDATE_NOTION_STATUS"`
+- Pipeline state is tracked via the API, not local files
+- Working artifacts (research-report.md, plan.md) can be saved locally to `$PIPELINE_DIR/runs/{ticket-id}/`
+- The `source` field in the ticket determines which research strategies to use
+
+## API Client Reference
+
+### Available Methods
+
+| Method                                                      | Description                                                         |
+| ----------------------------------------------------------- | ------------------------------------------------------------------- |
+| `createTicket({ notion_page_id, title, source, metadata })` | Create a new ticket in the API                                      |
+| `getTicket(id)`                                             | Retrieve a ticket by ID                                             |
+| `findByNotionId(notionPageId)`                              | Look up a ticket by its Notion page ID                              |
+| `listTickets({ state, agent_id, limit, offset })`           | List tickets with optional filters                                  |
+| `transitionState(id, state, reason)`                        | Move ticket to a new state (e.g., `'RESEARCH'`)                     |
+| `setPRCreated(id, prUrl)`                                   | Mark ticket as having a PR created                                  |
+| `queueSync(id, action, payload)`                            | Queue a sync action (`update_status`, `update_pr_url`, `mark_done`) |
+| `registerBranch(id, branch, repo)`                          | Register working branch for automatic PR detection                  |
+
+### Error Handling
+
+```typescript
+import { PipelineClient, PipelineAPIError } from '@pipeline/client';
+
+try {
+  await client.createTicket({ ... });
+} catch (error) {
+  if (error instanceof PipelineAPIError) {
+    console.error(`API Error ${error.status}: ${error.message}`);
+  }
+  throw error;
+}
+```

.claude/skills/ticket-intake/providers/github.md

@@ -0,0 +1,194 @@
+# GitHub Provider - Ticket Intake
+
+Provider-specific logic for ingesting tickets from GitHub Issues.
+
+## URL Pattern
+
+```
+https://github.com/{owner}/{repo}/issues/{number}
+https://www.github.com/{owner}/{repo}/issues/{number}
+```
+
+Extract: `owner`, `repo`, `issue_number` from URL.
+
+## Prerequisites
+
+- `gh` CLI authenticated (`gh auth status`)
+- Access to the repository
+
+## Fetch Issue Content
+
+Use `gh` CLI to fetch issue details:
+
+```bash
+# Get issue details in JSON
+gh issue view {number} --repo {owner}/{repo} --json title,body,state,labels,assignees,milestone,author,createdAt,comments,linkedPRs
+
+# Get comments separately if needed
+gh issue view {number} --repo {owner}/{repo} --comments
+```
+
+## Extract Ticket Data
+
+Map GitHub issue fields to normalized ticket data (stored via API):
+
+| GitHub Field | ticket.json Field | Notes                      |
+| ------------ | ----------------- | -------------------------- |
+| title        | title             | Direct mapping             |
+| body         | description       | Issue body/description     |
+| state        | status            | Map: open → "Not Started"  |
+| labels       | labels            | Array of label names       |
+| assignees    | assignee          | First assignee login       |
+| author       | author            | Issue author login         |
+| milestone    | milestone         | Milestone title if present |
+| comments     | comments          | Array of comment objects   |
+| linkedPRs    | linkedPRs         | PRs linked to this issue   |
+
+### Priority Mapping
+
+Infer priority from labels:
+
+- `priority:critical`, `P0` → "Critical"
+- `priority:high`, `P1` → "High"
+- `priority:medium`, `P2` → "Medium"
+- `priority:low`, `P3` → "Low"
+- No priority label → "Medium" (default)
+
+### Area Mapping
+
+Infer area from labels:
+
+- `area:ui`, `frontend`, `component:*` → "UI"
+- `area:api`, `backend` → "API"
+- `area:docs`, `documentation` → "Docs"
+- `bug`, `fix` → "Bug"
+- `enhancement`, `feature` → "Feature"
+
+## Update Source
+
+**For GitHub issues, update is optional but recommended.**
+
+Add a comment to indicate work has started:
+
+```bash
+gh issue comment {number} --repo {owner}/{repo} --body "🤖 Pipeline started processing this issue."
+```
+
+Optionally assign to self:
+
+```bash
+gh issue edit {number} --repo {owner}/{repo} --add-assignee @me
+```
+
+Log any updates via the Pipeline API:
+
+```typescript
+await client.updateTicket(ticketId, {
+  metadata: {
+    ...ticket.metadata,
+    githubWrites: [
+      ...(ticket.metadata?.githubWrites || []),
+      {
+        action: 'comment',
+        issueNumber: 123,
+        at: new Date().toISOString(),
+        skill: 'ticket-intake',
+        success: true
+      }
+    ]
+  }
+})
+```
+
+## GitHub-Specific Ticket Fields
+
+Store via API using `client.createTicket()`:
+
+```json
+{
+  "source": "github",
+  "githubOwner": "Comfy-Org",
+  "githubRepo": "ComfyUI_frontend",
+  "githubIssueNumber": 123,
+  "githubIssueUrl": "https://github.com/Comfy-Org/ComfyUI_frontend/issues/123",
+  "labels": ["bug", "area:ui", "priority:high"],
+  "linkedPRs": [456, 789],
+  "dosuComment": "..." // Extracted Dosu bot analysis if present
+}
+```
+
+## Dosu Bot Detection
+
+Many repositories use Dosu bot for automated issue analysis. Check comments for Dosu:
+
+```bash
+gh issue view {number} --repo {owner}/{repo} --comments | grep -A 100 "dosu"
+```
+
+Look for comments from:
+
+- `dosu[bot]`
+- `dosu-bot`
+
+Extract Dosu analysis which typically includes:
+
+- Root cause analysis
+- Suggested files to modify
+- Related issues/PRs
+- Potential solutions
+
+Store in ticket data via API:
+
+```json
+{
+  "dosuComment": {
+    "found": true,
+    "analysis": "...",
+    "suggestedFiles": ["src/file1.ts", "src/file2.ts"],
+    "relatedIssues": [100, 101]
+  }
+}
+```
+
+## Extract Linked Issues/PRs
+
+Parse issue body and comments for references:
+
+- `#123` → Issue or PR reference
+- `fixes #123`, `closes #123` → Linked issue
+- `https://github.com/.../issues/123` → Full URL reference
+
+Store in ticket data via API for research phase:
+
+```json
+{
+  "referencedIssues": [100, 101, 102],
+  "referencedPRs": [200, 201]
+}
+```
+
+## Error Handling
+
+### Authentication Error
+
+```
+⚠️ GitHub CLI not authenticated.
+Run: gh auth login
+```
+
+### Issue Not Found
+
+```
+❌ GitHub issue not found or inaccessible.
+- Check the URL is correct
+- Ensure you have access to this repository
+- Run: gh auth status
+```
+
+### Rate Limiting
+
+```
+⚠️ GitHub API rate limited.
+Wait a few minutes and try again.
+Check status: gh api rate_limit
+```

.claude/skills/ticket-intake/providers/notion.md

@@ -0,0 +1,202 @@
+# Notion Provider - Ticket Intake
+
+Provider-specific logic for ingesting tickets from Notion.
+
+## URL Pattern
+
+```
+https://www.notion.so/workspace/Page-Title-abc123def456...
+https://notion.so/Page-Title-abc123def456...
+https://www.notion.so/abc123def456...
+```
+
+Page ID is the 32-character hex string (with or without hyphens).
+
+## Prerequisites
+
+- Notion MCP connected and authenticated
+- If not setup: `claude mcp add --transport http notion https://mcp.notion.com/mcp`
+- Authenticate via `/mcp` command if prompted
+
+## Fetch Ticket Content
+
+Use `Notion:notion-fetch` with the page URL or ID:
+
+```
+Fetch the full page content including all properties
+```
+
+## Extract Ticket Data
+
+Extract these properties (names may vary):
+
+| Property      | Expected Name             | Type         |
+| ------------- | ------------------------- | ------------ |
+| Title         | Name / Title              | Title        |
+| Status        | Status                    | Select       |
+| Assignee      | Assignee / Assigned To    | Person       |
+| Description   | -                         | Page content |
+| Slack Link    | Slack Link / Slack Thread | URL          |
+| GitHub PR     | GitHub PR / PR Link       | URL          |
+| Priority      | Priority                  | Select       |
+| Area          | Area / Category           | Select       |
+| Related Tasks | Related Tasks             | Relation     |
+
+**If properties are missing**: Note what's unavailable and continue with available data.
+
+## Update Source (REQUIRED)
+
+**⚠️ DO NOT SKIP THIS STEP. This is a required action, not optional.**
+
+**⚠️ Notion Write Safety rules apply (see `$PIPELINE_DIR/docs/notion-write-safety.md` for full reference):**
+
+- **Whitelist**: Only `Status`, `GitHub PR`, and `Assignee` fields may be written
+- **Valid transitions**: Not Started → In Progress, In Progress → In Review, In Review → Done
+- **Logging**: Every write attempt MUST be logged with timestamp, field, value, previous value, skill name, and success status
+
+Use `Notion:notion-update-page` to update the ticket:
+
+1. **Status**: Set to "In Progress" (only valid from "Not Started")
+2. **Assignee**: Assign to pipeline owner (Notion ID: `175d872b-594c-81d4-ba5a-0002911c5966`)
+
+```json
+{
+  "page_id": "{page_id_from_ticket}",
+  "command": "update_properties",
+  "properties": {
+    "Status": "In Progress",
+    "Assignee": "175d872b-594c-81d4-ba5a-0002911c5966"
+  }
+}
+```
+
+**After the update succeeds**, log the write via the Pipeline API:
+
+```typescript
+await client.updateTicket(ticketId, {
+  metadata: {
+    ...ticket.metadata,
+    notionWrites: [
+      ...(ticket.metadata?.notionWrites || []),
+      {
+        field: 'Status',
+        value: 'In Progress',
+        previousValue: 'Not Started',
+        at: new Date().toISOString(),
+        skill: 'ticket-intake',
+        success: true
+      }
+    ]
+  }
+})
+```
+
+If update fails, log with `success: false` and continue.
+
+## Notion-Specific Ticket Fields
+
+Store via API using `client.createTicket()`:
+
+```json
+{
+  "source": "notion",
+  "notionPageId": "abc123def456...",
+  "slackLink": "https://slack.com/...",
+  "relatedTasks": ["page-id-1", "page-id-2"]
+}
+```
+
+## Slack Thread Handling
+
+If a Slack link exists, use the `slackdump` skill to fetch the thread content programmatically.
+
+### Slack URL Conversion
+
+Notion stores Slack links in `slackMessage://` format:
+
+```
+slackMessage://comfy-organization.slack.com/CHANNEL_ID/THREAD_TS/MESSAGE_TS
+```
+
+Convert to browser-clickable format:
+
+```
+https://comfy-organization.slack.com/archives/CHANNEL_ID/pMESSAGE_TS_NO_DOT
+```
+
+**Example:**
+
+- Input: `slackMessage://comfy-organization.slack.com/C075ANWQ8KS/1766022478.450909/1764772881.854829`
+- Output: `https://comfy-organization.slack.com/archives/C075ANWQ8KS/p1764772881854829`
+
+(Remove the dot from the last timestamp and prefix with `p`)
+
+### Fetching Thread Content
+
+Load the `slackdump` skill and use the **export-thread** workflow:
+
+```bash
+# Export thread by URL
+slackdump dump "https://comfy-organization.slack.com/archives/CHANNEL_ID/pMESSAGE_TS"
+
+# Or by colon notation (channel_id:thread_ts)
+slackdump dump CHANNEL_ID:THREAD_TS
+```
+
+Save the thread content to `$RUN_DIR/slack-context.md` and include it in the ticket metadata.
+
+> **No manual action required.** The slackdump CLI handles authentication via stored credentials at `~/.cache/slackdump/comfy-organization.bin`.
+
+## Database Reference: Comfy Tasks
+
+The "Comfy Tasks" database has these properties (verify via `notion-search`):
+
+- **Status values**: Not Started, In Progress, In Review, Done
+- **Team assignment**: "Frontend Team" for unassigned tickets
+- **Filtering note**: Team filtering in Notion may have quirks - handle gracefully
+
+### Pipeline Owner Details
+
+When assigning tickets, use these identifiers:
+
+| Platform        | Identifier                             |
+| --------------- | -------------------------------------- |
+| Notion User ID  | `175d872b-594c-81d4-ba5a-0002911c5966` |
+| Notion Name     | Christian Byrne                        |
+| Notion Email    | cbyrne@comfy.org                       |
+| Slack User ID   | U087MJCDHHC                            |
+| GitHub Username | christian-byrne                        |
+
+**To update Assignee**, use the Notion User ID (not name):
+
+```
+properties: {"Assignee": "175d872b-594c-81d4-ba5a-0002911c5966"}
+```
+
+### Finding Active Tickets
+
+To list your active tickets:
+
+```
+Use Notion:notion-search for "Comfy Tasks"
+Filter by Assignee = current user OR Team = "Frontend Team"
+```
+
+## Error Handling
+
+### Authentication Error
+
+```
+⚠️ Notion authentication required.
+Run: claude mcp add --transport http notion https://mcp.notion.com/mcp
+Then authenticate via /mcp command.
+```
+
+### Page Not Found
+
+```
+❌ Notion page not found or inaccessible.
+- Check the URL is correct
+- Ensure you have access to this page
+- Try re-authenticating via /mcp
+```

.claude/skills/ticket-intake/schema.md

@@ -0,0 +1,81 @@
+# Ticket Schema
+
+Common schema for normalized ticket data across all sources. This data is stored and retrieved via the Pipeline API, not local files.
+
+## Ticket Data Schema
+
+```json
+{
+  // Required fields (all sources)
+  "id": "string", // Unique identifier (short form)
+  "url": "string", // Original URL
+  "source": "notion | github", // Source type
+  "title": "string", // Ticket title
+  "description": "string", // Full description/body
+  "fetchedAt": "ISO8601", // When ticket was fetched
+
+  // Common optional fields
+  "status": "string", // Current status
+  "assignee": "string", // Assigned user
+  "priority": "string", // Priority level
+  "area": "string", // Category/area
+  "labels": ["string"], // Tags/labels
+  "acceptanceCriteria": ["string"] // List of AC items
+
+  // Source-specific fields (see providers)
+  // Notion: notionPageId, slackLink, relatedTasks, notionWrites
+  // GitHub: githubOwner, githubRepo, githubIssueNumber, linkedPRs, dosuComment, referencedIssues
+}
+```
+
+## Ticket State Schema (via API)
+
+State is managed via the Pipeline API using `client.transitionState()`:
+
+```json
+{
+  "ticketId": "string",
+  "state": "intake | research | planning | implementation | pr_created | done | failed",
+  "stateChangedAt": "ISO8601",
+
+  // Timestamps tracked by API
+  "createdAt": "ISO8601",
+  "updatedAt": "ISO8601"
+}
+```
+
+## Priority Normalization
+
+All sources should normalize to these values:
+
+| Normalized | Description               |
+| ---------- | ------------------------- |
+| Critical   | Production down, security |
+| High       | Blocking work, urgent     |
+| Medium     | Normal priority (default) |
+| Low        | Nice to have, backlog     |
+
+## Status Normalization
+
+Pipeline tracks these statuses internally:
+
+| Status         | Description                  |
+| -------------- | ---------------------------- |
+| research       | Gathering context            |
+| planning       | Creating implementation plan |
+| implementation | Writing code                 |
+| review         | Code review in progress      |
+| qa             | Quality assurance            |
+| done           | PR merged or completed       |
+
+## ID Generation
+
+IDs are generated by the API when creating tickets. For reference:
+
+- **Notion**: First 8 characters of page ID
+- **GitHub**: `gh-{owner}-{repo}-{issue_number}` (sanitized)
+
+Examples:
+
+- Notion: `abc12345`
+- GitHub: `gh-comfy-org-frontend-123`

.editorconfig

@@ -1,12 +0,0 @@
-root = true
-
-[*]
-indent_style = space
-indent_size = 2
-end_of_line = lf
-charset = utf-8
-trim_trailing_whitespace = true
-insert_final_newline = true
-
-[*.md]
-trim_trailing_whitespace = false

.github/actions/find-workflow-run/action.yaml

@@ -1,65 +0,0 @@
-name: Find Workflow Run
-description: Finds a workflow run for a given commit SHA and outputs its status and run ID.
-
-inputs:
-  workflow-id:
-    description: The workflow filename (e.g., 'ci-size-data.yaml')
-    required: true
-  head-sha:
-    description: The commit SHA to find runs for
-    required: true
-  not-found-status:
-    description: Status to output when no run exists
-    required: false
-    default: pending
-  token:
-    description: GitHub token for API access
-    required: true
-
-outputs:
-  status:
-    description: One of 'ready', 'pending', 'failed', or the not-found-status value
-    value: ${{ steps.find.outputs.status }}
-  run-id:
-    description: The workflow run ID (only set when status is 'ready')
-    value: ${{ steps.find.outputs.run-id }}
-
-runs:
-  using: composite
-  steps:
-    - name: Find workflow run
-      id: find
-      uses: actions/github-script@v8
-      env:
-        WORKFLOW_ID: ${{ inputs.workflow-id }}
-        HEAD_SHA: ${{ inputs.head-sha }}
-        NOT_FOUND_STATUS: ${{ inputs.not-found-status }}
-      with:
-        github-token: ${{ inputs.token }}
-        script: |
-          const { data: runs } = await github.rest.actions.listWorkflowRuns({
-            owner: context.repo.owner,
-            repo: context.repo.repo,
-            workflow_id: process.env.WORKFLOW_ID,
-            head_sha: process.env.HEAD_SHA,
-            per_page: 1,
-          });
-
-          const run = runs.workflow_runs[0];
-          if (!run) {
-            core.setOutput('status', process.env.NOT_FOUND_STATUS);
-            return;
-          }
-
-          if (run.status !== 'completed') {
-            core.setOutput('status', 'pending');
-            return;
-          }
-
-          if (run.conclusion !== 'success') {
-            core.setOutput('status', 'failed');
-            return;
-          }
-
-          core.setOutput('status', 'ready');
-          core.setOutput('run-id', String(run.id));

.github/actions/lint-format-verify/action.yml

@@ -1,31 +0,0 @@
-name: 'Lint and format verify'
-description: >
-  Runs the lint/format/knip verification suite plus a conditional
-  browser-tests typecheck. Shared by ci-lint-format.yaml (PR) and
-  ci-lint-format-queue.yaml (merge queue) so both paths run the exact
-  same checks. The caller is responsible for checkout and frontend setup
-  before invoking this action.
-
-runs:
-  using: composite
-  steps:
-    - name: Detect browser_tests changes
-      id: changed-paths
-      uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3.0.2
-      with:
-        filters: |
-          browser_tests:
-            - 'browser_tests/**'
-
-    - name: Verify lint and format
-      shell: bash
-      run: |
-        pnpm lint
-        pnpm stylelint
-        pnpm format:check
-        pnpm knip
-
-    - name: Typecheck browser tests
-      if: steps.changed-paths.outputs.browser_tests == 'true'
-      shell: bash
-      run: pnpm typecheck:browser

.github/workflows/api-update-registry-api-types.yaml

@@ -0,0 +1,107 @@
+# Description: When upstream comfy-api is updated, click dispatch to update the TypeScript type definitions in this repo
+name: 'Api: Update Registry API Types'
+
+on:
+  # Manual trigger
+  workflow_dispatch:
+
+  # Triggered from comfy-api repo
+  repository_dispatch:
+    types: [comfy-api-updated]
+
+jobs:
+  update-registry-types:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v6
+
+      - name: Install pnpm
+        uses: pnpm/action-setup@fc06bc1257f339d1d5d8b3a19a8cae5388b55320 # v4.4.0
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version-file: '.nvmrc'
+          cache: 'pnpm'
+
+      - name: Install dependencies
+        run: pnpm install --frozen-lockfile
+
+      - name: Checkout comfy-api repository
+        uses: actions/checkout@v6
+        with:
+          repository: Comfy-Org/comfy-api
+          path: comfy-api
+          token: ${{ secrets.COMFY_API_PAT }}
+          clean: true
+
+      - name: Get API commit information
+        id: api-info
+        run: |
+          cd comfy-api
+          API_COMMIT=$(git rev-parse --short HEAD)
+          echo "commit=${API_COMMIT}" >> $GITHUB_OUTPUT
+          cd ..
+
+      - name: Generate API types
+        run: |
+          echo "Generating TypeScript types from comfy-api@${{ steps.api-info.outputs.commit }}..."
+          mkdir -p ./packages/registry-types/src
+          pnpm dlx openapi-typescript ./comfy-api/openapi.yml --output ./packages/registry-types/src/comfyRegistryTypes.ts
+
+      - name: Validate generated types
+        run: |
+          if [ ! -f ./packages/registry-types/src/comfyRegistryTypes.ts ]; then
+            echo "Error: Types file was not generated."
+            exit 1
+          fi
+
+          # Check if file is not empty
+          if [ ! -s ./packages/registry-types/src/comfyRegistryTypes.ts ]; then
+            echo "Error: Generated types file is empty."
+            exit 1
+          fi
+
+      - name: Lint generated types
+        run: |
+          echo "Linting generated Comfy Registry API types..."
+          pnpm lint:fix:no-cache -- ./packages/registry-types/src/comfyRegistryTypes.ts
+
+      - name: Check for changes
+        id: check-changes
+        run: |
+          if [[ -z $(git status --porcelain ./packages/registry-types/src/comfyRegistryTypes.ts) ]]; then
+            echo "No changes to Comfy Registry API types detected."
+            echo "changed=false" >> $GITHUB_OUTPUT
+            exit 0
+          else
+            echo "Changes detected in Comfy Registry API types."
+            echo "changed=true" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Create Pull Request
+        if: steps.check-changes.outputs.changed == 'true'
+        uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8.1.0
+        with:
+          token: ${{ secrets.PR_GH_TOKEN }}
+          commit-message: '[chore] Update Comfy Registry API types from comfy-api@${{ steps.api-info.outputs.commit }}'
+          title: '[chore] Update Comfy Registry API types from comfy-api@${{ steps.api-info.outputs.commit }}'
+          body: |
+            ## Automated API Type Update
+
+            This PR updates the Comfy Registry API types from the latest comfy-api OpenAPI specification.
+
+            - API commit: ${{ steps.api-info.outputs.commit }}
+            - Generated on: ${{ github.event.repository.updated_at }}
+
+            These types are automatically generated using openapi-typescript.
+          branch: update-registry-types-${{ steps.api-info.outputs.commit }}
+          base: main
+          labels: CNR
+          delete-branch: true
+          add-paths: |
+            packages/registry-types/src/comfyRegistryTypes.ts

.github/workflows/ci-lint-format-queue.yaml

@@ -1,29 +0,0 @@
-# Description: Lint and format verification for GitHub merge queue runs.
-# Paired with ci-lint-format.yaml — workflow name and job name must match
-# so branch protection resolves a single required check in both the
-# pull_request and merge_group contexts. This file runs verify-only steps
-# with a read-only token; auto-fix and PR comments live in the PR workflow.
-name: 'CI: Lint Format'
-
-on:
-  merge_group:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-permissions:
-  contents: read
-
-jobs:
-  lint-and-format:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout merge group ref
-        uses: actions/checkout@v6
-
-      - name: Setup frontend
-        uses: ./.github/actions/setup-frontend
-
-      - name: Verify lint and format
-        uses: ./.github/actions/lint-format-verify

.github/workflows/ci-lint-format.yaml

@@ -1,7 +1,4 @@
-# Description: Linting and code formatting validation for pull requests.
-# Paired with ci-lint-format-queue.yaml - workflow name and job name must
-# match so branch protection resolves a single required check in both the
-# pull_request and merge_group contexts.
+# Description: Linting and code formatting validation for pull requests
 name: 'CI: Lint Format'
 
 on:
@@ -29,6 +26,14 @@ jobs:
       - name: Setup frontend
         uses: ./.github/actions/setup-frontend
 
+      - name: Detect browser_tests changes
+        id: changed-paths
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3.0.2
+        with:
+          filters: |
+            browser_tests:
+              - 'browser_tests/**'
+
       - name: Run ESLint with auto-fix
         run: pnpm lint:fix
 
@@ -72,8 +77,16 @@ jobs:
           echo "See CONTRIBUTING.md for more details."
           exit 1
 
-      - name: Verify lint and format
-        uses: ./.github/actions/lint-format-verify
+      - name: Final validation
+        run: |
+          pnpm lint
+          pnpm stylelint
+          pnpm format:check
+          pnpm knip
+
+      - name: Typecheck browser tests
+        if: steps.changed-paths.outputs.browser_tests == 'true'
+        run: pnpm typecheck:browser
 
       - name: Comment on PR about auto-fix
         if: steps.verify-changed-files.outputs.changed == 'true' && github.event.pull_request.head.repo.full_name == github.repository

.github/workflows/ci-tests-e2e-coverage.yaml

@@ -1,147 +0,0 @@
-name: 'CI: E2E Coverage'
-
-on:
-  workflow_run:
-    workflows: ['CI: Tests E2E']
-    types:
-      - completed
-
-concurrency:
-  group: e2e-coverage-${{ github.event.workflow_run.head_sha }}
-  cancel-in-progress: true
-
-permissions:
-  contents: read
-
-jobs:
-  merge:
-    if: >
-      github.repository == 'Comfy-Org/ComfyUI_frontend' &&
-      github.event.workflow_run.conclusion == 'success'
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v6
-
-      - name: Setup frontend
-        uses: ./.github/actions/setup-frontend
-
-      - name: Download all shard coverage data
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          run_id: ${{ github.event.workflow_run.id }}
-          name: e2e-coverage-shard-.*
-          name_is_regexp: true
-          path: temp/coverage-shards
-          if_no_artifact_found: warn
-
-      - name: Install lcov
-        run: sudo apt-get install -y -qq lcov
-
-      - name: Merge shard coverage into single LCOV
-        run: |
-          mkdir -p coverage/playwright
-          LCOV_FILES=$(find temp/coverage-shards -name 'coverage.lcov' -type f)
-          if [ -z "$LCOV_FILES" ]; then
-            echo "No coverage.lcov files found"
-            touch coverage/playwright/coverage.lcov
-            exit 0
-          fi
-          ADD_ARGS=""
-          for f in $LCOV_FILES; do ADD_ARGS="$ADD_ARGS -a $f"; done
-          lcov $ADD_ARGS -o coverage/playwright/coverage.lcov
-          wc -l coverage/playwright/coverage.lcov
-
-      - name: Validate merged coverage
-        run: |
-          SHARD_COUNT=$(find temp/coverage-shards -name 'coverage.lcov' -type f | wc -l | tr -d ' ')
-          if [ "$SHARD_COUNT" -eq 0 ]; then
-            echo "::error::No shard coverage.lcov files found under temp/coverage-shards"
-            exit 1
-          fi
-
-          MERGED_SF=$(grep -c '^SF:' coverage/playwright/coverage.lcov || echo 0)
-          MERGED_LH=$(awk -F: '/^LH:/{s+=$2}END{print s+0}' coverage/playwright/coverage.lcov)
-          MERGED_LF=$(awk -F: '/^LF:/{s+=$2}END{print s+0}' coverage/playwright/coverage.lcov)
-          echo "### Merged coverage" >> "$GITHUB_STEP_SUMMARY"
-          echo "- **$MERGED_SF** source files" >> "$GITHUB_STEP_SUMMARY"
-          echo "- **$MERGED_LH / $MERGED_LF** lines hit" >> "$GITHUB_STEP_SUMMARY"
-          echo "" >> "$GITHUB_STEP_SUMMARY"
-          echo "| Shard | Files | Lines Hit |" >> "$GITHUB_STEP_SUMMARY"
-          echo "|-------|-------|-----------|" >> "$GITHUB_STEP_SUMMARY"
-          for f in $(find temp/coverage-shards -name 'coverage.lcov' -type f | sort); do
-            SHARD=$(basename "$(dirname "$f")")
-            SHARD_SF=$(grep -c '^SF:' "$f" || echo 0)
-            SHARD_LH=$(awk -F: '/^LH:/{s+=$2}END{print s+0}' "$f")
-            echo "| $SHARD | $SHARD_SF | $SHARD_LH |" >> "$GITHUB_STEP_SUMMARY"
-            if [ "$MERGED_LH" -lt "$SHARD_LH" ]; then
-              echo "::error::Merged LH ($MERGED_LH) < shard LH ($SHARD_LH) in $SHARD — possible data loss"
-            fi
-          done
-
-      - name: Upload merged coverage data
-        if: always()
-        uses: actions/upload-artifact@v6
-        with:
-          name: e2e-coverage
-          path: coverage/playwright/
-          retention-days: 30
-          if-no-files-found: warn
-
-      - name: Upload E2E coverage to Codecov
-        if: always()
-        uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
-        with:
-          files: coverage/playwright/coverage.lcov
-          flags: e2e
-          token: ${{ secrets.CODECOV_TOKEN }}
-          fail_ci_if_error: false
-
-      - name: Generate HTML coverage report
-        run: |
-          if [ ! -s coverage/playwright/coverage.lcov ]; then
-            echo "No coverage data; generating placeholder report."
-            mkdir -p coverage/html
-            echo '<html><body><h1>No E2E coverage data available for this run.</h1></body></html>' > coverage/html/index.html
-            exit 0
-          fi
-          genhtml coverage/playwright/coverage.lcov \
-            -o coverage/html \
-            --title "ComfyUI E2E Coverage" \
-            --no-function-coverage \
-            --precision 1
-
-      - name: Upload HTML report artifact
-        uses: actions/upload-artifact@v6
-        with:
-          name: e2e-coverage-html
-          path: coverage/html/
-          retention-days: 30
-
-  deploy:
-    needs: merge
-    if: github.event.workflow_run.head_branch == 'main'
-    runs-on: ubuntu-latest
-    permissions:
-      pages: write
-      id-token: write
-    environment:
-      name: github-pages
-      url: ${{ steps.deployment.outputs.page_url }}
-    steps:
-      - name: Download HTML report
-        uses: actions/download-artifact@v7
-        with:
-          name: e2e-coverage-html
-          path: coverage/html
-
-      - name: Upload to GitHub Pages
-        uses: actions/upload-pages-artifact@56afc609e74202658d3ffba0e8f6dda462b719fa # v3.0.1
-        with:
-          path: coverage/html
-
-      - name: Deploy to GitHub Pages
-        id: deployment
-        uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4.0.5

