test+docs: harden assetsStore deletion+drift composition

Adversarial review (Skeptic, Architect, Minimalist lenses) plus an
oracle review surfaced two improvements without changing the underlying
pagination behavior:

- insertAssetSorted: tiebreak equal created_at timestamps with
  lexicographic id order so jobs that share a millisecond don't reorder
  across repeated incremental merges.
- removeHistoryItems: document the historyOffset decrement invariant.
  After a confirmed delete, the refreshed first page is backfilled with
  rows that previously sat past the old page-1 boundary; those
  backfilled rows count as drift, so the cursor must shrink by
  removedCount or the next loadMoreHistory will compose
  `historyOffset + drift` and silently skip unseen rows.
- Add a regression test that combines deletion with a non-zero drift
  counter and asserts the composed offset
  `(BATCH_SIZE - removed) + drift`. The existing tests covered each
  branch in isolation but not the composition.

Amp-Thread-ID: https://ampcode.com/threads/T-019df415-3078-74f9-9f05-c148c442293c

apps/website/e2e/homepage.spec.ts

@@ -69,6 +69,50 @@ test.describe('Homepage @smoke', () => {
     ).toBeVisible()
   })
 
+  test('CaseStudySpotlight CTA sizes to its content, not the column', async ({
+    page
+  }) => {
+    const contentColumn = page.getByTestId('case-study-content')
+    const cta = contentColumn.getByRole('link', {
+      name: /see all case studies/i
+    })
+
+    await cta.scrollIntoViewIfNeeded()
+    await expect(cta).toBeVisible()
+
+    const [columnBox, ctaBox] = await Promise.all([
+      contentColumn.boundingBox(),
+      cta.boundingBox()
+    ])
+
+    expect(columnBox).not.toBeNull()
+    expect(ctaBox).not.toBeNull()
+    expect(ctaBox!.width).toBeLessThan(columnBox!.width * 0.7)
+  })
+
+  test('CaseStudySpotlight CTA has breathing room above it on mobile @mobile', async ({
+    page
+  }) => {
+    const contentColumn = page.getByTestId('case-study-content')
+    const subheading = contentColumn.getByText(
+      /Videos & case studies from teams/i
+    )
+    const cta = contentColumn.getByRole('link', {
+      name: /see all case studies/i
+    })
+
+    await cta.scrollIntoViewIfNeeded()
+
+    const [subBox, ctaBox] = await Promise.all([
+      subheading.boundingBox(),
+      cta.boundingBox()
+    ])
+
+    expect(subBox).not.toBeNull()
+    expect(ctaBox).not.toBeNull()
+    expect(ctaBox!.y - (subBox!.y + subBox!.height)).toBeGreaterThanOrEqual(24)
+  })
+
   test('BuildWhatSection is visible', async ({ page }) => {
     // "DOESN'T EXIST" is the actual badge text rendered in the Build What section
     await expect(page.getByText("DOESN'T EXIST")).toBeVisible()

apps/website/public/llms.txt

@@ -0,0 +1,58 @@
+# Comfy
+
+> Comfy is the AI creation engine for visual professionals who demand control over every model, every parameter, and every output. Built around ComfyUI — the open-source node-graph runtime with 60,000+ community nodes and thousands of shared workflows — Comfy ships as a free local app, a managed cloud, an API, and an enterprise platform.
+
+The Comfy ecosystem spans four surfaces:
+
+- **ComfyUI (local)** — the open-source node-graph runtime that runs models on your own hardware.
+- **Comfy Cloud** — managed ComfyUI in the browser, with hosted models and storage.
+- **Comfy API** — a REST API for triggering workflows from your own apps and pipelines.
+- **Comfy Enterprise** — single-tenant deployments, BYO keys, data ownership, and orchestration for teams.
+
+Studios building with Comfy include Series Entertainment, Moment Factory, Open Story Movement, and Ubisoft (La Forge). Use cases concentrate in VFX & animation, advertising & creative studios, gaming, and eCommerce/fashion.
+
+## Product
+
+- [Homepage](https://comfy.org/): Overview of Comfy and the four product surfaces (Local, Cloud, API, Enterprise).
+- [Download Comfy (Local)](https://comfy.org/download/): Free desktop app for macOS, Windows, and Linux — runs ComfyUI on your own GPU.
+- [Comfy Cloud](https://comfy.org/cloud/): Managed ComfyUI in the browser with hosted models and storage; no local install required.
+- [Comfy Cloud Pricing](https://comfy.org/cloud/pricing/): Plans and per-credit pricing for individuals and teams using Comfy Cloud.
+- [Comfy API](https://comfy.org/api/): REST API for triggering ComfyUI workflows programmatically from external apps.
+- [Comfy Enterprise](https://comfy.org/cloud/enterprise/): Single-tenant ComfyUI deployments with BYO keys, orchestration, and data-ownership guarantees.
+
+## Workflows and Gallery
+
+- [Workflow Gallery](https://comfy.org/gallery/): Curated showcase of ComfyUI outputs — images, video, and 3D — produced by the community.
+- [Community Workflows](https://www.comfy.org/workflows/): Browseable library of community-shared ComfyUI workflows you can load and remix.
+
+## Customers and Case Studies
+
+- [Customer Stories](https://comfy.org/customers/): Index of named customers and how they use ComfyUI in production.
+- [Series Entertainment](https://comfy.org/customers/series-entertainment/): How Series Entertainment rebuilt game and video production around ComfyUI.
+- [Moment Factory](https://comfy.org/customers/moment-factory/): Architectural-scale 3D projection mapping reimagined with ComfyUI at Moment Factory.
+- [Ubisoft — Chord](https://comfy.org/customers/ubisoft-chord/): Ubisoft La Forge open-sourcing the Chord model and its ComfyUI integration.
+- [Open Story Movement](https://comfy.org/customers/open-story-movement/): How an open-source movement around AI storytelling builds on ComfyUI.
+
+## Developers and Documentation
+
+- [ComfyUI Docs](https://docs.comfy.org/): Official documentation for installing, configuring, and extending ComfyUI.
+- [ComfyUI on GitHub](https://github.com/comfyanonymous/ComfyUI): Source repository for the open-source ComfyUI runtime.
+- [Comfy-Org on GitHub](https://github.com/Comfy-Org): Organization-wide repositories — frontend, registry, manager, docs, and tooling.
+- [Comfy Registry](https://registry.comfy.org/): Public registry of ComfyUI custom nodes and extensions, with versioning and search.
+
+## Company
+
+- [About Comfy](https://comfy.org/about/): Company background, mission, and the team behind ComfyUI.
+- [Careers](https://comfy.org/careers/): Open roles across engineering, design, product, and go-to-market.
+- [Contact](https://comfy.org/contact/): Sales, partnership, and general contact form.
+- [Blog](https://blog.comfy.org/): Product announcements, technical deep-dives, and customer stories.
+- [Privacy Policy](https://comfy.org/privacy-policy/): How Comfy collects, uses, and protects personal information.
+- [Terms of Service](https://comfy.org/terms-of-service/): Terms governing use of ComfyUI and related Comfy services.
+
+## Optional
+
+- [简体中文 / Chinese homepage](https://comfy.org/zh-CN/): Simplified Chinese localization of the main site.
+- [Series Entertainment — long-form case study](https://comfy.org/cloud/enterprise-case-studies/how-series-entertainment-rebuilt-game-and-video-production-with-comfyui): Extended write-up of the Series Entertainment deployment.
+- [Moment Factory — long-form case study](https://comfy.org/cloud/enterprise-case-studies/comfyui-at-architectural-scale-how-moment-factory-reimagined-3d-projection-mapping): Extended write-up of Moment Factory's projection-mapping pipeline.
+- [Ubisoft Chord announcement (blog)](https://blog.comfy.org/p/ubisoft-open-sources-the-chord-model): Original blog post announcing Ubisoft's open-source Chord model.
+- [Open-source storytelling (blog)](https://blog.comfy.org/p/how-open-source-is-fueling-the-open): Blog post on how open source is fueling the Open Story Movement.

apps/website/scripts/README.md

@@ -0,0 +1,83 @@
+# Website Scripts
+
+## `refresh-ashby-snapshot.ts`
+
+Pulls the latest job postings from Ashby and writes
+`src/data/ashby-roles.snapshot.json`. Invoked by the `Release: Website`
+GitHub Actions workflow; also runnable locally via
+`pnpm --filter @comfyorg/website ashby:refresh-snapshot`.
+
+## `process-videos.sh`
+
+Generates multi-resolution VP9/WebM + H.264/MP4 variants and a poster
+frame for marketing videos using `ffmpeg`. Run **locally** before
+uploading the outputs to `media.comfy.org`; this is not wired into CI.
+
+```sh
+apps/website/scripts/process-videos.sh \
+  ./video-sources \
+  ./dist/videos \
+  "640 960 1280 1920"
+```
+
+### Output
+
+For each source video at `./video-sources/foo.mp4`, you get:
+
+```text
+foo-640.webm   foo-640.mp4
+foo-960.webm   foo-960.mp4
+foo-1280.webm  foo-1280.mp4
+foo-1920.webm  foo-1920.mp4
+foo-poster.jpg
+```
+
+The naming convention is enforced by `buildVideoSources()` in
+`src/utils/video.ts`, which the `<SiteVideo>` Vue component uses to
+emit `<source>` URLs.
+
+### Pairing with `<SiteVideo>`
+
+Once the assets are uploaded, render them with:
+
+```vue
+<SiteVideo
+  name="foo"
+  base-url="https://media.comfy.org/website/marketing"
+  :width="1280"
+  :formats="['webm', 'mp4']"
+  poster="https://media.comfy.org/website/marketing/foo-poster.jpg"
+  autoplay
+  loop
+/>
+```
+
+### `<SiteVideo>` vs `<VideoPlayer>`
+
+- **`SiteVideo`** — lightweight multi-source `<video>` for decorative or
+  autoplay marketing clips. No custom controls, no captions UI.
+- **`VideoPlayer`** — full-featured player with custom scrubber, mute,
+  fullscreen, and caption toggles. Use this for content with subtitles or
+  user-driven playback.
+
+If you need both responsive sources and the rich `VideoPlayer` chrome, the
+two are not yet combined; either pick one or extend `VideoPlayer` to accept
+a source list.
+
+### Encoder choices
+
+- **VP9/WebM** at CRF 32 — preferred by Chrome and Firefox; smaller files.
+- **H.264/MP4** at CRF 23, High profile, `+faststart` — universal fallback,
+  required for Safari iOS.
+- **Poster JPG** at q4 — extracted from t=1s when the clip is long enough,
+  otherwise t=0; scaled to 1280w. Use this as the `poster` attribute so
+  the video shows something while loading.
+
+### Why a single resolution per video
+
+`<source media="...">` inside `<video>` is unreliable across browsers
+(Safari ignores it). The simplest correct strategy is to ship one
+well-sized resolution and let CSS scale it down on smaller viewports.
+The script generates multiple widths so you can pick a different one
+per page (e.g. 1280w for a hero, 640w for a thumbnail), or wire up
+JavaScript-based selection later if metrics demand it.

apps/website/scripts/process-videos.sh

@@ -0,0 +1,110 @@
+#!/usr/bin/env bash
+#
+# Generate multi-resolution VP9/WebM + H.264/MP4 variants and a poster frame
+# for every source video in a given directory. Intended to be run locally
+# before uploading the outputs to media.comfy.org.
+#
+# Usage:
+#   apps/website/scripts/process-videos.sh <input-dir> <output-dir> [widths]
+#
+# Example:
+#   apps/website/scripts/process-videos.sh \
+#     ./video-sources \
+#     ./dist/videos \
+#     "640 960 1280 1920"
+#
+# Defaults to widths "1280" if omitted.
+#
+# Output naming matches buildVideoSources() in src/utils/video.ts:
+#   <name>-<width>.webm
+#   <name>-<width>.mp4
+#   <name>-poster.jpg          (single 1280w poster, suitable for SiteVideo)
+#
+# Requires ffmpeg and ffprobe on PATH. Tested with ffmpeg 6.x and 7.x.
+
+set -euo pipefail
+
+if [[ $# -lt 2 ]]; then
+  cat <<USAGE >&2
+Usage: $0 <input-dir> <output-dir> [widths]
+  widths: space-separated list, e.g. "640 1280 1920" (default: "1280")
+USAGE
+  exit 64
+fi
+
+input_dir=$1
+output_dir=$2
+widths=${3:-1280}
+
+for tool in ffmpeg ffprobe; do
+  if ! command -v "$tool" >/dev/null 2>&1; then
+    echo "error: $tool not found on PATH" >&2
+    exit 127
+  fi
+done
+
+if [[ ! -d $input_dir ]]; then
+  echo "error: input dir not found: $input_dir" >&2
+  exit 66
+fi
+
+mkdir -p "$output_dir"
+
+shopt -s nullglob nocaseglob
+sources=("$input_dir"/*.{mp4,mov,webm,mkv})
+shopt -u nullglob nocaseglob
+
+if [[ ${#sources[@]} -eq 0 ]]; then
+  echo "error: no source videos in $input_dir (looked for .mp4 .mov .webm .mkv)" >&2
+  exit 66
+fi
+
+for src in "${sources[@]}"; do
+  name=$(basename "$src")
+  name=${name%.*}
+  echo "==> $name"
+
+  for w in $widths; do
+    webm_out="$output_dir/${name}-${w}.webm"
+    mp4_out="$output_dir/${name}-${w}.mp4"
+
+    echo "    encoding ${w}w VP9/WebM -> $webm_out"
+    ffmpeg -y -hide_banner -loglevel error \
+      -i "$src" \
+      -vf "scale=${w}:-2:flags=lanczos" \
+      -c:v libvpx-vp9 -b:v 0 -crf 32 -row-mt 1 -tile-columns 2 \
+      -c:a libopus -b:a 96k \
+      -f webm "$webm_out"
+
+    echo "    encoding ${w}w H.264/MP4 -> $mp4_out"
+    ffmpeg -y -hide_banner -loglevel error \
+      -i "$src" \
+      -vf "scale=${w}:-2:flags=lanczos" \
+      -c:v libx264 -crf 23 -preset slow -profile:v high -pix_fmt yuv420p \
+      -c:a aac -b:a 128k \
+      -movflags +faststart \
+      "$mp4_out"
+  done
+
+  poster_out="$output_dir/${name}-poster.jpg"
+  duration_raw=$(ffprobe -v error -show_entries format=duration \
+    -of default=noprint_wrappers=1:nokey=1 "$src" 2>/dev/null || true)
+  if [[ $duration_raw =~ ^[0-9]+([.][0-9]+)?$ ]]; then
+    duration="$duration_raw"
+  else
+    duration=0
+  fi
+  if awk -v d="$duration" 'BEGIN { exit !(d >= 1.0) }'; then
+    poster_seek=1
+  else
+    poster_seek=0
+  fi
+  echo "    extracting poster (t=${poster_seek}s) -> $poster_out"
+  ffmpeg -y -hide_banner -loglevel error \
+    -ss "$poster_seek" -i "$src" \
+    -vframes 1 -vf "scale=1280:-2:flags=lanczos" \
+    -q:v 4 \
+    "$poster_out"
+done
+
+echo "done. upload contents of $output_dir to media.comfy.org."