.github/workflows/ci-tests-e2e.yaml

@@ -8,7 +8,6 @@ on:
   pull_request:
     branches-ignore: [wip/*, draft/*, temp/*]
     paths-ignore: ['**/*.md']
-  merge_group:
   workflow_dispatch:
 
 concurrency:
@@ -87,7 +86,6 @@ jobs:
         run: pnpm exec playwright test --project=chromium --shard=${{ matrix.shardIndex }}/${{ matrix.shardTotal }} --reporter=blob
         env:
           PLAYWRIGHT_BLOB_OUTPUT_DIR: ./blob-report
-          COLLECT_COVERAGE: 'true'
 
       - name: Upload blob report
         uses: actions/upload-artifact@v6
@@ -97,15 +95,6 @@ jobs:
           path: blob-report/
           retention-days: 1
 
-      - name: Upload shard coverage data
-        if: always()
-        uses: actions/upload-artifact@v6
-        with:
-          name: e2e-coverage-shard-${{ matrix.shardIndex }}
-          path: coverage/playwright/
-          retention-days: 1
-          if-no-files-found: warn
-
   playwright-tests:
     # Ideally, each shard runs test in 6 minutes, but allow up to 15 minutes
     timeout-minutes: 15

.github/workflows/ci-tests-unit.yaml

@@ -8,7 +8,6 @@ on:
   pull_request:
     branches-ignore: [wip/*, draft/*, temp/*]
     paths-ignore: ['**/*.md']
-  merge_group:
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
@@ -27,20 +26,9 @@ jobs:
       - name: Run Vitest tests with coverage
         run: pnpm test:coverage
 
-      - name: Upload unit coverage artifact
-        if: always() && github.event_name == 'push'
-        uses: actions/upload-artifact@v6
-        with:
-          name: unit-coverage
-          path: coverage/lcov.info
-          retention-days: 30
-          if-no-files-found: warn
-
       - name: Upload coverage to Codecov
         if: always()
         uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
         with:
           files: coverage/lcov.info
-          flags: unit
-          token: ${{ secrets.CODECOV_TOKEN }}
           fail_ci_if_error: false

.github/workflows/ci-vercel-website-preview.yaml

@@ -1,90 +0,0 @@
----
-name: 'CI: Vercel Website Preview'
-
-on:
-  pull_request:
-    types: [opened, synchronize, reopened]
-    paths:
-      - 'apps/website/**'
-      - 'packages/design-system/**'
-      - 'packages/tailwind-utils/**'
-  push:
-    branches: [main]
-    paths:
-      - 'apps/website/**'
-      - 'packages/design-system/**'
-      - 'packages/tailwind-utils/**'
-
-env:
-  VERCEL_ORG_ID: ${{ secrets.VERCEL_WEBSITE_ORG_ID }}
-  VERCEL_PROJECT_ID: ${{ secrets.VERCEL_WEBSITE_PROJECT_ID }}
-
-jobs:
-  deploy-preview:
-    if: github.event_name == 'pull_request'
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v6
-
-      - name: Install pnpm
-        uses: pnpm/action-setup@fc06bc1257f339d1d5d8b3a19a8cae5388b55320 # v4.4.0
-
-      - name: Install Vercel CLI
-        run: npm install --global vercel@latest
-
-      - name: Pull Vercel environment information
-        run: vercel pull --yes --environment=preview --token=${{ secrets.VERCEL_WEBSITE_TOKEN }}
-
-      - name: Build project artifacts
-        run: vercel build --token=${{ secrets.VERCEL_WEBSITE_TOKEN }}
-
-      - name: Deploy project artifacts to Vercel
-        id: deploy
-        run: |
-          URL=$(vercel deploy --prebuilt --token=${{ secrets.VERCEL_WEBSITE_TOKEN }})
-          echo "url=$URL" >> "$GITHUB_OUTPUT"
-
-      - name: Add deployment URL to summary
-        run: echo "**Preview:** ${{ steps.deploy.outputs.url }}" >> "$GITHUB_STEP_SUMMARY"
-
-      - name: Save PR metadata
-        run: |
-          mkdir -p temp/vercel-preview
-          echo "${{ steps.deploy.outputs.url }}" > temp/vercel-preview/url.txt
-
-      - name: Upload preview metadata
-        uses: actions/upload-artifact@v6
-        with:
-          name: vercel-preview
-          path: temp/vercel-preview
-
-  deploy-production:
-    if: github.event_name == 'push'
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v6
-
-      - name: Install pnpm
-        uses: pnpm/action-setup@fc06bc1257f339d1d5d8b3a19a8cae5388b55320 # v4.4.0
-
-      - name: Install Vercel CLI
-        run: npm install --global vercel@latest
-
-      - name: Pull Vercel environment information
-        run: vercel pull --yes --environment=production --token=${{ secrets.VERCEL_WEBSITE_TOKEN }}
-
-      - name: Build project artifacts
-        run: vercel build --prod --token=${{ secrets.VERCEL_WEBSITE_TOKEN }}
-
-      - name: Deploy project artifacts to Vercel
-        id: deploy
-        run: |
-          URL=$(vercel deploy --prebuilt --prod --token=${{ secrets.VERCEL_WEBSITE_TOKEN }})
-          echo "url=$URL" >> "$GITHUB_OUTPUT"
-
-      - name: Add deployment URL to summary
-        run: echo "**Production:** ${{ steps.deploy.outputs.url }}" >> "$GITHUB_STEP_SUMMARY"

.github/workflows/ci-website-build.yaml

@@ -1,33 +0,0 @@
-# Description: Build and validate the marketing website (apps/website)
-name: 'CI: Website Build'
-
-on:
-  push:
-    branches: [main, master, website/*]
-    paths:
-      - 'apps/website/**'
-      - 'packages/design-system/**'
-      - 'pnpm-lock.yaml'
-  pull_request:
-    branches-ignore: [wip/*, draft/*, temp/*]
-    paths:
-      - 'apps/website/**'
-      - 'packages/design-system/**'
-      - 'pnpm-lock.yaml'
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: Setup frontend
-        uses: ./.github/actions/setup-frontend
-
-      - name: Build website
-        run: pnpm --filter @comfyorg/website build

.github/workflows/coverage-slack-notify.yaml

@@ -1,149 +0,0 @@
-name: 'Coverage: Slack Notification'
-
-on:
-  workflow_run:
-    workflows: ['CI: Tests Unit']
-    branches: [main]
-    types:
-      - completed
-
-permissions:
-  contents: read
-  actions: read
-  pull-requests: read
-
-jobs:
-  notify:
-    if: >
-      github.repository == 'Comfy-Org/ComfyUI_frontend' &&
-      github.event.workflow_run.conclusion == 'success' &&
-      github.event.workflow_run.event == 'push'
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: Setup frontend
-        uses: ./.github/actions/setup-frontend
-
-      - name: Download current unit coverage
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          run_id: ${{ github.event.workflow_run.id }}
-          name: unit-coverage
-          path: coverage
-
-      - name: Download previous unit coverage baseline
-        continue-on-error: true
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          branch: main
-          workflow: coverage-slack-notify.yaml
-          name: unit-coverage-baseline
-          path: temp/coverage-baseline
-          if_no_artifact_found: warn
-
-      - name: Download latest E2E coverage
-        continue-on-error: true
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          branch: main
-          workflow: ci-tests-e2e-coverage.yaml
-          name: e2e-coverage
-          path: temp/e2e-coverage
-          if_no_artifact_found: warn
-
-      - name: Download previous E2E coverage baseline
-        continue-on-error: true
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          branch: main
-          workflow: coverage-slack-notify.yaml
-          name: e2e-coverage-baseline
-          path: temp/e2e-coverage-baseline
-          if_no_artifact_found: warn
-
-      - name: Resolve merged PR metadata
-        id: pr-meta
-        uses: actions/github-script@v8
-        with:
-          script: |
-            const sha = context.payload.workflow_run.head_sha;
-            const { data: commit } = await github.rest.repos.getCommit({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              ref: sha,
-            });
-            const message = commit.commit.message ?? '';
-            const firstLine = message.split('\n')[0];
-            const match = firstLine.match(/\(#(\d+)\)\s*$/);
-            if (!match) {
-              core.setOutput('skip', 'true');
-              core.info('No PR number found in commit message — skipping.');
-              return;
-            }
-            const prNumber = match[1];
-            const { data: pr } = await github.rest.pulls.get({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              pull_number: Number(prNumber),
-            });
-            core.setOutput('skip', 'false');
-            core.setOutput('number', prNumber);
-            core.setOutput('url', pr.html_url);
-            core.setOutput('author', pr.user.login);
-
-      - name: Generate Slack notification
-        if: steps.pr-meta.outputs.skip != 'true'
-        id: slack-payload
-        env:
-          PR_URL: ${{ steps.pr-meta.outputs.url }}
-          PR_NUMBER: ${{ steps.pr-meta.outputs.number }}
-          PR_AUTHOR: ${{ steps.pr-meta.outputs.author }}
-        run: |
-          PAYLOAD=$(pnpm exec tsx scripts/coverage-slack-notify.ts \
-            --pr-url="$PR_URL" \
-            --pr-number="$PR_NUMBER" \
-            --author="$PR_AUTHOR")
-          if [ -n "$PAYLOAD" ]; then
-            echo "has_payload=true" >> "$GITHUB_OUTPUT"
-            DELIM="SLACK_PAYLOAD_$(date +%s)"
-            echo "payload<<$DELIM" >> "$GITHUB_OUTPUT"
-            printf '%s\n' "$PAYLOAD" >> "$GITHUB_OUTPUT"
-            echo "$DELIM" >> "$GITHUB_OUTPUT"
-          else
-            echo "has_payload=false" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Post to Slack
-        if: steps.slack-payload.outputs.has_payload == 'true'
-        continue-on-error: true
-        env:
-          SLACK_PAYLOAD: ${{ steps.slack-payload.outputs.payload }}
-          SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
-        run: |
-          # Channel: #p-deprecated-frontend-automated-testing
-          BODY=$(echo "$SLACK_PAYLOAD" | jq --arg ch "C0AP09LKRDZ" '. + {channel: $ch}')
-          curl -sf -X POST \
-            -H "Authorization: Bearer $SLACK_BOT_TOKEN" \
-            -H "Content-Type: application/json" \
-            -d "$BODY" \
-            -o /dev/null \
-            https://slack.com/api/chat.postMessage
-
-      - name: Save unit coverage baseline
-        if: always() && hashFiles('coverage/lcov.info') != ''
-        uses: actions/upload-artifact@v6
-        with:
-          name: unit-coverage-baseline
-          path: coverage/lcov.info
-          retention-days: 90
-          if-no-files-found: warn
-
-      - name: Save E2E coverage baseline
-        if: always() && hashFiles('temp/e2e-coverage/coverage.lcov') != ''
-        uses: actions/upload-artifact@v6
-        with:
-          name: e2e-coverage-baseline
-          path: temp/e2e-coverage/coverage.lcov
-          retention-days: 90
-          if-no-files-found: warn

.github/workflows/hub-ci.yaml

@@ -0,0 +1,182 @@
+name: Hub CI
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'apps/hub/**'
+      - '.github/workflows/hub-ci.yaml'
+  pull_request:
+    branches: [main]
+    paths:
+      - 'apps/hub/**'
+      - '.github/workflows/hub-ci.yaml'
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+permissions:
+  contents: read
+  pull-requests: write
+
+jobs:
+  lint:
+    name: Lint & Check
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: apps/hub
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Astro Check
+        run: pnpm run check
+
+      - name: Unit Tests
+        run: pnpm test
+
+      - name: Validate Templates
+        run: pnpm run validate:templates
+        continue-on-error: true
+
+  build:
+    name: Build Hub
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: apps/hub
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Build site
+        run: pnpm run build
+        env:
+          HUB_SKIP_SYNC: 'true'
+          SKIP_AI_GENERATION: 'true'
+
+      - name: Upload build artifact
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: hub-build
+          path: apps/hub/dist
+          retention-days: 1
+
+  seo-audit:
+    name: SEO Audit
+    needs: build
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: apps/hub
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Download build artifact
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
+        with:
+          name: hub-build
+          path: apps/hub/dist
+
+      - name: Validate sitemap
+        id: sitemap
+        continue-on-error: true
+        run: |
+          echo "## Sitemap Validation" >> $GITHUB_STEP_SUMMARY
+          if pnpm run validate:sitemap 2>&1 | tee sitemap-output.txt; then
+            echo "✅ Sitemap validation passed" >> $GITHUB_STEP_SUMMARY
+            echo "status=passed" >> $GITHUB_OUTPUT
+          else
+            echo "❌ Sitemap validation failed" >> $GITHUB_STEP_SUMMARY
+            echo "status=failed" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Run SEO audit
+        id: seo
+        continue-on-error: true
+        run: |
+          echo "## SEO Audit" >> $GITHUB_STEP_SUMMARY
+          if pnpm run audit:seo 2>&1 | tee seo-output.txt; then
+            echo "✅ SEO audit passed" >> $GITHUB_STEP_SUMMARY
+            echo "status=passed" >> $GITHUB_OUTPUT
+          else
+            echo "⚠️ SEO audit found issues" >> $GITHUB_STEP_SUMMARY
+            echo "status=issues" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Check internal links
+        id: links
+        continue-on-error: true
+        run: |
+          echo "## Link Check" >> $GITHUB_STEP_SUMMARY
+          DIST_DIR="dist"
+          if [ ! -d "$DIST_DIR" ]; then
+            echo "⚠️ No build output found at $DIST_DIR" >> $GITHUB_STEP_SUMMARY
+            echo "status=skipped" >> $GITHUB_OUTPUT
+            exit 0
+          fi
+
+          BROKEN_FILE="broken-links.txt"
+          : > "$BROKEN_FILE"
+          BROKEN_COUNT=0
+          TOTAL_COUNT=0
+
+          for htmlfile in $(find "$DIST_DIR" -name '*.html' \
+            -not -path "$DIST_DIR/ar/*" -not -path "$DIST_DIR/es/*" -not -path "$DIST_DIR/fr/*" \
+            -not -path "$DIST_DIR/ja/*" -not -path "$DIST_DIR/ko/*" -not -path "$DIST_DIR/pt-BR/*" \
+            -not -path "$DIST_DIR/ru/*" -not -path "$DIST_DIR/tr/*" -not -path "$DIST_DIR/zh/*" \
+            -not -path "$DIST_DIR/zh-TW/*" | head -500); do
+            hrefs=$(grep -oP 'href="(/[^"]*)"' "$htmlfile" | sed 's/href="//;s/"$//' || true)
+            for href in $hrefs; do
+              TOTAL_COUNT=$((TOTAL_COUNT + 1))
+              clean="${href%%#*}"
+              clean="${clean%%\?*}"
+              if [ -z "$clean" ] || [ "$clean" = "/" ]; then continue; fi
+              found=false
+              if [[ "$clean" =~ \.[a-zA-Z0-9]+$ ]]; then
+                [ -f "${DIST_DIR}${clean}" ] && found=true
+              else
+                base="${clean%/}"
+                [ -f "${DIST_DIR}${base}/index.html" ] && found=true
+                [ "$found" = false ] && [ -f "${DIST_DIR}${base}.html" ] && found=true
+                [ "$found" = false ] && [ -f "${DIST_DIR}${clean}" ] && found=true
+                [ "$found" = false ] && [ -d "${DIST_DIR}${base}" ] && found=true
+              fi
+              if [ "$found" = false ]; then
+                BROKEN_COUNT=$((BROKEN_COUNT + 1))
+                echo "- \`${href}\` (in ${htmlfile#${DIST_DIR}/})" >> "$BROKEN_FILE"
+              fi
+            done
+          done
+
+          if [ "$BROKEN_COUNT" -eq 0 ]; then
+            echo "✅ All internal links valid ($TOTAL_COUNT checked)" >> $GITHUB_STEP_SUMMARY
+            echo "status=passed" >> $GITHUB_OUTPUT
+          else
+            echo "❌ Found $BROKEN_COUNT broken internal links out of $TOTAL_COUNT" >> $GITHUB_STEP_SUMMARY
+            head -n 50 "$BROKEN_FILE" >> $GITHUB_STEP_SUMMARY
+            echo "status=failed" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Upload SEO reports
+        if: always()
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: hub-seo-reports
+          path: |
+            apps/hub/seo-output.txt
+            apps/hub/seo-summary.json
+            apps/hub/broken-links.txt
+          if-no-files-found: ignore

.github/workflows/hub-cron-rebuild.yaml

@@ -0,0 +1,68 @@
+name: Hub Cron Rebuild
+
+on:
+  schedule:
+    # Every 15 minutes — rebuilds the site to pick up new UGC workflows
+    # for search index, sitemap, filter pages, and pre-rendered detail pages.
+    - cron: '*/15 * * * *'
+  workflow_dispatch:
+
+concurrency:
+  group: hub-deploy-prod
+  cancel-in-progress: false
+
+permissions:
+  contents: read
+
+jobs:
+  rebuild:
+    runs-on: ubuntu-latest
+    env:
+      SKIP_AI_GENERATION: 'true'
+      PUBLIC_POSTHOG_KEY: ${{ secrets.HUB_POSTHOG_KEY }}
+      PUBLIC_GA_MEASUREMENT_ID: ${{ secrets.HUB_GA_MEASUREMENT_ID }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Checkout templates data
+        uses: actions/checkout@v6
+        with:
+          repository: Comfy-Org/workflow_templates
+          path: _workflow_templates
+          sparse-checkout: templates
+          token: ${{ secrets.GH_TOKEN }}
+
+      - name: Restore content cache
+        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
+        with:
+          path: apps/hub/.content-cache
+          key: hub-content-cache-cron-prod-${{ hashFiles('_workflow_templates/templates/**', 'apps/hub/src/**') }}
+          restore-keys: |
+            hub-content-cache-cron-prod-
+
+      - name: Sync templates
+        run: pnpm run sync
+        working-directory: apps/hub
+        env:
+          HUB_TEMPLATES_DIR: ${{ github.workspace }}/_workflow_templates/templates
+
+      - name: Build Astro site
+        run: pnpm run build
+        working-directory: apps/hub
+        env:
+          PUBLIC_HUB_API_URL: ${{ secrets.HUB_API_URL_PRODUCTION }}
+          PUBLIC_COMFY_CLOUD_URL: ${{ secrets.COMFY_CLOUD_URL_PRODUCTION }}
+          PUBLIC_APPROVED_ONLY: 'true'
+
+      - name: Deploy to Vercel
+        uses: amondnet/vercel-action@16e87c0a08142b0d0d33b76aeaf20823c381b9b9 # v25.2.0
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }}
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
+          vercel-project-id: ${{ secrets.HUB_VERCEL_PROJECT_ID }}
+          working-directory: apps/hub
+          vercel-args: '--prebuilt --prod'

.github/workflows/hub-deploy.yaml

@@ -0,0 +1,80 @@
+name: Deploy Hub
+
+on:
+  workflow_dispatch:
+    inputs:
+      skip_ai:
+        description: 'Skip AI content generation'
+        type: boolean
+        default: false
+      force_regenerate:
+        description: 'Force regenerate all content (ignore cache)'
+        type: boolean
+        default: false
+      template_filter:
+        description: 'Regenerate specific template only (e.g. "flux_schnell")'
+        type: string
+        default: ''
+
+concurrency:
+  group: hub-deploy-prod
+  cancel-in-progress: false
+
+permissions:
+  contents: read
+
+jobs:
+  build-deploy:
+    runs-on: ubuntu-latest
+    env:
+      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+      PUBLIC_POSTHOG_KEY: ${{ secrets.HUB_POSTHOG_KEY }}
+      PUBLIC_GA_MEASUREMENT_ID: ${{ secrets.HUB_GA_MEASUREMENT_ID }}
+      SKIP_AI_GENERATION: ${{ inputs.skip_ai && 'true' || '' }}
+      FORCE_AI_REGENERATE: ${{ inputs.force_regenerate && 'true' || '' }}
+      AI_TEMPLATE_FILTER: ${{ inputs.template_filter }}
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Checkout templates data
+        uses: actions/checkout@v6
+        with:
+          repository: Comfy-Org/workflow_templates
+          path: _workflow_templates
+          sparse-checkout: templates
+          token: ${{ secrets.GH_TOKEN }}
+
+      - name: Restore content cache
+        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
+        with:
+          path: apps/hub/.content-cache
+          key: hub-content-cache-${{ hashFiles('_workflow_templates/templates/**', 'apps/hub/src/**') }}
+          restore-keys: |
+            hub-content-cache-
+
+      - name: Sync templates
+        run: pnpm run sync
+        working-directory: apps/hub
+        env:
+          HUB_TEMPLATES_DIR: ${{ github.workspace }}/_workflow_templates/templates
+
+      - name: Build Astro site
+        run: pnpm run build
+        working-directory: apps/hub
+        env:
+          PUBLIC_HUB_API_URL: ${{ secrets.HUB_API_URL_PRODUCTION }}
+          PUBLIC_COMFY_CLOUD_URL: ${{ secrets.COMFY_CLOUD_URL_PRODUCTION }}
+          PUBLIC_APPROVED_ONLY: 'true'
+
+      - name: Deploy to Vercel
+        uses: amondnet/vercel-action@16e87c0a08142b0d0d33b76aeaf20823c381b9b9 # v25.2.0
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }}
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
+          vercel-project-id: ${{ secrets.HUB_VERCEL_PROJECT_ID }}
+          working-directory: apps/hub
+          vercel-args: '--prebuilt --prod'

.github/workflows/hub-preview-cron.yaml

@@ -0,0 +1,134 @@
+name: Hub Preview Cron
+
+on:
+  schedule:
+    - cron: '*/15 * * * *'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pull-requests: write
+
+jobs:
+  discover:
+    runs-on: ubuntu-latest
+    outputs:
+      matrix: ${{ steps.targets.outputs.matrix }}
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Build rebuild targets
+        id: targets
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          targets='[]'
+
+          # Main with production API (all workflows, no approved filter)
+          targets=$(echo "$targets" | jq -c '. + [{"ref": "main", "is_main": true, "pr": 0, "api_env": "production"}]')
+
+          # Main with test API
+          targets=$(echo "$targets" | jq -c '. + [{"ref": "main", "is_main": true, "pr": 0, "api_env": "test"}]')
+
+          # Find open PRs with the "preview-cron" label
+          prs=$(gh pr list --label "preview-cron" --state open --json number,headRefName)
+          for row in $(echo "$prs" | jq -c '.[]'); do
+            ref=$(echo "$row" | jq -r '.headRefName')
+            num=$(echo "$row" | jq -r '.number')
+            targets=$(echo "$targets" | jq -c \
+              --arg ref "$ref" --argjson num "$num" \
+              '. + [{"ref": $ref, "is_main": false, "pr": $num, "api_env": "test"}]')
+          done
+
+          echo "matrix={\"include\":$targets}" >> "$GITHUB_OUTPUT"
+          echo "### Rebuild targets" >> "$GITHUB_STEP_SUMMARY"
+          echo "$targets" | jq '.' >> "$GITHUB_STEP_SUMMARY"
+
+  rebuild:
+    needs: discover
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.discover.outputs.matrix) }}
+    concurrency:
+      group: hub-preview-cron-${{ matrix.ref }}-${{ matrix.api_env }}
+      cancel-in-progress: true
+    env:
+      SKIP_AI_GENERATION: 'true'
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          ref: ${{ matrix.ref }}
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Checkout templates data
+        uses: actions/checkout@v6
+        with:
+          repository: Comfy-Org/workflow_templates
+          path: _workflow_templates
+          sparse-checkout: templates
+          token: ${{ secrets.GH_TOKEN }}
+
+      - name: Restore content cache
+        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
+        with:
+          path: apps/hub/.content-cache
+          key: hub-content-cache-cron-${{ matrix.ref }}-${{ matrix.api_env }}-${{ hashFiles('_workflow_templates/templates/**', 'apps/hub/src/**') }}
+          restore-keys: |
+            hub-content-cache-cron-${{ matrix.ref }}-${{ matrix.api_env }}-
+
+      - name: Sync templates
+        run: pnpm run sync:en-only
+        working-directory: apps/hub
+        env:
+          HUB_TEMPLATES_DIR: ${{ github.workspace }}/_workflow_templates/templates
+
+      - name: Build Astro site
+        run: pnpm run build
+        working-directory: apps/hub
+        env:
+          PUBLIC_HUB_API_URL: ${{ matrix.api_env == 'test' && secrets.HUB_API_URL_PREVIEW || secrets.HUB_API_URL_PRODUCTION }}
+          PUBLIC_COMFY_CLOUD_URL: ${{ matrix.api_env == 'test' && secrets.COMFY_CLOUD_URL_PREVIEW || secrets.COMFY_CLOUD_URL_PRODUCTION }}
+
+      - name: Deploy to Vercel
+        id: deploy
+        uses: amondnet/vercel-action@16e87c0a08142b0d0d33b76aeaf20823c381b9b9 # v25.2.0
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }}
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
+          vercel-project-id: ${{ secrets.HUB_VERCEL_PROJECT_ID }}
+          working-directory: apps/hub
+          vercel-args: '--prebuilt'
+
+      - name: Alias main preview (prod API)
+        if: matrix.is_main && matrix.api_env == 'production' && secrets.HUB_PREVIEW_ALIAS
+        env:
+          PREVIEW_URL: ${{ steps.deploy.outputs.preview-url }}
+          ALIAS: ${{ secrets.HUB_PREVIEW_ALIAS }}
+          VERCEL_TOKEN_VAL: ${{ secrets.VERCEL_TOKEN }}
+          VERCEL_SCOPE: ${{ secrets.VERCEL_ORG_ID }}
+        run: |
+          npx vercel alias "$PREVIEW_URL" "$ALIAS" --token="$VERCEL_TOKEN_VAL" --scope="$VERCEL_SCOPE"
+
+      - name: Alias main preview (test API)
+        if: matrix.is_main && matrix.api_env == 'test' && secrets.HUB_PREVIEW_TEST_ALIAS
+        env:
+          PREVIEW_URL: ${{ steps.deploy.outputs.preview-url }}
+          ALIAS: ${{ secrets.HUB_PREVIEW_TEST_ALIAS }}
+          VERCEL_TOKEN_VAL: ${{ secrets.VERCEL_TOKEN }}
+          VERCEL_SCOPE: ${{ secrets.VERCEL_ORG_ID }}
+        run: |
+          npx vercel alias "$PREVIEW_URL" "$ALIAS" --token="$VERCEL_TOKEN_VAL" --scope="$VERCEL_SCOPE"
+
+      - name: Comment preview URL on PR
+        if: matrix.pr > 0
+        uses: marocchino/sticky-pull-request-comment@773744901bac0e8cbb5a0dc842800d45e9b2b405 # v2.9.4
+        with:
+          number: ${{ matrix.pr }}
+          header: hub-preview-cron
+          message: |
+            🔄 **Hub preview cron rebuilt:** ${{ steps.deploy.outputs.preview-url }}
+            _Last rebuild: ${{ github.event.head_commit.timestamp || 'manual trigger' }}_

.github/workflows/hub-preview.yaml

@@ -0,0 +1,74 @@
+name: Hub Preview
+
+on:
+  pull_request:
+    paths:
+      - 'apps/hub/**'
+  workflow_dispatch:
+
+concurrency:
+  group: hub-preview-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+permissions:
+  contents: read
+  pull-requests: write
+
+jobs:
+  preview:
+    runs-on: ubuntu-latest
+    env:
+      SKIP_AI_GENERATION: 'true'
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup frontend
+        uses: ./.github/actions/setup-frontend
+
+      - name: Checkout templates data
+        uses: actions/checkout@v6
+        with:
+          repository: Comfy-Org/workflow_templates
+          path: _workflow_templates
+          sparse-checkout: templates
+          token: ${{ secrets.GH_TOKEN }}
+
+      - name: Restore content cache
+        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
+        with:
+          path: apps/hub/.content-cache
+          key: hub-content-cache-preview-${{ hashFiles('_workflow_templates/templates/**', 'apps/hub/src/**') }}
+          restore-keys: |
+            hub-content-cache-preview-
+
+      - name: Sync templates
+        run: pnpm run sync:en-only
+        working-directory: apps/hub
+        env:
+          HUB_TEMPLATES_DIR: ${{ github.workspace }}/_workflow_templates/templates
+
+      - name: Build Astro site
+        run: pnpm run build
+        working-directory: apps/hub
+        env:
+          PUBLIC_HUB_API_URL: ${{ secrets.HUB_API_URL_PREVIEW }}
+          PUBLIC_COMFY_CLOUD_URL: ${{ secrets.COMFY_CLOUD_URL_PREVIEW }}
+
+      - name: Deploy preview to Vercel
+        id: deploy
+        uses: amondnet/vercel-action@16e87c0a08142b0d0d33b76aeaf20823c381b9b9 # v25.2.0
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }}
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
+          vercel-project-id: ${{ secrets.HUB_VERCEL_PROJECT_ID }}
+          working-directory: apps/hub
+          vercel-args: '--prebuilt'
+
+      - name: Comment preview URL
+        if: github.event_name == 'pull_request'
+        uses: marocchino/sticky-pull-request-comment@773744901bac0e8cbb5a0dc842800d45e9b2b405 # v2.9.4
+        with:
+          header: hub-vercel-preview
+          message: |
+            🚀 **Hub preview deployed:** ${{ steps.deploy.outputs.preview-url }}

.github/workflows/pr-report.yaml

@@ -2,7 +2,7 @@ name: 'PR: Unified Report'
 
 on:
   workflow_run:
-    workflows: ['CI: Size Data', 'CI: Performance Report', 'CI: E2E Coverage']
+    workflows: ['CI: Size Data', 'CI: Performance Report']
     types:
       - completed
 
@@ -67,23 +67,73 @@ jobs:
             core.setOutput('base', livePr.base.ref);
             core.setOutput('head-sha', livePr.head.sha);
 
-      - name: Find size workflow run
+      - name: Find size workflow run for this commit
         if: steps.pr-meta.outputs.skip != 'true'
         id: find-size
-        uses: ./.github/actions/find-workflow-run
+        uses: actions/github-script@v8
         with:
-          workflow-id: ci-size-data.yaml
-          head-sha: ${{ steps.pr-meta.outputs.head-sha }}
-          token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const headSha = '${{ steps.pr-meta.outputs.head-sha }}';
+            const { data: runs } = await github.rest.actions.listWorkflowRuns({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              workflow_id: 'ci-size-data.yaml',
+              head_sha: headSha,
+              per_page: 1,
+            });
 
-      - name: Find perf workflow run
+            const run = runs.workflow_runs[0];
+            if (!run) {
+              core.setOutput('status', 'pending');
+              return;
+            }
+
+            if (run.status !== 'completed') {
+              core.setOutput('status', 'pending');
+              return;
+            }
+
+            if (run.conclusion !== 'success') {
+              core.setOutput('status', 'failed');
+              return;
+            }
+
+            core.setOutput('status', 'ready');
+            core.setOutput('run-id', String(run.id));
+
+      - name: Find perf workflow run for this commit
         if: steps.pr-meta.outputs.skip != 'true'
         id: find-perf
-        uses: ./.github/actions/find-workflow-run
+        uses: actions/github-script@v8
         with:
-          workflow-id: ci-perf-report.yaml
-          head-sha: ${{ steps.pr-meta.outputs.head-sha }}
-          token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const headSha = '${{ steps.pr-meta.outputs.head-sha }}';
+            const { data: runs } = await github.rest.actions.listWorkflowRuns({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              workflow_id: 'ci-perf-report.yaml',
+              head_sha: headSha,
+              per_page: 1,
+            });
+
+            const run = runs.workflow_runs[0];
+            if (!run) {
+              core.setOutput('status', 'pending');
+              return;
+            }
+
+            if (run.status !== 'completed') {
+              core.setOutput('status', 'pending');
+              return;
+            }
+
+            if (run.conclusion !== 'success') {
+              core.setOutput('status', 'failed');
+              return;
+            }
+
+            core.setOutput('status', 'ready');
+            core.setOutput('run-id', String(run.id));
 
       - name: Download size data (current)
         if: steps.pr-meta.outputs.skip != 'true' && steps.find-size.outputs.status == 'ready'
@@ -104,25 +154,6 @@ jobs:
           path: temp/size-prev
           if_no_artifact_found: warn
 
-      - name: Find coverage workflow run
-        if: steps.pr-meta.outputs.skip != 'true'
-        id: find-coverage
-        uses: ./.github/actions/find-workflow-run
-        with:
-          workflow-id: ci-tests-e2e-coverage.yaml
-          head-sha: ${{ steps.pr-meta.outputs.head-sha }}
-          not-found-status: skip
-          token: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Download coverage data
-        if: steps.pr-meta.outputs.skip != 'true' && steps.find-coverage.outputs.status == 'ready'
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          name: e2e-coverage
-          run_id: ${{ steps.find-coverage.outputs.run-id }}
-          path: temp/coverage
-          if_no_artifact_found: warn
-
       - name: Download perf metrics (current)
         if: steps.pr-meta.outputs.skip != 'true' && steps.find-perf.outputs.status == 'ready'
         uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
@@ -158,10 +189,9 @@ jobs:
       - name: Generate unified report
         if: steps.pr-meta.outputs.skip != 'true'
         run: >
-          pnpm exec tsx scripts/unified-report.ts
+          node scripts/unified-report.js
           --size-status=${{ steps.find-size.outputs.status }}
           --perf-status=${{ steps.find-perf.outputs.status }}
-          --coverage-status=${{ steps.find-coverage.outputs.status }}
           > pr-report.md
 
       - name: Remove legacy separate comments

.github/workflows/pr-vercel-website-preview.yaml

@@ -1,74 +0,0 @@
----
-name: 'PR: Vercel Website Preview'
-
-on:
-  workflow_run:
-    workflows: ['CI: Vercel Website Preview']
-    types:
-      - completed
-
-permissions:
-  contents: read
-  pull-requests: write
-  actions: read
-
-jobs:
-  comment:
-    runs-on: ubuntu-latest
-    if: >
-      github.repository == 'Comfy-Org/ComfyUI_frontend' &&
-      github.event.workflow_run.event == 'pull_request' &&
-      github.event.workflow_run.conclusion == 'success'
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: Download preview metadata
-        uses: dawidd6/action-download-artifact@0bd50d53a6d7fb5cb921e607957e9cc12b4ce392 # v12
-        with:
-          name: vercel-preview
-          run_id: ${{ github.event.workflow_run.id }}
-          path: temp/vercel-preview
-
-      - name: Resolve PR number from workflow_run context
-        id: pr-meta
-        uses: actions/github-script@v8
-        with:
-          script: |
-            let pr = context.payload.workflow_run.pull_requests?.[0];
-            if (!pr) {
-              const { data: prs } = await github.rest.repos.listPullRequestsAssociatedWithCommit({
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                commit_sha: context.payload.workflow_run.head_sha,
-              });
-              pr = prs.find(p => p.state === 'open');
-            }
-
-            if (!pr) {
-              core.info('No open PR found for this workflow run — skipping.');
-              core.setOutput('skip', 'true');
-              return;
-            }
-
-            core.setOutput('skip', 'false');
-            core.setOutput('number', String(pr.number));
-
-      - name: Read preview URL
-        if: steps.pr-meta.outputs.skip != 'true'
-        id: meta
-        run: |
-          echo "url=$(cat temp/vercel-preview/url.txt)" >> "$GITHUB_OUTPUT"
-
-      - name: Write report
-        if: steps.pr-meta.outputs.skip != 'true'
-        run: |
-          echo "**Website Preview:** ${{ steps.meta.outputs.url }}" > preview-report.md
-
-      - name: Post PR comment
-        if: steps.pr-meta.outputs.skip != 'true'
-        uses: ./.github/actions/post-pr-report-comment
-        with:
-          pr-number: ${{ steps.pr-meta.outputs.number }}
-          report-file: ./preview-report.md
-          comment-marker: '<!-- VERCEL_WEBSITE_PREVIEW -->'
-          token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/release-biweekly-comfyui.yaml

@@ -1,23 +1,14 @@
-# Release workflow for ComfyUI frontend: version bump → PyPI publish → ComfyUI PR.
-# Runs on a bi-weekly schedule for minor releases, or manually for patch/hotfix releases.
-name: 'Release: ComfyUI'
+# Automated bi-weekly workflow to bump ComfyUI frontend RC releases
+name: 'Release: Bi-weekly ComfyUI'
 
 on:
-  # Bi-weekly schedule: Monday at 20:00 UTC
+  # Schedule for Monday at 12:00 PM PST (20:00 UTC)
   schedule:
     - cron: '0 20 * * 1'
 
-  # Manual trigger for both on-demand minor and patch/hotfix releases
+  # Allow manual triggering (bypasses bi-weekly check)
   workflow_dispatch:
     inputs:
-      release_type:
-        description: 'minor = next minor version (bi-weekly cadence), patch = hotfix for current production version'
-        required: true
-        default: 'minor'
-        type: choice
-        options:
-          - minor
-          - patch
       comfyui_fork:
         description: 'ComfyUI fork to use for PR (e.g., Comfy-Org/ComfyUI)'
         required: false
@@ -50,11 +41,10 @@ jobs:
 
       - name: Summary
         run: |
-          echo "## Release Check" >> $GITHUB_STEP_SUMMARY
+          echo "## Bi-weekly Check" >> $GITHUB_STEP_SUMMARY
           echo "" >> $GITHUB_STEP_SUMMARY
           echo "- Is release week: ${{ steps.check.outputs.is_release_week }}" >> $GITHUB_STEP_SUMMARY
           echo "- Manual trigger: ${{ github.event_name == 'workflow_dispatch' }}" >> $GITHUB_STEP_SUMMARY
-          echo "- Release type: ${{ inputs.release_type || 'minor (scheduled)' }}" >> $GITHUB_STEP_SUMMARY
 
   resolve-version:
     needs: check-release-week
@@ -86,8 +76,6 @@ jobs:
 
       - name: Install pnpm
         uses: pnpm/action-setup@fc06bc1257f339d1d5d8b3a19a8cae5388b55320 # v4.4.0
-        with:
-          package_json_file: frontend/package.json
 
       - name: Setup Node.js
         uses: actions/setup-node@v6
@@ -101,8 +89,6 @@ jobs:
       - name: Resolve release information
         id: resolve
         working-directory: frontend
-        env:
-          RELEASE_TYPE: ${{ inputs.release_type || 'minor' }}
         run: |
           set -euo pipefail
 

.github/workflows/release-version-bump.yaml

@@ -142,20 +142,6 @@ jobs:
           fi
           echo "✅ Branch '$BRANCH' exists"
 
-      - name: Ensure packageManager field exists
-        run: |
-          if ! grep -q '"packageManager"' package.json; then
-            # Old branches (e.g. core/1.42) predate the packageManager field.
-            # Inject it so pnpm/action-setup can resolve the version.
-            node -e "
-              const fs = require('fs');
-              const pkg = JSON.parse(fs.readFileSync('package.json','utf8'));
-              pkg.packageManager = 'pnpm@10.33.0';
-              fs.writeFileSync('package.json', JSON.stringify(pkg, null, 2) + '\n');
-            "
-            echo "Injected packageManager into package.json for legacy branch"
-          fi
-
       - name: Install pnpm
         uses: pnpm/action-setup@fc06bc1257f339d1d5d8b3a19a8cae5388b55320 # v4.4.0
 

.oxlintrc.json

@@ -12,6 +12,8 @@
     "playwright-report/*",
     "src/extensions/core/*",
     "src/scripts/*",
+    "apps/hub/scripts/**/*",
+    "apps/hub/src/scripts/*",
     "src/types/generatedManagerTypes.ts",
     "src/types/vue-shim.d.ts",
     "test-results/*",
@@ -64,7 +66,6 @@
         ]
       }
     ],
-    "no-unsafe-optional-chaining": "error",
     "no-self-assign": "allow",
     "no-unused-expressions": "off",
     "no-unused-private-class-members": "off",
@@ -84,7 +85,6 @@
     "typescript/no-unsafe-declaration-merging": "off",
     "typescript/no-unused-vars": "off",
     "unicorn/no-empty-file": "off",
-    "vitest/require-mock-type-parameters": "off",
     "unicorn/no-new-array": "off",
     "unicorn/no-single-promise-in-promise-methods": "off",
     "unicorn/no-useless-fallback-in-spread": "off",
@@ -106,7 +106,8 @@
         "allowInterfaces": "always"
       }
     ],
-    "vue/no-import-compiler-macros": "error"
+    "vue/no-import-compiler-macros": "error",
+    "vue/no-dupe-keys": "error"
   },
   "overrides": [
     {
@@ -117,60 +118,13 @@
     },
     {
       "files": ["browser_tests/**/*.ts"],
-      "jsPlugins": ["eslint-plugin-playwright"],
       "rules": {
         "typescript/no-explicit-any": "error",
         "no-async-promise-executor": "error",
         "no-control-regex": "error",
         "no-useless-rename": "error",
         "no-unused-private-class-members": "error",
-        "unicorn/no-empty-file": "error",
-        "playwright/consistent-spacing-between-blocks": "error",
-        "playwright/expect-expect": [
-          "error",
-          {
-            "assertFunctionNames": [
-              "recordMeasurement",
-              "logMeasurement",
-              "builderSaveAs"
-            ],
-            "assertFunctionPatterns": [
-              "^expect",
-              "^assert",
-              "^verify",
-              "^searchAndExpect",
-              "waitForOpen",
-              "waitForClosed",
-              "waitForRequest"
-            ]
-          }
-        ],
-        "playwright/max-nested-describe": "error",
-        "playwright/no-duplicate-hooks": "error",
-        "playwright/no-element-handle": "error",
-        "playwright/no-eval": "error",
-        "playwright/no-focused-test": "error",
-        "playwright/no-force-option": "error",
-        "playwright/no-networkidle": "error",
-        "playwright/no-page-pause": "error",
-        "playwright/no-skipped-test": "error",
-        "playwright/no-unsafe-references": "error",
-        "playwright/no-unused-locators": "error",
-        "playwright/no-useless-await": "error",
-        "playwright/no-useless-not": "error",
-        "playwright/no-wait-for-navigation": "error",
-        "playwright/no-wait-for-selector": "error",
-        "playwright/no-wait-for-timeout": "error",
-        "playwright/prefer-hooks-on-top": "error",
-        "playwright/prefer-locator": "error",
-        "playwright/prefer-to-have-count": "error",
-        "playwright/prefer-to-have-length": "error",
-        "playwright/prefer-web-first-assertions": "error",
-        "playwright/prefer-native-locators": "error",
-        "playwright/require-to-pass-timeout": "error",
-        "playwright/valid-expect": "error",
-        "playwright/valid-expect-in-promise": "error",
-        "playwright/valid-title": "error"
+        "unicorn/no-empty-file": "error"
       }
     }
   ]

AGENTS.md

@@ -44,7 +44,6 @@ This project uses **pnpm**. Always prefer scripts defined in `package.json` (e.g
 ## Build, Test, and Development Commands
 
 - `pnpm dev`: Start Vite dev server.
-- `pnpm dev:cloud`: Dev server connected to cloud backend (testcloud.comfy.org)
 - `pnpm dev:electron`: Dev server with Electron API mocks
 - `pnpm build`: Type-check then production build to `dist/`
 - `pnpm preview`: Preview the production build locally
@@ -180,12 +179,6 @@ This project uses **pnpm**. Always prefer scripts defined in `package.json` (e.g
 24. Do not use function expressions if it's possible to use function declarations instead
 25. Watch out for [Code Smells](https://wiki.c2.com/?CodeSmell) and refactor to avoid them
 
-## Design Standards
-
-Before implementing any user-facing feature, consult the [Comfy Design Standards](https://www.figma.com/design/QreIv5htUaSICNuO2VBHw0/Comfy-Design-Standards) Figma file. Use the Figma MCP to fetch it live — the file is the single source of truth and may be updated by designers at any time.
-
-See `docs/guidance/design-standards.md` for Figma file keys, section node IDs, and component references.
-
 ## Testing Guidelines
 
 See @docs/testing/\*.md for detailed patterns.
@@ -233,7 +226,6 @@ See @docs/testing/\*.md for detailed patterns.
 - shadcn/vue: <https://www.shadcn-vue.com/>
 - Reka UI: <https://reka-ui.com/>
 - PrimeVue: <https://primevue.org>
-- Comfy Design Standards: <https://www.figma.com/design/QreIv5htUaSICNuO2VBHw0/Comfy-Design-Standards>
 - ComfyUI: <https://docs.comfy.org>
 - Electron: <https://www.electronjs.org/docs/latest/>
 - Wiki: <https://deepwiki.com/Comfy-Org/ComfyUI_frontend/1-overview>
@@ -319,9 +311,6 @@ When referencing Comfy-Org repos:
   - Find existing `!important` classes that are interfering with the styling and propose corrections of those instead.
 - NEVER use arbitrary percentage values like `w-[80%]` when a Tailwind fraction utility exists
   - Use `w-4/5` instead of `w-[80%]`, `w-1/2` instead of `w-[50%]`, etc.
-- NEVER use font-size classes (`text-xs`, `text-sm`, etc.) to size `icon-[...]` (iconify) icons
-  - Iconify icons size via `width`/`height: 1.2em`, so font-size produces unpredictable results
-  - Use `size-*` classes for explicit sizing, or set font-size on the **parent** container and let `1.2em` scale naturally
 
 ## Agent-only rules
 

CONTRIBUTING.md

@@ -62,37 +62,6 @@ python main.py --port 8188 --cpu
 - Run `pnpm dev:electron` to start the dev server with electron API mocked
 - Run `pnpm dev:cloud` to start the dev server against the cloud backend (instead of local ComfyUI server)
 
-#### Testing with Cloud & Staging Environments
-
-Some features — particularly **partner/API nodes** (e.g. BFL, OpenAI, Stability AI) — require a cloud backend for authentication and billing. Running these against a local ComfyUI instance will result in permission errors or logged-out states. There are two ways to connect to a cloud/staging backend:
-
-**Option 1: Frontend — `pnpm dev:cloud`**
-
-The simplest approach. This proxies all API requests to the test cloud environment:
-
-```bash
-pnpm dev:cloud
-```
-
-This sets `DEV_SERVER_COMFYUI_URL` to `https://testcloud.comfy.org/` automatically. You can also set this variable manually in your `.env` file to target a different environment:
-
-```bash
-# .env
-DEV_SERVER_COMFYUI_URL=https://stagingcloud.comfy.org/
-```
-
-Any `*.comfy.org` URL automatically enables cloud mode, which includes the GCS media proxy needed for viewing generated images and videos. See [.env_example](.env_example) for all available cloud URLs.
-
-**Option 2: Backend — `--comfy-api-base`**
-
-Alternatively, launch the ComfyUI backend pointed at the staging API:
-
-```bash
-python main.py --comfy-api-base https://stagingapi.comfy.org --verbose
-```
-
-Then run `pnpm dev` as usual. This keeps the frontend in local mode but routes backend API calls through staging.
-
 #### Access dev server on touch devices
 
 Enable remote access to the dev server by setting `VITE_REMOTE_DEV` in `.env` to `true`.

apps/desktop-ui/package.json

@@ -5,7 +5,6 @@
   "scripts": {
     "lint": "nx run @comfyorg/desktop-ui:lint",
     "typecheck": "nx run @comfyorg/desktop-ui:typecheck",
-    "test:unit": "vitest run --config vitest.config.mts",
     "storybook": "storybook dev -p 6007",
     "build-storybook": "storybook build -o dist/storybook"
   },

apps/desktop-ui/src/components/common/StartupDisplay.test.ts

@@ -1,97 +0,0 @@
-import { render, screen } from '@testing-library/vue'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it } from 'vitest'
-import { createI18n } from 'vue-i18n'
-
-import StartupDisplay from '@/components/common/StartupDisplay.vue'
-
-const i18n = createI18n({
-  legacy: false,
-  locale: 'en',
-  messages: { en: { g: { logoAlt: 'ComfyUI' } } }
-})
-
-const ProgressBarStub = {
-  props: ['mode', 'value', 'showValue'],
-  template:
-    '<div data-testid="progress-bar" :data-mode="mode" :data-value="value" />'
-}
-
-function renderDisplay(
-  props: {
-    progressPercentage?: number
-    title?: string
-    statusText?: string
-    hideProgress?: boolean
-    fullScreen?: boolean
-  } = {}
-) {
-  return render(StartupDisplay, {
-    props,
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }], i18n],
-      stubs: { ProgressBar: ProgressBarStub }
-    }
-  })
-}
-
-describe('StartupDisplay', () => {
-  describe('progressMode', () => {
-    it('renders indeterminate mode when progressPercentage is undefined', () => {
-      renderDisplay()
-      expect(screen.getByTestId('progress-bar').dataset.mode).toBe(
-        'indeterminate'
-      )
-    })
-
-    it('renders determinate mode when progressPercentage is provided', () => {
-      renderDisplay({ progressPercentage: 50 })
-      expect(screen.getByTestId('progress-bar').dataset.mode).toBe(
-        'determinate'
-      )
-    })
-
-    it('passes progressPercentage as value to the progress bar', () => {
-      renderDisplay({ progressPercentage: 75 })
-      expect(screen.getByTestId('progress-bar').dataset.value).toBe('75')
-    })
-  })
-
-  describe('hideProgress', () => {
-    it('hides the progress bar when hideProgress is true', () => {
-      renderDisplay({ hideProgress: true })
-      expect(screen.queryByTestId('progress-bar')).toBeNull()
-    })
-
-    it('shows the progress bar by default', () => {
-      renderDisplay()
-      expect(screen.getByTestId('progress-bar')).toBeDefined()
-    })
-  })
-
-  describe('title', () => {
-    it('renders the title text when provided', () => {
-      renderDisplay({ title: 'Loading...' })
-      expect(screen.getByText('Loading...')).toBeDefined()
-    })
-
-    it('does not render h1 when title is not provided', () => {
-      renderDisplay()
-      expect(screen.queryByRole('heading', { level: 1 })).toBeNull()
-    })
-  })
-
-  describe('statusText', () => {
-    it('renders statusText with data-testid attribute', () => {
-      renderDisplay({ statusText: 'Starting server' })
-      expect(screen.getByTestId('startup-status-text').textContent).toContain(
-        'Starting server'
-      )
-    })
-
-    it('does not render statusText element when not provided', () => {
-      renderDisplay()
-      expect(screen.queryByTestId('startup-status-text')).toBeNull()
-    })
-  })
-})

apps/desktop-ui/src/components/common/UrlInput.test.ts

@@ -1,208 +0,0 @@
-import { render, screen, waitFor } from '@testing-library/vue'
-import userEvent from '@testing-library/user-event'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi, beforeEach } from 'vitest'
-
-vi.mock('@comfyorg/shared-frontend-utils/networkUtil', () => ({
-  checkUrlReachable: vi.fn()
-}))
-
-import { checkUrlReachable } from '@comfyorg/shared-frontend-utils/networkUtil'
-import UrlInput from '@/components/common/UrlInput.vue'
-import { ValidationState } from '@/utils/validationUtil'
-
-const InputTextStub = {
-  props: ['modelValue', 'invalid'],
-  emits: ['update:modelValue', 'blur'],
-  template: `<input
-    data-testid="url-input"
-    :value="modelValue"
-    :data-invalid="invalid"
-    @input="$emit('update:modelValue', $event.target.value)"
-    @blur="$emit('blur')"
-  />`
-}
-
-const InputIconStub = {
-  template: '<span data-testid="input-icon" />'
-}
-
-const IconFieldStub = {
-  template: '<div><slot /></div>'
-}
-
-function renderUrlInput(
-  modelValue = '',
-  validateUrlFn?: (url: string) => Promise<boolean>
-) {
-  return render(UrlInput, {
-    props: { modelValue, ...(validateUrlFn ? { validateUrlFn } : {}) },
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }]],
-      stubs: {
-        InputText: InputTextStub,
-        InputIcon: InputIconStub,
-        IconField: IconFieldStub
-      }
-    }
-  })
-}
-
-describe('UrlInput', () => {
-  beforeEach(() => {
-    vi.resetAllMocks()
-  })
-
-  describe('initial validation on mount', () => {
-    it('stays IDLE when modelValue is empty on mount', async () => {
-      renderUrlInput('')
-      await waitFor(() => {
-        expect(screen.getByTestId('url-input').dataset.invalid).toBe('false')
-      })
-    })
-
-    it('sets VALID state when modelValue is a reachable URL on mount', async () => {
-      vi.mocked(checkUrlReachable).mockResolvedValue(true)
-      renderUrlInput('https://example.com')
-      await waitFor(() => {
-        expect(screen.getByTestId('url-input').dataset.invalid).toBe('false')
-      })
-    })
-
-    it('sets INVALID state when URL is not reachable on mount', async () => {
-      vi.mocked(checkUrlReachable).mockResolvedValue(false)
-      renderUrlInput('https://unreachable.example')
-      await waitFor(() => {
-        expect(screen.getByTestId('url-input').dataset.invalid).toBe('true')
-      })
-    })
-  })
-
-  describe('input handling', () => {
-    it('resets validation state to IDLE on user input', async () => {
-      vi.mocked(checkUrlReachable).mockResolvedValue(false)
-      renderUrlInput('https://bad.example')
-
-      await waitFor(() => {
-        expect(screen.getByTestId('url-input').dataset.invalid).toBe('true')
-      })
-
-      const user = userEvent.setup()
-      await user.type(screen.getByTestId('url-input'), 'x')
-      expect(screen.getByTestId('url-input').dataset.invalid).toBe('false')
-    })
-
-    it('strips whitespace from typed input', async () => {
-      const onUpdate = vi.fn()
-      render(UrlInput, {
-        props: {
-          modelValue: '',
-          'onUpdate:modelValue': onUpdate
-        },
-        global: {
-          plugins: [[PrimeVue, { unstyled: true }]],
-          stubs: {
-            InputText: InputTextStub,
-            InputIcon: InputIconStub,
-            IconField: IconFieldStub
-          }
-        }
-      })
-
-      const user = userEvent.setup()
-      const input = screen.getByTestId('url-input')
-      await user.type(input, 'htt ps')
-      expect((input as HTMLInputElement).value).not.toContain(' ')
-    })
-  })
-
-  describe('blur handling', () => {
-    it('emits update:modelValue on blur', async () => {
-      const onUpdate = vi.fn()
-      render(UrlInput, {
-        props: {
-          modelValue: 'https://example.com',
-          'onUpdate:modelValue': onUpdate
-        },
-        global: {
-          plugins: [[PrimeVue, { unstyled: true }]],
-          stubs: {
-            InputText: InputTextStub,
-            InputIcon: InputIconStub,
-            IconField: IconFieldStub
-          }
-        }
-      })
-
-      const user = userEvent.setup()
-      await user.click(screen.getByTestId('url-input'))
-      await user.tab()
-
-      expect(onUpdate).toHaveBeenCalled()
-    })
-
-    it('normalizes URL on blur', async () => {
-      const onUpdate = vi.fn()
-      render(UrlInput, {
-        props: {
-          modelValue: 'https://example.com',
-          'onUpdate:modelValue': onUpdate
-        },
-        global: {
-          plugins: [[PrimeVue, { unstyled: true }]],
-          stubs: {
-            InputText: InputTextStub,
-            InputIcon: InputIconStub,
-            IconField: IconFieldStub
-          }
-        }
-      })
-
-      const user = userEvent.setup()
-      await user.click(screen.getByTestId('url-input'))
-      await user.tab()
-
-      const emittedUrl = onUpdate.mock.calls[0]?.[0]
-      expect(emittedUrl).toBe('https://example.com/')
-    })
-  })
-
-  describe('custom validateUrlFn', () => {
-    it('uses custom validateUrlFn when provided', async () => {
-      const customValidator = vi.fn().mockResolvedValue(true)
-      renderUrlInput('https://custom.example', customValidator)
-
-      await waitFor(() => {
-        expect(customValidator).toHaveBeenCalledWith('https://custom.example')
-      })
-
-      expect(checkUrlReachable).not.toHaveBeenCalled()
-    })
-  })
-
-  describe('state-change emission', () => {
-    it('emits state-change when validation state changes', async () => {
-      const onStateChange = vi.fn()
-      vi.mocked(checkUrlReachable).mockResolvedValue(true)
-
-      render(UrlInput, {
-        props: {
-          modelValue: 'https://example.com',
-          'onState-change': onStateChange
-        },
-        global: {
-          plugins: [[PrimeVue, { unstyled: true }]],
-          stubs: {
-            InputText: InputTextStub,
-            InputIcon: InputIconStub,
-            IconField: IconFieldStub
-          }
-        }
-      })
-
-      await waitFor(() => {
-        expect(onStateChange).toHaveBeenCalledWith(ValidationState.VALID)
-      })
-    })
-  })
-})

apps/desktop-ui/src/components/install/GpuPicker.test.ts

@@ -1,112 +0,0 @@
-import { render, screen } from '@testing-library/vue'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi } from 'vitest'
-import { createI18n } from 'vue-i18n'
-
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => ({
-    getPlatform: vi.fn().mockReturnValue('win32')
-  }))
-}))
-
-vi.mock('@/i18n', () => ({
-  t: (key: string) => key,
-  te: () => false,
-  st: (_key: string, fallback: string) => fallback
-}))
-
-import type { TorchDeviceType } from '@comfyorg/comfyui-electron-types'
-import GpuPicker from '@/components/install/GpuPicker.vue'
-
-const i18n = createI18n({
-  legacy: false,
-  locale: 'en',
-  missingWarn: false,
-  fallbackWarn: false,
-  messages: { en: {} }
-})
-
-const HardwareOptionStub = {
-  props: ['imagePath', 'placeholderText', 'subtitle', 'selected'],
-  emits: ['click'],
-  template:
-    '<button :data-testid="placeholderText" :data-selected="selected" @click="$emit(\'click\')" >{{ placeholderText }}</button>'
-}
-
-function renderPicker(device: TorchDeviceType | null = null) {
-  return render(GpuPicker, {
-    props: { device },
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }], i18n],
-      stubs: {
-        HardwareOption: HardwareOptionStub,
-        Tag: {
-          props: ['value'],
-          template: '<span data-testid="recommended-tag">{{ value }}</span>'
-        }
-      }
-    }
-  })
-}
-
-describe('GpuPicker', () => {
-  describe('recommended badge', () => {
-    it('shows recommended badge for nvidia', () => {
-      renderPicker('nvidia')
-      expect(screen.getByTestId('recommended-tag')).toBeVisible()
-    })
-
-    it('shows recommended badge for amd', () => {
-      renderPicker('amd')
-      expect(screen.getByTestId('recommended-tag')).toBeVisible()
-    })
-
-    it('does not show recommended badge for cpu', () => {
-      renderPicker('cpu')
-      expect(screen.getByTestId('recommended-tag')).not.toBeVisible()
-    })
-
-    it('does not show recommended badge for unsupported', () => {
-      renderPicker('unsupported')
-      expect(screen.getByTestId('recommended-tag')).not.toBeVisible()
-    })
-
-    it('does not show recommended badge when no device is selected', () => {
-      renderPicker(null)
-      expect(screen.getByTestId('recommended-tag')).not.toBeVisible()
-    })
-  })
-
-  describe('selection state', () => {
-    it('marks nvidia as selected when device is nvidia', () => {
-      renderPicker('nvidia')
-      expect(screen.getByTestId('NVIDIA').dataset.selected).toBe('true')
-    })
-
-    it('marks cpu as selected when device is cpu', () => {
-      renderPicker('cpu')
-      expect(screen.getByTestId('CPU').dataset.selected).toBe('true')
-    })
-
-    it('marks unsupported as selected when device is unsupported', () => {
-      renderPicker('unsupported')
-      expect(screen.getByTestId('Manual Install').dataset.selected).toBe('true')
-    })
-
-    it('no option is selected when device is null', () => {
-      renderPicker(null)
-      expect(screen.getByTestId('CPU').dataset.selected).toBe('false')
-      expect(screen.getByTestId('NVIDIA').dataset.selected).toBe('false')
-    })
-  })
-
-  describe('gpu options on non-darwin platform', () => {
-    it('shows NVIDIA, AMD, CPU, and Manual Install options', () => {
-      renderPicker(null)
-      expect(screen.getByTestId('NVIDIA')).toBeDefined()
-      expect(screen.getByTestId('AMD')).toBeDefined()
-      expect(screen.getByTestId('CPU')).toBeDefined()
-      expect(screen.getByTestId('Manual Install')).toBeDefined()
-    })
-  })
-})