apps/website/src/assets/marketing/README.md

@@ -0,0 +1,51 @@
+# Marketing Assets
+
+Source images committed here are processed by Astro at build time and emitted
+as multiple formats (AVIF, WebP) at multiple widths (640w, 960w, 1280w, 1920w).
+
+## Usage
+
+Drop a high-resolution source image (PNG or JPG) here, then render it with
+Astro's built-in `<Picture>` component plus the shared defaults:
+
+```astro
+---
+import { Picture } from 'astro:assets'
+import {
+  MARKETING_FORMATS,
+  MARKETING_WIDTHS
+} from '../utils/marketingImage'
+import hero from '../assets/marketing/hero.png'
+---
+<Picture
+  src={hero}
+  alt="ComfyUI workflow preview"
+  formats={[...MARKETING_FORMATS]}
+  widths={[...MARKETING_WIDTHS]}
+  sizes="(max-width: 768px) 100vw, 50vw"
+/>
+```
+
+The component generates a `<picture>` element with `<source>` tags for AVIF
+and WebP, plus an `<img>` fallback. Output files are hashed and emitted under
+`dist/_website/` for long-term caching.
+
+A custom Astro wrapper component is intentionally not provided: Astro's
+discriminated union `LocalImageProps | RemoteImageProps` for `<Picture>` makes
+a thin wrapper that mutates `widths` / `formats` impractical to type safely
+without `as` casts. The shared constants give us the same consistency benefit
+without that cost.
+
+## When to use this vs. `media.comfy.org`
+
+- **Use `src/assets/marketing/`** for static marketing images that are part of
+  page content (hero shots, product imagery, illustrations). Build-time
+  processing gives you AVIF/WebP variants automatically.
+- **Use `media.comfy.org`** for video content, large/changing image libraries
+  (gallery), and anything shared across properties.
+
+## Source image guidelines
+
+- Provide the largest size you'll ever need (≥1920px wide).
+- PNG for screenshots/illustrations with sharp edges; JPG for photographs.
+- Astro will downscale; it will not upscale. Always supply at least 1920w.

apps/website/src/components/common/SiteFooter.vue

@@ -88,7 +88,7 @@ const contactColumn = {
     { label: t('footer.sales', locale), href: routes.contact },
     {
       label: t('footer.support', locale),
-      href: externalLinks.discord,
+      href: externalLinks.support,
       external: true
     },
     { label: t('footer.press', locale), href: 'mailto:press@comfy.org' }

apps/website/src/components/common/SiteVideo.vue

@@ -0,0 +1,68 @@
+<script setup lang="ts">
+import { cn } from '@comfyorg/tailwind-utils'
+import { computed } from 'vue'
+
+import { buildVideoSources, videoKey } from '../../utils/video'
+import type { VideoFormat } from '../../utils/video'
+
+const {
+  name,
+  baseUrl,
+  width = 1280,
+  formats = ['webm', 'mp4'],
+  poster,
+  alt,
+  autoplay = false,
+  loop = false,
+  muted = autoplay,
+  controls = false,
+  preload = autoplay ? 'auto' : 'metadata',
+  containerClass,
+  videoClass
+} = defineProps<{
+  name: string
+  baseUrl: string
+  width?: number
+  formats?: VideoFormat[]
+  poster?: string
+  alt?: string
+  autoplay?: boolean
+  loop?: boolean
+  muted?: boolean
+  controls?: boolean
+  preload?: 'auto' | 'metadata' | 'none'
+  containerClass?: string
+  videoClass?: string
+}>()
+
+const sources = computed(() =>
+  buildVideoSources({ name, baseUrl, width, formats })
+)
+const remountKey = computed(() => videoKey(sources.value))
+const decorative = computed(() => !alt && !controls)
+</script>
+
+<template>
+  <div :class="cn('relative', containerClass)">
+    <video
+      :key="remountKey"
+      :class="cn('size-full', videoClass)"
+      :poster
+      :preload
+      :autoplay
+      :loop
+      :muted
+      :controls
+      :aria-label="alt"
+      :aria-hidden="decorative ? true : undefined"
+      playsinline
+    >
+      <source
+        v-for="source in sources"
+        :key="source.src"
+        :src="source.src"
+        :type="source.type"
+      />
+    </video>
+  </div>
+</template>

apps/website/src/components/home/CaseStudySpotlightSection.vue

@@ -35,7 +35,10 @@ const routes = getRoutes(locale)
       </div>
 
       <!-- Right: content -->
-      <div class="flex flex-col justify-between p-6 lg:flex-1">
+      <div
+        data-testid="case-study-content"
+        class="flex flex-col justify-between p-6 lg:flex-1"
+      >
         <div class="flex flex-col gap-8">
           <p
             class="text-primary-comfy-yellow text-sm font-bold tracking-widest uppercase"
@@ -52,12 +55,8 @@ const routes = getRoutes(locale)
           </p>
         </div>
 
-        <div class="flex flex-col gap-3 sm:flex-row">
-          <BrandButton
-            :href="routes.customers"
-            variant="outline"
-            class="flex-1 text-center"
-          >
+        <div class="mt-8 flex flex-col items-start gap-3 sm:flex-row lg:mt-0">
+          <BrandButton :href="routes.customers" variant="outline">
             {{ t('caseStudy.seeAll', locale) }}
           </BrandButton>
         </div>

apps/website/src/components/home/HeroSection.vue

@@ -1,6 +1,8 @@
 <script setup lang="ts">
 import type { Locale } from '../../i18n/translations'
+import { externalLinks } from '../../config/routes'
 import { t } from '../../i18n/translations'
+import BrandButton from '../common/BrandButton.vue'
 
 const { locale = 'en' } = defineProps<{ locale?: Locale }>()
 </script>
@@ -32,6 +34,15 @@ const { locale = 'en' } = defineProps<{ locale?: Locale }>()
       >
         {{ t('hero.subtitle', locale) }}
       </p>
+
+      <BrandButton
+        :href="externalLinks.workflows"
+        variant="outline"
+        size="lg"
+        class="mt-8 w-full p-4 uppercase lg:w-auto lg:min-w-60"
+      >
+        {{ t('hero.runFirstWorkflow', locale) }}
+      </BrandButton>
     </div>
   </section>
 </template>

apps/website/src/components/pricing/WhatsIncludedSection.vue

@@ -101,17 +101,9 @@ const features: IncludedFeature[] = [
               class="mt-0.5 size-4 shrink-0"
               aria-hidden="true"
             />
-            <div>
-              <p class="text-primary-comfy-canvas text-sm font-medium">
-                {{ t(feature.titleKey, locale) }}
-              </p>
-              <span
-                v-if="feature.isComingSoon"
-                class="text-primary-comfy-yellow mt-1 inline-block text-xs"
-              >
-                {{ t('pricing.included.comingSoon', locale) }}
-              </span>
-            </div>
+            <p class="text-primary-comfy-canvas text-sm font-medium">
+              {{ t(feature.titleKey, locale) }}
+            </p>
           </div>
 
           <!-- Description -->

apps/website/src/config/customerStories.ts

@@ -52,6 +52,15 @@ export const customerStories: CustomerStory[] = [
     detailPrefix: 'customers.detail.ubisoft-chord',
     readMoreHref:
       'https://blog.comfy.org/p/ubisoft-open-sources-the-chord-model'
+  },
+  {
+    slug: 'groove-jones',
+    image:
+      'https://media.comfy.org/website/customers/groove-jones/crocs-nfl-dicks-sporting-goods-fooh.webp',
+    category: 'customers.story.groove-jones.category',
+    title: 'customers.story.groove-jones.title',
+    body: 'customers.story.groove-jones.body',
+    detailPrefix: 'customers.detail.groove-jones'
   }
 ]
 

apps/website/src/config/routes.ts

@@ -35,6 +35,7 @@ export const externalLinks = {
   docsApi: 'https://docs.comfy.org/api-reference/cloud',
   github: 'https://github.com/Comfy-Org/ComfyUI',
   platform: 'https://platform.comfy.org',
+  support: 'https://support.comfy.org/hc/en-us',
   workflows: 'https://comfy.org/workflows',
   youtube: 'https://www.youtube.com/@ComfyOrg'
 } as const

apps/website/src/data/ashby-roles.snapshot.json

@@ -1,24 +1,10 @@
 {
-  "fetchedAt": "2026-04-24T18:59:03.989Z",
+  "fetchedAt": "2026-05-02T20:15:18.321Z",
   "departments": [
     {
       "name": "DESIGN",
       "key": "design",
       "roles": [
-        {
-          "id": "4c5d6afb78652df7",
-          "title": "Freelance Motion Designer",
-          "department": "Design",
-          "location": "San Francisco",
-          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/a7ccc2b4-4d9d-4e04-b39c-28a711995b5b/application"
-        },
-        {
-          "id": "0f5256cf302e552b",
-          "title": "Creative Artist",
-          "department": "Design",
-          "location": "San Francisco",
-          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/19ba10aa-4961-45e8-8473-66a8a7a8079d/application"
-        },
         {
           "id": "e915f2c78b17f93b",
           "title": "Senior Product Designer",
@@ -33,13 +19,6 @@
           "location": "San Francisco",
           "applyUrl": "https://jobs.ashbyhq.com/comfy-org/abc787b9-ad85-421c-8218-debd23bea096/application"
         },
-        {
-          "id": "5746486d87874937",
-          "title": "Graphic Designer",
-          "department": "Design",
-          "location": "San Francisco",
-          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/49fa0b07-3fa1-4a3a-b2c6-d2cc684ad63f/application"
-        },
         {
           "id": "547b6ba622c800a5",
           "title": "Senior Product Designer - Craft",
@@ -115,6 +94,13 @@
           "department": "Engineering",
           "location": "San Francisco",
           "applyUrl": "https://jobs.ashbyhq.com/comfy-org/9e4b9029-c3e9-436b-82c4-a1a9f1b8c16e/application"
+        },
+        {
+          "id": "2eb53e8943cc9396",
+          "title": "Growth Engineer",
+          "department": "Engineering",
+          "location": "San Francisco",
+          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/f1fdde76-84ae-48c1-b0f9-9654dd8e7de5/application"
         }
       ]
     },
@@ -122,6 +108,27 @@
       "name": "MARKETING",
       "key": "marketing",
       "roles": [
+        {
+          "id": "4c5d6afb78652df7",
+          "title": "Freelance Motion Designer",
+          "department": "Marketing",
+          "location": "San Francisco",
+          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/a7ccc2b4-4d9d-4e04-b39c-28a711995b5b/application"
+        },
+        {
+          "id": "0f5256cf302e552b",
+          "title": "Creative Artist",
+          "department": "Marketing",
+          "location": "San Francisco",
+          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/19ba10aa-4961-45e8-8473-66a8a7a8079d/application"
+        },
+        {
+          "id": "5746486d87874937",
+          "title": "Graphic Designer",
+          "department": "Marketing",
+          "location": "San Francisco",
+          "applyUrl": "https://jobs.ashbyhq.com/comfy-org/49fa0b07-3fa1-4a3a-b2c6-d2cc684ad63f/application"
+        },
         {
           "id": "b5803a0d4785d406",
           "title": "Lifecycle Growth Marketer",
@@ -144,7 +151,7 @@
       "roles": [
         {
           "id": "ec68ae44dd5943c9",
-          "title": "Senior Technical Recruiter",
+          "title": "Talent Lead",
           "department": "Operations",
           "location": "San Francisco",
           "applyUrl": "https://jobs.ashbyhq.com/comfy-org/d5008532-c45d-46e6-ba2c-20489d364362/application"

apps/website/src/i18n/translations.ts

@@ -11,6 +11,10 @@ const translations = {
     'zh-CN':
       'Comfy 是面向专业视觉人士的 AI 创作引擎。您可以精确掌控每个模型、每个参数和每个输出。'
   },
+  'hero.runFirstWorkflow': {
+    en: 'Run your first workflow',
+    'zh-CN': '运行你的第一个工作流'
+  },
 
   // ProductShowcaseSection
   'showcase.subtitle1': {
@@ -910,9 +914,9 @@ const translations = {
     'zh-CN': '我应该选择 Comfy Cloud 还是本地 ComfyUI（自托管）？'
   },
   'cloud.faq.3.a': {
-    en: "Comfy Cloud (beta) has zero setup, is easy to share with your team, and is faster than most GPUs you can run on a desktop workstation. You can immediately run the best models and workflows from the community on Comfy Cloud.\nLocal ComfyUI is infinitely customizable, works offline, and you don't need to worry about queue times. However, depending on what you want to create, you might need to have a good GPU and some amount of technical knowledge to install community-created custom nodes.",
+    en: "Comfy Cloud has zero setup, is easy to share with your team, and is faster than most GPUs you can run on a desktop workstation. You can immediately run the best models and workflows from the community on Comfy Cloud.\nLocal ComfyUI is infinitely customizable, works offline, and you don't need to worry about queue times. However, depending on what you want to create, you might need to have a good GPU and some amount of technical knowledge to install community-created custom nodes.",
     'zh-CN':
-      'Comfy Cloud（测试版）无需任何设置，方便与团队共享，比大多数桌面工作站 GPU 更快。您可以立即在 Comfy Cloud 上运行社区中最好的模型和工作流。\n本地 ComfyUI 可以无限定制，支持离线工作，无需担心排队时间。但根据您的创作需求，可能需要一块好的 GPU 以及一定的技术知识来安装社区创建的自定义节点。'
+      'Comfy Cloud 无需任何设置，方便与团队共享，比大多数桌面工作站 GPU 更快。您可以立即在 Comfy Cloud 上运行社区中最好的模型和工作流。\n本地 ComfyUI 可以无限定制，支持离线工作，无需担心排队时间。但根据您的创作需求，可能需要一块好的 GPU 以及一定的技术知识来安装社区创建的自定义节点。'
   },
   'cloud.faq.4.q': {
     en: 'Do I need a GPU or a strong computer to use Comfy Cloud?',
@@ -1276,10 +1280,6 @@ const translations = {
     en: 'Run multiple workflows in parallel to speed up your pipeline.',
     'zh-CN': '并行运行多个工作流，加速你的流程。'
   },
-  'pricing.included.comingSoon': {
-    en: 'coming soon',
-    'zh-CN': '即将推出'
-  },
 
   // VideoPlayer
   'player.play': { en: 'Play', 'zh-CN': '播放' },
@@ -2243,6 +2243,20 @@ const translations = {
     'zh-CN':
       '育碧 La Forge 开源了 CHORD PBR 材质估算模型及 ComfyUI 自定义节点，为 AAA 游戏制作实现了端到端的纹理生成工作流。'
   },
+  'customers.story.groove-jones.category': {
+    en: 'CASE STUDY',
+    'zh-CN': '案例研究'
+  },
+  'customers.story.groove-jones.title': {
+    en: "How Groove Jones Delivered a Holiday FOOH Campaign for Dick's Sporting Goods with Comfy",
+    'zh-CN':
+      "Groove Jones 如何借助 Comfy 为 Dick's Sporting Goods 打造节日 FOOH 营销"
+  },
+  'customers.story.groove-jones.body': {
+    en: 'Groove Jones, a Dallas-based creative studio, used Comfy to deliver a hyper-realistic FOOH holiday campaign for the Crocs x NFL collection on a fast-approaching deadline.',
+    'zh-CN':
+      '达拉斯创意工作室 Groove Jones 借助 Comfy，在紧迫的节日档期内为 Crocs x NFL 联名系列交付了超写实的 FOOH 营销内容。'
+  },
   'customers.story.readMore': {
     en: 'READ MORE ON THIS TOPIC',
     'zh-CN': '阅读更多相关内容'
@@ -3276,6 +3290,227 @@ const translations = {
     'zh-CN': 'ComfyUI 博客'
   },
 