apps/desktop-ui/src/components/install/MigrationPicker.test.ts

@@ -1,223 +0,0 @@
-import { render, screen, waitFor } from '@testing-library/vue'
-import userEvent from '@testing-library/user-event'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi, beforeEach } from 'vitest'
-import { createI18n } from 'vue-i18n'
-
-const mockValidateComfyUISource = vi.fn()
-const mockShowDirectoryPicker = vi.fn()
-
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => ({
-    validateComfyUISource: mockValidateComfyUISource,
-    showDirectoryPicker: mockShowDirectoryPicker
-  }))
-}))
-
-import MigrationPicker from '@/components/install/MigrationPicker.vue'
-
-const i18n = createI18n({
-  legacy: false,
-  locale: 'en',
-  messages: {
-    en: {
-      install: {
-        migrationSourcePathDescription: 'Source path description',
-        migrationOptional: 'Migration is optional',
-        selectItemsToMigrate: 'Select items to migrate',
-        pathValidationFailed: 'Validation failed',
-        failedToSelectDirectory: 'Failed to select directory',
-        locationPicker: {
-          migrationPathPlaceholder: 'Enter path'
-        }
-      }
-    }
-  }
-})
-
-const InputTextStub = {
-  props: ['modelValue', 'invalid'],
-  emits: ['update:modelValue'],
-  template: `<input
-    data-testid="source-input"
-    :value="modelValue"
-    @input="$emit('update:modelValue', $event.target.value)"
-  />`
-}
-
-const CheckboxStub = {
-  props: ['modelValue', 'inputId', 'binary'],
-  emits: ['update:modelValue', 'click'],
-  template: `<input
-    type="checkbox"
-    :data-testid="'checkbox-' + inputId"
-    :checked="modelValue"
-    @change="$emit('update:modelValue', $event.target.checked)"
-    @click.stop="$emit('click')"
-  />`
-}
-
-function renderPicker(sourcePath = '', migrationItemIds: string[] = []) {
-  return render(MigrationPicker, {
-    props: { sourcePath, migrationItemIds },
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }], i18n],
-      stubs: {
-        InputText: InputTextStub,
-        Checkbox: CheckboxStub,
-        Button: { template: '<button data-testid="browse-btn" />' },
-        Message: {
-          props: ['severity'],
-          template: '<div data-testid="error-msg"><slot /></div>'
-        }
-      }
-    }
-  })
-}
-
-describe('MigrationPicker', () => {
-  beforeEach(() => {
-    vi.resetAllMocks()
-  })
-
-  describe('isValidSource', () => {
-    it('hides migration options when source path is empty', () => {
-      renderPicker('')
-      expect(screen.queryByText('Select items to migrate')).toBeNull()
-    })
-
-    it('shows migration options when source path is valid', async () => {
-      mockValidateComfyUISource.mockResolvedValue({ isValid: true })
-      const { rerender } = renderPicker('')
-
-      await rerender({ sourcePath: '/valid/path' })
-      await waitFor(() => {
-        expect(screen.getByText('Select items to migrate')).toBeDefined()
-      })
-    })
-
-    it('shows optional message when no valid source', () => {
-      renderPicker('')
-      expect(screen.getByText('Migration is optional')).toBeDefined()
-    })
-  })
-
-  describe('validateSource', () => {
-    it('clears error when source path becomes empty', async () => {
-      mockValidateComfyUISource.mockResolvedValue({
-        isValid: false,
-        error: 'Not found'
-      })
-
-      const user = userEvent.setup()
-      renderPicker()
-
-      await user.type(screen.getByTestId('source-input'), '/bad/path')
-      await waitFor(() => {
-        expect(screen.getByTestId('error-msg')).toBeDefined()
-      })
-
-      await user.clear(screen.getByTestId('source-input'))
-      await waitFor(() => {
-        expect(screen.queryByTestId('error-msg')).toBeNull()
-      })
-    })
-
-    it('shows error message when validation fails', async () => {
-      mockValidateComfyUISource.mockResolvedValue({
-        isValid: false,
-        error: 'Path not found'
-      })
-
-      const user = userEvent.setup()
-      renderPicker()
-
-      await user.type(screen.getByTestId('source-input'), '/bad/path')
-      await waitFor(() => {
-        expect(screen.getByTestId('error-msg')).toBeDefined()
-      })
-    })
-
-    it('shows no error when validation passes', async () => {
-      mockValidateComfyUISource.mockResolvedValue({ isValid: true })
-
-      const user = userEvent.setup()
-      renderPicker()
-
-      await user.type(screen.getByTestId('source-input'), '/valid/path')
-      await waitFor(() => {
-        expect(screen.queryByTestId('error-msg')).toBeNull()
-      })
-    })
-  })
-
-  describe('migrationItemIds watchEffect', () => {
-    it('emits all item IDs by default (all items start selected)', async () => {
-      const onUpdate = vi.fn()
-      render(MigrationPicker, {
-        props: {
-          sourcePath: '',
-          migrationItemIds: [],
-          'onUpdate:migrationItemIds': onUpdate
-        },
-        global: {
-          plugins: [[PrimeVue, { unstyled: true }], i18n],
-          stubs: {
-            InputText: InputTextStub,
-            Checkbox: CheckboxStub,
-            Button: { template: '<button />' },
-            Message: { template: '<div />' }
-          }
-        }
-      })
-
-      await waitFor(() => {
-        expect(onUpdate).toHaveBeenCalled()
-        const emittedIds = onUpdate.mock.calls[0][0]
-        expect(Array.isArray(emittedIds)).toBe(true)
-        expect(emittedIds.length).toBeGreaterThan(0)
-      })
-    })
-  })
-
-  describe('browse path', () => {
-    it('opens directory picker on browse click', async () => {
-      mockShowDirectoryPicker.mockResolvedValue(null)
-      renderPicker()
-
-      const user = userEvent.setup()
-      await user.click(screen.getByTestId('browse-btn'))
-
-      expect(mockShowDirectoryPicker).toHaveBeenCalledOnce()
-    })
-
-    it('updates source path when directory is selected', async () => {
-      mockShowDirectoryPicker.mockResolvedValue('/selected/path')
-      mockValidateComfyUISource.mockResolvedValue({ isValid: true })
-
-      const onUpdate = vi.fn()
-      render(MigrationPicker, {
-        props: {
-          sourcePath: '',
-          'onUpdate:sourcePath': onUpdate
-        },
-        global: {
-          plugins: [[PrimeVue, { unstyled: true }], i18n],
-          stubs: {
-            InputText: InputTextStub,
-            Checkbox: CheckboxStub,
-            Button: { template: '<button data-testid="browse-btn" />' },
-            Message: { template: '<div />' }
-          }
-        }
-      })
-
-      const user = userEvent.setup()
-      await user.click(screen.getByTestId('browse-btn'))
-
-      await waitFor(() => {
-        expect(onUpdate).toHaveBeenCalledWith('/selected/path')
-      })
-    })
-  })
-})

apps/desktop-ui/src/components/maintenance/StatusTag.test.ts

@@ -1,85 +0,0 @@
-import { render, screen } from '@testing-library/vue'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi } from 'vitest'
-import { defineComponent } from 'vue'
-
-vi.mock('@/i18n', () => ({
-  t: (key: string) => key
-}))
-
-import StatusTag from '@/components/maintenance/StatusTag.vue'
-
-const TagStub = defineComponent({
-  name: 'Tag',
-  props: {
-    icon: String,
-    severity: String,
-    value: String
-  },
-  template: `<span data-testid="tag" :data-icon="icon" :data-severity="severity" :data-value="value">{{ value }}</span>`
-})
-
-function renderStatusTag(props: { error: boolean; refreshing?: boolean }) {
-  return render(StatusTag, {
-    props,
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }]],
-      stubs: { Tag: TagStub }
-    }
-  })
-}
-
-describe('StatusTag', () => {
-  describe('refreshing state', () => {
-    it('shows info severity when refreshing', () => {
-      renderStatusTag({ error: false, refreshing: true })
-      expect(screen.getByTestId('tag').dataset.severity).toBe('info')
-    })
-
-    it('shows refreshing translation key when refreshing', () => {
-      renderStatusTag({ error: false, refreshing: true })
-      expect(screen.getByTestId('tag').dataset.value).toBe(
-        'maintenance.refreshing'
-      )
-    })
-
-    it('shows question icon when refreshing', () => {
-      renderStatusTag({ error: false, refreshing: true })
-      expect(screen.getByTestId('tag').dataset.icon).toBeDefined()
-    })
-  })
-
-  describe('error state', () => {
-    it('shows danger severity when error is true', () => {
-      renderStatusTag({ error: true })
-      expect(screen.getByTestId('tag').dataset.severity).toBe('danger')
-    })
-
-    it('shows error translation key when error is true', () => {
-      renderStatusTag({ error: true })
-      expect(screen.getByTestId('tag').dataset.value).toBe('g.error')
-    })
-  })
-
-  describe('OK state', () => {
-    it('shows success severity when not refreshing and not error', () => {
-      renderStatusTag({ error: false })
-      expect(screen.getByTestId('tag').dataset.severity).toBe('success')
-    })
-
-    it('shows OK translation key when not refreshing and not error', () => {
-      renderStatusTag({ error: false })
-      expect(screen.getByTestId('tag').dataset.value).toBe('maintenance.OK')
-    })
-  })
-
-  describe('precedence', () => {
-    it('shows refreshing state when both refreshing and error are true', () => {
-      renderStatusTag({ error: true, refreshing: true })
-      expect(screen.getByTestId('tag').dataset.severity).toBe('info')
-      expect(screen.getByTestId('tag').dataset.value).toBe(
-        'maintenance.refreshing'
-      )
-    })
-  })
-})

apps/desktop-ui/src/components/maintenance/TaskCard.test.ts

@@ -1,89 +0,0 @@
-import { render, screen } from '@testing-library/vue'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi } from 'vitest'
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => ({
-    Validation: { validateInstallation: vi.fn() }
-  }))
-}))
-
-vi.mock('@/constants/desktopMaintenanceTasks', () => ({
-  DESKTOP_MAINTENANCE_TASKS: []
-}))
-
-vi.mock('@/utils/refUtil', () => ({
-  useMinLoadingDurationRef: (source: { value: boolean }) => source
-}))
-
-const mockGetRunner = vi.fn()
-vi.mock('@/stores/maintenanceTaskStore', () => ({
-  useMaintenanceTaskStore: vi.fn(() => ({
-    getRunner: mockGetRunner
-  }))
-}))
-
-import type { MaintenanceTask } from '@/types/desktop/maintenanceTypes'
-import TaskCard from '@/components/maintenance/TaskCard.vue'
-
-const baseTask: MaintenanceTask = {
-  id: 'testTask',
-  name: 'Test Task',
-  shortDescription: 'Short description',
-  errorDescription: 'Error occurred',
-  execute: vi.fn().mockResolvedValue(true)
-}
-
-const cardStubs = {
-  Card: {
-    template: '<div data-testid="card"><slot name="content"></slot></div>'
-  },
-  Button: { template: '<button />' }
-}
-
-function renderCard(
-  state: 'OK' | 'error' | 'warning' | 'skipped',
-  task: MaintenanceTask = baseTask
-) {
-  mockGetRunner.mockReturnValue({
-    state,
-    executing: false,
-    refreshing: false,
-    resolved: false
-  })
-
-  return render(TaskCard, {
-    props: { task },
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }]],
-      stubs: cardStubs
-    }
-  })
-}
-
-describe('TaskCard', () => {
-  describe('description computed', () => {
-    it('shows errorDescription when task state is error', () => {
-      renderCard('error')
-      expect(screen.getByText('Error occurred')).toBeDefined()
-    })
-
-    it('shows shortDescription when task state is OK', () => {
-      renderCard('OK')
-      expect(screen.getByText('Short description')).toBeDefined()
-    })
-
-    it('shows shortDescription when task state is warning', () => {
-      renderCard('warning')
-      expect(screen.getByText('Short description')).toBeDefined()
-    })
-
-    it('falls back to shortDescription when errorDescription is absent and state is error', () => {
-      const taskWithoutErrorDesc: MaintenanceTask = {
-        ...baseTask,
-        errorDescription: undefined
-      }
-      renderCard('error', taskWithoutErrorDesc)
-      expect(screen.getByText('Short description')).toBeDefined()
-    })
-  })
-})

apps/desktop-ui/src/components/maintenance/TaskListItem.test.ts

@@ -1,97 +0,0 @@
-import { render, screen } from '@testing-library/vue'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi } from 'vitest'
-
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => ({
-    Validation: { validateInstallation: vi.fn() }
-  }))
-}))
-
-vi.mock('@/constants/desktopMaintenanceTasks', () => ({
-  DESKTOP_MAINTENANCE_TASKS: []
-}))
-
-vi.mock('@/utils/refUtil', () => ({
-  useMinLoadingDurationRef: (source: { value: boolean }) => source
-}))
-
-vi.mock('@/i18n', () => ({
-  t: (key: string) => key
-}))
-
-const mockGetRunner = vi.fn()
-vi.mock('@/stores/maintenanceTaskStore', () => ({
-  useMaintenanceTaskStore: vi.fn(() => ({
-    getRunner: mockGetRunner
-  }))
-}))
-
-import type { MaintenanceTask } from '@/types/desktop/maintenanceTypes'
-import TaskListItem from '@/components/maintenance/TaskListItem.vue'
-
-const baseTask: MaintenanceTask = {
-  id: 'testTask',
-  name: 'Test Task',
-  button: { text: 'Fix', icon: 'pi pi-check' },
-  execute: vi.fn().mockResolvedValue(true)
-}
-
-const ButtonStub = {
-  props: ['severity', 'label', 'icon', 'loading'],
-  template:
-    '<button :data-severity="severity" :data-label="label" :data-testid="label ? \'action-button\' : \'icon-button\'" />'
-}
-
-function renderItem(state: 'OK' | 'error' | 'warning' | 'skipped') {
-  mockGetRunner.mockReturnValue({
-    state,
-    executing: false,
-    refreshing: false,
-    resolved: false
-  })
-
-  return render(TaskListItem, {
-    props: { task: baseTask },
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }]],
-      stubs: {
-        Button: ButtonStub,
-        Popover: { template: '<div />' },
-        TaskListStatusIcon: { template: '<span />' }
-      }
-    }
-  })
-}
-
-describe('TaskListItem', () => {
-  describe('severity computed', () => {
-    it('uses primary severity for error state', () => {
-      renderItem('error')
-      expect(screen.getByTestId('action-button').dataset.severity).toBe(
-        'primary'
-      )
-    })
-
-    it('uses primary severity for warning state', () => {
-      renderItem('warning')
-      expect(screen.getByTestId('action-button').dataset.severity).toBe(
-        'primary'
-      )
-    })
-
-    it('uses secondary severity for OK state', () => {
-      renderItem('OK')
-      expect(screen.getByTestId('action-button').dataset.severity).toBe(
-        'secondary'
-      )
-    })
-
-    it('uses secondary severity for skipped state', () => {
-      renderItem('skipped')
-      expect(screen.getByTestId('action-button').dataset.severity).toBe(
-        'secondary'
-      )
-    })
-  })
-})

apps/desktop-ui/src/components/maintenance/TaskListStatusIcon.test.ts

@@ -1,44 +0,0 @@
-import { render, screen } from '@testing-library/vue'
-import PrimeVue from 'primevue/config'
-import { describe, expect, it, vi } from 'vitest'
-
-vi.mock('@/i18n', () => ({
-  t: (key: string) => key
-}))
-
-import TaskListStatusIcon from '@/components/maintenance/TaskListStatusIcon.vue'
-
-type TaskState = 'warning' | 'error' | 'resolved' | 'OK' | 'skipped' | undefined
-
-function renderIcon(state: TaskState, loading?: boolean) {
-  return render(TaskListStatusIcon, {
-    props: { state, loading },
-    global: {
-      plugins: [[PrimeVue, { unstyled: true }]],
-      stubs: {
-        ProgressSpinner: {
-          template: '<div data-testid="spinner" />'
-        }
-      }
-    }
-  })
-}
-
-describe('TaskListStatusIcon', () => {
-  describe('loading / no state', () => {
-    it('renders spinner when state is undefined', () => {
-      renderIcon(undefined)
-      expect(screen.getByTestId('spinner')).toBeDefined()
-    })
-
-    it('renders spinner when loading is true', () => {
-      renderIcon('OK', true)
-      expect(screen.getByTestId('spinner')).toBeDefined()
-    })
-
-    it('hides spinner when state is defined and not loading', () => {
-      renderIcon('OK', false)
-      expect(screen.queryByTestId('spinner')).toBeNull()
-    })
-  })
-})

apps/desktop-ui/src/composables/bottomPanelTabs/useTerminal.test.ts

@@ -1,124 +0,0 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-import { ref } from 'vue'
-
-const { mockTerminal, MockTerminal, mockFitAddon, MockFitAddon } = vi.hoisted(
-  () => {
-    const mockTerminal = {
-      loadAddon: vi.fn(),
-      attachCustomKeyEventHandler: vi.fn(),
-      open: vi.fn(),
-      dispose: vi.fn(),
-      hasSelection: vi.fn<[], boolean>(),
-      resize: vi.fn(),
-      cols: 80,
-      rows: 24
-    }
-    const MockTerminal = vi.fn(function () {
-      return mockTerminal
-    })
-
-    const mockFitAddon = {
-      proposeDimensions: vi.fn().mockReturnValue({ cols: 80, rows: 24 })
-    }
-    const MockFitAddon = vi.fn(function () {
-      return mockFitAddon
-    })
-
-    return { mockTerminal, MockTerminal, mockFitAddon, MockFitAddon }
-  }
-)
-
-vi.mock('@xterm/xterm', () => ({ Terminal: MockTerminal }))
-vi.mock('@xterm/addon-fit', () => ({ FitAddon: MockFitAddon }))
-vi.mock('@xterm/xterm/css/xterm.css', () => ({}))
-
-import { withSetup } from '@/test/withSetup'
-import { useTerminal } from '@/composables/bottomPanelTabs/useTerminal'
-
-function getKeyHandler(): (event: KeyboardEvent) => boolean {
-  return mockTerminal.attachCustomKeyEventHandler.mock.calls[0][0]
-}
-
-describe('useTerminal key event handler', () => {
-  beforeEach(() => {
-    vi.clearAllMocks()
-    mockTerminal.hasSelection.mockReturnValue(false)
-
-    const element = ref<HTMLElement | undefined>(undefined)
-    withSetup(() => useTerminal(element))
-  })
-
-  it('allows browser to handle copy when text is selected (Ctrl+C)', () => {
-    mockTerminal.hasSelection.mockReturnValue(true)
-    const event = {
-      type: 'keydown',
-      ctrlKey: true,
-      metaKey: false,
-      key: 'c'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(false)
-  })
-
-  it('allows browser to handle copy when text is selected (Meta+C)', () => {
-    mockTerminal.hasSelection.mockReturnValue(true)
-    const event = {
-      type: 'keydown',
-      ctrlKey: false,
-      metaKey: true,
-      key: 'c'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(false)
-  })
-
-  it('does not pass copy to browser when no text is selected', () => {
-    mockTerminal.hasSelection.mockReturnValue(false)
-    const event = {
-      type: 'keydown',
-      ctrlKey: true,
-      metaKey: false,
-      key: 'c'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(true)
-  })
-
-  it('allows browser to handle paste (Ctrl+V)', () => {
-    const event = {
-      type: 'keydown',
-      ctrlKey: true,
-      metaKey: false,
-      key: 'v'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(false)
-  })
-
-  it('allows browser to handle paste (Meta+V)', () => {
-    const event = {
-      type: 'keydown',
-      ctrlKey: false,
-      metaKey: true,
-      key: 'v'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(false)
-  })
-
-  it('does not intercept non-keydown events', () => {
-    mockTerminal.hasSelection.mockReturnValue(true)
-    const event = {
-      type: 'keyup',
-      ctrlKey: true,
-      metaKey: false,
-      key: 'c'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(true)
-  })
-
-  it('passes through unrelated key combinations', () => {
-    const event = {
-      type: 'keydown',
-      ctrlKey: false,
-      metaKey: false,
-      key: 'Enter'
-    } as KeyboardEvent
-    expect(getKeyHandler()(event)).toBe(true)
-  })
-})

apps/desktop-ui/src/composables/bottomPanelTabs/useTerminalBuffer.test.ts

@@ -1,48 +0,0 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-
-const { mockSerialize, MockSerializeAddon } = vi.hoisted(() => {
-  const mockSerialize = vi.fn<[], string>()
-  const MockSerializeAddon = vi.fn(function () {
-    return { serialize: mockSerialize }
-  })
-  return { mockSerialize, MockSerializeAddon }
-})
-
-vi.mock('@xterm/xterm', () => ({
-  Terminal: vi.fn(function () {
-    return { loadAddon: vi.fn(), dispose: vi.fn(), write: vi.fn() }
-  })
-}))
-
-vi.mock('@xterm/addon-serialize', () => ({
-  SerializeAddon: MockSerializeAddon
-}))
-
-import type { Terminal } from '@xterm/xterm'
-import { withSetup } from '@/test/withSetup'
-import { useTerminalBuffer } from '@/composables/bottomPanelTabs/useTerminalBuffer'
-
-describe('useTerminalBuffer', () => {
-  beforeEach(() => {
-    vi.clearAllMocks()
-    mockSerialize.mockReturnValue('')
-  })
-
-  describe('copyTo', () => {
-    it('writes serialized buffer content to the destination terminal', () => {
-      mockSerialize.mockReturnValue('hello world')
-      const { copyTo } = withSetup(() => useTerminalBuffer())
-      const mockWrite = vi.fn()
-      copyTo({ write: mockWrite } as Pick<Terminal, 'write'>)
-      expect(mockWrite).toHaveBeenCalledWith('hello world')
-    })
-
-    it('writes empty string when buffer is empty', () => {
-      mockSerialize.mockReturnValue('')
-      const { copyTo } = withSetup(() => useTerminalBuffer())
-      const mockWrite = vi.fn()
-      copyTo({ write: mockWrite } as Pick<Terminal, 'write'>)
-      expect(mockWrite).toHaveBeenCalledWith('')
-    })
-  })
-})

apps/desktop-ui/src/constants/desktopDialogs.test.ts

@@ -1,50 +0,0 @@
-import { describe, expect, it } from 'vitest'
-
-import { DESKTOP_DIALOGS, getDialog } from '@/constants/desktopDialogs'
-
-describe('getDialog', () => {
-  it('returns the matching dialog for a valid ID', () => {
-    const result = getDialog('reinstallVenv')
-    expect(result.id).toBe('reinstallVenv')
-    expect(result.title).toBe(DESKTOP_DIALOGS.reinstallVenv.title)
-    expect(result.message).toBe(DESKTOP_DIALOGS.reinstallVenv.message)
-  })
-
-  it('returns invalidDialog for an unknown string ID', () => {
-    const result = getDialog('unknownDialog')
-    expect(result.id).toBe('invalidDialog')
-  })
-
-  it('returns invalidDialog when given an array of strings', () => {
-    const result = getDialog(['reinstallVenv', 'other'])
-    expect(result.id).toBe('invalidDialog')
-  })
-
-  it('returns invalidDialog for empty string', () => {
-    const result = getDialog('')
-    expect(result.id).toBe('invalidDialog')
-  })
-
-  it('returns a deep clone — mutations do not affect the original', () => {
-    const result = getDialog('reinstallVenv')
-    const originalFirstLabel = DESKTOP_DIALOGS.reinstallVenv.buttons[0].label
-    result.buttons[0].label = 'Mutated'
-    expect(DESKTOP_DIALOGS.reinstallVenv.buttons[0].label).toBe(
-      originalFirstLabel
-    )
-  })
-
-  it('every button has a returnValue', () => {
-    for (const id of Object.keys(DESKTOP_DIALOGS)) {
-      const result = getDialog(id)
-      for (const button of result.buttons) {
-        expect(button.returnValue).toBeDefined()
-      }
-    }
-  })
-
-  it('invalidDialog has a close/cancel button', () => {
-    const result = getDialog('invalidDialog')
-    expect(result.buttons.some((b) => b.action === 'cancel')).toBe(true)
-  })
-})

apps/desktop-ui/src/constants/desktopMaintenanceTasks.test.ts

@@ -1,75 +0,0 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-
-const { mockElectron } = vi.hoisted(() => ({
-  mockElectron: {
-    setBasePath: vi.fn(),
-    reinstall: vi.fn<[], Promise<void>>().mockResolvedValue(undefined),
-    uv: {
-      installRequirements: vi.fn<[], Promise<void>>(),
-      clearCache: vi.fn<[], Promise<void>>().mockResolvedValue(undefined),
-      resetVenv: vi.fn<[], Promise<void>>().mockResolvedValue(undefined)
-    }
-  }
-}))
-
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => mockElectron)
-}))
-
-import { DESKTOP_MAINTENANCE_TASKS } from '@/constants/desktopMaintenanceTasks'
-
-function findTask(id: string) {
-  const task = DESKTOP_MAINTENANCE_TASKS.find((t) => t.id === id)
-  if (!task) throw new Error(`Task not found: ${id}`)
-  return task
-}
-
-describe('desktopMaintenanceTasks', () => {
-  beforeEach(() => {
-    vi.resetAllMocks()
-    vi.spyOn(window, 'open').mockReturnValue(null)
-    mockElectron.reinstall.mockResolvedValue(undefined)
-    mockElectron.uv.clearCache.mockResolvedValue(undefined)
-    mockElectron.uv.resetVenv.mockResolvedValue(undefined)
-  })
-
-  describe('pythonPackages', () => {
-    it('returns true when installation succeeds', async () => {
-      mockElectron.uv.installRequirements.mockResolvedValue(undefined)
-      expect(await findTask('pythonPackages').execute()).toBe(true)
-    })
-
-    it('returns false when installation throws', async () => {
-      mockElectron.uv.installRequirements.mockRejectedValue(
-        new Error('install failed')
-      )
-      expect(await findTask('pythonPackages').execute()).toBe(false)
-    })
-  })
-
-  describe('URL-opening tasks', () => {
-    it('git execute opens the git download page', () => {
-      findTask('git').execute()
-      expect(window.open).toHaveBeenCalledWith(
-        'https://git-scm.com/downloads/',
-        '_blank'
-      )
-    })
-
-    it('uv execute opens the uv installation page', () => {
-      findTask('uv').execute()
-      expect(window.open).toHaveBeenCalledWith(
-        'https://docs.astral.sh/uv/getting-started/installation/',
-        '_blank'
-      )
-    })
-
-    it('vcRedist execute opens the VC++ redistributable download', () => {
-      findTask('vcRedist').execute()
-      expect(window.open).toHaveBeenCalledWith(
-        'https://aka.ms/vs/17/release/vc_redist.x64.exe',
-        '_blank'
-      )
-    })
-  })
-})