+  // Customer Detail: Groove Jones
+  // Topic 1: Intro
+  'customers.detail.groove-jones.topic-1.label': {
+    en: 'INTRO',
+    'zh-CN': '简介'
+  },
+  'customers.detail.groove-jones.topic-1.block.0': {
+    en: 'Groove Jones, a Dallas-based creative studio, builds AI-driven campaigns and immersive experiences for major brands where photoreal polish, creative ambition, and social-ready speed all have to land together. As their work expanded across AI Video, AR, VR, and WebGL for clients like Crocs, the NFL, and Dick\u2019s Sporting Goods, they faced a recurring challenge: delivering feature-film-quality VFX on commercial timelines and budgets.',
+    'zh-CN':
+      '位于达拉斯的创意工作室 Groove Jones，为众多大牌客户打造由 AI 驱动的营销活动和沉浸式体验，需要同时兼顾照片级的精细度、创意野心，以及适配社交媒体的交付速度。随着他们为 Crocs、NFL 和 Dick\u2019s Sporting Goods 等客户的工作扩展到 AI 视频、AR、VR 和 WebGL，他们反复遇到同一个挑战：用商业项目的工期和预算，交付电影级的 VFX 质量。'
+  },
+  'customers.detail.groove-jones.topic-1.block.1': {
+    en: 'For the Crocs x NFL collection holiday launch, that challenge came to a head. The brief called for hyper-realistic video of giant NFL-licensed Crocs parachuting into real Dick\u2019s Sporting Goods parking lots, across multiple locations, delivered on a fast-approaching holiday deadline. A live-action shoot plus a traditional CG pipeline was off the table.',
+    'zh-CN':
+      '在 Crocs x NFL 联名系列的节日上市项目中，这个挑战被推到了极致。Brief 要求制作超写实视频：巨型 NFL 授权 Crocs 鞋款跳伞落入多个真实的 Dick\u2019s Sporting Goods 停车场，并要在紧迫的节日档期前交付。实地拍摄加传统 CG 流水线的方案，已经完全行不通。'
+  },
+  // Topic 2: The Output
+  'customers.detail.groove-jones.topic-2.label': {
+    en: 'THE OUTPUT',
+    'zh-CN': '交付成果'
+  },
+  'customers.detail.groove-jones.topic-2.title': {
+    en: 'The Output Groove Jones Achieved Using Comfy',
+    'zh-CN': 'Groove Jones 借助 Comfy 实现的交付成果'
+  },
+  'customers.detail.groove-jones.topic-2.block.0': {
+    en: 'A full FOOH (faux out-of-home) social campaign delivered on a tight holiday deadline\nHyper-realistic videos of giant NFL-licensed Crocs parachuting onto Dick\u2019s Sporting Goods parking lots\nVertical 9:16 deliverables at 2K for Instagram Reels, TikTok, and YouTube Shorts\nSame-day iteration on client notes instead of week-long asset updates\nWinner, Aaron Awards 2024: Best AI Workflow for Production',
+    'zh-CN':
+      '在紧迫的节日档期内交付完整的 FOOH（虚构户外广告）社媒营销活动\n超写实视频：巨型 NFL 授权 Crocs 鞋款跳伞落入 Dick\u2019s Sporting Goods 停车场\n面向 Instagram Reels、TikTok、YouTube Shorts 的 9:16 竖屏 2K 交付物\n客户反馈当天迭代，不再需要数周的资产更新周期\n荣获 2024 年 Aaron Awards：最佳 AI 制作工作流奖'
+  },
+  // Topic 3: The Problem
+  'customers.detail.groove-jones.topic-3.label': {
+    en: 'THE PROBLEM',
+    'zh-CN': '挑战'
+  },
+  'customers.detail.groove-jones.topic-3.title': {
+    en: 'The Problem Groove Jones Was Trying to Solve',
+    'zh-CN': 'Groove Jones 试图解决的问题'
+  },
+  'customers.detail.groove-jones.topic-3.block.0': {
+    en: 'A traditional pipeline for this creative meant a live-action shoot at multiple store locations plus a full CG build: high-res modeling of every team\u2019s clog, look development, lighting, rendering, compositing, and a new render every time the client wanted a variation. It also meant a large crew (modelers, texture artists, lighting artists, compositors) and a schedule measured in months. Neither the budget nor the holiday window supported that path.',
+    'zh-CN':
+      '按照传统流水线做这个创意，意味着要在多家门店实地拍摄，加上完整的 CG 制作：每支球队鞋款的高精建模、look development、灯光、渲染、合成，客户每次想要新变体都要重新渲染。这也意味着庞大的团队（建模师、纹理师、灯光师、合成师），以及以"月"为单位的工期。无论是预算还是节日档期，都无法支撑这条路径。'
+  },
+  // Topic 4: How Comfy Solved the Problem
+  'customers.detail.groove-jones.topic-4.label': {
+    en: 'HOW COMFY SOLVED THE PROBLEM',
+    'zh-CN': 'Comfy 如何解决问题'
+  },
+  'customers.detail.groove-jones.topic-4.title': {
+    en: 'How Groove Jones Used Comfy to Solve the Problem',
+    'zh-CN': 'Groove Jones 如何用 Comfy 解决问题'
+  },
+  'customers.detail.groove-jones.topic-4.block.0': {
+    en: 'Groove Jones\u2019s Senior Creative Technologist, Doug Hogan, rebuilt the production process around Comfy\u2019s node-based workflow system, using their proprietary GrooveTech GenVFX pipeline. Custom LoRAs handled brand accuracy, a single Comfy graph orchestrated multiple generative models, and Nuke handled final polish. For a team with feature-film and commercial roots, the environment was immediately familiar.',
+    'zh-CN':
+      'Groove Jones 的高级创意技术总监 Doug Hogan 围绕 Comfy 的节点式工作流系统重新搭建了制作流程，并基于他们自研的 GrooveTech GenVFX 流水线展开。自定义 LoRA 负责保证品牌一致性，一张 Comfy 图编排多个生成模型，Nuke 负责最终精修。对于有电影和广告制作背景的团队，这套环境上手没有任何门槛。'
+  },
+  'customers.detail.groove-jones.topic-4.block.1.text': {
+    en: 'Comfy felt very similar to working inside a traditional CG and compositing pipeline. Node-based logic, clear data flow, modular builds. It felt natural to our artists already.',
+    'zh-CN':
+      'Comfy 用起来非常像传统 CG 和合成流水线：节点逻辑、清晰的数据流、模块化构建。我们的艺术家用起来毫无违和感。'
+  },
+  'customers.detail.groove-jones.topic-4.block.1.name': {
+    en: 'Doug Hogan | Senior Creative Technologist @ Groove Jones',
+    'zh-CN': 'Doug Hogan | Groove Jones 高级创意技术总监'
+  },
+  // Topic 5: Brand-Trained LoRAs
+  'customers.detail.groove-jones.topic-5.label': {
+    en: 'BRAND-TRAINED LORAS',
+    'zh-CN': '品牌定制 LORA'
+  },
+  'customers.detail.groove-jones.topic-5.title': {
+    en: 'Brand-Trained LoRAs for Hero Assets',
+    'zh-CN': '为主视觉资产定制的品牌 LoRA'
+  },
+  'customers.detail.groove-jones.topic-5.block.0': {
+    en: 'Groove Jones trained custom LoRAs on the Crocs NFL Team Clogs and on Dick\u2019s Sporting Goods storefronts, so every generation came out anchored in brand-accurate references. Real team colorways, real product silhouettes, and real store exteriors stayed consistent across shots without per-frame correction, replacing what would normally take weeks of manual look development.',
+    'zh-CN':
+      'Groove Jones 基于 Crocs NFL 球队联名鞋款和 Dick\u2019s Sporting Goods 门店外景训练了定制 LoRA，让每一次生成都能锚定品牌精准的参考素材。真实的球队配色、产品轮廓和门店外观在不同镜头之间保持一致，不需要逐帧修正——而这通常意味着数周的 look development 工作量。'
+  },
+  'customers.detail.groove-jones.topic-5.block.1.src': {
+    en: 'https://media.comfy.org/website/customers/groove-jones/nfl-crocs-team-lineup.webp',
+    'zh-CN':
+      'https://media.comfy.org/website/customers/groove-jones/nfl-crocs-team-lineup.webp'
+  },
+  'customers.detail.groove-jones.topic-5.block.1.alt': {
+    en: 'Grid of brand-accurate NFL team Crocs generated via custom LoRAs',
+    'zh-CN': '通过定制 LoRA 生成的多支 NFL 球队联名 Crocs 网格'
+  },
+  'customers.detail.groove-jones.topic-5.block.1.caption': {
+    en: 'Brand-accurate NFL team colorways generated through custom LoRAs.',
+    'zh-CN': '通过定制 LoRA 生成的、与品牌精准一致的 NFL 球队配色。'
+  },
+  // Topic 6: Multi-Model Orchestration
+  'customers.detail.groove-jones.topic-6.label': {
+    en: 'MULTI-MODEL ORCHESTRATION',
+    'zh-CN': '多模型编排'
+  },
+  'customers.detail.groove-jones.topic-6.title': {
+    en: 'Multi-Model Orchestration in a Single Graph',
+    'zh-CN': '单张图内的多模型编排'
+  },
+  'customers.detail.groove-jones.topic-6.block.0': {
+    en: 'The creative required different generative models at different stages: Flux for key-frame still development, Gemini Flash 2.5 (Nano Banana) for fast ideation and variants, and Veo 3.1 plus Moonvalley\u2019s Marey for final video generation. Comfy routed between all four inside one graph, so outputs from one model fed directly into the next without ever leaving the environment.',
+    'zh-CN':
+      '这个创意在不同阶段需要不同的生成模型：Flux 用于关键帧静帧开发，Gemini Flash 2.5（Nano Banana）用于快速构思和变体生成，Veo 3.1 加上 Moonvalley 的 Marey 用于最终的视频生成。Comfy 在一张图里就把这四个模型串起来，前一个模型的输出直接喂给下一个模型，全程无需切换环境。'
+  },
+  'customers.detail.groove-jones.topic-6.block.1.text': {
+    en: 'The Comfy community develops at an almost exponential curve, and we were able to leverage their existing nodes and tools to solve very specific production challenges instead of reinventing the wheel ourselves.',
+    'zh-CN':
+      'Comfy 社区几乎是指数级增长的，我们可以直接利用社区已有的节点和工具去解决非常具体的制作问题，而不必自己重新造轮子。'
+  },
+  'customers.detail.groove-jones.topic-6.block.1.name': {
+    en: 'Dale Carman | Co-founder @ Groove Jones',
+    'zh-CN': 'Dale Carman | Groove Jones 联合创始人'
+  },
+  // Topic 7: The Pipeline
+  'customers.detail.groove-jones.topic-7.label': {
+    en: 'THE PIPELINE',
+    'zh-CN': '流水线'
+  },
+  'customers.detail.groove-jones.topic-7.title': {
+    en: 'Storyboards to Previz to Final Shot in One Pipeline',
+    'zh-CN': '从故事板到 Previz 再到成片，全部在一条流水线内'
+  },
+  'customers.detail.groove-jones.topic-7.block.0': {
+    en: 'The workflow opened with traditional storyboards for narrative approval, then moved into CGI blocking to lock composition, camera framing, and story beats. Comfy drove generation from there: the shoe drop, the parking lot reactions, the crowd coverage, and the environmental conversions that turned static summer storefronts into snow-covered holiday scenes, all inside the same graph.',
+    'zh-CN':
+      '工作流从传统故事板开始用于叙事确认，再进入 CGI blocking，锁定构图、镜头取景和叙事节奏。从这里开始 Comfy 接管生成：鞋款空投、停车场反应镜头、人群覆盖、把夏季静态门店外景转换成被雪覆盖的节日场景——全部在同一张图里完成。'
+  },
+  'customers.detail.groove-jones.topic-7.block.1.src': {
+    en: 'https://media.comfy.org/website/customers/groove-jones/nfl-crocs-dicks-storyboards.webp',
+    'zh-CN':
+      'https://media.comfy.org/website/customers/groove-jones/nfl-crocs-dicks-storyboards.webp'
+  },
+  'customers.detail.groove-jones.topic-7.block.1.alt': {
+    en: 'Storyboard grid for the Crocs x NFL holiday campaign',
+    'zh-CN': 'Crocs x NFL 节日营销的故事板网格'
+  },
+  'customers.detail.groove-jones.topic-7.block.1.caption': {
+    en: 'Grayscale storyboards used to lock narrative beats before generation.',
+    'zh-CN': '在生成之前用于锁定叙事节奏的灰度故事板。'
+  },
+  'customers.detail.groove-jones.topic-7.block.2.src': {
+    en: 'https://media.comfy.org/website/customers/groove-jones/nfl-crocs-fooh-sequence.webp',
+    'zh-CN':
+      'https://media.comfy.org/website/customers/groove-jones/nfl-crocs-fooh-sequence.webp'
+  },
+  'customers.detail.groove-jones.topic-7.block.2.alt': {
+    en: 'Composition progression from blocking to mid-render to final shot',
+    'zh-CN': '从 blocking 到中间渲染再到最终镜头的构图演进'
+  },
+  'customers.detail.groove-jones.topic-7.block.2.caption': {
+    en: 'Composition progression: wireframe blocking, mid-render, and final shot.',
+    'zh-CN': '构图演进：线框 blocking、中间渲染、最终成片。'
+  },
+  // Topic 8: Version Control
+  'customers.detail.groove-jones.topic-8.label': {
+    en: 'VERSION CONTROL',
+    'zh-CN': '版本管理'
+  },
+  'customers.detail.groove-jones.topic-8.title': {
+    en: 'Workflow Files as Version Control',
+    'zh-CN': '把工作流文件当作版本管理'
+  },
+  'customers.detail.groove-jones.topic-8.block.0': {
+    en: 'Every variant of every shot lived as a Comfy workflow file, which doubled as version control. When notes came in requesting a different team colorway, store exterior, or time of day, the team duplicated a branch instead of rebuilding, which made same-day iteration possible. GPU usage and API credit burn were trackable inside the same environment as the work itself, giving Production real-time visibility into compute cost per iteration.',
+    'zh-CN':
+      '每个镜头的每个变体都以 Comfy 工作流文件的形式存在，文件本身就是版本管理。当客户反馈要求换一支球队配色、换一个门店外景或者换一个时间段时，团队只需复制一个分支，而不是重建——这才让"当天迭代"成为可能。GPU 使用量和 API 额度消耗也都能在同一个环境里追踪到，让制作部门实时看到每次迭代的算力成本。'
+  },
+  // Topic 9: Finishing in Nuke
+  'customers.detail.groove-jones.topic-9.label': {
+    en: 'FINISHING IN NUKE',
+    'zh-CN': 'Nuke 终修'
+  },
+  'customers.detail.groove-jones.topic-9.title': {
+    en: 'Finishing in Nuke',
+    'zh-CN': '在 Nuke 中完成终修'
+  },
+  'customers.detail.groove-jones.topic-9.block.0': {
+    en: 'Generated shots moved into Nuke for final compositing: falling snow, camera shake, crowd ambience, holiday audio, and 2K mastering in 9:16 for Instagram Reels, TikTok, and YouTube Shorts. Because Comfy handled generation cleanly, Nuke focused on polish and motion enhancement rather than patching generative artifacts.',
+    'zh-CN':
+      '生成的镜头进入 Nuke 完成最终合成：飘雪、镜头抖动、人群环境音、节日氛围音效，以及面向 Instagram Reels、TikTok、YouTube Shorts 的 9:16 2K 母带。由于 Comfy 把生成环节处理得很干净，Nuke 可以专注于精修和动态增强，而不是去修补生成模型留下的瑕疵。'
+  },
+  // Topic 10: The Takeaway
+  'customers.detail.groove-jones.topic-10.label': {
+    en: 'THE TAKEAWAY',
+    'zh-CN': '总结'
+  },
+  'customers.detail.groove-jones.topic-10.title': {
+    en: 'Conclusion',
+    'zh-CN': '结语'
+  },
+  'customers.detail.groove-jones.topic-10.block.0': {
+    en: 'By building the FOOH pipeline inside Comfy, Groove Jones turned a brief that would have required an expensive live-action shoot plus months of CG into a fast, iterative, single-environment workflow the client could direct in real time. The project recently won the Aaron Award for Best AI Workflow for Production.',
+    'zh-CN':
+      '通过在 Comfy 中搭建整套 FOOH 流水线，Groove Jones 把一个原本需要昂贵实地拍摄加数月 CG 制作的项目，变成了一套高速迭代、单一环境、客户可以实时指挥的工作流。该项目近期还荣获 Aaron Award 的"最佳 AI 制作工作流"奖。'
+  },
+  'customers.detail.groove-jones.topic-10.block.1.text': {
+    en: 'At Groove Jones, we care deeply about delivering work that makes people say WOW! But we also care about delivering on time and on budget. VFX projects used to operate at razor thin margins. Comfy solved that for us.',
+    'zh-CN':
+      '在 Groove Jones，我们非常在意交付让人说"WOW！"的作品，但我们同样在意按时按预算交付。VFX 项目以前的利润率薄得像刀刃，Comfy 帮我们彻底解决了这个问题。'
+  },
+  'customers.detail.groove-jones.topic-10.block.1.name': {
+    en: 'Dale Carman | Co-founder @ Groove Jones',
+    'zh-CN': 'Dale Carman | Groove Jones 联合创始人'
+  },
+  'customers.detail.groove-jones.topic-10.block.2.label': {
+    en: 'GROOVE JONES CONTRIBUTORS',
+    'zh-CN': 'GROOVE JONES 贡献者'
+  },
+  'customers.detail.groove-jones.topic-10.block.2.name': {
+    en: 'TBD',
+    'zh-CN': '待补充'
+  },
+  'customers.detail.groove-jones.topic-10.block.2.role': {
+    en: 'TBD',
+    'zh-CN': '待补充'
+  },
+
   // Contact – FormSection
   'contact.form.badge': {
     en: 'CONTACT SALES',

apps/website/src/utils/marketingImage.ts

@@ -0,0 +1,3 @@
+export const MARKETING_FORMATS = ['avif', 'webp'] as const
+
+export const MARKETING_WIDTHS = [640, 960, 1280, 1920] as const

apps/website/src/utils/video.test.ts

@@ -0,0 +1,111 @@
+import { describe, expect, it } from 'vitest'
+
+import { buildVideoSources, videoKey } from './video'
+
+describe('buildVideoSources', () => {
+  it('builds a source per requested format', () => {
+    const sources = buildVideoSources({
+      name: 'hero',
+      baseUrl: 'https://media.comfy.org/website/marketing',
+      width: 1280,
+      formats: ['webm', 'mp4']
+    })
+
+    expect(sources).toEqual([
+      {
+        src: 'https://media.comfy.org/website/marketing/hero-1280.webm',
+        type: 'video/webm',
+        format: 'webm'
+      },
+      {
+        src: 'https://media.comfy.org/website/marketing/hero-1280.mp4',
+        type: 'video/mp4',
+        format: 'mp4'
+      }
+    ])
+  })
+
+  it('preserves caller-supplied format order', () => {
+    const sources = buildVideoSources({
+      name: 'clip',
+      baseUrl: 'https://cdn.example.com/v',
+      width: 960,
+      formats: ['mp4', 'webm']
+    })
+
+    expect(sources.map((s) => s.format)).toEqual(['mp4', 'webm'])
+  })
+
+  it('strips a single trailing slash from baseUrl', () => {
+    const sources = buildVideoSources({
+      name: 'reel',
+      baseUrl: 'https://media.comfy.org/website/marketing/',
+      width: 1920,
+      formats: ['webm']
+    })
+
+    expect(sources[0]?.src).toBe(
+      'https://media.comfy.org/website/marketing/reel-1920.webm'
+    )
+  })
+
+  it('returns an empty list when no formats are requested', () => {
+    const sources = buildVideoSources({
+      name: 'x',
+      baseUrl: 'https://example.com',
+      width: 640,
+      formats: []
+    })
+
+    expect(sources).toEqual([])
+  })
+})
+
+describe('videoKey', () => {
+  it('changes when the source URL list changes', () => {
+    const at1280 = buildVideoSources({
+      name: 'hero',
+      baseUrl: 'https://media.comfy.org/m',
+      width: 1280,
+      formats: ['webm', 'mp4']
+    })
+    const at640 = buildVideoSources({
+      name: 'hero',
+      baseUrl: 'https://media.comfy.org/m',
+      width: 640,
+      formats: ['webm', 'mp4']
+    })
+
+    expect(videoKey(at1280)).not.toBe(videoKey(at640))
+  })
+
+  it('is stable across repeated calls with the same inputs', () => {
+    const args = {
+      name: 'hero',
+      baseUrl: 'https://media.comfy.org/m',
+      width: 1280,
+      formats: ['webm', 'mp4'] as const
+    }
+
+    expect(
+      videoKey(buildVideoSources({ ...args, formats: [...args.formats] }))
+    ).toBe(videoKey(buildVideoSources({ ...args, formats: [...args.formats] })))
+  })
+
+  it('reflects format-order changes', () => {
+    const webmFirst = buildVideoSources({
+      name: 'hero',
+      baseUrl: 'https://media.comfy.org/m',
+      width: 1280,
+      formats: ['webm', 'mp4']
+    })
+    const mp4First = buildVideoSources({
+      name: 'hero',
+      baseUrl: 'https://media.comfy.org/m',
+      width: 1280,
+      formats: ['mp4', 'webm']
+    })
+
+    expect(videoKey(webmFirst)).not.toBe(videoKey(mp4First))
+  })
+})

apps/website/src/utils/video.ts

@@ -0,0 +1,49 @@
+/** @knipIgnoreUsedByStackedPR */
+export type VideoFormat = 'webm' | 'mp4'
+
+/** @knipIgnoreUsedByStackedPR */
+export type VideoSource = {
+  src: string
+  type: `video/${VideoFormat}`
+  format: VideoFormat
+}
+
+const MIME_TYPES: Record<VideoFormat, VideoSource['type']> = {
+  webm: 'video/webm',
+  mp4: 'video/mp4'
+}
+
+type BuildArgs = {
+  name: string
+  baseUrl: string
+  width: number
+  formats: VideoFormat[]
+}
+
+/**
+ * Expects assets named `${name}-${width}.${format}` under `${baseUrl}/`,
+ * matching the output of `apps/website/scripts/process-videos.sh`.
+ */
+export function buildVideoSources({
+  name,
+  baseUrl,
+  width,
+  formats
+}: BuildArgs): VideoSource[] {
+  const base = baseUrl.endsWith('/') ? baseUrl.slice(0, -1) : baseUrl
+
+  return formats.map((format) => ({
+    src: `${base}/${name}-${width}.${format}`,
+    type: MIME_TYPES[format],
+    format
+  }))
+}
+
+/**
+ * Stable identifier for a list of video sources, suitable as a Vue `key`.
+ * Browsers do not reload a `<video>` when nested `<source>` children change;
+ * keying the parent forces a remount when the source set changes.
+ */
+export function videoKey(sources: VideoSource[]): string {
+  return sources.map((s) => s.src).join('|')
+}

knip.config.ts

@@ -54,6 +54,9 @@ const config: KnipConfig = {
     '.github/workflows/ci-oss-assets-validation.yaml',
     // Pending integration in stacked PR
     'src/components/sidebar/tabs/nodeLibrary/CustomNodesPanel.vue',
+    // Marketing media tooling — adopted by pages in a follow-up PR
+    'apps/website/src/components/common/SiteVideo.vue',
+    'apps/website/src/utils/marketingImage.ts',
     // Agent review check config, not part of the build
     '.agents/checks/eslint.strict.config.js',
     // Devtools extensions, included dynamically

packages/registry-types/src/comfyRegistryTypes.ts

@@ -13569,7 +13569,7 @@ export interface components {
             stream: boolean | null;
         };
         /** @enum {string} */
-        OpenAIModels: "gpt-4" | "gpt-4-0314" | "gpt-4-0613" | "gpt-4-32k" | "gpt-4-32k-0314" | "gpt-4-32k-0613" | "gpt-4-0125-preview" | "gpt-4-turbo" | "gpt-4-turbo-2024-04-09" | "gpt-4-turbo-preview" | "gpt-4-1106-preview" | "gpt-4-vision-preview" | "gpt-3.5-turbo" | "gpt-3.5-turbo-16k" | "gpt-3.5-turbo-0301" | "gpt-3.5-turbo-0613" | "gpt-3.5-turbo-1106" | "gpt-3.5-turbo-0125" | "gpt-3.5-turbo-16k-0613" | "gpt-4.1" | "gpt-4.1-mini" | "gpt-4.1-nano" | "gpt-4.1-2025-04-14" | "gpt-4.1-mini-2025-04-14" | "gpt-4.1-nano-2025-04-14" | "o1" | "o1-mini" | "o1-preview" | "o1-pro" | "o1-2024-12-17" | "o1-preview-2024-09-12" | "o1-mini-2024-09-12" | "o1-pro-2025-03-19" | "o3" | "o3-mini" | "o3-2025-04-16" | "o3-mini-2025-01-31" | "o4-mini" | "o4-mini-2025-04-16" | "gpt-4o" | "gpt-4o-mini" | "gpt-4o-2024-11-20" | "gpt-4o-2024-08-06" | "gpt-4o-2024-05-13" | "gpt-4o-mini-2024-07-18" | "gpt-4o-audio-preview" | "gpt-4o-audio-preview-2024-10-01" | "gpt-4o-audio-preview-2024-12-17" | "gpt-4o-mini-audio-preview" | "gpt-4o-mini-audio-preview-2024-12-17" | "gpt-4o-search-preview" | "gpt-4o-mini-search-preview" | "gpt-4o-search-preview-2025-03-11" | "gpt-4o-mini-search-preview-2025-03-11" | "computer-use-preview" | "computer-use-preview-2025-03-11" | "gpt-5" | "gpt-5-mini" | "gpt-5-nano" | "chatgpt-4o-latest";
+        OpenAIModels: "gpt-4" | "gpt-4-0314" | "gpt-4-0613" | "gpt-4-32k" | "gpt-4-32k-0314" | "gpt-4-32k-0613" | "gpt-4-0125-preview" | "gpt-4-turbo" | "gpt-4-turbo-2024-04-09" | "gpt-4-turbo-preview" | "gpt-4-1106-preview" | "gpt-4-vision-preview" | "gpt-3.5-turbo" | "gpt-3.5-turbo-16k" | "gpt-3.5-turbo-0301" | "gpt-3.5-turbo-0613" | "gpt-3.5-turbo-1106" | "gpt-3.5-turbo-0125" | "gpt-3.5-turbo-16k-0613" | "gpt-4.1" | "gpt-4.1-mini" | "gpt-4.1-nano" | "gpt-4.1-2025-04-14" | "gpt-4.1-mini-2025-04-14" | "gpt-4.1-nano-2025-04-14" | "o1" | "o1-mini" | "o1-preview" | "o1-pro" | "o1-2024-12-17" | "o1-preview-2024-09-12" | "o1-mini-2024-09-12" | "o1-pro-2025-03-19" | "o3" | "o3-mini" | "o3-2025-04-16" | "o3-mini-2025-01-31" | "o4-mini" | "o4-mini-2025-04-16" | "gpt-4o" | "gpt-4o-mini" | "gpt-4o-2024-11-20" | "gpt-4o-2024-08-06" | "gpt-4o-2024-05-13" | "gpt-4o-mini-2024-07-18" | "gpt-4o-audio-preview" | "gpt-4o-audio-preview-2024-10-01" | "gpt-4o-audio-preview-2024-12-17" | "gpt-4o-mini-audio-preview" | "gpt-4o-mini-audio-preview-2024-12-17" | "gpt-4o-search-preview" | "gpt-4o-mini-search-preview" | "gpt-4o-search-preview-2025-03-11" | "gpt-4o-mini-search-preview-2025-03-11" | "computer-use-preview" | "computer-use-preview-2025-03-11" | "gpt-5" | "gpt-5-mini" | "gpt-5-nano" | "gpt-5.5" | "gpt-5.5-pro" | "chatgpt-4o-latest";
         MoonvalleyTextToVideoInferenceParams: {
             /**
              * @description Height of the generated video in pixels