apps/desktop-ui/src/stores/maintenanceTaskStore.test.ts

@@ -1,288 +0,0 @@
-import { createTestingPinia } from '@pinia/testing'
-import type { InstallValidation } from '@comfyorg/comfyui-electron-types'
-import { setActivePinia } from 'pinia'
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-
-const { mockElectron, testTasks } = vi.hoisted(() => {
-  const terminalTaskExecute = vi.fn().mockResolvedValue(true)
-  const basicTaskExecute = vi.fn().mockResolvedValue(true)
-
-  return {
-    mockElectron: {
-      Validation: {
-        validateInstallation: vi.fn()
-      }
-    },
-    testTasks: [
-      {
-        id: 'basicTask',
-        name: 'Basic Task',
-        execute: basicTaskExecute
-      },
-      {
-        id: 'terminalTask',
-        name: 'Terminal Task',
-        execute: terminalTaskExecute,
-        usesTerminal: true,
-        isInstallationFix: true
-      }
-    ]
-  }
-})
-
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => mockElectron)
-}))
-
-vi.mock('@/constants/desktopMaintenanceTasks', () => ({
-  DESKTOP_MAINTENANCE_TASKS: testTasks
-}))
-
-import { useMaintenanceTaskStore } from '@/stores/maintenanceTaskStore'
-import type { MaintenanceTask } from '@/types/desktop/maintenanceTypes'
-
-type PartialInstallValidation = Partial<InstallValidation> &
-  Record<string, unknown>
-
-function makeUpdate(
-  overrides: PartialInstallValidation = {}
-): InstallValidation {
-  return {
-    inProgress: false,
-    installState: 'installed',
-    ...overrides
-  } as InstallValidation
-}
-
-function createStore() {
-  setActivePinia(createTestingPinia({ stubActions: false }))
-  return useMaintenanceTaskStore()
-}
-
-describe('useMaintenanceTaskStore', () => {
-  let store: ReturnType<typeof useMaintenanceTaskStore>
-  const [basicTask, terminalTask] = testTasks as MaintenanceTask[]
-
-  beforeEach(() => {
-    vi.resetAllMocks()
-    store = createStore()
-  })
-
-  describe('processUpdate', () => {
-    it('sets isRefreshing to true during in-progress update', () => {
-      store.processUpdate(makeUpdate({ inProgress: true }))
-      expect(store.isRefreshing).toBe(true)
-    })
-
-    it('sets isRefreshing to false when update is complete', () => {
-      store.processUpdate(makeUpdate({ inProgress: false, basicTask: 'OK' }))
-      expect(store.isRefreshing).toBe(false)
-    })
-
-    it('updates runner state for tasks present in the final update', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'error' }))
-      expect(store.getRunner(basicTask).state).toBe('error')
-    })
-
-    it('sets task state to warning from update', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'warning' }))
-      expect(store.getRunner(basicTask).state).toBe('warning')
-    })
-
-    it('marks runners as refreshing when task id is absent from in-progress update', () => {
-      store.processUpdate(makeUpdate({ inProgress: true }))
-      expect(store.getRunner(basicTask).refreshing).toBe(true)
-    })
-
-    it('marks task as skipped when absent from final update', () => {
-      store.processUpdate(makeUpdate({ inProgress: false }))
-      expect(store.getRunner(basicTask).state).toBe('skipped')
-    })
-
-    it('clears refreshing flag after final update', () => {
-      store.processUpdate(makeUpdate({ inProgress: true }))
-      store.processUpdate(makeUpdate({ inProgress: false }))
-      expect(store.getRunner(basicTask).refreshing).toBe(false)
-    })
-
-    it('stores lastUpdate and exposes unsafeBasePath', () => {
-      store.processUpdate(makeUpdate({ unsafeBasePath: true }))
-      expect(store.unsafeBasePath).toBe(true)
-    })
-
-    it('exposes unsafeBasePathReason from the update', () => {
-      store.processUpdate(
-        makeUpdate({ unsafeBasePath: true, unsafeBasePathReason: 'oneDrive' })
-      )
-      expect(store.unsafeBasePathReason).toBe('oneDrive')
-    })
-  })
-
-  describe('anyErrors', () => {
-    it('returns true when any task has error state', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'error' }))
-      expect(store.anyErrors).toBe(true)
-    })
-
-    it('returns false when all tasks are OK', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'OK', terminalTask: 'OK' }))
-      expect(store.anyErrors).toBe(false)
-    })
-
-    it('returns false when all tasks are warning', () => {
-      store.processUpdate(
-        makeUpdate({ basicTask: 'warning', terminalTask: 'warning' })
-      )
-      expect(store.anyErrors).toBe(false)
-    })
-  })
-
-  describe('runner state transitions', () => {
-    it('marks runner as resolved when transitioning from error to OK', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'error' }))
-      store.processUpdate(makeUpdate({ basicTask: 'OK' }))
-      expect(store.getRunner(basicTask).resolved).toBe(true)
-    })
-
-    it('does not mark resolved for warning to OK transition', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'warning' }))
-      store.processUpdate(makeUpdate({ basicTask: 'OK' }))
-      expect(store.getRunner(basicTask).resolved).toBeFalsy()
-    })
-
-    it('clears resolved flag when task returns to error', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'error' }))
-      store.processUpdate(makeUpdate({ basicTask: 'OK' }))
-      store.processUpdate(makeUpdate({ basicTask: 'error' }))
-      expect(store.getRunner(basicTask).resolved).toBeFalsy()
-    })
-  })
-
-  describe('clearResolved', () => {
-    it('clears resolved flags on all runners', () => {
-      store.processUpdate(makeUpdate({ basicTask: 'error' }))
-      store.processUpdate(makeUpdate({ basicTask: 'OK' }))
-      expect(store.getRunner(basicTask).resolved).toBe(true)
-
-      store.clearResolved()
-      expect(store.getRunner(basicTask).resolved).toBeFalsy()
-    })
-  })
-
-  describe('execute', () => {
-    it('returns true when task execution succeeds', async () => {
-      vi.mocked(basicTask.execute).mockResolvedValue(true)
-      const result = await store.execute(basicTask)
-      expect(result).toBe(true)
-    })
-
-    it('returns false when task execution fails', async () => {
-      vi.mocked(basicTask.execute).mockResolvedValue(false)
-      const result = await store.execute(basicTask)
-      expect(result).toBe(false)
-    })
-
-    it('calls refreshDesktopTasks after successful installation-fix task', async () => {
-      vi.mocked(terminalTask.execute).mockResolvedValue(true)
-      await store.execute(terminalTask)
-      expect(
-        mockElectron.Validation.validateInstallation
-      ).toHaveBeenCalledOnce()
-    })
-
-    it('does not call refreshDesktopTasks when task is not an installation fix', async () => {
-      vi.mocked(basicTask.execute).mockResolvedValue(true)
-      await store.execute(basicTask)
-      expect(
-        mockElectron.Validation.validateInstallation
-      ).not.toHaveBeenCalled()
-    })
-
-    it('does not call refreshDesktopTasks when installation-fix task fails', async () => {
-      vi.mocked(terminalTask.execute).mockResolvedValue(false)
-      await store.execute(terminalTask)
-      expect(
-        mockElectron.Validation.validateInstallation
-      ).not.toHaveBeenCalled()
-    })
-
-    it('sets runner executing to true during task execution', async () => {
-      let resolveTask!: (value: boolean) => void
-      vi.mocked(basicTask.execute).mockReturnValue(
-        new Promise<boolean>((resolve) => {
-          resolveTask = resolve
-        })
-      )
-
-      const executePromise = store.execute(basicTask)
-      expect(store.getRunner(basicTask).executing).toBe(true)
-
-      resolveTask(true)
-      await executePromise
-      expect(store.getRunner(basicTask).executing).toBe(false)
-    })
-
-    it('clears executing flag when task throws', async () => {
-      vi.mocked(basicTask.execute).mockRejectedValue(new Error('fail'))
-      await expect(store.execute(basicTask)).rejects.toThrow('fail')
-      expect(store.getRunner(basicTask).executing).toBe(false)
-    })
-
-    it('sets runner error message when task throws', async () => {
-      vi.mocked(basicTask.execute).mockRejectedValue(
-        new Error('something broke')
-      )
-      await expect(store.execute(basicTask)).rejects.toThrow()
-      expect(store.getRunner(basicTask).error).toBe('something broke')
-    })
-
-    it('clears runner error on successful execution', async () => {
-      vi.mocked(basicTask.execute).mockRejectedValue(new Error('fail'))
-      await expect(store.execute(basicTask)).rejects.toThrow()
-
-      vi.mocked(basicTask.execute).mockResolvedValue(true)
-      await store.execute(basicTask)
-      expect(store.getRunner(basicTask).error).toBeUndefined()
-    })
-  })
-
-  describe('isRunningTerminalCommand', () => {
-    it('returns true while a terminal task is executing', async () => {
-      let resolveTask!: (value: boolean) => void
-      vi.mocked(terminalTask.execute).mockReturnValue(
-        new Promise<boolean>((resolve) => {
-          resolveTask = resolve
-        })
-      )
-
-      const executePromise = store.execute(terminalTask)
-      expect(store.isRunningTerminalCommand).toBe(true)
-
-      resolveTask(true)
-      await executePromise
-      expect(store.isRunningTerminalCommand).toBe(false)
-    })
-
-    it('returns false when no terminal tasks are executing', () => {
-      expect(store.isRunningTerminalCommand).toBe(false)
-    })
-  })
-
-  describe('isRunningInstallationFix', () => {
-    it('returns true while an installation-fix task is executing', async () => {
-      let resolveTask!: (value: boolean) => void
-      vi.mocked(terminalTask.execute).mockReturnValue(
-        new Promise<boolean>((resolve) => {
-          resolveTask = resolve
-        })
-      )
-
-      const executePromise = store.execute(terminalTask)
-      expect(store.isRunningInstallationFix).toBe(true)
-
-      resolveTask(true)
-      await executePromise
-      expect(store.isRunningInstallationFix).toBe(false)
-    })
-  })
-})

apps/desktop-ui/src/test/setup.ts

@@ -1 +0,0 @@
-import '@testing-library/jest-dom/vitest'

apps/desktop-ui/src/test/withSetup.ts

@@ -1,16 +0,0 @@
-import { render } from '@testing-library/vue'
-import { defineComponent } from 'vue'
-
-export function withSetup<T>(composable: () => T): T {
-  let result!: T
-  render(
-    defineComponent({
-      setup() {
-        result = composable()
-        return {}
-      },
-      template: '<div />'
-    })
-  )
-  return result
-}

apps/desktop-ui/src/utils/electronMirrorCheck.test.ts

@@ -1,52 +0,0 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-
-const { mockElectron } = vi.hoisted(() => ({
-  mockElectron: {
-    NetWork: {
-      canAccessUrl: vi.fn<[url: string], Promise<boolean>>()
-    }
-  }
-}))
-
-vi.mock('@/utils/envUtil', () => ({
-  electronAPI: vi.fn(() => mockElectron)
-}))
-
-import { checkMirrorReachable } from '@/utils/electronMirrorCheck'
-
-describe('checkMirrorReachable', () => {
-  beforeEach(() => {
-    vi.clearAllMocks()
-  })
-
-  it('returns false for an invalid URL without calling canAccessUrl', async () => {
-    const result = await checkMirrorReachable('not-a-url')
-    expect(result).toBe(false)
-    expect(mockElectron.NetWork.canAccessUrl).not.toHaveBeenCalled()
-  })
-
-  it('returns false when canAccessUrl returns false', async () => {
-    mockElectron.NetWork.canAccessUrl.mockResolvedValue(false)
-    const result = await checkMirrorReachable('https://example.com')
-    expect(result).toBe(false)
-  })
-
-  it('returns true when URL is valid and canAccessUrl returns true', async () => {
-    mockElectron.NetWork.canAccessUrl.mockResolvedValue(true)
-    const result = await checkMirrorReachable('https://example.com')
-    expect(result).toBe(true)
-  })
-
-  it('passes the mirror URL to canAccessUrl', async () => {
-    const url = 'https://pypi.org/simple/'
-    mockElectron.NetWork.canAccessUrl.mockResolvedValue(true)
-    await checkMirrorReachable(url)
-    expect(mockElectron.NetWork.canAccessUrl).toHaveBeenCalledWith(url)
-  })
-
-  it('returns false for empty string', async () => {
-    const result = await checkMirrorReachable('')
-    expect(result).toBe(false)
-    expect(mockElectron.NetWork.canAccessUrl).not.toHaveBeenCalled()
-  })
-})

apps/desktop-ui/src/utils/envUtil.test.ts

@@ -1,72 +0,0 @@
-import { afterEach, describe, expect, it, vi } from 'vitest'
-
-import { isElectron, isNativeWindow } from '@/utils/envUtil'
-
-describe('isElectron', () => {
-  afterEach(() => {
-    vi.unstubAllGlobals()
-  })
-
-  it('returns true when window.electronAPI is an object', () => {
-    vi.stubGlobal('window', { ...window, electronAPI: {} })
-    expect(isElectron()).toBe(true)
-  })
-
-  it('returns false when window.electronAPI is undefined', () => {
-    vi.stubGlobal('window', { ...window, electronAPI: undefined })
-    expect(isElectron()).toBe(false)
-  })
-
-  it('returns false when window.electronAPI is absent', () => {
-    const copy = { ...window } as Record<string, unknown>
-    delete copy['electronAPI']
-    vi.stubGlobal('window', copy)
-    expect(isElectron()).toBe(false)
-  })
-})
-
-describe('isNativeWindow', () => {
-  afterEach(() => {
-    vi.unstubAllGlobals()
-  })
-
-  it('returns true when Electron and windowControlsOverlay.visible is true', () => {
-    vi.stubGlobal('window', {
-      ...window,
-      electronAPI: {},
-      navigator: {
-        ...window.navigator,
-        windowControlsOverlay: { visible: true }
-      }
-    })
-    expect(isNativeWindow()).toBe(true)
-  })
-
-  it('returns false when not in Electron', () => {
-    const copy = { ...window } as Record<string, unknown>
-    delete copy['electronAPI']
-    vi.stubGlobal('window', copy)
-    expect(isNativeWindow()).toBe(false)
-  })
-
-  it('returns false when windowControlsOverlay.visible is false', () => {
-    vi.stubGlobal('window', {
-      ...window,
-      electronAPI: {},
-      navigator: {
-        ...window.navigator,
-        windowControlsOverlay: { visible: false }
-      }
-    })
-    expect(isNativeWindow()).toBe(false)
-  })
-
-  it('returns false when windowControlsOverlay is absent', () => {
-    vi.stubGlobal('window', {
-      ...window,
-      electronAPI: {},
-      navigator: { ...window.navigator, windowControlsOverlay: undefined }
-    })
-    expect(isNativeWindow()).toBe(false)
-  })
-})

apps/desktop-ui/src/utils/refUtil.test.ts

@@ -1,102 +0,0 @@
-import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest'
-import { computed, nextTick, ref } from 'vue'
-
-import { withSetup } from '@/test/withSetup'
-import { useMinLoadingDurationRef } from '@/utils/refUtil'
-
-describe('useMinLoadingDurationRef', () => {
-  beforeEach(() => {
-    vi.useFakeTimers()
-  })
-
-  afterEach(() => {
-    vi.useRealTimers()
-  })
-
-  it('reflects false when source is initially false', () => {
-    const source = ref(false)
-    const result = withSetup(() => useMinLoadingDurationRef(source))
-    expect(result.value).toBe(false)
-  })
-
-  it('reflects true when source is initially true', () => {
-    const source = ref(true)
-    const result = withSetup(() => useMinLoadingDurationRef(source))
-    expect(result.value).toBe(true)
-  })
-
-  it('becomes true immediately when source transitions to true', async () => {
-    const source = ref(false)
-    const result = withSetup(() => useMinLoadingDurationRef(source))
-    source.value = true
-    await nextTick()
-    expect(result.value).toBe(true)
-  })
-
-  it('stays true within minDuration after source returns to false', async () => {
-    const source = ref(false)
-    const result = withSetup(() => useMinLoadingDurationRef(source, 250))
-
-    source.value = true
-    await nextTick()
-    source.value = false
-    await nextTick()
-
-    vi.advanceTimersByTime(100)
-    await nextTick()
-    expect(result.value).toBe(true)
-  })
-
-  it('becomes false after minDuration has elapsed', async () => {
-    const source = ref(false)
-    const result = withSetup(() => useMinLoadingDurationRef(source, 250))
-
-    source.value = true
-    await nextTick()
-    source.value = false
-    await nextTick()
-
-    vi.advanceTimersByTime(250)
-    await nextTick()
-    expect(result.value).toBe(false)
-  })
-
-  it('remains true while source is true even after minDuration elapses', async () => {
-    const source = ref(false)
-    const result = withSetup(() => useMinLoadingDurationRef(source, 250))
-
-    source.value = true
-    await nextTick()
-    vi.advanceTimersByTime(500)
-    await nextTick()
-    expect(result.value).toBe(true)
-  })
-
-  it('works with a computed ref as input', async () => {
-    const raw = ref(false)
-    const source = computed(() => raw.value)
-    const result = withSetup(() => useMinLoadingDurationRef(source))
-
-    raw.value = true
-    await nextTick()
-    expect(result.value).toBe(true)
-  })
-
-  it('uses 250ms as default minDuration', async () => {
-    const source = ref(false)
-    const result = withSetup(() => useMinLoadingDurationRef(source))
-
-    source.value = true
-    await nextTick()
-    source.value = false
-    await nextTick()
-
-    vi.advanceTimersByTime(249)
-    await nextTick()
-    expect(result.value).toBe(true)
-
-    vi.advanceTimersByTime(1)
-    await nextTick()
-    expect(result.value).toBe(false)
-  })
-})

apps/desktop-ui/tsconfig.json

@@ -13,8 +13,7 @@
     "src/**/*.ts",
     "src/**/*.vue",
     "src/**/*.d.ts",
-    "vite.config.mts",
-    "vitest.config.mts"
+    "vite.config.mts"
   ],
   "references": []
 }

apps/desktop-ui/vitest.config.mts

@@ -1,22 +0,0 @@
-import vue from '@vitejs/plugin-vue'
-import path from 'node:path'
-import { fileURLToPath } from 'node:url'
-import { defineConfig } from 'vitest/config'
-
-const projectRoot = fileURLToPath(new URL('.', import.meta.url))
-
-export default defineConfig({
-  plugins: [vue()],
-  resolve: {
-    alias: {
-      '@': path.resolve(projectRoot, 'src'),
-      '@frontend-locales': path.resolve(projectRoot, '../../src/locales')
-    }
-  },
-  test: {
-    globals: true,
-    environment: 'happy-dom',
-    include: ['src/**/*.{test,spec}.{ts,tsx}'],
-    setupFiles: ['./src/test/setup.ts']
-  }
-})

apps/hub/.gitignore

@@ -0,0 +1,9 @@
+dist/
+.astro/
+.content-cache/
+src/content/templates/
+public/workflows/thumbnails/
+public/workflows/avatars/
+public/previews/
+public/search-index.json
+knowledge/tutorials/

apps/hub/astro.config.mjs

@@ -0,0 +1,254 @@
+import { defineConfig } from 'astro/config'
+import sitemap from '@astrojs/sitemap'
+import vercel from '@astrojs/vercel'
+import tailwindcss from '@tailwindcss/vite'
+import fs from 'node:fs'
+import path from 'node:path'
+import os from 'node:os'
+
+import vue from '@astrojs/vue'
+
+// Build template date lookup at config time
+const templatesDir = path.join(process.cwd(), 'src/content/templates')
+const templateDates = new Map()
+
+if (fs.existsSync(templatesDir)) {
+  const files = fs.readdirSync(templatesDir).filter((f) => f.endsWith('.json'))
+  for (const file of files) {
+    try {
+      const content = JSON.parse(
+        fs.readFileSync(path.join(templatesDir, file), 'utf-8')
+      )
+      if (content.name && content.date) {
+        templateDates.set(content.name, content.date)
+      }
+    } catch {
+      // Skip invalid JSON files
+    }
+  }
+}
+
+// Build timestamp used as lastmod fallback for pages without a specific date
+const buildDate = new Date().toISOString()
+
+// Supported locales (matches src/i18n/config.ts)
+const locales = [
+  'en',
+  'zh',
+  'zh-TW',
+  'ja',
+  'ko',
+  'es',
+  'fr',
+  'ru',
+  'tr',
+  'ar',
+  'pt-BR'
+]
+const nonDefaultLocales = locales.filter((l) => l !== 'en')
+
+// Custom sitemap pages for ISR routes not discovered at build time
+const siteOrigin = (
+  process.env.PUBLIC_SITE_ORIGIN || 'https://www.comfy.org'
+).replace(/\/$/, '')
+
+// Creator profile pages — extract unique usernames from synced templates
+const creatorUsernames = new Set()
+if (fs.existsSync(templatesDir)) {
+  const files = fs.readdirSync(templatesDir).filter((f) => f.endsWith('.json'))
+  for (const file of files) {
+    try {
+      const content = JSON.parse(
+        fs.readFileSync(path.join(templatesDir, file), 'utf-8')
+      )
+      if (content.username) creatorUsernames.add(content.username)
+    } catch {
+      // Skip invalid JSON
+    }
+  }
+}
+
+const creatorPages = [...creatorUsernames].map(
+  (u) => `${siteOrigin}/workflows/${u}/`
+)
+const localeCustomPages = nonDefaultLocales.map(
+  (locale) => `${siteOrigin}/${locale}/workflows/`
+)
+const customPages = [...creatorPages, ...localeCustomPages]
+
+// https://astro.build/config
+export default defineConfig({
+  site: (process.env.PUBLIC_SITE_ORIGIN || 'https://www.comfy.org').replace(
+    /\/$/,
+    ''
+  ),
+  prefetch: {
+    prefetchAll: false,
+    defaultStrategy: 'hover'
+  },
+  i18n: {
+    defaultLocale: 'en',
+    locales: locales,
+    routing: {
+      prefixDefaultLocale: false // English at root, others prefixed (/zh/, /ja/, etc.)
+    }
+  },
+  integrations: [
+    sitemap({
+      // Use custom filename to avoid collision with Framer's /sitemap.xml
+      filenameBase: 'sitemap-workflows',
+      // Include Framer's marketing sitemap in the index
+      customSitemaps: ['https://www.comfy.org/sitemap.xml'],
+      // Include on-demand locale pages that aren't discovered at build time
+      customPages: customPages,
+      serialize(item) {
+        const url = new URL(item.url)
+        const pathname = url.pathname
+
+        // Template detail pages: /workflows/{slug}/ or /{locale}/workflows/{slug}/
+        const templateMatch = pathname.match(
+          /^(?:\/([a-z]{2}(?:-[A-Z]{2})?))?\/workflows\/([^/]+)\/?$/
+        )
+        if (templateMatch) {
+          const slug = templateMatch[2]
+          const date = templateDates.get(slug)
+          item.lastmod = date ? new Date(date).toISOString() : buildDate
+          // @ts-expect-error - sitemap types are stricter than actual API
+          item.changefreq = 'monthly'
+          item.priority = 0.8
+          return item
+        }
+
+        // Homepage
+        if (pathname === '/' || pathname === '') {
+          item.lastmod = buildDate
+          // @ts-expect-error - sitemap types are stricter than actual API
+          item.changefreq = 'daily'
+          item.priority = 1.0
+          return item
+        }
+
+        // Workflows index (including localized versions)
+        if (pathname.match(/^(?:\/[a-z]{2}(?:-[A-Z]{2})?)?\/workflows\/?$/)) {
+          item.lastmod = buildDate
+          // @ts-expect-error - sitemap types are stricter than actual API
+          item.changefreq = 'daily'
+          item.priority = 0.9
+          return item
+        }
+
+        // Category pages: /workflows/category/{type}/ or /{locale}/workflows/category/{type}/
+        if (
+          pathname.match(
+            /^(?:\/[a-z]{2}(?:-[A-Z]{2})?)?\/workflows\/category\//
+          )
+        ) {
+          // @ts-expect-error - sitemap types are stricter than actual API
+          item.changefreq = 'weekly'
+          item.priority = 0.7
+          return item
+        }
+
+        // Model pages: /workflows/model/{model}/ or /{locale}/workflows/model/{model}/
+        if (
+          pathname.match(/^(?:\/[a-z]{2}(?:-[A-Z]{2})?)?\/workflows\/model\//)
+        ) {
+          // @ts-expect-error - sitemap types are stricter than actual API
+          item.changefreq = 'weekly'
+          item.priority = 0.6
+          return item
+        }
+
+        // Tag pages: /workflows/tag/{tag}/ or /{locale}/workflows/tag/{tag}/
+        if (
+          pathname.match(/^(?:\/[a-z]{2}(?:-[A-Z]{2})?)?\/workflows\/tag\//)
+        ) {
+          // @ts-expect-error - sitemap types are stricter than actual API
+          item.changefreq = 'weekly'
+          item.priority = 0.6
+          return item
+        }
+
+        // Default for other pages
+        // @ts-expect-error - sitemap types are stricter than actual API
+        item.changefreq = 'weekly'
+        item.priority = 0.5
+        return item
+      },
+      // Exclude OG image routes and legacy redirect pages from sitemap.
+      // Legacy redirects are /workflows/{slug}/ without a 12-char hex share_id suffix.
+      // Canonical detail pages are /workflows/{slug}-{shareId}/ (shareId = 12 hex chars).
+      filter: (page) => {
+        if (
+          page.includes('/workflows/og/') ||
+          page.includes('/workflows/og.png')
+        )
+          return false
+        // Check if this is a workflow detail path (not category/tag/model/creators)
+        const match = page.match(/\/workflows\/([^/]+)\/$/)
+        if (match) {
+          const segment = match[1]
+          // Skip known sub-paths
+          if (
+            ['category', 'tag', 'model', 'creators'].some((p) =>
+              page.includes(`/workflows/${p}/`)
+            )
+          )
+            return true
+          // Include if it has a share_id suffix (12 hex chars after last hyphen)
+          const lastHyphen = segment.lastIndexOf('-')
+          if (lastHyphen === -1) return false // No hyphen = legacy redirect
+          const candidate = segment.slice(lastHyphen + 1)
+          if (candidate.length === 12 && /^[0-9a-f]+$/.test(candidate))
+            return true
+          return false // Has hyphen but not a valid share_id = legacy redirect
+        }
+        return true
+      }
+    }),
+    vue()
+  ],
+  output: 'static',
+  adapter: vercel({
+    webAnalytics: { enabled: true },
+    skewProtection: true
+  }),
+
+  // Build performance optimizations
+  build: {
+    // Increase concurrency for faster builds on multi-core systems
+    concurrency: Math.max(1, os.cpus().length),
+    // Inline small stylesheets automatically
+    inlineStylesheets: 'auto'
+  },
+
+  // HTML compression
+  compressHTML: true,
+
+  // Image optimization settings
+  image: {
+    service: {
+      entrypoint: 'astro/assets/services/sharp',
+      config: {
+        // Limit input pixels to prevent memory issues with large images
+        limitInputPixels: 268402689 // ~16384x16384
+      }
+    }
+  },
+
+  // Responsive images for automatic srcset generation (now stable in Astro 5)
+  // Note: responsiveImages was moved from experimental to stable in Astro 5.x
+
+  vite: {
+    plugins: [tailwindcss()],
+    build: {
+      chunkSizeWarningLimit: 1000
+    },
+    optimizeDeps: {
+      include: ['web-vitals']
+    },
+    css: {
+      devSourcemap: false
+    }
+  }
+})

apps/hub/knowledge/concepts/3d-generation.md

@@ -0,0 +1,22 @@
+# 3D Generation
+
+3D generation creates three-dimensional models — meshes, point clouds, or multi-view images — from text or image inputs. This enables rapid prototyping of 3D assets without manual modeling. In ComfyUI, several approaches exist: image-to-3D (lifting a single photo into a mesh), text-to-3D (generating a 3D object from a description), and multi-view generation (producing consistent views of an object that can be reconstructed into 3D).
+
+## How It Works in ComfyUI
+
+- Key nodes involved: Model-specific loaders (`TripoSR`, `InstantMesh`, `StableZero123`), `LoadImage`, `Save3D` / `Preview3D`, `CRM` nodes
+- Typical workflow pattern: Load image → Load 3D model → Run inference → Preview 3D result → Export mesh
+
+## Key Settings
+
+- **Inference steps**: Number of denoising/reconstruction steps. More steps generally improve quality but increase generation time.
+- **Elevation angle**: Camera elevation for multi-view generation, controlling the vertical viewing angle of the generated views.
+- **Guidance scale**: How closely the model follows the input image or text. Higher values increase fidelity to the input but may reduce diversity.
+- **Output format**: Export format for the 3D mesh — OBJ, GLB, and PLY are common options, each suited to different downstream tools.
+
+## Tips
+
+- Clean single-object images on white or simple backgrounds work best for image-to-3D conversion.
+- Multi-view approaches (like Zero123) often produce better geometry than single-view methods.
+- Post-process generated meshes in Blender for cleanup, retopology, or texturing before production use.
+- Start with TripoSR for quick results — it generates meshes in seconds and is a good baseline to compare against other methods.