scripts/generate-embedded-metadata-test-files.py

@@ -0,0 +1,177 @@
+#!/usr/bin/env python3
+"""
+Generate test fixture files for metadata parser tests.
+
+Each fixture embeds the same workflow and prompt JSON, matching the
+format the ComfyUI backend uses to write metadata.
+
+Prerequisites:
+    source ~/ComfyUI/.venv/bin/activate
+    python3 scripts/generate-embedded-metadata-test-files.py
+
+Output: src/scripts/metadata/__fixtures__/
+"""
+
+import json
+import os
+import struct
+import subprocess
+
+import av
+from PIL import Image
+
+REPO_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+FIXTURES_DIR = os.path.join(REPO_ROOT, 'src', 'scripts', 'metadata', '__fixtures__')
+
+WORKFLOW = {
+    'nodes': [
+        {
+            'id': 1,
+            'type': 'KSampler',
+            'pos': [100, 100],
+            'size': [200, 200],
+        }
+    ]
+}
+PROMPT = {'1': {'class_type': 'KSampler', 'inputs': {}}}
+
+WORKFLOW_JSON = json.dumps(WORKFLOW, separators=(',', ':'))
+PROMPT_JSON = json.dumps(PROMPT, separators=(',', ':'))
+
+
+def out(name: str) -> str:
+    return os.path.join(FIXTURES_DIR, name)
+
+
+def report(name: str):
+    size = os.path.getsize(out(name))
+    print(f'  {name} ({size} bytes)')
+
+
+def make_1x1_image() -> Image.Image:
+    return Image.new('RGB', (1, 1), (255, 0, 0))
+
+
+def build_exif_bytes() -> bytes:
+    """Build EXIF bytes matching the backend's tag assignments.
+
+    Backend: 0x010F (Make) = "workflow:<json>", 0x0110 (Model) = "prompt:<json>"
+    """
+    img = make_1x1_image()
+    exif = img.getexif()
+    exif[0x010F] = f'workflow:{WORKFLOW_JSON}'
+    exif[0x0110] = f'prompt:{PROMPT_JSON}'
+    return exif.tobytes()
+
+
+def inject_exif_prefix_in_webp(path: str):
+    """Prepend Exif\\0\\0 to the EXIF chunk in a WEBP file.
+
+    PIL always strips this prefix, so we re-inject it to test that code path.
+    """
+    data = bytearray(open(path, 'rb').read())
+    off = 12
+    while off < len(data):
+        chunk_type = data[off:off + 4]
+        chunk_len = struct.unpack_from('<I', data, off + 4)[0]
+        if chunk_type == b'EXIF':
+            prefix = b'Exif\x00\x00'
+            data[off + 8:off + 8] = prefix
+            struct.pack_into('<I', data, off + 4, chunk_len + len(prefix))
+            riff_size = struct.unpack_from('<I', data, 4)[0]
+            struct.pack_into('<I', data, 4, riff_size + len(prefix))
+            break
+        off += 8 + chunk_len + (chunk_len % 2)
+    with open(path, 'wb') as f:
+        f.write(data)
+
+
+def generate_av_fixture(
+    name: str,
+    fmt: str,
+    codec: str,
+    rate: int = 44100,
+    options: dict | None = None,
+):
+    """Generate an audio fixture via PyAV container.metadata[], matching the backend."""
+    path = out(name)
+    container = av.open(path, mode='w', format=fmt, options=options or {})
+    stream = container.add_stream(codec, rate=rate)
+    stream.layout = 'mono'
+
+    container.metadata['prompt'] = PROMPT_JSON
+    container.metadata['workflow'] = WORKFLOW_JSON
+
+    sample_fmt = stream.codec_context.codec.audio_formats[0].name
+    samples = stream.codec_context.frame_size or 1024
+    frame = av.AudioFrame(format=sample_fmt, layout='mono', samples=samples)
+    frame.rate = rate
+    frame.pts = 0
+    for packet in stream.encode(frame):
+        container.mux(packet)
+    for packet in stream.encode():
+        container.mux(packet)
+    container.close()
+    report(name)
+
+
+def generate_webp():
+    img = make_1x1_image()
+    exif = build_exif_bytes()
+
+    img.save(out('with_metadata.webp'), 'WEBP', exif=exif)
+    report('with_metadata.webp')
+
+    img.save(out('with_metadata_exif_prefix.webp'), 'WEBP', exif=exif)
+    inject_exif_prefix_in_webp(out('with_metadata_exif_prefix.webp'))
+    report('with_metadata_exif_prefix.webp')
+
+
+def generate_avif():
+    img = make_1x1_image()
+    exif = build_exif_bytes()
+    img.save(out('with_metadata.avif'), 'AVIF', exif=exif)
+    report('with_metadata.avif')
+
+
+def generate_flac():
+    generate_av_fixture('with_metadata.flac', 'flac', 'flac')
+
+
+def generate_opus():
+    generate_av_fixture('with_metadata.opus', 'opus', 'libopus', rate=48000)
+
+
+def generate_mp3():
+    generate_av_fixture('with_metadata.mp3', 'mp3', 'libmp3lame')
+
+
+def generate_mp4():
+    """Generate MP4 via ffmpeg CLI with QuickTime keys/ilst metadata."""
+    path = out('with_metadata.mp4')
+    subprocess.run([
+        'ffmpeg', '-y', '-loglevel', 'error',
+        '-f', 'lavfi', '-i', 'anullsrc=r=44100:cl=mono',
+        '-t', '0.01', '-c:a', 'aac', '-b:a', '32k',
+        '-movflags', 'use_metadata_tags',
+        '-metadata', f'prompt={PROMPT_JSON}',
+        '-metadata', f'workflow={WORKFLOW_JSON}',
+        path,
+    ], check=True)
+    report('with_metadata.mp4')
+
+
+def generate_webm():
+    generate_av_fixture('with_metadata.webm', 'webm', 'libvorbis')
+
+
+if __name__ == '__main__':
+    print('Generating fixtures...')
+    generate_webp()
+    generate_avif()
+    generate_flac()
+    generate_opus()
+    generate_mp3()
+    generate_mp4()
+    generate_webm()
+    print('Done.')

src/components/queue/JobHistoryActionsMenu.vue

@@ -98,6 +98,7 @@ import { useQueueFeatureFlags } from '@/composables/queue/useQueueFeatureFlags'
 import { buildTooltipConfig } from '@/composables/useTooltipConfig'
 import { isCloud } from '@/platform/distribution/types'
 import { useSettingStore } from '@/platform/settings/settingStore'
+import { useSurveyFeatureTracking } from '@/platform/surveys/useSurveyFeatureTracking'
 import { useSidebarTabStore } from '@/stores/workspace/sidebarTabStore'
 
 const emit = defineEmits<{
@@ -107,6 +108,7 @@ const emit = defineEmits<{
 const { t } = useI18n()
 const settingStore = useSettingStore()
 const sidebarTabStore = useSidebarTabStore()
+const { trackFeatureUsed } = useSurveyFeatureTracking('queue-progress-overlay')
 
 const moreTooltipConfig = computed(() => buildTooltipConfig(t('g.more')))
 const { isQueuePanelV2Enabled, isRunProgressBarEnabled } =
@@ -119,6 +121,7 @@ const onClearHistoryFromMenu = (close: () => void) => {
 }
 
 const onToggleDockedJobHistory = async (close: () => void) => {
+  trackFeatureUsed()
   close()
 
   try {
@@ -138,6 +141,7 @@ const onToggleDockedJobHistory = async (close: () => void) => {
 }
 
 const onToggleRunProgressBar = async () => {
+  trackFeatureUsed()
   await settingStore.set(
     'Comfy.Queue.ShowRunProgressBar',
     !isRunProgressBarEnabled.value

src/components/queue/QueueOverlayExpanded.vue

@@ -13,7 +13,7 @@
       :selected-sort-mode="selectedSortMode"
       :has-failed-jobs="hasFailedJobs"
       @show-assets="$emit('showAssets')"
-      @update:selected-job-tab="$emit('update:selectedJobTab', $event)"
+      @update:selected-job-tab="onUpdateSelectedJobTab"
       @update:selected-workflow-filter="
         $emit('update:selectedWorkflowFilter', $event)
       "
@@ -50,6 +50,7 @@ import type {
 import type { MenuEntry } from '@/composables/queue/useJobMenu'
 import { useJobMenu } from '@/composables/queue/useJobMenu'
 import { useErrorHandling } from '@/composables/useErrorHandling'
+import { useSurveyFeatureTracking } from '@/platform/surveys/useSurveyFeatureTracking'
 
 import QueueOverlayHeader from './QueueOverlayHeader.vue'
 import JobContextMenu from './job/JobContextMenu.vue'
@@ -81,6 +82,7 @@ const emit = defineEmits<{
 const currentMenuItem = ref<JobListItem | null>(null)
 const jobContextMenuRef = ref<InstanceType<typeof JobContextMenu> | null>(null)
 const { wrapWithErrorHandlingAsync } = useErrorHandling()
+const { trackFeatureUsed } = useSurveyFeatureTracking('queue-progress-overlay')
 
 const { jobMenuEntries } = useJobMenu(
   () => currentMenuItem.value,
@@ -95,6 +97,11 @@ const onDeleteItemEvent = (item: JobListItem) => {
   emit('deleteItem', item)
 }
 
+const onUpdateSelectedJobTab = (value: JobTab) => {
+  trackFeatureUsed()
+  emit('update:selectedJobTab', value)
+}
+
 const onMenuItem = (item: JobListItem, event: Event) => {
   currentMenuItem.value = item
   jobContextMenuRef.value?.open(event)

src/components/queue/QueueProgressOverlay.vue

@@ -66,6 +66,7 @@ import { useResultGallery } from '@/composables/queue/useResultGallery'
 import { useErrorHandling } from '@/composables/useErrorHandling'
 import { useAssetSelectionStore } from '@/platform/assets/composables/useAssetSelectionStore'
 import { isCloud } from '@/platform/distribution/types'
+import { useSurveyFeatureTracking } from '@/platform/surveys/useSurveyFeatureTracking'
 import { api } from '@/scripts/api'
 import { useAssetsStore } from '@/stores/assetsStore'
 import { useCommandStore } from '@/stores/commandStore'
@@ -93,6 +94,7 @@ const assetsStore = useAssetsStore()
 const assetSelectionStore = useAssetSelectionStore()
 const { showQueueClearHistoryDialog } = useQueueClearHistoryDialog()
 const { wrapWithErrorHandlingAsync } = useErrorHandling()
+const { trackFeatureUsed } = useSurveyFeatureTracking('queue-progress-overlay')
 
 const {
   totalPercentFormatted,
@@ -188,6 +190,7 @@ const {
 const displayedJobGroups = computed(() => groupedJobItems.value)
 
 const onCancelItem = wrapWithErrorHandlingAsync(async (item: JobListItem) => {
+  trackFeatureUsed()
   const jobId = item.taskRef?.jobId
   if (!jobId) return
 
@@ -209,6 +212,7 @@ const onCancelItem = wrapWithErrorHandlingAsync(async (item: JobListItem) => {
 })
 
 const onDeleteItem = wrapWithErrorHandlingAsync(async (item: JobListItem) => {
+  trackFeatureUsed()
   if (!item.taskRef) return
   await queueStore.delete(item.taskRef)
 })
@@ -224,10 +228,12 @@ const setExpanded = (expanded: boolean) => {
 }
 
 const viewAllJobs = () => {
+  trackFeatureUsed()
   setExpanded(true)
 }
 
 const toggleAssetsSidebar = () => {
+  trackFeatureUsed()
   sidebarTabStore.toggleSidebarTab('assets')
 }
 
@@ -257,12 +263,14 @@ const focusAssetInSidebar = async (item: JobListItem) => {
 
 const inspectJobAsset = wrapWithErrorHandlingAsync(
   async (item: JobListItem) => {
+    trackFeatureUsed()
     await openResultGallery(item)
     await focusAssetInSidebar(item)
   }
 )
 
 const cancelQueuedWorkflows = wrapWithErrorHandlingAsync(async () => {
+  trackFeatureUsed()
   // Capture pending jobIds before clearing
   const pendingJobIds = queueStore.pendingTasks
     .map((task) => task.jobId)
@@ -275,6 +283,7 @@ const cancelQueuedWorkflows = wrapWithErrorHandlingAsync(async () => {
 })
 
 const interruptAll = wrapWithErrorHandlingAsync(async () => {
+  trackFeatureUsed()
   const tasks = queueStore.runningTasks
   const jobIds = tasks
     .map((task) => task.jobId)
@@ -298,6 +307,7 @@ const interruptAll = wrapWithErrorHandlingAsync(async () => {
 })
 
 const onClearHistoryFromMenu = () => {
+  trackFeatureUsed()
   showQueueClearHistoryDialog()
 }
 </script>

src/components/queue/job/JobFilterActions.vue

@@ -122,6 +122,7 @@ import Button from '@/components/ui/button/Button.vue'
 import { jobSortModes } from '@/composables/queue/useJobList'
 import type { JobSortMode } from '@/composables/queue/useJobList'
 import { buildTooltipConfig } from '@/composables/useTooltipConfig'
+import { useSurveyFeatureTracking } from '@/platform/surveys/useSurveyFeatureTracking'
 
 const {
   hideShowAssetsAction = false,
@@ -147,6 +148,7 @@ const emit = defineEmits<{
 }>()
 
 const { t } = useI18n()
+const { trackFeatureUsed } = useSurveyFeatureTracking('queue-progress-overlay')
 
 const filterTooltipConfig = computed(() =>
   buildTooltipConfig(t('sideToolbar.queueProgressOverlay.filterBy'))
@@ -170,6 +172,7 @@ const onSelectWorkflowFilter = (
   value: 'all' | 'current',
   close: () => void
 ) => {
+  trackFeatureUsed()
   selectWorkflowFilter(value)
   close()
 }
@@ -179,6 +182,7 @@ const selectSortMode = (value: JobSortMode) => {
 }
 
 const onSelectSortMode = (value: JobSortMode, close: () => void) => {
+  trackFeatureUsed()
   selectSortMode(value)
   close()
 }

src/components/sidebar/tabs/JobHistorySidebarTab.vue

@@ -2,15 +2,16 @@
   <SidebarTabTemplate :title="$t('queue.jobHistory')">
     <template #alt-title>
       <div class="ml-auto flex shrink-0 items-center">
-        <JobHistoryActionsMenu @clear-history="showQueueClearHistoryDialog" />
+        <JobHistoryActionsMenu @clear-history="onClearHistory" />
       </div>
     </template>
     <template #header>
       <div class="flex flex-col gap-2 pb-1">
         <div class="px-3 py-2">
           <JobFilterTabs
-            v-model:selected-job-tab="selectedJobTab"
+            :selected-job-tab="selectedJobTab"
             :has-failed-jobs="hasFailedJobs"
+            @update:selected-job-tab="onUpdateSelectedJobTab"
           />
         </div>
         <JobFilterActions
@@ -81,13 +82,14 @@ import JobHistoryActionsMenu from '@/components/queue/JobHistoryActionsMenu.vue'
 import type { MenuEntry } from '@/composables/queue/useJobMenu'
 import { useJobMenu } from '@/composables/queue/useJobMenu'
 import { useJobList } from '@/composables/queue/useJobList'
-import type { JobListItem } from '@/composables/queue/useJobList'
+import type { JobListItem, JobTab } from '@/composables/queue/useJobList'
 import { useQueueClearHistoryDialog } from '@/composables/queue/useQueueClearHistoryDialog'
 import { useResultGallery } from '@/composables/queue/useResultGallery'
 import { useErrorHandling } from '@/composables/useErrorHandling'
 import SidebarTabTemplate from '@/components/sidebar/tabs/SidebarTabTemplate.vue'
 import MediaLightbox from '@/components/sidebar/tabs/queue/MediaLightbox.vue'
 import Button from '@/components/ui/button/Button.vue'
+import { useSurveyFeatureTracking } from '@/platform/surveys/useSurveyFeatureTracking'
 import { useCommandStore } from '@/stores/commandStore'
 import { useDialogStore } from '@/stores/dialogStore'
 import { useExecutionStore } from '@/stores/executionStore'
@@ -104,6 +106,17 @@ const executionStore = useExecutionStore()
 const queueStore = useQueueStore()
 const { showQueueClearHistoryDialog } = useQueueClearHistoryDialog()
 const { wrapWithErrorHandlingAsync } = useErrorHandling()
+const { trackFeatureUsed } = useSurveyFeatureTracking('queue-progress-overlay')
+
+const onClearHistory = () => {
+  trackFeatureUsed()
+  showQueueClearHistoryDialog()
+}
+
+const onUpdateSelectedJobTab = (value: JobTab) => {
+  trackFeatureUsed()
+  selectedJobTab.value = value
+}
 const {
   selectedJobTab,
   selectedWorkflowFilter,
@@ -145,6 +158,7 @@ const activeQueueSummary = computed(() => {
 })
 
 const clearQueuedWorkflows = wrapWithErrorHandlingAsync(async () => {
+  trackFeatureUsed()
   const pendingJobIds = queueStore.pendingTasks
     .map((task) => task.jobId)
     .filter((id): id is string => typeof id === 'string' && id.length > 0)
@@ -160,6 +174,7 @@ const {
 } = useResultGallery(() => filteredTasks.value)
 
 const onViewItem = wrapWithErrorHandlingAsync(async (item: JobListItem) => {
+  trackFeatureUsed()
   const previewOutput = item.taskRef?.previewOutput
 
   if (previewOutput?.is3D) {
@@ -194,10 +209,12 @@ const { jobMenuEntries, cancelJob } = useJobMenu(
 )
 
 const onCancelItem = wrapWithErrorHandlingAsync(async (item: JobListItem) => {
+  trackFeatureUsed()
   await cancelJob(item)
 })
 
 const onDeleteItem = wrapWithErrorHandlingAsync(async (item: JobListItem) => {
+  trackFeatureUsed()
   if (!item.taskRef) return
   await queueStore.delete(item.taskRef)
 })

src/components/toast/ProgressToastItem.test.ts

@@ -0,0 +1,51 @@
+import { render, screen } from '@testing-library/vue'
+import { describe, expect, it } from 'vitest'
+import { createI18n } from 'vue-i18n'
+
+import type { AssetDownload } from '@/stores/assetDownloadStore'
+
+import ProgressToastItem from './ProgressToastItem.vue'
+
+const i18n = createI18n({
+  legacy: false,
+  locale: 'en',
+  messages: {
+    en: {
+      progressToast: {
+        finished: 'Finished',
+        failed: 'Failed',
+        pending: 'Pending'
+      }
+    }
+  }
+})
+
+function completedJob(): AssetDownload {
+  return {
+    taskId: 'task-1',
+    assetId: 'asset-1',
+    assetName: 'controlnet-canny.safetensors',
+    bytesTotal: 100,
+    bytesDownloaded: 100,
+    progress: 1,
+    status: 'completed',
+    lastUpdate: Date.now()
+  }
+}
+
+describe('ProgressToastItem — completed state', () => {
+  it('keeps the finished badge outside the dimmed (opacity-50) subtree', () => {
+    render(ProgressToastItem, {
+      props: { job: completedJob() },
+      global: { plugins: [i18n] }
+    })
+
+    const badge = screen.getByText('Finished')
+    // eslint-disable-next-line testing-library/no-node-access -- verifying structural placement of opacity-50 boundary, which is the subject of this fix
+    expect(badge.closest('.opacity-50')).toBeNull()
+
+    const assetName = screen.getByText('controlnet-canny.safetensors')
+    // eslint-disable-next-line testing-library/no-node-access -- verifying structural placement of opacity-50 boundary, which is the subject of this fix
+    expect(assetName.closest('.opacity-50')).not.toBeNull()
+  })
+})

src/components/toast/ProgressToastItem.vue

@@ -22,14 +22,9 @@ const isPending = computed(() => job.status === 'created')
 
 <template>
   <div
-    :class="
-      cn(
-        'flex items-center justify-between rounded-lg bg-modal-card-background px-4 py-3',
-        isCompleted && 'opacity-50'
-      )
-    "
+    class="flex items-center justify-between rounded-lg bg-modal-card-background px-4 py-3"
   >
-    <div class="min-w-0 flex-1">
+    <div :class="cn('min-w-0 flex-1', isCompleted && 'opacity-50')">
       <span class="block truncate text-sm text-base-foreground">{{
         job.assetName
       }}</span>

src/extensions/core/load3d/SceneModelManager.test.ts

@@ -102,6 +102,16 @@ function createMeshModel(name = 'TestModel'): THREE.Group {
   return group
 }
 
+function createPointsModel(name = 'TestModel'): THREE.Group {
+  const geometry = new THREE.BufferGeometry()
+  const material = new THREE.PointsMaterial({ color: 0xff0000 })
+  const points = new THREE.Points(geometry, material)
+  const group = new THREE.Group()
+  group.name = name
+  group.add(points)
+  return group
+}
+
 describe('SceneModelManager', () => {
   describe('constructor', () => {
     it('initializes default state', () => {
@@ -311,6 +321,20 @@ describe('SceneModelManager', () => {
       expect(geoDispose).toHaveBeenCalled()
       expect(matDispose).toHaveBeenCalled()
     })
+
+    it('disposes points geometry and materials', async () => {
+      const { manager } = createManager()
+      const model = createPointsModel()
+      const points = model.children[0] as THREE.Points
+      const geoDispose = vi.spyOn(points.geometry, 'dispose')
+      const matDispose = vi.spyOn(points.material as THREE.Material, 'dispose')
+
+      await manager.setupModel(model)
+      manager.clearModel()
+
+      expect(geoDispose).toHaveBeenCalled()
+      expect(matDispose).toHaveBeenCalled()
+    })
   })
 
   describe('reset', () => {

src/extensions/core/load3d/SceneModelManager.ts

@@ -328,7 +328,7 @@ export class SceneModelManager implements ModelManagerInterface {
       this.scene.remove(obj)
 
       obj.traverse((child) => {
-        if (child instanceof THREE.Mesh) {
+        if (child instanceof THREE.Mesh || child instanceof THREE.Points) {
           child.geometry?.dispose()
           if (Array.isArray(child.material)) {
             child.material.forEach((material) => material.dispose())

src/platform/assets/composables/useMediaAssetActions.ts

@@ -633,6 +633,14 @@ export function useMediaAssetActions() {
               )
 
               if (hasOutputAssets) {
+                const succeededOutputIds = assetArray
+                  .filter(
+                    (a, i) =>
+                      getAssetType(a) === 'output' &&
+                      results[i].status === 'fulfilled'
+                  )
+                  .map((a) => a.id)
+                assetsStore.removeHistoryItems(succeededOutputIds)
                 await assetsStore.updateHistory()
               }
               if (hasInputAssets) {

src/platform/assets/services/assetService.test.ts

@@ -1,7 +1,12 @@
 import { beforeEach, describe, expect, it, vi } from 'vitest'
 
 import type { AssetItem } from '@/platform/assets/schemas/assetSchema'
-import { assetService } from '@/platform/assets/services/assetService'
+import {
+  MISSING_TAG,
+  assetService,
+  isBlake3AssetHash,
+  toBlake3AssetHash
+} from '@/platform/assets/services/assetService'
 import { api } from '@/scripts/api'
 
 const mockDistributionState = vi.hoisted(() => ({ isCloud: false }))
@@ -44,6 +49,10 @@ vi.mock('@/i18n', () => ({
 
 const fetchApiMock = vi.mocked(api.fetchApi)
 
+const validBlake3Hash =
+  '1111111111111111111111111111111111111111111111111111111111111111'
+const validBlake3AssetHash = `blake3:${validBlake3Hash}`
+
 function buildResponse(
   body: unknown,
   init: { ok?: boolean; status?: number } = {}
@@ -180,9 +189,98 @@ describe(assetService.getAssetMetadata, () => {
   })
 })
 
+describe(isBlake3AssetHash, () => {
+  it('accepts only prefixed 64-character blake3 hashes', () => {
+    expect(isBlake3AssetHash(validBlake3AssetHash)).toBe(true)
+    expect(isBlake3AssetHash('BLAKE3:' + validBlake3Hash.toUpperCase())).toBe(
+      true
+    )
+    expect(isBlake3AssetHash('blake3:abc')).toBe(false)
+    expect(isBlake3AssetHash(validBlake3Hash)).toBe(false)
+  })
+})
+
+describe(toBlake3AssetHash, () => {
+  it('normalizes 64-character blake3 hex values to asset hashes', () => {
+    expect(toBlake3AssetHash(validBlake3Hash)).toBe(validBlake3AssetHash)
+    expect(toBlake3AssetHash('abc')).toBeNull()
+    expect(toBlake3AssetHash(undefined)).toBeNull()
+  })
+})
+
+describe(assetService.uploadAssetFromUrl, () => {
+  beforeEach(() => {
+    vi.clearAllMocks()
+    assetService.invalidateInputAssetsIncludingPublic()
+  })
+
+  it('does not invalidate cached input assets when the upload response is invalid', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const consoleSpy = vi.spyOn(console, 'error').mockImplementation(() => {})
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(buildResponse({ id: 'missing-name' }))
+
+    await assetService.getInputAssetsIncludingPublic()
+    await expect(
+      assetService.uploadAssetFromUrl({
+        url: 'https://example.com/input.png',
+        name: 'input.png',
+        tags: ['input']
+      })
+    ).rejects.toThrow('Failed to upload asset')
+    const cached = await assetService.getInputAssetsIncludingPublic()
+
+    expect(cached).toEqual(staleAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+    consoleSpy.mockRestore()
+  })
+
+  it('requires upload responses to include created_new', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const consoleSpy = vi.spyOn(console, 'error').mockImplementation(() => {})
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(
+        buildResponse(validAsset({ id: 'uploaded-input', tags: ['input'] }))
+      )
+
+    await assetService.getInputAssetsIncludingPublic()
+    await expect(
+      assetService.uploadAssetFromUrl({
+        url: 'https://example.com/input.png',
+        name: 'input.png',
+        tags: ['input']
+      })
+    ).rejects.toThrow('Failed to upload asset')
+    const cached = await assetService.getInputAssetsIncludingPublic()
+
+    expect(cached).toEqual(staleAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+    consoleSpy.mockRestore()
+  })
+
+  it('returns validated upload responses with created_new', async () => {
+    const uploadedAsset = {
+      ...validAsset({ id: 'uploaded-input', tags: ['input'] }),
+      created_new: true
+    }
+    fetchApiMock.mockResolvedValueOnce(buildResponse(uploadedAsset))
+
+    await expect(
+      assetService.uploadAssetFromUrl({
+        url: 'https://example.com/input.png',
+        name: 'input.png',
+        tags: ['input']
+      })
+    ).resolves.toEqual(uploadedAsset)
+  })
+})
+
 describe(assetService.uploadAssetFromBase64, () => {
   beforeEach(() => {
     vi.clearAllMocks()
+    assetService.invalidateInputAssetsIncludingPublic()
   })
 
   it('throws before calling the network when data is not a data URL', async () => {
@@ -195,6 +293,63 @@ describe(assetService.uploadAssetFromBase64, () => {
 
     expect(fetchApiMock).not.toHaveBeenCalled()
   })
+
+  it('does not invalidate cached input assets when the upload response is invalid', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const consoleSpy = vi.spyOn(console, 'error').mockImplementation(() => {})
+    const fetchSpy = vi
+      .spyOn(globalThis, 'fetch')
+      .mockResolvedValueOnce(new Response('hello'))
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(buildResponse({ id: 'missing-name' }))
+
+    await assetService.getInputAssetsIncludingPublic()
+    await expect(
+      assetService.uploadAssetFromBase64({
+        data: 'data:text/plain;base64,aGVsbG8=',
+        name: 'input.txt',
+        tags: ['input']
+      })
+    ).rejects.toThrow('Failed to upload asset')
+    const cached = await assetService.getInputAssetsIncludingPublic()
+
+    expect(cached).toEqual(staleAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+    fetchSpy.mockRestore()
+    consoleSpy.mockRestore()
+  })
+
+  it('rejects upload responses with a non-boolean created_new', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const consoleSpy = vi.spyOn(console, 'error').mockImplementation(() => {})
+    const fetchSpy = vi
+      .spyOn(globalThis, 'fetch')
+      .mockResolvedValueOnce(new Response('hello'))
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(
+        buildResponse({
+          ...validAsset({ id: 'uploaded-input', tags: ['input'] }),
+          created_new: 'true'
+        })
+      )
+
+    await assetService.getInputAssetsIncludingPublic()
+    await expect(
+      assetService.uploadAssetFromBase64({
+        data: 'data:text/plain;base64,aGVsbG8=',
+        name: 'input.txt',
+        tags: ['input']
+      })
+    ).rejects.toThrow('Failed to upload asset')
+    const cached = await assetService.getInputAssetsIncludingPublic()
+
+    expect(cached).toEqual(staleAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+    fetchSpy.mockRestore()
+    consoleSpy.mockRestore()
+  })
 })
 