apps/hub/knowledge/concepts/_template-index.json

@@ -0,0 +1,374 @@
+{
+  "text-to-image": [
+    "01_get_started_text_to_image",
+    "api_bfl_flux2_max_sofa_swap",
+    "api_bfl_flux_1_kontext_max_image",
+    "api_bfl_flux_1_kontext_multiple_images_input",
+    "api_bfl_flux_1_kontext_pro_image",
+    "api_bfl_flux_pro_t2i",
+    "api_bytedance_seedream4",
+    "api_flux2",
+    "api_from_photo_2_miniature",
+    "api_google_gemini_image",
+    "api_grok_text_to_image",
+    "api_ideogram_v3_t2i",
+    "api_kling_omni_image",
+    "api_luma_photon_i2i",
+    "api_luma_photon_style_ref",
+    "api_nano_banana_pro",
+    "api_openai_dall_e_2_inpaint",
+    "api_openai_dall_e_2_t2i",
+    "api_openai_dall_e_3_t2i",
+    "api_openai_fashion_billboard_generator",
+    "api_openai_image_1_i2i",
+    "api_openai_image_1_inpaint",
+    "api_openai_image_1_multi_inputs",
+    "api_openai_image_1_t2i",
+    "api_recraft_image_gen_with_color_control",
+    "api_recraft_image_gen_with_style_control",
+    "api_recraft_style_reference",
+    "api_recraft_vector_gen",
+    "api_runway_reference_to_image",
+    "api_runway_text_to_image",
+    "api_stability_ai_i2i",
+    "api_stability_ai_sd3.5_i2i",
+    "api_stability_ai_sd3.5_t2i",
+    "api_stability_ai_stable_image_ultra_t2i",
+    "api_wan_text_to_image",
+    "default",
+    "flux1_dev_uso_reference_image_gen",
+    "flux1_krea_dev",
+    "flux_canny_model_example",
+    "flux_depth_lora_example",
+    "flux_dev_checkpoint_example",
+    "flux_dev_full_text_to_image",
+    "flux_fill_inpaint_example",
+    "flux_fill_outpaint_example",
+    "flux_redux_model_example",
+    "flux_schnell",
+    "flux_schnell_full_text_to_image",
+    "hidream_e1_1",
+    "hidream_e1_full",
+    "hidream_i1_dev",
+    "hidream_i1_fast",
+    "hidream_i1_full",
+    "image-qwen_image_edit_2511_lora_inflation",
+    "image_anima_preview",
+    "image_chroma1_radiance_text_to_image",
+    "image_chroma_text_to_image",
+    "image_flux2",
+    "image_flux2_fp8",
+    "image_flux2_klein_image_edit_4b_base",
+    "image_flux2_klein_image_edit_4b_distilled",
+    "image_flux2_klein_image_edit_9b_base",
+    "image_flux2_klein_image_edit_9b_distilled",
+    "image_flux2_klein_text_to_image",
+    "image_flux2_text_to_image",
+    "image_flux2_text_to_image_9b",
+    "image_kandinsky5_t2i",
+    "image_lotus_depth_v1_1",
+    "image_netayume_lumina_t2i",
+    "image_newbieimage_exp0_1-t2i",
+    "image_omnigen2_image_edit",
+    "image_omnigen2_t2i",
+    "image_ovis_text_to_image",
+    "image_qwen_Image_2512",
+    "image_qwen_image",
+    "image_qwen_image_2512_with_2steps_lora",
+    "image_qwen_image_controlnet_patch",
+    "image_qwen_image_instantx_controlnet",
+    "image_qwen_image_instantx_inpainting_controlnet",
+    "image_qwen_image_union_control_lora",
+    "image_z_image",
+    "image_z_image_turbo",
+    "image_z_image_turbo_fun_union_controlnet",
+    "sd3.5_large_blur",
+    "sd3.5_large_canny_controlnet_example",
+    "sd3.5_large_depth",
+    "sd3.5_simple_example",
+    "sdxl_refiner_prompt_example",
+    "sdxl_revision_text_prompts",
+    "sdxl_simple_example",
+    "sdxlturbo_example",
+    "templates-9grid_social_media-v2.0"
+  ],
+  "img2img": [
+    "02_qwen_Image_edit_subgraphed",
+    "api_luma_photon_i2i",
+    "api_meshy_multi_image_to_model",
+    "api_openai_image_1_i2i",
+    "api_runway_reference_to_image",
+    "api_stability_ai_i2i",
+    "api_stability_ai_sd3.5_i2i",
+    "flux1_dev_uso_reference_image_gen",
+    "flux_canny_model_example",
+    "flux_depth_lora_example",
+    "flux_fill_inpaint_example",
+    "flux_fill_outpaint_example",
+    "flux_kontext_dev_basic",
+    "flux_redux_model_example",
+    "image_chrono_edit_14B",
+    "image_qwen_image_edit",
+    "image_qwen_image_edit_2509",
+    "image_qwen_image_instantx_controlnet",
+    "image_qwen_image_instantx_inpainting_controlnet",
+    "sd3.5_large_blur",
+    "sd3.5_large_canny_controlnet_example",
+    "sd3.5_large_depth"
+  ],
+  "inpainting": [
+    "api_openai_dall_e_2_inpaint",
+    "api_openai_image_1_inpaint",
+    "api_stability_ai_audio_inpaint",
+    "flux_fill_inpaint_example",
+    "flux_fill_outpaint_example",
+    "image_flux.1_fill_dev_OneReward",
+    "image_qwen_image_instantx_inpainting_controlnet",
+    "video_wan2_2_14B_fun_inpaint",
+    "video_wan2_2_5B_fun_inpaint",
+    "video_wan_vace_inpainting",
+    "wan2.1_fun_inp"
+  ],
+  "outpainting": [
+    "api_bria_image_outpainting",
+    "flux_fill_outpaint_example",
+    "image_flux.1_fill_dev_OneReward",
+    "video_wan_vace_outpainting"
+  ],
+  "controlnet": [
+    "02_qwen_Image_edit_subgraphed",
+    "flux_canny_model_example",
+    "flux_depth_lora_example",
+    "flux_redux_model_example",
+    "image_lotus_depth_v1_1",
+    "image_qwen_image_controlnet_patch",
+    "image_qwen_image_edit_2509",
+    "image_qwen_image_instantx_controlnet",
+    "image_qwen_image_instantx_inpainting_controlnet",
+    "image_qwen_image_union_control_lora",
+    "image_z_image_turbo_fun_union_controlnet",
+    "sd3.5_large_canny_controlnet_example",
+    "sd3.5_large_depth",
+    "utility-depthAnything-v2-relative-video",
+    "utility-frame_interpolation-film",
+    "utility-lineart-video",
+    "utility-normal_crafter-video",
+    "utility-openpose-video",
+    "video_ltx2_canny_to_video",
+    "video_ltx2_depth_to_video",
+    "video_ltx2_pose_to_video",
+    "wan2.1_fun_control"
+  ],
+  "upscaling": [
+    "api_topaz_image_enhance",
+    "api_topaz_video_enhance",
+    "api_wavespeed_flshvsr_video_upscale",
+    "api_wavespped_image_upscale",
+    "api_wavespped_seedvr2_ai_image_fix",
+    "ultility_hitpaw_general_image_enhance",
+    "ultility_hitpaw_video_enhance",
+    "utility-gan_upscaler",
+    "utility-topaz_landscape_upscaler",
+    "utility_interpolation_image_upscale",
+    "utility_nanobanana_pro_ai_image_fix",
+    "utility_nanobanana_pro_illustration_upscale",
+    "utility_nanobanana_pro_product_upscale",
+    "utility_recraft_creative_image_upscale",
+    "utility_recraft_crisp_image_upscale",
+    "utility_seedvr2_image_upscale",
+    "utility_seedvr2_video_upscale",
+    "utility_topaz_illustration_upscale",
+    "utility_video_upscale"
+  ],
+  "video-generation": [
+    "03_video_wan2_2_14B_i2v_subgraphed",
+    "api_bytedace_seedance1_5_flf2v",
+    "api_bytedace_seedance1_5_image_to_video",
+    "api_bytedace_seedance1_5_text_to_video",
+    "api_bytedance_flf2v",
+    "api_bytedance_image_to_video",
+    "api_bytedance_text_to_video",
+    "api_grok_video",
+    "api_grok_video_edit",
+    "api_hailuo_minimax_i2v",
+    "api_hailuo_minimax_t2v",
+    "api_hailuo_minimax_video",
+    "api_kling2_6_i2v",
+    "api_kling2_6_t2v",
+    "api_kling_effects",
+    "api_kling_flf",
+    "api_kling_i2v",
+    "api_kling_motion_control",
+    "api_kling_omni_edit_video",
+    "api_kling_omni_i2v",
+    "api_kling_omni_t2v",
+    "api_kling_omni_v2v",
+    "api_ltxv_image_to_video",
+    "api_ltxv_text_to_video",
+    "api_luma_i2v",
+    "api_luma_t2v",
+    "api_moonvalley_image_to_video",
+    "api_moonvalley_text_to_video",
+    "api_moonvalley_video_to_video_motion_transfer",
+    "api_moonvalley_video_to_video_pose_control",
+    "api_openai_sora_video",
+    "api_pixverse_i2v",
+    "api_pixverse_t2v",
+    "api_pixverse_template_i2v",
+    "api_runway_first_last_frame",
+    "api_runway_gen3a_turbo_image_to_video",
+    "api_runway_gen4_turo_image_to_video",
+    "api_topaz_video_enhance",
+    "api_veo2_i2v",
+    "api_veo3",
+    "api_vidu_image_to_video",
+    "api_vidu_q2_flf2v",
+    "api_vidu_q2_i2v",
+    "api_vidu_q2_r2v",
+    "api_vidu_q2_t2v",
+    "api_vidu_q3_image_to_video",
+    "api_vidu_q3_text_to_video",
+    "api_vidu_reference_to_video",
+    "api_vidu_start_end_to_video",
+    "api_vidu_text_to_video",
+    "api_vidu_video_extension",
+    "api_wan2_6_i2v",
+    "api_wan2_6_t2v",
+    "api_wan_image_to_video",
+    "api_wan_r2v",
+    "api_wan_text_to_video",
+    "api_wavespeed_flshvsr_video_upscale",
+    "gsc_starter_2",
+    "hunyuan_video_text_to_video",
+    "image_to_video_wan",
+    "ltxv_image_to_video",
+    "ltxv_text_to_video",
+    "template-Animation_Trajectory_Control_Wan_ATI",
+    "templates-3D_logo_texture_animation",
+    "templates-6-key-frames",
+    "templates-car_product",
+    "templates-photo_to_product_vid",
+    "templates-sprite_sheet",
+    "templates-stitched_vid_contact_sheet",
+    "templates-textured_logo_elements",
+    "templates-textured_logotype-v2.1",
+    "text_to_video_wan",
+    "txt_to_image_to_video",
+    "ultility_hitpaw_video_enhance",
+    "utility-depthAnything-v2-relative-video",
+    "utility-frame_interpolation-film",
+    "utility-gan_upscaler",
+    "utility-lineart-video",
+    "utility-normal_crafter-video",
+    "utility-openpose-video",
+    "utility_seedvr2_video_upscale",
+    "utility_video_upscale",
+    "video-wan21_scail",
+    "video_humo",
+    "video_hunyuan_video_1.5_720p_i2v",
+    "video_hunyuan_video_1.5_720p_t2v",
+    "video_kandinsky5_i2v",
+    "video_kandinsky5_t2v",
+    "video_ltx2_canny_to_video",
+    "video_ltx2_depth_to_video",
+    "video_ltx2_i2v",
+    "video_ltx2_i2v_distilled",
+    "video_ltx2_pose_to_video",
+    "video_ltx2_t2v",
+    "video_ltx2_t2v_distilled",
+    "video_wan2.1_alpha_t2v_14B",
+    "video_wan2.1_fun_camera_v1.1_1.3B",
+    "video_wan2.1_fun_camera_v1.1_14B",
+    "video_wan2_1_infinitetalk",
+    "video_wan2_2_14B_animate",
+    "video_wan2_2_14B_flf2v",
+    "video_wan2_2_14B_fun_camera",
+    "video_wan2_2_14B_fun_control",
+    "video_wan2_2_14B_fun_inpaint",
+    "video_wan2_2_14B_i2v",
+    "video_wan2_2_14B_s2v",
+    "video_wan2_2_14B_t2v",
+    "video_wan2_2_5B_fun_control",
+    "video_wan2_2_5B_fun_inpaint",
+    "video_wan2_2_5B_ti2v",
+    "video_wan_ati",
+    "video_wan_vace_14B_ref2v",
+    "video_wan_vace_14B_t2v",
+    "video_wan_vace_14B_v2v",
+    "video_wan_vace_flf2v",
+    "video_wan_vace_inpainting",
+    "video_wan_vace_outpainting",
+    "video_wanmove_480p",
+    "video_wanmove_480p_hallucination",
+    "wan2.1_flf2v_720_f16",
+    "wan2.1_fun_control",
+    "wan2.1_fun_inp"
+  ],
+  "audio-generation": [
+    "05_audio_ace_step_1_t2a_song_subgraphed",
+    "api_kling2_6_i2v",
+    "api_kling2_6_t2v",
+    "api_stability_ai_audio_inpaint",
+    "api_stability_ai_audio_to_audio",
+    "api_stability_ai_text_to_audio",
+    "api_vidu_q3_image_to_video",
+    "api_vidu_q3_text_to_video",
+    "audio-chatterbox_tts",
+    "audio-chatterbox_tts_dialog",
+    "audio-chatterbox_tts_multilingual",
+    "audio-chatterbox_vc",
+    "audio_ace_step_1_5_checkpoint",
+    "audio_ace_step_1_5_split",
+    "audio_ace_step_1_5_split_4b",
+    "audio_ace_step_1_m2m_editing",
+    "audio_ace_step_1_t2a_instrumentals",
+    "audio_ace_step_1_t2a_song",
+    "audio_stable_audio_example",
+    "utility-audioseparation",
+    "video_wan2_1_infinitetalk",
+    "video_wan2_2_14B_s2v"
+  ],
+  "3d-generation": [
+    "04_hunyuan_3d_2.1_subgraphed",
+    "3d_hunyuan3d-v2.1",
+    "3d_hunyuan3d_image_to_model",
+    "3d_hunyuan3d_multiview_to_model",
+    "3d_hunyuan3d_multiview_to_model_turbo",
+    "api_from_photo_2_miniature",
+    "api_hunyuan3d_image_to_model",
+    "api_hunyuan3d_text_to_model",
+    "api_meshy_image_to_model",
+    "api_meshy_multi_image_to_model",
+    "api_meshy_text_to_model",
+    "api_rodin_gen2",
+    "api_rodin_image_to_model",
+    "api_rodin_multiview_to_model",
+    "api_tripo3_0_image_to_model",
+    "api_tripo3_0_text_to_model",
+    "api_tripo_image_to_model",
+    "api_tripo_multiview_to_model",
+    "api_tripo_text_to_model",
+    "templates-3D_logo_texture_animation",
+    "templates-qwen_multiangle"
+  ],
+  "lora": [
+    "flux_depth_lora_example",
+    "image-qwen_image_edit_2511_lora_inflation",
+    "image_qwen_image_2512_with_2steps_lora",
+    "image_qwen_image_union_control_lora"
+  ],
+  "embeddings": [],
+  "ip-adapter": [
+    "api_kling_omni_i2v",
+    "api_kling_omni_image",
+    "api_kling_omni_v2v",
+    "api_magnific_image_style_transfer",
+    "api_recraft_style_reference",
+    "api_vidu_q2_r2v",
+    "api_wan_r2v",
+    "templates-product_ad-v2.0"
+  ],
+  "samplers": [],
+  "cfg": [],
+  "vae": []
+}

apps/hub/knowledge/concepts/audio-generation.md

@@ -0,0 +1,22 @@
+# Audio Generation
+
+Audio generation in ComfyUI covers creating speech (text-to-speech), music, and sound effects from text prompts or reference audio. Dedicated audio models run within ComfyUI's node graph, letting you integrate audio creation into larger multimedia workflows — for example, generating a video and its soundtrack in a single pipeline.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: Model-specific nodes (`CosyVoice` nodes for TTS, `StableAudio` nodes for music/SFX), audio preview and save nodes, `AudioScheduler`
+- Typical workflow pattern: Load audio model → Provide text/reference input → Generate audio → Preview/save audio
+
+## Key Settings
+
+- **Sample rate**: Output audio quality, typically 24000–48000 Hz. Higher rates capture more detail but produce larger files.
+- **Duration**: Length of generated audio in seconds. Longer durations may reduce quality or coherence depending on the model.
+- **Voice reference**: For voice cloning, a short audio clip of the target voice (3–10 seconds of clean speech works best).
+- **Text input**: The text to be spoken (TTS) or the description of the desired audio (music/SFX generation).
+
+## Tips
+
+- CosyVoice and F5-TTS are popular choices for text-to-speech in ComfyUI, each with dedicated custom nodes.
+- Stable Audio Open handles music and sound effect generation from text descriptions.
+- Use clean, noise-free reference audio clips for voice cloning to get the best results.
+- Keep text inputs short and well-punctuated for the highest quality speech output — long paragraphs may degrade in naturalness.

apps/hub/knowledge/concepts/cfg.md

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+# CFG / Guidance Scale
+
+Classifier-Free Guidance (CFG) controls how strongly the model follows your text prompt versus generating freely. Higher CFG values produce outputs that adhere more closely to the prompt but can cause oversaturation and artifacts, while lower values yield more natural-looking images at the cost of reduced prompt control. Finding the right balance is essential for every workflow.
+
+## How It Works in ComfyUI
+
+- Key nodes: `KSampler` (the `cfg` parameter), `ModelSamplingDiscrete` (for advanced noise schedule configurations)
+- During each sampling step, the model generates both a conditioned prediction (with your prompt) and an unconditioned prediction (without it). CFG scales the difference between the two — higher values push the output further toward the conditioned prediction, amplifying prompt influence.
+
+## Key Settings
+
+- **cfg** (1.0–30.0): The guidance scale value. Recommended ranges vary by model architecture:
+  - SD 1.5 / SDXL: 7–8 is the standard starting point
+  - Flux: 1.0–4.0 (Flux uses much lower guidance)
+  - Video models (e.g., Wan, HunyuanVideo): 3.5–5.0
+
+## Tips
+
+- Start at 7 for SD-based models and 3.5 for Flux, then adjust based on results
+- Values above ~12 for SD models typically cause color oversaturation, harsh contrast, and visible artifacts
+- Values below ~3 for SD models tend to produce blurry or incoherent results
+- Some models like Flux Schnell use a guidance embedding baked into the model rather than traditional CFG — for these, the `cfg` parameter may have little or no effect
+- When experimenting, change CFG in increments of 0.5–1.0 to see its impact clearly

apps/hub/knowledge/concepts/controlnet.md

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+# ControlNet
+
+ControlNet guides image generation using structural conditions extracted from reference images — such as edge maps, depth information, or human poses. Instead of relying solely on text prompts for composition, ControlNet lets you specify the spatial layout precisely. This bridges the gap between text-to-image flexibility and the structural precision needed for professional workflows.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `ControlNetLoader`, `ControlNetApplyAdvanced`, preprocessor nodes (`CannyEdgePreprocessor`, `DepthAnythingPreprocessor`, `DWPosePreprocessor`, `LineartPreprocessor`)
+- Typical workflow pattern: Load reference image → preprocess to extract condition (edges/depth/pose) → load ControlNet model → apply condition to sampling → generate image with structural guidance
+
+## ControlNet Types
+
+- **Canny**: Detects edges to preserve outlines and shapes
+- **Depth**: Captures spatial depth for accurate foreground/background placement
+- **OpenPose**: Extracts human body and hand poses for character positioning
+- **Normal Map**: Encodes surface orientation for consistent lighting and geometry
+- **Lineart**: Follows line drawings and illustrations as generation guides
+- **Scribble**: Uses rough sketches as loose compositional guides
+
+## Key Settings
+
+- **Strength**: Controls how strongly the condition guides generation (0.0–1.0). Values of 0.5–1.0 are typical. Higher values enforce the structure more rigidly; lower values allow the model more creative freedom.
+- **start_percent / end_percent**: Controls when the ControlNet activates during the sampling process. Starting at 0.0 and ending at 1.0 applies guidance throughout. Ending earlier (e.g., 0.8) lets the model refine fine details freely in final steps.
+
+## Tips
+
+- Always preprocess your input image with the appropriate preprocessor node before feeding it to ControlNet. Raw images will not produce correct conditioning.
+- Combine multiple ControlNets for precise control — for example, Depth for spatial layout plus OpenPose for character positioning. Stack them by chaining `ControlNetApplyAdvanced` nodes.
+- If your generation looks distorted or overcooked, lower the ControlNet strength. Values above 0.8 can fight with the text prompt and produce artifacts.

apps/hub/knowledge/concepts/embeddings.md

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+# Textual Embeddings
+
+Textual embeddings are learned text representations that encode specific concepts, styles, or objects into the CLIP text encoder's vocabulary. These tiny files (~10–100 KB) effectively add new "words" to your prompt vocabulary, letting you reference complex visual concepts — a particular art style, a specific character, or a set of undesirable artifacts — with a single token. Because they operate at the text-encoding level, embeddings integrate seamlessly with your existing prompts and require no changes to the model itself.
+
+## How It Works in ComfyUI
+
+- Key nodes: `CLIPTextEncode` — reference embeddings directly in your prompt text using the syntax `embedding:name_of_embedding`
+- Typical workflow pattern: Place embedding files in `ComfyUI/models/embeddings/` → type `embedding:name_of_embedding` inside your positive or negative prompt in a `CLIPTextEncode` node → connect to sampler as usual
+
+## Key Settings
+
+- **Prompt weighting**: Embeddings have no dedicated strength slider, but you can adjust their influence with prompt weighting syntax, e.g., `(embedding:name_of_embedding:1.2)` to increase strength or `(embedding:name_of_embedding:0.6)` to soften it
+- **Placement**: Add embeddings to the negative prompt to suppress unwanted features, or to the positive prompt to invoke a learned concept
+
+## Tips
+
+- Embeddings are commonly used in negative prompts (e.g., `embedding:EasyNegative`, `embedding:bad-hands-5`) to reduce common artifacts like malformed hands or distorted faces
+- Make sure the embedding matches your base model version — an SD 1.5 embedding will not work correctly with an SDXL checkpoint
+- You can combine multiple embeddings with regular text in the same prompt for fine-grained control

apps/hub/knowledge/concepts/img2img.md

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+# Image-to-Image
+
+Image-to-image (img2img) transforms an existing image using a text prompt while preserving the original structure and composition. Instead of starting from pure noise, the source image is encoded into latent space and partially noised, then the sampler denoises it guided by your prompt. This lets you restyle photos, refine AI-generated images, or apply creative modifications while keeping the overall layout intact.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `LoadImage`, `VAEEncode`, `CLIPTextEncode` (positive + negative), `KSampler`, `VAEDecode`, `SaveImage`
+- Typical workflow pattern: Load source image → encode to latent with VAE → encode text prompts → sample with partial denoise → decode latent to image → save
+
+## Key Settings
+
+- **Denoise Strength**: The most important setting, ranging from 0.0 to 1.0. Lower values (0.2–0.4) preserve more of the original image with subtle changes. Higher values (0.6–0.8) allow more creative freedom but deviate further from the source. A value of 1.0 effectively ignores the input image entirely.
+- **Steps**: Number of sampling steps. 20–30 is typical. Fewer steps may be sufficient at low denoise values since less transformation is needed.
+- **CFG Scale**: Controls prompt adherence, same as text-to-image. 7–8 is a standard starting point.
+
+## Tips
+
+- Start with a denoise strength of 0.5 and adjust up or down based on how much change you want. This gives a balanced mix of original structure and new content.
+- Your input image resolution should match the model's training resolution. Resize or crop your source image to 512×512 (SD 1.5) or 1024×1024 (SDXL) before loading to avoid quality issues.
+- Use img2img iteratively: generate an initial text-to-image result, then refine it with img2img at low denoise to fix details without losing the overall composition.

apps/hub/knowledge/concepts/inpainting.md

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+# Inpainting
+
+Inpainting selectively regenerates parts of an image using a mask while leaving the rest untouched. You paint a mask over the area you want to change, provide a text prompt describing the desired replacement, and the model fills in only the masked region. This is essential for fixing defects, replacing objects, or refining specific details in an otherwise finished image.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `LoadImage`, `VAEEncodeForInpainting`, `CLIPTextEncode` (positive + negative), `KSampler`, `VAEDecode`, `SaveImage`
+- Typical workflow pattern: Load image + mask → encode with inpainting-aware VAE node → encode text prompts → sample → decode → save
+- The mask can be created using ComfyUI's built-in mask editor or loaded from an external image
+
+## Key Settings
+
+- **grow_mask_by**: Expands the mask by a number of pixels, helping the regenerated area blend smoothly with the surrounding image. 6–8 pixels is typical. Too little causes visible seams; too much affects areas you wanted to keep.
+- **Denoise Strength**: For inpainting, higher values (0.7–1.0) generally work best since you want the masked region to be fully regenerated. Lower values may produce inconsistent blending.
+- **Checkpoint**: Dedicated inpainting models like `512-inpainting-ema` produce significantly better edge blending than standard checkpoints.
+
+## Tips
+
+- Always expand your mask slightly beyond the target area. Tight masks create hard edges that look unnatural against the surrounding image.
+- Describe what you want to appear in the masked region, not what you want to remove. For example, prompt "a clear blue sky" rather than "remove the bird."
+- Use inpainting-specific checkpoints whenever possible. Standard models can inpaint but often struggle with seamless blending at mask boundaries.

apps/hub/knowledge/concepts/ip-adapter.md

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+# IP-Adapter
+
+IP-Adapter (Image Prompt Adapter) uses reference images to guide generation style, composition, or subject instead of — or alongside — text prompts. Rather than describing what you want in words, you show the model an image, enabling "image prompting." This is especially powerful for transferring artistic style, maintaining character consistency across generations, or conveying visual concepts that are difficult to express in text.
+
+## How It Works in ComfyUI
+
+- Key nodes: `IPAdapterModelLoader`, `IPAdapterApply` (or `IPAdapterAdvanced`), `CLIPVisionLoader`, `CLIPVisionEncode`, `PrepImageForClipVision`
+- Typical workflow pattern: Load IP-Adapter model + CLIP Vision model → prepare and encode reference image → apply adapter to the main model → connect to sampler → decode
+
+## Key Settings
+
+- **weight** (0.0–1.0): Controls the influence of the reference image on the output. A range of 0.5–0.8 is typical; higher values make the output closer to the reference
+- **weight_type**: Determines how the reference is interpreted — `standard` for general use, `style transfer` for artistic style without copying content, `composition` for layout guidance
+- **start_at / end_at** (0.0–1.0): Controls when the adapter is active during sampling. Limiting the range (e.g., 0.0–0.8) can improve prompt responsiveness while retaining reference influence
+
+## Tips
+
+- Use the `style_transfer` weight type when you want to borrow an artistic style without reproducing the reference image's content
+- Combine IP-Adapter with a text prompt for the best results — the text adds detail and specificity on top of the visual guidance
+- Face-specific IP-Adapter models (e.g., `ip-adapter-faceid`) exist for portrait consistency across multiple generations
+- Lower the weight if your output looks too similar to the reference image

apps/hub/knowledge/concepts/lora.md

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+# LoRA
+
+LoRA (Low-Rank Adaptation) is a technique for fine-tuning a base model's behavior using a small add-on file rather than retraining the entire model. LoRAs adjust a model's style, teach it specific subjects, or introduce new concepts — all in a file typically just 10–200 MB, compared to multi-gigabyte full checkpoints. This makes them easy to share, swap, and combine. In ComfyUI, you load LoRAs on top of a checkpoint and control how strongly they influence the output.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `LoraLoader` (loads one LoRA and applies it to both MODEL and CLIP), `LoraLoaderModelOnly` (applies to MODEL only, skipping CLIP for faster loading)
+- Typical workflow pattern: Load checkpoint → LoraLoader (attach LoRA) → CLIP Text Encode → KSampler → VAE Decode. Chain multiple `LoraLoader` nodes to stack LoRAs.
+
+## Key Settings
+
+- **strength_model**: Controls how much the LoRA affects the diffusion model. Range 0.0–1.0; typical values are 0.6–1.0. Higher values apply the LoRA effect more strongly.
+- **strength_clip**: Controls how much the LoRA affects text encoding. Usually set to the same value as strength_model, but can be adjusted independently for fine control.
+
+## Tips
+
+- Start with strength 0.7 and adjust up or down based on results — too high can cause oversaturation or artifacts.
+- Stacking too many LoRAs simultaneously can cause visual artifacts or conflicting styles; two or three is usually a safe limit.
+- Ensure the LoRA matches your base model architecture — SD 1.5 LoRAs will not work with SDXL checkpoints, and vice versa.
+- Many LoRAs require specific trigger words in your prompt to activate; always check the LoRA's documentation or model card.

apps/hub/knowledge/concepts/outpainting.md

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+# Outpainting
+
+Outpainting extends an image beyond its original borders, generating new content that seamlessly continues the existing scene. Unlike inpainting which replaces content within an image, outpainting adds content outside the frame — expanding the canvas in any direction. This is useful for changing aspect ratios, adding environmental context, or creating panoramic compositions from a single image.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `LoadImage`, `ImagePadForOutpaint`, `VAEEncodeForInpainting`, `CLIPTextEncode` (positive + negative), `KSampler`, `VAEDecode`, `SaveImage`
+- Typical workflow pattern: Load image → pad image with transparent/noised borders → encode with inpainting VAE node (padded area becomes the mask) → encode text prompts → sample → decode → save
+
+## Key Settings
+
+- **Padding Pixels**: The number of pixels to extend on each side, typically 64–256. Smaller increments produce more coherent results since the model has more context relative to the new area.
+- **Denoise Strength**: Use high values (0.8–1.0) for outpainted regions since the padded area is essentially blank and needs full generation.
+- **Feathering**: Controls the gradient blend between the original image and the new content. Higher feathering values create smoother transitions and reduce visible seams.
+
+## Tips
+
+- Outpaint in stages rather than all at once. Extending by 128 pixels at a time and iterating produces far more coherent results than trying to add 512 pixels in a single pass.
+- Use a lower CFG scale (5–6) for outpainting. This allows the model to generate more natural, context-aware extensions rather than forcing strict prompt adherence that may clash with the existing image.
+- Include scene context in your prompt that matches the original image. If the source shows an indoor room, describe the room's style and lighting so the extension feels continuous.

apps/hub/knowledge/concepts/samplers.md

@@ -0,0 +1,21 @@
+# Samplers & Schedulers
+
+Samplers are the algorithms that iteratively denoise a random latent into a coherent image, while schedulers control the noise schedule — how much noise is removed at each step. Together they determine the image's quality, speed, and visual character. Choosing the right combination is one of the most impactful decisions in any generation workflow.
+
+## How It Works in ComfyUI
+
+- Key nodes: `KSampler` (main sampling node), `KSamplerAdvanced` (provides control over start/end steps for multi-pass workflows)
+- Typical workflow pattern: Load model → connect conditioning → configure sampler/scheduler/steps → sample → decode
+
+## Key Settings
+
+- **sampler_name**: The denoising algorithm. Common choices include `euler` (fast, good baseline), `euler_ancestral` (more creative variation), `dpmpp_2m` (balanced quality and speed), `dpmpp_2m_sde` (high quality, slightly slower), `dpmpp_3m_sde` (very high quality), and `uni_pc` (fast convergence)
+- **scheduler**: Controls the noise reduction curve. `normal` is linear, `karras` front-loads noise reduction for better detail, `exponential` and `sgm_uniform` (recommended for SDXL) are also available
+- **steps** (1–100): Number of denoising iterations. 20–30 is typical; more steps give diminishing returns. Flux and LCM models need far fewer (4–8 steps)
+
+## Tips
+
+- `euler` + `normal` is the safest starting combination for any model
+- `dpmpp_2m` + `karras` is a popular choice when you want higher quality with minimal speed cost
+- Ancestral samplers (`euler_ancestral`, any `_sde` variant) produce different results each run even with the same seed — useful for exploration, but not for reproducibility
+- Flux and LCM models converge much faster; using 20+ steps with them wastes time without improving quality

apps/hub/knowledge/concepts/text-to-image.md

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+# Text-to-Image Generation
+
+Text-to-image is the foundational workflow in ComfyUI: you provide a text description (prompt) and the system generates an image from scratch. This is the starting point for most generative AI art. A diffusion model iteratively denoises a random latent image, guided by your text prompt encoded through CLIP, to produce a coherent image matching your description.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `CheckpointLoaderSimple`, `CLIPTextEncode` (positive + negative), `EmptyLatentImage`, `KSampler`, `VAEDecode`, `SaveImage`
+- Typical workflow pattern: Load checkpoint → encode text prompts → create empty latent → sample → decode latent to image → save
+
+## Key Settings
+
+- **Resolution**: Must match the model's training resolution. Use 512×512 for SD 1.5, 1024×1024 for SDXL and Flux models. Mismatched resolutions produce artifacts like duplicated limbs or distorted compositions.
+- **Steps**: Number of denoising iterations. 20–30 steps is a good balance between quality and speed. More steps refine details but with diminishing returns beyond 30.
+- **CFG Scale**: Controls how strongly the sampler follows your prompt. 7–8 is the typical range. Higher values increase prompt adherence but can introduce oversaturation or artifacts.
+- **Seed**: Determines the initial random noise. A fixed seed produces reproducible results, which is useful for iterating on prompts while keeping composition consistent.
+
+## Tips
+
+- Start with simple, descriptive prompts before adding stylistic modifiers. Complex prompts can conflict and produce muddy results.
+- Use the negative prompt `CLIPTextEncode` to specify what you want to avoid (e.g., "blurry, low quality, deformed hands") — this significantly improves output quality.
+- Always match your `EmptyLatentImage` resolution to the model you loaded. A 768×768 image on an SD 1.5 checkpoint will produce noticeably worse results than 512×512.