 describe(assetService.uploadAssetAsync, () => {
@@ -354,3 +509,391 @@ describe(assetService.getAssetsByTag, () => {
     expect(params.get('include_public')).toBe('true')
   })
 })
+
+describe(assetService.getAllAssetsByTag, () => {
+  beforeEach(() => {
+    vi.clearAllMocks()
+  })
+
+  it('paginates tagged asset requests with include_public=true', async () => {
+    fetchApiMock
+      .mockResolvedValueOnce(
+        buildResponse({
+          assets: [
+            validAsset({ id: 'a', tags: ['input'] }),
+            validAsset({ id: 'b', tags: ['input'] })
+          ]
+        })
+      )
+      .mockResolvedValueOnce(
+        buildResponse({
+          assets: [validAsset({ id: 'c', tags: ['input'] })]
+        })
+      )
+
+    const assets = await assetService.getAllAssetsByTag('input', true, {
+      limit: 2
+    })
+
+    expect(assets.map((a) => a.id)).toEqual(['a', 'b', 'c'])
+
+    const firstUrl = fetchApiMock.mock.calls[0]?.[0] as string
+    const firstParams = new URL(firstUrl, 'http://localhost').searchParams
+    expect(firstParams.get('include_public')).toBe('true')
+    expect(firstParams.get('limit')).toBe('2')
+    expect(firstParams.has('offset')).toBe(false)
+
+    const secondUrl = fetchApiMock.mock.calls[1]?.[0] as string
+    const secondParams = new URL(secondUrl, 'http://localhost').searchParams
+    expect(secondParams.get('include_public')).toBe('true')
+    expect(secondParams.get('limit')).toBe('2')
+    expect(secondParams.get('offset')).toBe('2')
+  })
+
+  it('paginates from raw response size before filtering missing-tagged assets', async () => {
+    fetchApiMock
+      .mockResolvedValueOnce(
+        buildResponse({
+          assets: [
+            validAsset({ id: 'visible', tags: ['input'] }),
+            validAsset({ id: 'hidden', tags: ['input', MISSING_TAG] })
+          ]
+        })
+      )
+      .mockResolvedValueOnce(
+        buildResponse({
+          assets: [validAsset({ id: 'later-public', tags: ['input'] })]
+        })
+      )
+
+    const assets = await assetService.getAllAssetsByTag('input', true, {
+      limit: 2
+    })
+
+    expect(assets.map((a) => a.id)).toEqual(['visible', 'later-public'])
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+
+    const secondUrl = fetchApiMock.mock.calls[1]?.[0]
+    if (typeof secondUrl !== 'string') {
+      throw new Error('Expected a second asset request URL')
+    }
+    const secondParams = new URL(secondUrl, 'http://localhost').searchParams
+    expect(secondParams.get('offset')).toBe('2')
+  })
+
+  it('honors has_more when walking tagged asset pages', async () => {
+    fetchApiMock
+      .mockResolvedValueOnce(
+        buildResponse({
+          assets: [
+            validAsset({ id: 'first', tags: ['input'] }),
+            validAsset({ id: 'second', tags: ['input'] })
+          ],
+          has_more: true
+        })
+      )
+      .mockResolvedValueOnce(
+        buildResponse({
+          assets: [validAsset({ id: 'later-public', tags: ['input'] })],
+          has_more: false
+        })
+      )
+
+    const assets = await assetService.getAllAssetsByTag('input', true, {
+      limit: 3
+    })
+
+    expect(assets.map((a) => a.id)).toEqual(['first', 'second', 'later-public'])
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+
+    const secondUrl = fetchApiMock.mock.calls[1]?.[0]
+    if (typeof secondUrl !== 'string') {
+      throw new Error('Expected a second asset request URL')
+    }
+    const secondParams = new URL(secondUrl, 'http://localhost').searchParams
+    expect(secondParams.get('offset')).toBe('2')
+  })
+
+  it('passes abort signals through paginated requests', async () => {
+    const controller = new AbortController()
+    fetchApiMock.mockResolvedValueOnce(
+      buildResponse({
+        assets: [validAsset({ id: 'a', tags: ['input'] })]
+      })
+    )
+
+    await assetService.getAllAssetsByTag('input', true, {
+      limit: 2,
+      signal: controller.signal
+    })
+
+    expect(fetchApiMock).toHaveBeenCalledWith(expect.any(String), {
+      signal: controller.signal
+    })
+  })
+
+  it('stops pagination when aborted between pages', async () => {
+    const controller = new AbortController()
+    fetchApiMock.mockImplementationOnce(async () => {
+      controller.abort()
+      return buildResponse({
+        assets: [
+          validAsset({ id: 'a', tags: ['input'] }),
+          validAsset({ id: 'b', tags: ['input'] })
+        ]
+      })
+    })
+
+    await expect(
+      assetService.getAllAssetsByTag('input', true, {
+        limit: 2,
+        signal: controller.signal
+      })
+    ).rejects.toMatchObject({ name: 'AbortError' })
+
+    expect(fetchApiMock).toHaveBeenCalledOnce()
+  })
+})
+
+describe(assetService.getInputAssetsIncludingPublic, () => {
+  beforeEach(() => {
+    vi.clearAllMocks()
+    assetService.invalidateInputAssetsIncludingPublic()
+  })
+
+  it('loads input assets with public assets included and reuses the cache', async () => {
+    const assets = [
+      validAsset({ id: 'user-input', tags: ['input'] }),
+      validAsset({ id: 'public-input', tags: ['input'], is_immutable: true })
+    ]
+    fetchApiMock.mockResolvedValueOnce(buildResponse({ assets }))
+
+    const first = await assetService.getInputAssetsIncludingPublic()
+    const second = await assetService.getInputAssetsIncludingPublic()
+
+    expect(first).toEqual(assets)
+    expect(second).toBe(first)
+    expect(fetchApiMock).toHaveBeenCalledOnce()
+
+    const requestedUrl = fetchApiMock.mock.calls[0]?.[0] as string
+    const params = new URL(requestedUrl, 'http://localhost').searchParams
+    expect(params.get('include_public')).toBe('true')
+    expect(params.get('limit')).toBe('500')
+  })
+
+  it('fetches fresh input assets after explicit invalidation', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const freshAssets = [validAsset({ id: 'fresh-input', tags: ['input'] })]
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(buildResponse({ assets: freshAssets }))
+
+    await assetService.getInputAssetsIncludingPublic()
+    assetService.invalidateInputAssetsIncludingPublic()
+    const refreshed = await assetService.getInputAssetsIncludingPublic()
+
+    expect(refreshed).toEqual(freshAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+  })
+
+  it('does not let one caller abort the shared input asset load for other callers', async () => {
+    const firstController = new AbortController()
+    const secondController = new AbortController()
+    const assets = [validAsset({ id: 'public-input', tags: ['input'] })]
+    let resolveResponse!: (response: Response) => void
+    let serviceSignal: AbortSignal | undefined
+    fetchApiMock.mockImplementationOnce(async (_url, options) => {
+      serviceSignal = options?.signal ?? undefined
+      return await new Promise<Response>((resolve) => {
+        resolveResponse = resolve
+      })
+    })
+
+    const first = assetService.getInputAssetsIncludingPublic(
+      firstController.signal
+    )
+    const second = assetService.getInputAssetsIncludingPublic(
+      secondController.signal
+    )
+    firstController.abort()
+
+    await expect(first).rejects.toMatchObject({ name: 'AbortError' })
+    expect(serviceSignal).toBeUndefined()
+
+    resolveResponse(buildResponse({ assets }))
+
+    await expect(second).resolves.toEqual(assets)
+    expect(fetchApiMock).toHaveBeenCalledOnce()
+  })
+
+  it('keeps the shared input asset load alive after all callers abort', async () => {
+    const firstController = new AbortController()
+    const secondController = new AbortController()
+    const assets = [validAsset({ id: 'public-input', tags: ['input'] })]
+    let resolveResponse!: (response: Response) => void
+    fetchApiMock.mockImplementationOnce(
+      async () =>
+        await new Promise<Response>((resolve) => {
+          resolveResponse = resolve
+        })
+    )
+
+    const first = assetService.getInputAssetsIncludingPublic(
+      firstController.signal
+    )
+    const second = assetService.getInputAssetsIncludingPublic(
+      secondController.signal
+    )
+    firstController.abort()
+    secondController.abort()
+
+    await expect(first).rejects.toMatchObject({ name: 'AbortError' })
+    await expect(second).rejects.toMatchObject({ name: 'AbortError' })
+
+    resolveResponse(buildResponse({ assets }))
+    await Promise.resolve()
+
+    await expect(assetService.getInputAssetsIncludingPublic()).resolves.toEqual(
+      assets
+    )
+    expect(fetchApiMock).toHaveBeenCalledOnce()
+  })
+
+  it('does not abort in-flight input asset loads when invalidated', async () => {
+    const assets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const freshAssets = [validAsset({ id: 'fresh-input', tags: ['input'] })]
+    let resolveResponse!: (response: Response) => void
+    fetchApiMock
+      .mockImplementationOnce(
+        async () =>
+          await new Promise<Response>((resolve) => {
+            resolveResponse = resolve
+          })
+      )
+      .mockResolvedValueOnce(buildResponse({ assets: freshAssets }))
+
+    const inFlight = assetService.getInputAssetsIncludingPublic()
+    assetService.invalidateInputAssetsIncludingPublic()
+
+    resolveResponse(buildResponse({ assets }))
+
+    await expect(inFlight).resolves.toEqual(assets)
+    await expect(assetService.getInputAssetsIncludingPublic()).resolves.toEqual(
+      freshAssets
+    )
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+  })
+
+  it('invalidates cached input assets after deleting an asset', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const freshAssets = [validAsset({ id: 'fresh-input', tags: ['input'] })]
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(buildResponse(null))
+      .mockResolvedValueOnce(buildResponse({ assets: freshAssets }))
+
+    await assetService.getInputAssetsIncludingPublic()
+    await assetService.deleteAsset('stale-input')
+    const refreshed = await assetService.getInputAssetsIncludingPublic()
+
+    expect(refreshed).toEqual(freshAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(3)
+    expect(fetchApiMock.mock.calls[1]).toEqual([
+      '/assets/stale-input',
+      expect.objectContaining({ method: 'DELETE' })
+    ])
+  })
+
+  it('invalidates cached input assets after an input asset upload', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    const uploadedAsset = validAsset({ id: 'uploaded-input', tags: ['input'] })
+    const freshAssets = [uploadedAsset]
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(buildResponse(uploadedAsset))
+      .mockResolvedValueOnce(buildResponse({ assets: freshAssets }))
+
+    await assetService.getInputAssetsIncludingPublic()
+    await assetService.uploadAssetAsync({
+      source_url: 'https://example.com/input.png',
+      tags: ['input']
+    })
+    const refreshed = await assetService.getInputAssetsIncludingPublic()
+
+    expect(refreshed).toEqual(freshAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(3)
+  })
+
+  it('does not invalidate cached input assets for pending async input uploads', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(
+        buildResponse(
+          { task_id: 'task-1', status: 'running' },
+          { ok: true, status: 202 }
+        )
+      )
+
+    await assetService.getInputAssetsIncludingPublic()
+    await assetService.uploadAssetAsync({
+      source_url: 'https://example.com/input.png',
+      tags: ['input']
+    })
+    const cached = await assetService.getInputAssetsIncludingPublic()
+
+    expect(cached).toEqual(staleAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+  })
+
+  it('does not invalidate cached input assets for non-input uploads', async () => {
+    const staleAssets = [validAsset({ id: 'stale-input', tags: ['input'] })]
+    fetchApiMock
+      .mockResolvedValueOnce(buildResponse({ assets: staleAssets }))
+      .mockResolvedValueOnce(buildResponse(validAsset({ tags: ['models'] })))
+
+    await assetService.getInputAssetsIncludingPublic()
+    await assetService.uploadAssetAsync({
+      source_url: 'https://example.com/model.safetensors',
+      tags: ['models']
+    })
+    const cached = await assetService.getInputAssetsIncludingPublic()
+
+    expect(cached).toEqual(staleAssets)
+    expect(fetchApiMock).toHaveBeenCalledTimes(2)
+  })
+})
+
+describe(assetService.checkAssetHash, () => {
+  beforeEach(() => {
+    vi.clearAllMocks()
+  })
+
+  it.each([
+    [200, 'exists'],
+    [404, 'missing'],
+    [400, 'invalid']
+  ] as const)('maps %s responses to %s', async (status, expected) => {
+    const hash =
+      'blake3:1111111111111111111111111111111111111111111111111111111111111111'
+    fetchApiMock.mockResolvedValueOnce(buildResponse(null, { status }))
+
+    await expect(assetService.checkAssetHash(hash)).resolves.toBe(expected)
+
+    expect(fetchApiMock).toHaveBeenCalledWith(
+      `/assets/hash/${encodeURIComponent(hash)}`,
+      {
+        method: 'HEAD',
+        signal: undefined
+      }
+    )
+  })
+
+  it('throws for unexpected responses', async () => {
+    fetchApiMock.mockResolvedValueOnce(buildResponse(null, { status: 500 }))
+
+    await expect(assetService.checkAssetHash('blake3:abc')).rejects.toThrow(
+      'Unexpected asset hash check status: 500'
+    )
+  })
+})

src/platform/assets/services/assetService.ts

@@ -1,4 +1,5 @@
 import { fromZodError } from 'zod-validation-error'
+import { z } from 'zod'
 
 import { st } from '@/i18n'
 
@@ -29,9 +30,14 @@ export interface PaginationOptions {
   offset?: number
 }
 
+interface AssetPaginationOptions extends PaginationOptions {
+  signal?: AbortSignal
+}
+
 interface AssetRequestOptions extends PaginationOptions {
   includeTags: string[]
   includePublic?: boolean
+  signal?: AbortSignal
 }
 
 interface AssetExportOptions {
@@ -170,10 +176,61 @@ const ASSETS_DOWNLOAD_ENDPOINT = '/assets/download'
 const ASSETS_EXPORT_ENDPOINT = '/assets/export'
 const EXPERIMENTAL_WARNING = `EXPERIMENTAL: If you are seeing this please make sure "Comfy.Assets.UseAssetAPI" is set to "false" in your ComfyUI Settings.\n`
 const DEFAULT_LIMIT = 500
+const INPUT_ASSETS_WITH_PUBLIC_LIMIT = 500
 
 export const MODELS_TAG = 'models'
+/** Asset tag used by the backend for placeholder records that are not installed. */
 export const MISSING_TAG = 'missing'
 
+/** Result of a HEAD lookup against an exact asset hash. */
+export type AssetHashStatus = 'exists' | 'missing' | 'invalid'
+
+const BLAKE3_ASSET_HASH_PATTERN = /^blake3:[0-9a-f]{64}$/i
+const BLAKE3_HEX_PATTERN = /^[0-9a-f]{64}$/i
+const uploadedAssetResponseSchema = assetItemSchema.extend({
+  created_new: z.boolean()
+})
+
+/** Returns true for a prefixed BLAKE3 asset hash: `blake3:<64 hex>`. */
+export function isBlake3AssetHash(value: string): boolean {
+  return BLAKE3_ASSET_HASH_PATTERN.test(value)
+}
+
+/** Converts a raw 64-character BLAKE3 hex digest into an asset hash. */
+export function toBlake3AssetHash(hash: string | undefined): string | null {
+  if (!hash || !BLAKE3_HEX_PATTERN.test(hash)) return null
+  return `blake3:${hash}`
+}
+
+function createAbortError(): DOMException {
+  return new DOMException('Aborted', 'AbortError')
+}
+
+function throwIfAborted(signal?: AbortSignal): void {
+  if (signal?.aborted) throw createAbortError()
+}
+
+async function withCallerAbort<T>(
+  promise: Promise<T>,
+  signal?: AbortSignal
+): Promise<T> {
+  throwIfAborted(signal)
+  if (!signal) return await promise
+
+  let removeAbortListener = () => {}
+  const abortPromise = new Promise<never>((_, reject) => {
+    const onAbort = () => reject(createAbortError())
+    signal.addEventListener('abort', onAbort, { once: true })
+    removeAbortListener = () => signal.removeEventListener('abort', onAbort)
+  })
+
+  try {
+    return await Promise.race([promise, abortPromise])
+  } finally {
+    removeAbortListener()
+  }
+}
+
 /**
  * Validates asset response data using Zod schema
  */
@@ -187,11 +244,43 @@ function validateAssetResponse(data: unknown): AssetResponse {
   )
 }
 
+function validateUploadedAssetResponse(
+  data: unknown
+): AssetItem & { created_new: boolean } {
+  const result = uploadedAssetResponseSchema.safeParse(data)
+  if (result.success) {
+    return result.data
+  }
+
+  console.error('Invalid asset upload response:', fromZodError(result.error))
+  throw new Error(
+    st(
+      'assetBrowser.errorUploadFailed',
+      'Failed to upload asset. Please try again.'
+    )
+  )
+}
+
 /**
  * Private service for asset-related network requests
  * Not exposed globally - used internally by ComfyApi
  */
 function createAssetService() {
+  let inputAssetsIncludingPublic: AssetItem[] | null = null
+  let inputAssetsIncludingPublicRequestId = 0
+  let pendingInputAssetsIncludingPublic: Promise<AssetItem[]> | null = null
+
+  /** Invalidates the cached public-inclusive input assets without aborting in-flight readers. */
+  function invalidateInputAssetsIncludingPublic(): void {
+    inputAssetsIncludingPublicRequestId++
+    pendingInputAssetsIncludingPublic = null
+    inputAssetsIncludingPublic = null
+  }
+
+  function invalidateInputAssetsCacheIfNeeded(tags?: string[]): void {
+    if (tags?.includes('input')) invalidateInputAssetsIncludingPublic()
+  }
+
   /**
    * Handles API response with consistent error handling and Zod validation
    */
@@ -203,7 +292,8 @@ function createAssetService() {
       includeTags,
       limit = DEFAULT_LIMIT,
       offset,
-      includePublic
+      includePublic,
+      signal
     } = options
     const queryParams = new URLSearchParams({
       include_tags: includeTags.join(','),
@@ -217,7 +307,9 @@ function createAssetService() {
     }
 
     const url = `${ASSETS_ENDPOINT}?${queryParams.toString()}`
-    const res = await api.fetchApi(url)
+    const res = signal
+      ? await api.fetchApi(url, { signal })
+      : await api.fetchApi(url)
     if (!res.ok) {
       throw new Error(
         `${EXPERIMENTAL_WARNING}Unable to load ${context}: Server returned ${res.status}. Please try again.`
@@ -403,15 +495,16 @@ function createAssetService() {
    * @param options - Pagination options
    * @param options.limit - Maximum number of assets to return (default: 500)
    * @param options.offset - Number of assets to skip (default: 0)
+   * @param options.signal - Optional abort signal for cancelling the request
    * @returns Promise<AssetItem[]> - Full asset objects filtered by tag, excluding missing assets
    */
   async function getAssetsByTag(
     tag: string,
     includePublic: boolean = true,
-    { limit = DEFAULT_LIMIT, offset = 0 }: PaginationOptions = {}
+    { limit = DEFAULT_LIMIT, offset = 0, signal }: AssetPaginationOptions = {}
   ): Promise<AssetItem[]> {
     const data = await handleAssetRequest(
-      { includeTags: [tag], limit, offset, includePublic },
+      { includeTags: [tag], limit, offset, includePublic, signal },
       `assets for tag ${tag}`
     )
 