apps/hub/knowledge/concepts/upscaling.md

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+# Upscaling
+
+Upscaling increases image resolution while adding detail, turning a small generated image into a large, sharp result. In ComfyUI, there are two main approaches: model-based upscaling, which uses trained AI models (like RealESRGAN or 4x-UltraSharp) to intelligently enlarge an image in one pass, and latent-based upscaling, which works in latent space with a KSampler to add new detail during the enlargement process. Model-based is faster, while latent-based offers more creative control.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: `UpscaleModelLoader`, `ImageUpscaleWithModel`, `ImageScaleBy`, `LatentUpscale`, `VAEDecodeTiled`
+- Typical workflow pattern: Generate image → Upscale model loader → ImageUpscaleWithModel → Save image (model-based), or Generate latent → LatentUpscale → KSampler (lower denoise) → VAEDecode → Save image (latent-based)
+
+## Key Settings
+
+- **Upscale model**: The AI model used for model-based upscaling. `RealESRGAN_x4plus` is a reliable general-purpose choice; `4x-UltraSharp` excels at photo-realistic detail.
+- **Scale factor**: How much to enlarge — 2x and 4x are typical. Higher factors increase VRAM usage significantly.
+- **tile_size**: For tiled decoding/encoding of very large images. Range 512–1024; smaller tiles use less VRAM but take longer.
+
+## Tips
+
+- Model-based upscaling is faster but less creative; latent upscaling paired with a KSampler adds genuinely new detail.
+- Use `VAEDecodeTiled` for very large images to avoid out-of-memory errors.
+- Chain two 2x upscales instead of one 4x for better overall quality.
+- When using latent upscaling, set KSampler denoise to 0.3–0.5 to add detail without changing the composition.

apps/hub/knowledge/concepts/vae.md

@@ -0,0 +1,20 @@
+# VAE (Variational Autoencoder)
+
+The VAE encodes pixel images into a compact latent representation and decodes latents back into pixel images. All diffusion in Stable Diffusion and Flux happens in latent space — the VAE is the bridge between the images you see and the mathematical space where the model actually works. Every generation workflow ends with a VAE decode step to produce a viewable image.
+
+## How It Works in ComfyUI
+
+- Key nodes: `VAEDecode` (latent → image), `VAEEncode` (image → latent), `VAEDecodeTiled` (for large images to avoid out-of-memory errors), `VAELoader` (load a standalone VAE file)
+- Typical workflow pattern: Most checkpoints include a built-in VAE, so the `VAEDecode` node can pull directly from the loaded checkpoint. To use a different VAE, add a `VAELoader` node and connect it to `VAEDecode` instead.
+
+## Key Settings
+
+- **tile_size** (for `VAEDecodeTiled`): Size of each tile when decoding in chunks. Default is 512; reduce if you still encounter memory issues
+- **VAE choice**: VAE files are model-specific. Use `sdxl_vae.safetensors` for SDXL, `ae.safetensors` for Flux. Place files in `ComfyUI/models/vae/`
+
+## Tips
+
+- If colors look washed out or slightly off, try loading an external VAE — the VAE baked into a checkpoint is not always optimal, especially for community fine-tunes
+- Use `VAEDecodeTiled` for images larger than ~2048 px on either side to prevent out-of-memory crashes
+- SDXL and Flux each have their own VAE architecture — using the wrong one will produce corrupted output
+- When doing img2img or inpainting, the `VAEEncode` node converts your input image into the latent space the model expects

apps/hub/knowledge/concepts/video-generation.md

@@ -0,0 +1,22 @@
+# Video Generation
+
+Video generation creates video content from text prompts (T2V), reference images (I2V), or existing video (V2V) using specialized video diffusion models. Unlike image generation, video models must maintain temporal coherence across frames, ensuring smooth motion and consistent subjects. ComfyUI supports several leading open-source video models including WAN 2.1 and HunyuanVideo, each with their own loader and latent nodes.
+
+## How It Works in ComfyUI
+
+- Key nodes involved: Model-specific loaders (e.g. `WAN` video nodes, `HunyuanVideo` nodes, `LTXVLoader`), `EmptyHunyuanLatentVideo` / `EmptyLTXVLatentVideo`, `KSampler`, `VHS_VideoCombine` (from Video Helper Suite)
+- Typical workflow pattern: Load video model → Create empty video latent → KSampler (with video-aware scheduling) → VAE decode → VHS_VideoCombine → Save video
+
+## Key Settings
+
+- **Frame count**: Number of frames to generate. Typically 16–81 frames depending on the model; more frames require more VRAM and time.
+- **Resolution**: Often 512×320 or 848×480 for T2V. Higher resolutions need significantly more resources.
+- **FPS**: Frames per second for output, typically 8–24. Higher FPS gives smoother motion but requires more frames for the same duration.
+- **Motion scale/strength**: Controls the amount of movement in the generated video. Lower values produce subtle motion; higher values produce more dynamic scenes.
+
+## Tips
+
+- Start with fewer frames and lower resolution to test your prompt and settings before committing to a full-quality render.
+- Image-to-video (I2V) typically gives better coherence than text-to-video (T2V) because the model has a visual anchor.
+- Video Helper Suite (VHS) nodes are essential for loading, previewing, and saving video — install this custom node pack first.
+- WAN 2.1 and HunyuanVideo are currently the leading open models for quality video generation in ComfyUI.

apps/hub/knowledge/models/_aliases.json

@@ -0,0 +1,88 @@
+{
+  "Wan": "wan",
+  "Wan2.1": "wan",
+  "Wan2.2": "wan",
+  "Wan2.5": "wan",
+  "Wan2.6": "wan",
+  "Wan-Move": "wan",
+  "Motion Control": "wan",
+  "Flux": "flux",
+  "Flux.2": "flux",
+  "Flux.2 Dev": "flux",
+  "Flux.2 Klein": "flux",
+  "Kontext": "flux",
+  "BFL": "flux",
+  "SDXL": "sdxl",
+  "SD1.5": "sdxl",
+  "Stability": "sdxl",
+  "Reimagine": "sdxl",
+  "SD3.5": "sd3-5",
+  "SVD": "svd",
+  "Stable Audio": "stable-audio",
+  "Google": "gemini",
+  "Google Gemini": "gemini",
+  "Google Gemini Image": "gemini",
+  "Gemini3 Pro Image Preview": "gemini",
+  "Gemini-2.5-Flash": "gemini",
+  "Veo": "veo",
+  "Nano Banana Pro": "nano-banana-pro",
+  "nano-banana": "nano-banana-pro",
+  "OpenAI": "gpt-image-1",
+  "GPT-Image-1": "gpt-image-1",
+  "GPT-Image-1.5": "gpt-image-1",
+  "Qwen": "qwen",
+  "Qwen-Image": "qwen",
+  "Qwen-Image-Edit": "qwen",
+  "Qwen-Image-Layered": "qwen",
+  "Qwen-Image 2512": "qwen",
+  "Hunyuan Video": "hunyuan",
+  "Hunyuan3D": "hunyuan",
+  "Tencent": "hunyuan",
+  "LTX-2": "ltx-video",
+  "LTXV": "ltx-video",
+  "Lightricks": "ltx-video",
+  "ByteDance": "seedance",
+  "Seedance": "seedance",
+  "Seedream": "seedream",
+  "Seedream 4.0": "seedream",
+  "SeedVR2": "seedvr2",
+  "Vidu": "vidu",
+  "Vidu Q2": "vidu",
+  "Vidu Q3": "vidu",
+  "Kling": "kling",
+  "Kling O1": "kling",
+  "Kling2.6": "kling",
+  "ACE-Step": "ace-step",
+  "Chatter Box": "chatterbox",
+  "Recraft": "recraft",
+  "Runway": "runway",
+  "Luma": "luma",
+  "HiDream": "hidream",
+  "Tripo": "tripo",
+  "MiniMax": "minimax",
+  "Z-Image-Turbo": "z-image",
+  "Z-Image": "z-image",
+  "Grok": "grok",
+  "Moonvalley": "moonvalley",
+  "Topaz": "topaz",
+  "Kandinsky": "kandinsky",
+  "OmniGen": "omnigen",
+  "Magnific": "magnific",
+  "PixVerse": "pixverse",
+  "Meshy": "meshy",
+  "Rodin": "rodin",
+  "WaveSpeed": "wavespeed",
+  "Chroma": "chroma",
+  "BRIA": "bria",
+  "HitPaw": "hitpaw",
+  "NewBie": "newbie",
+  "Ovis-Image": "ovis-image",
+  "Ideogram": "ideogram",
+  "Anima": "anima",
+  "ChronoEdit": "chronoedit",
+  "Nvidia": "chronoedit",
+  "HuMo": "humo",
+  "FlashVSR": "flashvsr",
+  "Real-ESRGAN": "real-esrgan",
+  "Depth Anything\u00a0v2": "depth-anything-v2"
+}

apps/hub/knowledge/models/ace-step.md

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+# ACE-Step
+
+ACE-Step is a foundation model for music generation developed by ACE Studio and StepFun. It uses diffusion-based generation with a Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer to achieve state-of-the-art speed and musical coherence.
+
+## Model Variants
+
+### ACE-Step (3.5B)
+
+- 3.5B parameter diffusion model
+- DCAE encoder with linear transformer conditioning
+- 27 or 60 inference steps recommended
+- Apache 2.0 license
+
+## Key Features
+
+- 15x faster than LLM-based baselines (20 seconds for a 4-minute song on A100)
+- Full-song generation with lyrics and structure
+- Duration control for variable-length output
+- Music remixing and style transfer
+- Lyrics editing and vocal synthesis
+- Supports 16+ languages including English, Chinese, Japanese, Korean, French, German, Spanish, and more
+- Text-to-music from natural language descriptions
+
+## Hardware Requirements
+
+- RTX 3090: 12.76x real-time factor at 27 steps
+- RTX 4090: 34.48x real-time factor at 27 steps
+- NVIDIA A100: 27.27x real-time factor at 27 steps
+- Apple M2 Max: 2.27x real-time factor at 27 steps
+- Higher step counts (60) reduce speed by roughly half
+
+## Common Use Cases
+
+- Original music generation from text descriptions
+- Song remixing and style transfer
+- Lyrics-based music creation
+- Multi-language vocal music generation
+- Rapid music prototyping for content creators
+- Background music and soundtrack generation
+
+## Key Parameters
+
+- **steps**: Inference steps (27 for speed, 60 for quality)
+- **duration**: Target audio length in seconds (up to ~5 minutes)
+- **lyrics**: Song lyrics text input for vocal generation
+- **prompt**: Natural language description of desired music style and mood
+- **seed**: Random seed for reproducible generation (results are seed-sensitive)

apps/hub/knowledge/models/anima.md

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+# Anima
+
+Anima is an API-based AI video generation platform that creates animated video content from text prompts, supporting character consistency and storyboard-driven workflows.
+
+## Model Variants
+
+### Anima Video Generation
+
+- Cloud-based video generation service
+- Supports multiple underlying AI models (Runway, Kling, Minimax, Luma)
+- Integrated text, image, and audio generation pipeline
+
+## Key Features
+
+- AI character generation with persistent identity across scenes
+- Storyboard-based workflow: script to visual scenes with narration
+- Multi-model integration (GPT-4, Claude, Gemini for text; FLUX, MidJourney for images)
+- Voice generation via ElevenLabs integration
+- Music composition via Suno integration
+- Autopilot mode for fully automated video creation
+- Prompt enhancement for optimized output quality
+- Template library for rapid content creation
+- Scene-by-scene generation with character consistency
+
+## Hardware Requirements
+
+- No local hardware required (cloud-based service)
+- Runs entirely through web API
+- Browser-based interface for interactive use
+
+## Common Use Cases
+
+- Animated story series production
+- Movie trailer and concept video creation
+- Kids bedtime story animation
+- Lofi music video generation
+- Marketing and explainer video content
+- Storyboard visualization
+
+## Key Parameters
+
+- **prompt**: Text description of the scene or story
+- **character**: Selected or generated character for identity consistency
+- **style**: Visual style preset (animation, cinematic, etc.)
+- **duration**: Target video length
+- **resolution**: Output video resolution

apps/hub/knowledge/models/bria.md

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+# BRIA AI
+
+BRIA AI is an enterprise-focused visual generative AI platform that trains its models exclusively on licensed, ethically sourced data, ensuring commercially safe outputs with full IP indemnification.
+
+## Model Variants
+
+### BRIA Fibo
+
+- Flagship hyper-controllable text-to-image model
+- JSON-based control framework with 100+ disentangled visual attributes
+- Supports lighting, depth, color, composition, and camera control
+- Ideal for agentic workflows and enterprise-scale creative automation
+
+### BRIA Text-to-Image Lite
+
+- Fully private, self-hosted deployment of the Fibo pipeline
+- Designed for regulated industries requiring total data control
+- Runs on-premises with no external data transfer
+
+## Key Features
+
+- Trained on 100% licensed data from 20+ partners including Getty Images
+- Full IP indemnification for commercial use
+- Tri-layer content moderation for brand-safe outputs
+- Patented attribution engine compensating data owners by usage
+- ControlNet support for canny, depth, recoloring, and IP Adapter
+- Multilingual prompt support
+- Fine-tuning API for brand-specific customization
+
+## Hardware Requirements
+
+- Cloud-hosted API available (no local GPU required)
+- Self-hosted Lite version supports deployment on AWS and Azure
+- Open-source weights available on Hugging Face for local inference
+
+## Common Use Cases
+
+- Enterprise marketing and advertising content
+- E-commerce product photography
+- Brand-consistent visual asset generation
+- Storyboarding and concept art for media production
+
+## Key Parameters
+
+- **prompt**: Text description of desired image
+- **style**: Photorealistic, illustrative, or custom styles
+- **guidance_methods**: ControlNet canny, depth, recoloring, IP Adapter
+- **resolution**: Multiple aspect ratios supported

apps/hub/knowledge/models/chatterbox.md

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+# Chatterbox
+
+Chatterbox is a family of state-of-the-art open-source text-to-speech models developed by Resemble AI, featuring zero-shot voice cloning and emotion control.
+
+## Model Variants
+
+### Chatterbox Turbo
+
+- 350M parameters, single-step mel decoding for low latency
+- Paralinguistic tags for non-speech sounds ([laugh], [cough], [chuckle])
+- English only, optimized for voice agents and production use
+
+### Chatterbox (Original)
+
+- 500M parameter Llama backbone, English only
+- CFG and exaggeration control for emotion intensity
+
+### Chatterbox Multilingual
+
+- 500M parameters, 23 languages (Arabic, Chinese, French, German, Hindi, Japanese, Korean, Spanish, and more)
+- Zero-shot voice cloning across languages
+
+## Key Features
+
+- Zero-shot voice cloning from a few seconds of reference audio
+- Emotion exaggeration control (first open-source model with this feature)
+- Built-in PerTh neural watermarking for responsible AI
+- Sub-200ms latency for real-time applications
+- Trained on 500K hours of cleaned speech data
+- MIT license (free for commercial use)
+- Outperforms ElevenLabs in subjective evaluations
+
+## Hardware Requirements
+
+- Minimum: NVIDIA GPU with CUDA support
+- Turbo model requires less VRAM than original due to smaller architecture
+- Runs on consumer GPUs (RTX 3060 and above)
+- CPU inference possible but significantly slower
+
+## Common Use Cases
+
+- Voice cloning for content creation
+- AI voice agents and assistants
+- Audiobook narration
+- Game and media dialogue generation
+
+## Key Parameters
+
+- **exaggeration**: Emotion intensity control (0.0 to 1.0, default 0.5)
+- **cfg_weight**: Classifier-free guidance weight (0.0 to 1.0, default 0.5)
+- **audio_prompt_path**: Path to reference audio clip for voice cloning
+- **language_id**: Language code for multilingual model (e.g., "fr", "zh", "ja")

apps/hub/knowledge/models/chroma.md

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+# Chroma
+
+Chroma is an open-source 8.9 billion parameter text-to-image model based on the FLUX.1-schnell architecture, developed by Lodestone Rock and the community. It is fully Apache 2.0 licensed.
+
+## Model Variants
+
+### Chroma
+
+- 8.9B parameter model based on FLUX.1-schnell
+- Trained on a curated 5M sample dataset (from 20M candidates)
+- Apache 2.0 license for unrestricted use
+- Supports both tag-based and natural language prompting
+
+### Chroma XL
+
+- Experimental merge and fine-tune based on NoobAI-XL (SDXL architecture)
+- Low CFG (2.5-3.0) and low step count (8-12 steps)
+- Optimized for fast generation on consumer hardware
+
+## Key Features
+
+- Fully open-source with Apache 2.0 licensing
+- Diverse training data spanning anime, artistic, and photographic styles
+- Community-driven development with public training logs
+- Compatible with FLUX ecosystem (VAE, T5 text encoder)
+- ComfyUI workflow support
+- LoRA and fine-tuning compatible
+- GGUF quantized versions available for lower VRAM
+
+## Hardware Requirements
+
+- Base model: 24GB VRAM recommended (BF16)
+- Q8_0 quantized: ~13GB VRAM
+- Q4_0 quantized: ~7GB VRAM
+- Requires FLUX.1 VAE and T5 text encoder
+
+## Common Use Cases
+
+- Open-source text-to-image generation
+- Artistic and stylized image creation
+- Community model fine-tuning and experimentation
+- LoRA training for custom styles and characters
+
+## Key Parameters
+
+- **prompt**: Text description or tag-based prompt
+- **steps**: Inference steps (15-30 recommended)
+- **cfg_scale**: Guidance scale (1-4, model uses low CFG)
+- **resolution**: Output resolution (1024x1024 default)
+- **guidance**: Flux-style guidance parameter (around 4)

apps/hub/knowledge/models/chronoedit.md

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+# ChronoEdit
+
+ChronoEdit is an image editing framework by NVIDIA that reframes editing as a video generation task, using temporal reasoning to ensure physically plausible and consistent edits.
+
+## Model Variants
+
+### ChronoEdit-14B
+
+- Full 14 billion parameter model for maximum quality
+- Built on pretrained video diffusion model architecture
+- Requires ~34GB VRAM (38GB with temporal reasoning enabled)
+
+### ChronoEdit-2B
+
+- Compact 2 billion parameter variant for efficiency
+- Maintains core temporal reasoning capabilities
+- Lower VRAM requirements for broader hardware compatibility
+
+### ChronoEdit-14B 8-Step Distilled LoRA
+
+- Distilled variant requiring only 8 inference steps
+- Faster generation with minimal quality loss
+- Uses flow-shift 2.0 and guidance-scale 1.0
+
+## Key Features
+
+- Treats image editing as a video generation task for temporal consistency
+- Temporal reasoning tokens simulate intermediate editing trajectories
+- Ensures physically plausible edits (object interactions, lighting, shadows)
+- Two-stage pipeline: temporal reasoning stage followed by editing frame generation
+- Prompt enhancer integration for improved editing instructions
+- LoRA fine-tuning support via DiffSynth-Studio
+- Upscaler LoRA available for super-resolution editing
+- PaintBrush LoRA for sketch-to-object editing
+- Apache-2.0 license
+
+## Hardware Requirements
+
+- 14B model: 34GB VRAM minimum (38GB with temporal reasoning)
+- 2B model: 12GB+ VRAM estimated
+- Supports model offloading to reduce peak VRAM
+- Linux only (not supported on Windows/macOS)
+
+## Common Use Cases
+
+- Physically consistent image editing (add/remove/modify objects)
+- World simulation for autonomous driving and robotics
+- Visualizing editing trajectories and reasoning
+- Image super-resolution via upscaler LoRA
+- Sketch-to-object conversion via PaintBrush LoRA
+
+## Key Parameters
+
+- **prompt**: Text description of the desired edit
+- **num_inference_steps**: Denoising steps (default ~50, or 8 with distilled LoRA)
+- **guidance_scale**: Prompt adherence strength (default ~7.5, or 1.0 with distilled LoRA)
+- **flow_shift**: Flow matching shift parameter (2.0 for distilled LoRA)
+- **enable_temporal_reasoning**: Toggle temporal reasoning stage for better consistency

apps/hub/knowledge/models/depth-anything-v2.md

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+# Depth Anything V2
+
+Depth Anything V2 is a monocular depth estimation model trained on 595K synthetic labeled images and 62M+ real unlabeled images, providing robust relative depth maps from single images.
+
+## Model Variants
+
+### Depth-Anything-V2-Small
+
+- Lightweight variant for fast inference
+- ViT-S (Small) encoder backbone
+- Suitable for real-time applications
+
+### Depth-Anything-V2-Base
+
+- Mid-range variant balancing speed and accuracy
+- ViT-B (Base) encoder backbone
+
+### Depth-Anything-V2-Large
+
+- High-accuracy variant for detailed depth maps
+- ViT-L (Large) encoder backbone with 256 output features
+- Recommended for most production use cases
+
+### Depth-Anything-V2-Giant
+
+- Maximum accuracy variant
+- ViT-G (Giant) encoder backbone
+- Highest computational requirements
+
+## Key Features
+
+- More fine-grained depth detail than Depth Anything V1
+- More robust than V1 and Stable Diffusion-based alternatives (Marigold, Geowizard)
+- 10× faster than SD-based depth estimation models
+- Trained on large-scale synthetic + real data mixture
+- Produces relative (not metric) depth maps by default
+- DPT (Dense Prediction Transformer) decoder architecture
+
+## Hardware Requirements
+
+- Small: 2GB VRAM minimum
+- Base: 4GB VRAM minimum
+- Large: 6GB VRAM recommended
+- Giant: 12GB+ VRAM recommended
+- CPU inference supported for smaller variants
+
+## Common Use Cases
+
+- Depth map generation for compositing and VFX
+- ControlNet depth conditioning for image generation
+- 3D scene understanding and reconstruction
+- Foreground/background separation
+- Augmented reality occlusion
+- Video depth estimation for parallax effects
+
+## Key Parameters
+
+- **encoder**: Model size variant (vits, vitb, vitl, vitg)
+- **input_size**: Processing resolution (higher = more detail, more VRAM)
+- **output_type**: Raw depth array or normalized visualization

apps/hub/knowledge/models/flashvsr.md

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+# FlashVSR
+
+FlashVSR is a diffusion-based streaming video super-resolution framework that achieves near real-time 4× upscaling through one-step inference with locality-constrained sparse attention.
+
+## Model Variants
+
+### FlashVSR v1
+
+- Initial release of the one-step streaming VSR model
+- Built on Wan2.1 1.3B video diffusion backbone
+- 4× super-resolution optimized
+
+### FlashVSR v1.1
+
+- Enhanced stability and fidelity over v1
+- Improved artifact handling across different aspect ratios
+- Recommended for production use
+
+## Key Features
+
+- One-step diffusion inference (no multi-step denoising required)
+- Streaming architecture with KV cache for sequential frame processing
+- Locality-Constrained Sparse Attention (LCSA) prevents artifacts at high resolutions
+- Tiny Conditional Decoder (TC Decoder) achieves 7× faster decoding than standard WanVAE
+- Three-stage distillation pipeline from multi-step to single-step inference
+- Runs at ~17 FPS for 768×1408 videos on a single A100 GPU
+- Up to 12× speedup over prior one-step diffusion VSR models
+- Scales reliably to ultra-high resolutions
+
+## Hardware Requirements
+
+- Minimum: 24GB VRAM (A100 or similar recommended)
+- Optimized for NVIDIA A100 GPUs
+- Significant VRAM required for high-resolution video processing
+- Multi-GPU inference not required but beneficial for throughput
+
+## Common Use Cases
+
+- Real-world video upscaling to 4K
+- AI-generated video enhancement and artifact removal
+- Long video super-resolution with temporal consistency
+- Streaming video quality improvement
+- Restoring compressed or low-resolution video footage
+
+## Key Parameters
+
+- **scale**: Upscaling factor (4× recommended for best results)
+- **tile_size**: Spatial tiling for memory management (0 = auto)
+- **input_resolution**: Source video resolution (outputs 4× larger)
+- **model_version**: v1 or v1.1 checkpoint selection

apps/hub/knowledge/models/flux.md

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+# Flux
+
+Flux is a family of state-of-the-art text-to-image and image editing models developed by Black Forest Labs (BFL).
+
+## Model Variants
+
+### Flux.1 Schnell
+
+- Ultra-fast inference (1-4 steps)
+- 12B parameter rectified flow transformer
+- Apache 2.0 license (open source)
+- Best for rapid prototyping and real-time applications
+
+### Flux.1 Dev
+
+- High-quality 12B parameter development model
+- 20-50 steps for best results
+- Non-commercial license for research
+- Guidance-distilled for efficient generation
+
+### Flux.1 Pro
+
+- Highest quality Flux.1 outputs via commercial API
+- Best prompt adherence and detail
+
+### Flux.2 Dev
+
+- 32B parameter rectified flow transformer
+- Unified text-to-image, single-reference editing, and multi-reference editing
+- No fine-tuning needed for character/object/style reference
+- Up to 4MP photorealistic output with improved autoencoder
+- Non-commercial license; quantized versions available for consumer GPUs
+
+### Flux.2 Klein
+
+- Fastest Flux model family — sub-second inference on modern hardware
+- **Klein 4B**: ~8GB VRAM, Apache 2.0 license, ideal for edge deployment
+- **Klein 9B**: Best quality-to-latency ratio, non-commercial license
+- Base (undistilled) variants available for fine-tuning and LoRA training
+- Supports text-to-image, single-reference editing, and multi-reference editing
+
+### Flux.1 Kontext
+
+- In-context image generation and editing via text instructions
+- Available as Kontext Max (premium), Pro (API), and Dev (open-weights, 12B)
+- Character consistency across multiple scenes without fine-tuning
+- Typography manipulation and local editing within images
+
+### Flux.1 Fill
+
+- Dedicated inpainting and outpainting model
+- Maintains consistency with surrounding image context
+- Available as Fill Pro (API) and Fill Dev (open-weights)
+
+### Flux Redux / Canny / Depth
+
+- **Redux**: Image variation generation from reference images
+- **Canny**: Edge-detection-based structural conditioning
+- **Depth**: Depth-map-based structural conditioning for pose/layout control
+
+## Key Features
+
+- Excellent text rendering in images
+- Strong prompt following and instruction adherence
+- High resolution output (up to 4MP with Flux.2)
+- Multi-reference editing: combine up to 6 reference images
+- Consistent style and quality across generations
+
+## Hardware Requirements
+
+- Flux.2 Klein 4B: ~8GB VRAM (consumer GPUs like RTX 4070)
+- Flux.2 Klein 9B: ~20GB VRAM
+- Flux.1 models: 12GB VRAM minimum (fp16), 24GB recommended
+- Flux.2 Dev: 64GB+ VRAM native, FP8 quantized ~40GB
+- Quantized and weight-streaming options available for lower VRAM cards
+
+## Common Use Cases
+
+- Text-to-image generation
+- Iterative image editing via text instructions
+- Character-consistent multi-scene generation
+- Inpainting and outpainting
+- Style transfer and image variation
+- Structural conditioning (canny, depth)
+
+## Key Parameters
+
+- **steps**: 1-4 (Schnell/Klein distilled), 20-50 (Dev/Base)
+- **guidance_scale**: 3.5-4.0 typical for Flux.2, 3.5 for Flux.1
+- **resolution**: Up to 2048x2048 (Flux.1), up to 4MP (Flux.2)
+- **seed**: For reproducible generation
+- **prompt_upsampling**: Optional LLM-based prompt enhancement (Flux.2)
+
+## Blog References
+
+- [FLUX.2 Day-0 Support in ComfyUI](../blog/flux2-day-0-support.md) — FLUX.2 with 4MP output, multi-reference consistency, professional text rendering
+- [FLUX.2 [klein] 4B & 9B](../blog/flux2-klein-4b.md) — Fastest Flux models, sub-second inference, unified generation and editing
+- [The Complete AI Upscaling Handbook](../blog/upscaling-handbook.md) — Benchmarks for upscaling workflows

apps/hub/knowledge/models/flux.summary.md

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+Flux is Black Forest Labs' family of text-to-image and image editing models. The lineup includes Flux.1 Schnell (ultra-fast, 1-4 steps, Apache 2.0), Flux.1 Dev (high-quality, 20-50 steps, non-commercial), Flux.1 Pro (commercial API), and the newer Flux.2 Dev (32B parameters, up to 4MP output, multi-reference editing without fine-tuning). Flux.2 Klein offers sub-second inference in 4B (~8GB VRAM, Apache 2.0) and 9B variants. Specialized models include Kontext (in-context editing, character consistency), Fill (inpainting/outpainting), Redux (image variations), and Canny/Depth (structural conditioning). Flux excels at text rendering in images, strong prompt adherence, and consistent multi-scene generation. VRAM ranges from ~8GB (Klein 4B) to 64GB+ (Flux.2 Dev native), with quantized options available. Key parameters: guidance_scale 3.5-4.0, resolution up to 4MP for Flux.2. Primary uses include text-to-image, iterative editing, style transfer, and structural conditioning.

apps/hub/knowledge/models/gemini.md

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+# Gemini
+
+Gemini is Google DeepMind's multimodal AI model family with native image generation, editing, and video generation capabilities, accessible in ComfyUI through API nodes.
+
+## Model Variants
+
+### Gemini 3 Pro Image Preview
+
+- Most capable Gemini image model with advanced reasoning
+- Complex multi-turn image generation and editing
+- Up to 14 input images, native 4K output
+- Also known as Nano Banana Pro
+- Model ID: `gemini-3-pro-image-preview`
+
+### Gemini 2.5 Flash Image
+
+- Cost-effective image generation optimized for speed and low latency
+- Character consistency, multi-image fusion, and prompt-based editing
+- $0.039 per image (1290 output tokens per image)
+- Model ID: `gemini-2.5-flash-image`
+
+### Google Gemini (General)
+
+- Multimodal model for text, image understanding, and generation
+- Interleaved text-and-image output in conversational context
+- Supports image input for analysis and editing tasks
+
+### Veo 2
+
+- Text-to-video and image-to-video generation
+- 8-second video clips at 720p resolution
+- Realistic physics simulation and cinematic styles
+- Supports 16:9 and 9:16 aspect ratios
+- Model ID: `veo-2.0-generate-001`
+
+### Veo 3 / 3.1
+
+- Latest video generation with native audio (dialogue, SFX, ambient)
+- Up to 1080p and 4K resolution (Veo 3.1)
+- Style reference images for aesthetic control
+- 4, 6, or 8-second video duration options
+
+## Key Features
+
+- Native multimodal generation: text, images, and video in one model family
+- World knowledge from Google Search for factually accurate image generation
+- SynthID invisible watermarking on all generated content
+- Multi-image fusion and character consistency across generations
+- Clean text rendering across multiple languages
+- Prompt-based image editing without masks or complex workflows
+
+## Hardware Requirements
+
+- No local GPU required — all models accessed via cloud API
+- Available through ComfyUI API nodes, Google AI Studio, and Vertex AI
+- Requires API key and network access
+
+## Common Use Cases
+
+- Text-to-image and image editing via API nodes
+- Multi-turn conversational image generation
+- Video generation from text prompts or reference images
+- Product animation and social media video content
+- Style-consistent character and brand asset generation
+- Text rendering and translation in images
+
+## Key Parameters
+
+- **prompt**: Text description for generation or editing
+- **aspect_ratio**: 1:1, 3:4, 4:3, 9:16, 16:9, 21:9 (images); 16:9, 9:16 (video)
+- **temperature**: 0.0-2.0 (default 1.0 for image models)
+- **durationSeconds**: 4-8 seconds for Veo models
+- **sampleCount**: 1-4 output videos per request
+- **seed**: Integer for reproducible generation
+- **personGeneration**: Safety control — `allow_adult`, `dont_allow`, or `allow_all`

apps/hub/knowledge/models/gpt-image-1.md

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+# GPT-Image-1
+
+GPT-Image-1 is OpenAI's natively multimodal image generation model, capable of generating and editing images from text and image inputs. It is accessed in ComfyUI through API nodes.
+
+## Model Variants
+
+### GPT-Image-1.5
+
+- Latest and most advanced GPT Image model
+- Best overall quality with superior instruction following
+- High input fidelity for the first 5 input images
+- Supports generate vs. edit action control
+- Multi-turn editing via the Responses API
+
+### GPT-Image-1
+
+- Production-grade image generation and editing
+- High input fidelity for the first input image
+- Supports up to 16 input images for editing
+- Up to 10 images per generation request
+
+### GPT-Image-1-Mini
+
+- Cost-effective variant for lower quality requirements
+- Same API surface as GPT-Image-1
+- Suitable for rapid prototyping and high-volume workloads
+
+## Key Features
+
+- Superior text rendering in generated images
+- Real-world knowledge for accurate depictions
+- Transparent background support (PNG and WebP)
+- Mask-based inpainting with prompt guidance
+- Multi-image editing: combine up to 16 reference images
+- Streaming partial image output during generation
+- Content moderation with adjustable strictness
+
+## Hardware Requirements
+
+- No local GPU required — cloud API service via OpenAI
+- Accessed through ComfyUI API nodes
+- Requires OpenAI API key and organization verification
+
+## Common Use Cases
+
+- Text-to-image generation with detailed prompts
+- Image editing and compositing from multiple references
+- Product photography and mockup generation
+- Inpainting with mask-guided editing
+- Transparent asset generation (stickers, logos, icons)
+- Multi-turn iterative image refinement
+
+## Key Parameters
+
+- **prompt**: Text description up to 32,000 characters
+- **size**: `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto`
+- **quality**: `low`, `medium`, `high`, or `auto` (affects cost and detail)
+- **n**: Number of images to generate (1-10)
+- **background**: `transparent`, `opaque`, or `auto`
+- **output_format**: `png`, `jpeg`, or `webp`
+- **moderation**: `auto` (default) or `low` (less restrictive)
+- **input_fidelity**: `low` (default) or `high` for preserving input image details

apps/hub/knowledge/models/grok.md

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+# Grok (Aurora)
+
+Aurora is xAI's autoregressive image generation model integrated into Grok, excelling at photorealistic rendering and precise text instruction following.
+
+## Model Variants
+
+### grok-2-image-1212
+
+- API-accessible image generation model
+- Generates multiple images from text prompts
+- $0.07 per generated image
+- OpenAI and Anthropic SDK compatible
+
+### Aurora (Consumer)
+
+- Autoregressive mixture-of-experts network
+- Trained on billions of text and image examples
+- Available via Grok on X platform, web, iOS, and Android
+
+### Grok Imagine
+
+- Video and image generation model
+- State-of-the-art quality across cost and latency
+- API available since January 2026
+
+## Key Features
+
+- Photorealistic image generation from text prompts
+- Precise text rendering within images
+- Accurate rendering of real-world entities, logos, and text
+- Image editing via uploaded photos with text instructions
+- Multi-image generation per request
+- Native multimodal input support
+
+## Hardware Requirements
+
+- Cloud API-based (no local GPU required)
+- All generation runs on xAI infrastructure
+- API access via console.x.ai
+
+## Common Use Cases
+
+- Photorealistic image generation
+- Text and logo rendering in images
+- Image editing and style transfer
+- Meme and social media content creation
+- Product visualization
+- Character and portrait generation
+
+## Key Parameters
+
+- **prompt**: Text description of desired image
+- **model**: Model identifier (grok-2-image-1212)
+- **n**: Number of images to generate
+- **response_format**: Output format (url or b64_json)
+- **size**: Image dimensions

apps/hub/knowledge/models/hidream.md

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+# HiDream-I1
+
+HiDream-I1 is a 17B parameter image generation foundation model by HiDream.ai that achieves state-of-the-art quality using a sparse diffusion transformer architecture.
+
+## Model Variants
+
+### HiDream-I1 Full
+
+- Full 17B parameter sparse diffusion transformer
+- Uses Llama-3.1-8B-Instruct and T5-XXL as text encoders
+- VAE from FLUX.1 Schnell, MIT license
+
+### HiDream-I1 Dev
+
+- Distilled variant, faster inference with minor quality tradeoff
+
+### HiDream-I1 Fast
+
+- Further distilled for maximum speed, best for rapid prototyping
+
+### HiDream-E1
+
+- Instruction-based image editing model
+
+## Key Features
+
+- State-of-the-art HPS v2.1 score (33.82), surpassing Flux.1-dev, DALL-E 3, and Midjourney V6
+- Best-in-class prompt following on GenEval (0.83) and DPG-Bench (85.89)
+- Multiple output styles: photorealistic, cartoon, artistic, and more
+- Dual text encoding with Llama-3.1-8B-Instruct and T5-XXL for strong prompt adherence
+- MIT license for commercial use
+- Requires Flash Attention for optimal performance
+
+## Hardware Requirements
+
+- Minimum: 24GB VRAM (Full model), Dev and Fast variants run on lower VRAM
+- Recommended: 40GB+ VRAM for Full model at high resolution
+- CUDA 12.4+ recommended for Flash Attention
+- Llama-3.1-8B-Instruct weights downloaded automatically
+
+## Common Use Cases
+
+- High-fidelity text-to-image generation
+- Photorealistic image creation
+- Artistic and stylized illustrations
+- Instruction-based image editing (E1 variant)
+- Commercial image generation
+
+## Key Parameters
+
+- **model_type**: Variant selection (full, dev, fast)
+- **steps**: Inference steps (varies by variant; fewer for fast/dev)
+- **cfg_scale**: Guidance scale for prompt adherence
+- **resolution**: Output image dimensions
+- **prompt**: Detailed text description of desired image

apps/hub/knowledge/models/hitpaw.md

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+# HitPaw
+
+HitPaw is an AI-powered visual enhancement platform providing image and video upscaling, restoration, and denoising through dedicated API services and desktop applications.
+
+## Model Variants
+
+### HitPaw Image Enhancer
+
+- AI-powered photo enhancement with super-resolution up to 8x
+- Face Clear Model: dual-model portrait upscaling (2x and 4x)
+- Face Natural Model: texture-preserving portrait enhancement
+- General Enhance Model: super-resolution for scenes and objects
+- High Fidelity Model: premium upscaling for DSLR and AIGC images
+- Generative Portrait/Enhance Models: diffusion-based restoration for heavily compressed images
+
+### HitPaw Video Enhancer (VikPea)
+
+- Frame-aware video restoration and ultra HD upscaling
+- Face Soft Model: face-optimized noise and blur reduction
+- Portrait Restore Model: multi-frame fusion for facial detail
+- General Restore Model: GAN-based restoration for broad scenarios
+- Ultra HD Model: premium upscaling from HD to ultra HD
+- Generative Model: diffusion-driven repair for low-resolution video
+
+## Key Features
+
+- One-click portrait and scene enhancement
+- Dual-model face and background processing pipelines
+- Batch processing and API access for automated workflows
+- Support for 30+ video input formats and 5 export formats
+- Multi-frame face restoration for temporal consistency in video
+- Denoising models for mobile and camera images
+
+## Hardware Requirements
+
+- Cloud API available (no local GPU required)
+- Desktop apps for Windows, Mac, Android, and iOS
+- API integration via HTTP-based interface
+
+## Common Use Cases
+
+- Upscaling AI-generated images to publication quality
+- Restoring old or low-resolution photos and videos
+- Enhancing portrait and landscape photography
+- Video quality improvement for content creators
+
+## Key Parameters
+
+- **model**: Select enhancement model per content type
+- **scale**: 2x or 4x super-resolution options
+- **format**: Output format selection (mp4, mov, mkv, m4v, avi for video)

apps/hub/knowledge/models/humo.md

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+# HuMo
+
+HuMo is a human-centric video generation model by ByteDance that produces videos from collaborative multi-modal conditioning using text, image, and audio inputs.
+
+## Model Variants
+
+### HuMo (Wan2.1-T2V-1.3B based)
+
+- Built on the Wan2.1-T2V-1.3B video foundation model
+- Supports Text+Image (TI), Text+Audio (TA), and Text+Image+Audio (TIA) modes
+- Two-stage training: subject preservation then audio-visual sync
+
+## Key Features
+
+- Multi-modal conditioning: text, reference images, and audio simultaneously
+- Subject identity preservation from reference images across frames
+- Audio-driven lip synchronization with facial expression alignment
+- Focus-by-predicting strategy for facial region attention during audio sync
+- Time-adaptive guidance dynamically adjusts input weights across denoising steps
+- Minimal-invasive image injection maintains base model prompt understanding
+- Progressive two-stage training separates identity learning from audio sync
+- Supports text-controlled appearance editing while preserving identity
+
+## Hardware Requirements
+
+- Minimum: 24GB VRAM (RTX 3090/4090 or similar)
+- Multi-GPU inference supported via FSDP and sequence parallelism
+- Whisper-large-v3 audio encoder required for audio modes
+- Optional audio separator for cleaner speech input
+
+## Common Use Cases
+
+- Digital avatar and virtual presenter creation
+- Audio-driven talking head generation
+- Character-consistent video clips from reference photos
+- Lip-synced dialogue video from audio tracks
+- Prompted reenactment with identity preservation
+- Text-controlled outfit and style changes on consistent subjects
+
+## Key Parameters
+
+- **mode**: Generation mode (TI, TA, or TIA)
+- **scale_t**: Text guidance strength (default: 7.5)
+- **scale_a**: Audio guidance strength (default: 2.0)
+- **frames**: Number of output frames (97 at 25 FPS = ~4 seconds)
+- **height/width**: Output resolution (480p or 720p supported)
+- **steps**: Denoising steps (30-50 recommended)

apps/hub/knowledge/models/hunyuan.md

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+# Hunyuan
+
+Hunyuan is Tencent's family of open-source generative models spanning text-to-image, text-to-video, and 3D asset generation.
+
+## Model Variants
+
+### Hunyuan-DiT
+
+- Text-to-image diffusion transformer with native Chinese and English support
+- 1.5B parameter DiT architecture, native 1024x1024 resolution
+- Bilingual text encoder for strong CJK text rendering in images
+- v1.2 is the latest version with improved quality
+
+### HunyuanVideo
+
+- Large-scale text-to-video and image-to-video generation model
+- 13B+ parameters, the largest open-source video generation model
+- Dual-stream to single-stream transformer architecture with full attention
+- MLLM text encoder (decoder-only LLM) for better instruction following
+- Causal 3D VAE with 4x temporal, 8x spatial, 16x channel compression
+- Generates 720p video (1280x720) at up to 129 frames (~5s at 24fps)
+- FP8 quantized weights available to reduce memory by ~10GB
+- Outperforms Runway Gen-3, Luma 1.6 in professional evaluations
+- 3 workflow templates available
+
+### Hunyuan3D 2.0
+
+- Image-to-3D and text-to-3D asset generation system
+- Two-stage pipeline: Hunyuan3D-DiT (shape) + Hunyuan3D-Paint (texture)
+- Flow-based diffusion transformer for geometry generation
+- High-resolution texture synthesis with geometric and diffusion priors
+- Outputs textured meshes in GLB/OBJ format
+- Outperforms both open and closed-source 3D generation models
+- 7 workflow templates available
+
+## Key Features
+
+- Native bilingual support (Chinese and English) across the family
+- Strong text rendering in generated images (Hunyuan-DiT)
+- State-of-the-art video generation quality (HunyuanVideo)
+- End-to-end 3D asset creation with texturing (Hunyuan3D)
+- Multi-resolution generation across all model types
+- Prompt rewrite system for improved generation quality (HunyuanVideo)
+
+## Hardware Requirements
+
+- Hunyuan-DiT: 11GB VRAM minimum (fp16), 16GB recommended
+- HunyuanVideo 540p (544x960): 45GB VRAM minimum
+- HunyuanVideo 720p (720x1280): 60GB VRAM minimum, 80GB recommended
+- HunyuanVideo FP8: Saves ~10GB compared to fp16 weights
+- Hunyuan3D 2.0: 16-24GB VRAM for shape + texture pipeline
+
+## Common Use Cases
+
+- Bilingual content creation and marketing materials
+- Asian-style artwork and illustrations
+- Text-in-image generation (Chinese/English)
+- High-quality video generation from text or image prompts
+- 3D asset creation for games, design, and prototyping
+- Textured mesh generation from reference images
+
+## Key Parameters
+
+- **steps**: 25-50 for Hunyuan-DiT (default 40), 50 for HunyuanVideo
+- **cfg_scale**: 5-8 for DiT (6 typical), 6.0 embedded for HunyuanVideo
+- **flow_shift**: 7.0 for HunyuanVideo flow matching scheduler
+- **video_length**: 129 frames for HunyuanVideo (~5s at 24fps)
+- **resolution**: 1024x1024 for DiT, 720x1280 or 544x960 for video
+- **negative_prompt**: Recommended for Hunyuan-DiT quality control
+
+## Blog References
+
+- [HunyuanVideo Native Support](../blog/hunyuanvideo-native-support.md) — 13B parameter video model, dual-stream transformer, MLLM text encoder
+- [HunyuanVideo 1.5 Native Support](../blog/hunyuanvideo-15-native-support.md) — Lightweight 8.3B model, 720p output, runs on 24GB consumer GPUs
+- [Hunyuan3D 2.0 and MultiView Native Support](../blog/hunyuan3d-20-native-support.md) — 3D model generation with PBR materials, 1.1B parameter multi-view model

apps/hub/knowledge/models/hunyuan.summary.md

@@ -0,0 +1 @@
+Hunyuan is Tencent's open-source generative model family spanning text-to-image, text-to-video, and 3D generation. Hunyuan-DiT is a 1.5B parameter text-to-image model with native Chinese and English support and strong CJK text rendering at 1024x1024 (11-16GB VRAM). HunyuanVideo is the largest open-source video model at 13B+ parameters, generating 720p video up to 129 frames (~5s at 24fps) using a dual-stream transformer with MLLM text encoder; it requires 45-80GB VRAM depending on resolution (FP8 saves ~10GB). Hunyuan3D 2.0 handles image-to-3D and text-to-3D generation via a two-stage pipeline producing textured GLB/OBJ meshes (16-24GB VRAM). Key strengths: bilingual content creation, state-of-the-art video quality surpassing Runway Gen-3, and end-to-end 3D asset creation. Typical parameters: 25-50 steps for DiT, 50 steps for video, cfg_scale 5-8.

apps/hub/knowledge/models/ideogram.md

@@ -0,0 +1,52 @@
+# Ideogram
+
+Ideogram is an AI image generation platform founded by former Google Brain researchers, known for industry-leading text rendering accuracy in generated images. It achieves approximately 90% text rendering accuracy compared to roughly 30% for competing tools.
+
+## Model Variants
+
+### Ideogram 3.0
+
+- Latest generation released March 2025
+- Highest ELO rating in human evaluations across diverse prompts
+- Style References support with up to 3 reference images
+- Random style feature with 4.3 billion style presets
+- Batch generation for scaled content production
+
+### Ideogram 2.0
+
+- Previous generation model
+- Available as alternative option in the platform
+- Solid text rendering and general image quality
+
+## Key Features
+
+- Best-in-class text rendering with accurate typography and spelling
+- Handles complex, multi-line text compositions and curved surfaces
+- Style modes: Realistic, Anime, 3D, Watercolor, Typography
+- Magic Prompt for automatic prompt enhancement
+- Canvas editing for post-generation refinement
+- Upscaler up to 8K resolution in 2x increments
+- Color palette control for brand consistency
+- API available for programmatic integration
+
+## Hardware Requirements
+
+- Cloud API only (no local GPU required)
+- API pricing at approximately $0.06 per image
+- Web interface with credit-based subscription plans
+
+## Common Use Cases
+
+- Marketing materials with branded text and logos
+- Social media graphics with text overlays
+- Product packaging and label design
+- Event posters, flyers, and invitations
+- Book covers and editorial design
+
+## Key Parameters
+
+- **prompt**: Text description with quoted text for typography
+- **model**: Version selection (2.0 or 3.0)
+- **style**: Realistic, Anime, 3D, Watercolor, Typography
+- **aspect_ratio**: 16 aspect ratio options available
+- **magic_prompt**: Toggle for automatic prompt enhancement

apps/hub/knowledge/models/kandinsky.md

@@ -0,0 +1,51 @@
+# Kandinsky
+
+Kandinsky is a family of open-source diffusion models for video and image generation, developed by Kandinsky Lab (Sber AI, Russia). The models support both English and Russian text prompts.
+
+## Model Variants
+
+### Kandinsky 5.0 Video Pro (19B)
+
+- HD video at 1280x768, 24fps (5 or 10 seconds)
+- Controllable camera motion via LoRA
+- Top-1 open-source T2V model on LMArena
+
+### Kandinsky 5.0 Video Lite (2B)
+
+- Lightweight model, #1 among open-source in its class
+- CFG-distilled (2x faster) and diffusion-distilled (6x faster) variants
+- Best Russian concept understanding in open source
+
+### Kandinsky 5.0 Image Lite (6B)
+
+- HD image output (1280x768, 1024x1024)
+- Strong text rendering; image editing variant available
+
+## Key Features
+
+- Bilingual support (English and Russian prompts)
+- Flow Matching architecture with MIT license
+- Camera control via trained LoRAs
+- ComfyUI and Diffusers integration
+- MagCache acceleration for faster inference
+
+## Hardware Requirements
+
+- Video Lite: 12GB VRAM minimum with optimizations
+- Video Pro: 24GB+ VRAM recommended
+- NF4 quantization and FlashAttention 2/3 or SDPA supported
+
+## Common Use Cases
+
+- Open-source video generation research
+- Russian and English bilingual content creation
+- Camera-controlled video synthesis
+- Image generation with text rendering
+- Fine-tuning with custom LoRAs
+
+## Key Parameters
+
+- **prompt**: Text description in English or Russian
+- **num_frames**: Number of output frames (5s or 10s)
+- **resolution**: Output resolution (up to 1280x768)
+- **steps**: Inference steps (varies by distillation level)

apps/hub/knowledge/models/kling.md

@@ -0,0 +1,64 @@
+# Kling
+
+Kling is a video and image generation platform developed by Kuaishou Technology. It offers text-to-video, image-to-video, video editing, audio generation, and virtual try-on capabilities through both a creative studio and a developer API.
+
+## Model Variants
+
+### Kling O1
+
+- First unified multimodal video model combining generation and editing
+- Built on Multimodal Visual Language (MVL) framework
+- Accepts text, image, video, and subject inputs in a single prompt
+- Supports video inpainting, outpainting, style re-rendering, and shot extension
+- Character and scene consistency via Element Library with director-like memory
+- Generates 3-10 second videos at up to 2K resolution
+
+### Kling 2.6
+
+- Simultaneous audio-visual generation in a single pass
+- Produces video with speech, sound effects, and ambient sounds together
+- Supports Chinese and English voice generation
+- Video content up to 10 seconds with synchronized audio
+- Deep semantic alignment between audio and visual dynamics
+
+### Kling (Base Models)
+
+- Text-to-video and image-to-video with Standard and Professional modes
+- Multi-image-to-video with multiple reference inputs
+- Camera control with 6 basic movements and 4 master shots
+- Video extension, lip-sync, and avatar generation
+- Start and end frame generation for controlled transitions
+
+## Key Features
+
+- Unified generation and editing in a single model (O1)
+- Simultaneous audio-visual generation (2.6)
+- Multi-subject consistency across shots and angles
+- Conversational editing via natural language prompts
+- Video effects center for special effects and transformations
+- Virtual try-on and image recognition capabilities
+- DeepSeek integration for prompt optimization
+
+## Hardware Requirements
+
+- Cloud API only; no local hardware required
+- Accessed via klingai.com creative studio or API platform
+- Standard and Professional generation modes (speed vs. quality tradeoff)
+
+## Common Use Cases
+
+- Film and television pre-production and shot generation
+- Social media content creation with audio
+- E-commerce product videos and virtual try-on
+- Advertising with one-click ad generation
+- Video post-production editing via text prompts
+- Multi-character narrative video creation
+
+## Key Parameters
+
+- **prompt**: Text description with positive and negative prompts
+- **mode**: Standard (fast) or Professional (high quality)
+- **duration**: Video length (3-10 seconds for O1, up to 10s for 2.6)
+- **aspect_ratio**: Width-to-height ratio for output
+- **camera_control**: Predefined camera movements and master shots
+- **creativity_strength**: Balance between reference fidelity and creative variation

apps/hub/knowledge/models/ltx-video.md

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+# LTX-Video
+
+LTX-Video is Lightricks' open-source DiT-based video generation model, the first capable of generating high-quality videos in real-time.
+
+## Model Variants
+
+### LTX-Video 2 (v0.9.7/v0.9.8)
+
+- Major quality upgrade over the original release
+- Available in 2B and 13B parameter sizes
+- 13B dev: highest quality, requires more VRAM
+- 13B distilled: faster inference, fewer steps needed, slight quality trade-off
+- 2B distilled: lightweight option for lower VRAM usage
+- FP8 quantized versions available for all sizes (13B-dev, 13B-distilled, 2B-distilled)
+- Multi-condition generation: condition on multiple images or video segments at specific frames
+- Spatial and temporal upscaler models for enhanced resolution and frame rate
+- ICLoRA adapters for depth, pose, and canny edge conditioning
+- 9 workflow templates available
+
+### LTX-Video 0.9.1/0.9.6
+
+- Original public releases with 2B parameter DiT architecture
+- Text-to-video and image-to-video modes
+- 768x512 native resolution at 24fps
+- 0.9.6 distilled variant: 15x faster, real-time capable, no CFG required
+- Foundation for community fine-tunes
+
+## Key Features
+
+- Real-time video generation on high-end GPUs (first DiT model to achieve this)
+- Generates 30 FPS video at 1216x704 resolution faster than playback speed
+- Multi-condition generation with per-frame image/video conditioning and strength control
+- Temporal VAE for smooth, consistent motion
+- Multi-scale rendering pipeline mixing dev and distilled models for speed-quality balance
+- Latent upsampling pipeline for progressive resolution enhancement
+
+## Hardware Requirements
+
+- 2B model: 12GB VRAM minimum, 16GB recommended
+- 2B distilled FP8: 8-10GB VRAM
+- 13B model: 24-32GB VRAM (fp16)
+- 13B FP8: 16-20GB VRAM
+- 13B distilled: less VRAM than 13B dev, ideal for rapid iterations
+- 32GB+ system RAM recommended for all variants
+
+## Common Use Cases
+
+- Short-form video content and social media clips
+- Image-to-video animation from reference frames
+- Video-to-video transformation and extension
+- Multi-condition video generation (start/end frame, keyframes)
+- Depth, pose, and edge-conditioned video generation via ICLoRA
+- Rapid video prototyping and creative experimentation
+
+## Key Parameters
+
+- **num_frames**: Output frame count (divisible by 8 + 1, e.g. 97, 161, 257)
+- **steps**: 30-50 for dev models, 8-15 for distilled variants
+- **cfg_scale**: 3-5 typical for dev, not required for distilled
+- **width/height**: Divisible by 32, best under 720x1280 for 13B
+- **denoise_strength**: 0.3-0.5 when using latent upsampler refinement pass
+- **conditioning_strength**: Per-condition strength for multi-condition generation (default 1.0)
+- **seed**: For reproducible generation
+
+## Blog References
+
+- [LTX-Video 0.9.5 Day-1 Support](../blog/ltx-video-095-support.md) — Commercial license (OpenRail-M), multi-frame control, improved quality
+- [LTX-2: Open Source Audio-Video AI](../blog/ltx-2-open-source-audio-video.md) — Synchronized audio-video generation, NVFP4 for 3x speed / 60% less VRAM

apps/hub/knowledge/models/ltx-video.summary.md

@@ -0,0 +1 @@
+LTX-Video is Lightricks' open-source DiT-based video generation model, the first to achieve real-time video generation. LTX-Video 2 (v0.9.7/0.9.8) is available in 2B and 13B parameter sizes, with dev, distilled, and FP8 quantized variants. It supports multi-condition generation with per-frame image/video conditioning, spatial and temporal upscalers, and ICLoRA adapters for depth, pose, and canny conditioning. The 2B model needs 12-16GB VRAM (8-10GB FP8), while the 13B model requires 24-32GB (16-20GB FP8). It generates 30fps video at 1216x704 faster than playback speed. Earlier versions (0.9.1/0.9.6) established the 2B foundation with a 15x faster distilled variant. Primary uses: short-form video, image-to-video animation, video extension, and multi-condition keyframe generation. Key parameters: 30-50 steps for dev, 8-15 for distilled, cfg_scale 3-5, frames divisible by 8+1.

apps/hub/knowledge/models/luma.md

@@ -0,0 +1,50 @@
+# Luma
+
+Luma AI develops video and image generation models through its Dream Machine platform, powered by the Ray model family and Photon image model.
+
+## Model Variants
+
+### Ray3 / Ray3.14
+
+- Native 1080p video with reasoning-driven generation
+- World's first native 16-bit HDR video generation
+- Character reference, Modify Video, and Draft Mode (5x faster)
+
+### Ray2
+
+- Production-ready text-to-video and image-to-video
+- 5-9 second output at 24fps with coherent motion
+
+### Photon
+
+- Image generation with strong prompt following
+- Character and visual reference support
+- 1080p output at $0.016 per image
+
+## Key Features
+
+- Reasoning capability for understanding creative intent
+- Visual annotation for precise layout and motion control
+- HDR generation with 16-bit EXR export for pro workflows
+- Keyframe control, video extension, looping, and camera control
+
+## Hardware Requirements
+
+- API-only access via Luma AI API
+- No local hardware requirements
+- Available through Dream Machine web and iOS app
+
+## Common Use Cases
+
+- Cinematic video production and storytelling
+- Commercial advertising and product videos
+- Visual effects with Modify Video workflows
+- HDR content for professional post-production
+
+## Key Parameters
+
+- **prompt**: Text description for video generation
+- **keyframes**: Start and/or end frame images
+- **aspect_ratio**: Output dimensions and ratio
+- **loop**: Enable seamless looping
+- **camera_control**: Camera movement via text instructions

apps/hub/knowledge/models/magnific.md

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+# Magnific
+
+Magnific is an AI-powered image upscaler and enhancer that uses generative AI to hallucinate new details and textures during the upscaling process.
+
+## Model Variants
+
+### Magnific Creative Upscaler
+
+- Generative upscaling up to 16x (max 10,000px per dimension)
+- AI engines: Illusio (illustration), Sharpy (photography), Sparkle (balanced)
+- Adds hallucinated details guided by text prompts
+
+### Magnific Precision Upscaler
+
+- Faithful high-fidelity upscaling without creative reinterpretation
+- Clean enlargement that stays true to the source image
+
+### Mystic Image Generator
+
+- Photorealistic text-to-image/image-to-image with LoRA styles at up to 4K
+
+## Key Features
+
+- Creativity slider controls AI-hallucinated detail level
+- HDR control for micro-contrast and crispness
+- Resemblance slider to balance fidelity vs. creative enhancement
+- Optimized modes for portraits, illustrations, video games, and film
+- API hosted on Freepik with Skin Enhancer endpoint
+
+## Hardware Requirements
+
+- Cloud-only service with no local hardware requirements
+- API available through Freepik's developer platform
+- Subscription-based with credit system
+
+## Common Use Cases
+
+- Upscaling AI-generated images for print and production
+- Enhancing low-resolution concept art and illustrations
+- Restoring old or compressed photographs
+
+## Key Parameters
+
+- Creativity: level of new detail hallucination (0-10)
+- HDR: micro-contrast and sharpness (-10 to 10)
+- Resemblance: fidelity to source image (-10 to 10)
+- Scale Factor: 2x, 4x, 8x, or 16x magnification

apps/hub/knowledge/models/meshy.md

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+# Meshy
+
+Meshy is a popular AI 3D model generator enabling text-to-3D and image-to-3D creation with PBR textures and production-ready exports.
+
+## Model Variants
+
+### Meshy-6
+
+- Latest generation with highest quality geometry
+- Supports symmetry and pose control (A-pose, T-pose)
+- Configurable polygon counts up to 300,000
+
+### Meshy-5
+
+- Previous generation with art style support
+- Realistic and sculpture style options
+
+## Key Features
+
+- Text-to-3D with two-stage workflow (preview mesh, then refine textures)
+- Image-to-3D from photos, sketches, or illustrations
+- Multi-image input for multi-view reconstruction
+- AI texturing with PBR maps (diffuse, roughness, metallic, normal)
+- Automatic rigging and 500+ animation motion library
+- Smart remesh with quad or triangle topology control
+- Export in FBX, GLB, OBJ, STL, 3MF, USDZ, BLEND formats
+
+## Hardware Requirements
+
+- Cloud API-based (no local GPU required)
+- All generation runs on Meshy servers
+- API available on Pro tier and above
+
+## Common Use Cases
+
+- Game development asset creation
+- 3D printing and prototyping
+- Film and VFX previsualization
+- VR/AR content development
+- Product design and e-commerce
+
+## Key Parameters
+
+- **prompt**: Text description up to 600 characters
+- **ai_model**: Model version (meshy-5, meshy-6, latest)
+- **topology**: Mesh type (quad or triangle)
+- **target_polycount**: 100 to 300,000 polygons
+- **enable_pbr**: Generate PBR material maps
+- **pose_mode**: Character pose (a-pose, t-pose, or none)