@@ -420,6 +513,116 @@ function createAssetService() {
     )
   }
 
+  /**
+   * Gets every asset for a tag by walking paginated asset API responses.
+   *
+   * @param tag - The tag to filter by (e.g., 'models', 'input')
+   * @param includePublic - Whether to include public assets (default: true)
+   * @param options - Pagination options
+   * @param options.limit - Page size for each request (default: 500)
+   * @param options.signal - Optional abort signal for cancelling requests
+   * @returns Promise<AssetItem[]> - Full asset objects filtered by tag
+   */
+  async function getAllAssetsByTag(
+    tag: string,
+    includePublic: boolean = true,
+    { limit = DEFAULT_LIMIT, signal }: AssetPaginationOptions = {}
+  ): Promise<AssetItem[]> {
+    const assets: AssetItem[] = []
+    const pageSize = limit > 0 ? limit : DEFAULT_LIMIT
+    let offset = 0
+
+    while (true) {
+      if (signal?.aborted) throw createAbortError()
+
+      const data = await handleAssetRequest(
+        {
+          includeTags: [tag],
+          limit: pageSize,
+          offset,
+          includePublic,
+          signal
+        },
+        `assets for tag ${tag}`
+      )
+      const batch = data.assets ?? []
+      assets.push(...batch.filter((asset) => !asset.tags.includes(MISSING_TAG)))
+
+      const noMoreFromServer = data.has_more === false
+      const inferredLastPage =
+        data.has_more === undefined && batch.length < pageSize
+      if (batch.length === 0 || noMoreFromServer || inferredLastPage) {
+        return assets
+      }
+
+      offset += batch.length
+    }
+  }
+
+  function startInputAssetsIncludingPublicRequest(): Promise<AssetItem[]> {
+    const requestId = ++inputAssetsIncludingPublicRequestId
+
+    pendingInputAssetsIncludingPublic = getAllAssetsByTag('input', true, {
+      limit: INPUT_ASSETS_WITH_PUBLIC_LIMIT
+    })
+      .then((assets) => {
+        if (requestId === inputAssetsIncludingPublicRequestId) {
+          inputAssetsIncludingPublic = assets
+        }
+        return assets
+      })
+      .finally(() => {
+        if (requestId === inputAssetsIncludingPublicRequestId) {
+          pendingInputAssetsIncludingPublic = null
+        }
+      })
+
+    void pendingInputAssetsIncludingPublic.catch(() => {})
+    return pendingInputAssetsIncludingPublic
+  }
+
+  /**
+   * Gets cached input assets including public assets for missing media checks.
+   * Caller aborts cancel only that caller; shared fetches are invalidated
+   * through invalidateInputAssetsIncludingPublic().
+   */
+  async function getInputAssetsIncludingPublic(
+    signal?: AbortSignal
+  ): Promise<AssetItem[]> {
+    throwIfAborted(signal)
+    if (inputAssetsIncludingPublic) return inputAssetsIncludingPublic
+
+    const request =
+      pendingInputAssetsIncludingPublic ??
+      startInputAssetsIncludingPublicRequest()
+    return await withCallerAbort(request, signal)
+  }
+
+  /**
+   * Checks whether an asset exists for an exact asset hash.
+   *
+   * Uses the HEAD /assets/hash/{hash} endpoint and maps status-only responses:
+   * 200 -> exists, 404 -> missing, and 400 -> invalid hash format.
+   */
+  async function checkAssetHash(
+    assetHash: string,
+    signal?: AbortSignal
+  ): Promise<AssetHashStatus> {
+    const response = await api.fetchApi(
+      `${ASSETS_ENDPOINT}/hash/${encodeURIComponent(assetHash)}`,
+      {
+        method: 'HEAD',
+        signal
+      }
+    )
+
+    if (response.status === 200) return 'exists'
+    if (response.status === 404) return 'missing'
+    if (response.status === 400) return 'invalid'
+
+    throw new Error(`Unexpected asset hash check status: ${response.status}`)
+  }
+
   /**
    * Deletes an asset by ID
    * Only available in cloud environment
@@ -438,6 +641,8 @@ function createAssetService() {
         `Unable to delete asset ${id}: Server returned ${res.status}`
       )
     }
+
+    invalidateInputAssetsIncludingPublic()
   }
 
   /**
@@ -545,7 +750,9 @@ function createAssetService() {
       )
     }
 
-    return await res.json()
+    const asset = validateUploadedAssetResponse(await res.json())
+    invalidateInputAssetsCacheIfNeeded(params.tags)
+    return asset
   }
 
   /**
@@ -598,7 +805,9 @@ function createAssetService() {
       )
     }
 
-    return await res.json()
+    const asset = validateUploadedAssetResponse(await res.json())
+    invalidateInputAssetsCacheIfNeeded(params.tags)
+    return asset
   }
 
   /**
@@ -628,6 +837,7 @@ function createAssetService() {
     if (!parseResult.success) {
       throw fromZodError(parseResult.error)
     }
+    invalidateInputAssetsIncludingPublic()
     return parseResult.data
   }
 
@@ -658,6 +868,7 @@ function createAssetService() {
     if (!parseResult.success) {
       throw fromZodError(parseResult.error)
     }
+    invalidateInputAssetsIncludingPublic()
     return parseResult.data
   }
 
@@ -709,6 +920,13 @@ function createAssetService() {
           )
         )
       }
+      if (
+        params.tags?.includes('input') &&
+        result.data.type === 'async' &&
+        result.data.task.status === 'completed'
+      ) {
+        invalidateInputAssetsIncludingPublic()
+      }
       return result.data
     }
 
@@ -724,6 +942,7 @@ function createAssetService() {
         )
       )
     }
+    invalidateInputAssetsCacheIfNeeded(params.tags)
     return result.data
   }
 
@@ -764,6 +983,10 @@ function createAssetService() {
     getAssetsForNodeType,
     getAssetDetails,
     getAssetsByTag,
+    getAllAssetsByTag,
+    getInputAssetsIncludingPublic,
+    invalidateInputAssetsIncludingPublic,
+    checkAssetHash,
     deleteAsset,
     updateAsset,
     addAssetTags,

src/platform/missingMedia/missingMediaScan.test.ts

@@ -1,9 +1,11 @@
 import { fromAny } from '@total-typescript/shoehorn'
-import { describe, expect, it, vi } from 'vitest'
+import { beforeEach, describe, expect, it, vi } from 'vitest'
 
 import type { LGraph } from '@/lib/litegraph/src/LGraph'
 import type { LGraphNode } from '@/lib/litegraph/src/LGraphNode'
 import type { IComboWidget } from '@/lib/litegraph/src/types/widgets'
+import type { AssetItem } from '@/platform/assets/schemas/assetSchema'
+import type * as AssetServiceModule from '@/platform/assets/services/assetService'
 import {
   scanAllMediaCandidates,
   scanNodeMediaCandidates,
@@ -13,6 +15,13 @@ import {
 } from './missingMediaScan'
 import type { MissingMediaCandidate } from './types'
 
+const { mockCheckAssetHash, mockGetInputAssetsIncludingPublic } = vi.hoisted(
+  () => ({
+    mockCheckAssetHash: vi.fn(),
+    mockGetInputAssetsIncludingPublic: vi.fn()
+  })
+)
+
 vi.mock('@/utils/graphTraversalUtil', () => ({
   collectAllNodes: (graph: { _testNodes: LGraphNode[] }) => graph._testNodes,
   getExecutionIdByNode: (
@@ -21,6 +30,21 @@ vi.mock('@/utils/graphTraversalUtil', () => ({
   ) => node._testExecutionId ?? String(node.id)
 }))
 
+vi.mock('@/platform/assets/services/assetService', async () => {
+  const actual = await vi.importActual<typeof AssetServiceModule>(
+    '@/platform/assets/services/assetService'
+  )
+
+  return {
+    ...actual,
+    assetService: {
+      ...actual.assetService,
+      checkAssetHash: mockCheckAssetHash,
+      getInputAssetsIncludingPublic: mockGetInputAssetsIncludingPublic
+    }
+  }
+})
+
 function makeCandidate(
   nodeId: string,
   name: string,
@@ -70,6 +94,16 @@ function makeGraph(nodes: LGraphNode[]): LGraph {
   return fromAny<LGraph, unknown>({ _testNodes: nodes })
 }
 
+function makeAsset(name: string, assetHash: string | null = null): AssetItem {
+  return {
+    id: name,
+    name,
+    asset_hash: assetHash,
+    mime_type: null,
+    tags: ['input']
+  }
+}
+
 describe('scanNodeMediaCandidates', () => {
   it('returns candidate for a LoadImage node with missing image', () => {
     const graph = makeGraph([])
@@ -232,37 +266,43 @@ describe('groupCandidatesByMediaType', () => {
 })
 
 describe('verifyCloudMediaCandidates', () => {
-  it('marks candidates missing when not in input assets', async () => {
+  const existingHash =
+    'blake3:1111111111111111111111111111111111111111111111111111111111111111'
+  const missingHash =
+    'blake3:2222222222222222222222222222222222222222222222222222222222222222'
+
+  beforeEach(() => {
+    vi.clearAllMocks()
+    mockCheckAssetHash.mockResolvedValue('missing')
+    mockGetInputAssetsIncludingPublic.mockResolvedValue([])
+  })
+
+  it('marks candidates missing when the asset hash is not found', async () => {
     const candidates = [
-      makeCandidate('1', 'abc123.png', { isMissing: undefined }),
-      makeCandidate('2', 'def456.png', { isMissing: undefined })
+      makeCandidate('1', missingHash, { isMissing: undefined }),
+      makeCandidate('2', existingHash, { isMissing: undefined })
     ]
 
-    const mockStore = {
-      updateInputs: async () => {},
-      inputAssets: [{ asset_hash: 'def456.png', name: 'my-photo.png' }]
-    }
+    const checkAssetHash = vi.fn(async (assetHash: string) =>
+      assetHash === existingHash ? ('exists' as const) : ('missing' as const)
+    )
 
-    await verifyCloudMediaCandidates(candidates, undefined, mockStore)
+    await verifyCloudMediaCandidates(candidates, undefined, checkAssetHash)
 
     expect(candidates[0].isMissing).toBe(true)
     expect(candidates[1].isMissing).toBe(false)
   })
 
-  it('calls updateInputs before checking assets', async () => {
-    let updateCalled = false
-    const candidates = [makeCandidate('1', 'abc.png', { isMissing: undefined })]
+  it('uses assetService.checkAssetHash by default', async () => {
+    const candidates = [
+      makeCandidate('1', existingHash, { isMissing: undefined })
+    ]
+    mockCheckAssetHash.mockResolvedValue('exists')
 
-    const mockStore = {
-      updateInputs: async () => {
-        updateCalled = true
-      },
-      inputAssets: []
-    }
+    await verifyCloudMediaCandidates(candidates)
 
-    await verifyCloudMediaCandidates(candidates, undefined, mockStore)
-
-    expect(updateCalled).toBe(true)
+    expect(candidates[0].isMissing).toBe(false)
+    expect(mockCheckAssetHash).toHaveBeenCalledWith(existingHash, undefined)
   })
 
   it('respects abort signal before execution', async () => {
@@ -270,69 +310,221 @@ describe('verifyCloudMediaCandidates', () => {
     controller.abort()
 
     const candidates = [
-      makeCandidate('1', 'abc123.png', { isMissing: undefined })
+      makeCandidate('1', missingHash, { isMissing: undefined })
     ]
 
     await verifyCloudMediaCandidates(candidates, controller.signal)
 
     expect(candidates[0].isMissing).toBeUndefined()
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
   })
 
-  it('respects abort signal after updateInputs', async () => {
+  it('respects abort signal after hash verification', async () => {
     const controller = new AbortController()
-    const candidates = [makeCandidate('1', 'abc.png', { isMissing: undefined })]
+    const candidates = [
+      makeCandidate('1', existingHash, { isMissing: undefined })
+    ]
+    const checkAssetHash = vi.fn(async () => {
+      controller.abort()
+      return 'exists' as const
+    })
 
-    const mockStore = {
-      updateInputs: async () => {
-        controller.abort()
-      },
-      inputAssets: [{ asset_hash: 'abc.png', name: 'photo.png' }]
-    }
-
-    await verifyCloudMediaCandidates(candidates, controller.signal, mockStore)
+    await verifyCloudMediaCandidates(
+      candidates,
+      controller.signal,
+      checkAssetHash
+    )
 
     expect(candidates[0].isMissing).toBeUndefined()
   })
 
   it('skips candidates already resolved as true', async () => {
-    const candidates = [makeCandidate('1', 'abc.png', { isMissing: true })]
+    const candidates = [makeCandidate('1', missingHash, { isMissing: true })]
 
-    const mockStore = {
-      updateInputs: async () => {},
-      inputAssets: []
-    }
-
-    await verifyCloudMediaCandidates(candidates, undefined, mockStore)
+    await verifyCloudMediaCandidates(candidates)
 
     expect(candidates[0].isMissing).toBe(true)
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
   })
 
   it('skips candidates already resolved as false', async () => {
-    const candidates = [makeCandidate('1', 'abc.png', { isMissing: false })]
+    const candidates = [makeCandidate('1', existingHash, { isMissing: false })]
 
-    const mockStore = {
-      updateInputs: async () => {},
-      inputAssets: []
-    }
-
-    await verifyCloudMediaCandidates(candidates, undefined, mockStore)
+    await verifyCloudMediaCandidates(candidates)
 
     expect(candidates[0].isMissing).toBe(false)
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
   })
 
   it('skips entirely when no pending candidates', async () => {
-    let updateCalled = false
-    const candidates = [makeCandidate('1', 'abc.png', { isMissing: true })]
+    const candidates = [makeCandidate('1', missingHash, { isMissing: true })]
 
-    const mockStore = {
-      updateInputs: async () => {
-        updateCalled = true
-      },
-      inputAssets: []
-    }
+    await verifyCloudMediaCandidates(candidates)
 
-    await verifyCloudMediaCandidates(candidates, undefined, mockStore)
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
+  })
 
-    expect(updateCalled).toBe(false)
+  it('falls back to input assets for non-blake3 candidate names', async () => {
+    const candidates = [
+      makeCandidate('1', 'photo.png', { isMissing: undefined }),
+      makeCandidate('2', 'missing.png', { isMissing: undefined })
+    ]
+    const fetchInputAssets = vi.fn(async () => [
+      makeAsset('stored-photo.png', 'photo.png')
+    ])
+
+    await verifyCloudMediaCandidates(
+      candidates,
+      undefined,
+      undefined,
+      fetchInputAssets
+    )
+
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
+    expect(fetchInputAssets).toHaveBeenCalledOnce()
+    expect(candidates[0].isMissing).toBe(false)
+    expect(candidates[1].isMissing).toBe(true)
+  })
+
+  it('uses public input assets for default legacy fallback', async () => {
+    const candidates = [
+      makeCandidate('1', 'public-photo.png', { isMissing: undefined })
+    ]
+    const inputAssets = Array.from({ length: 500 }, (_, index) =>
+      makeAsset(`asset-${index}.png`)
+    )
+    inputAssets[42] = makeAsset('public-asset-record', 'public-photo.png')
+    mockGetInputAssetsIncludingPublic.mockResolvedValue(inputAssets)
+
+    await verifyCloudMediaCandidates(candidates)
+
+    expect(mockGetInputAssetsIncludingPublic).toHaveBeenCalledWith(undefined)
+    expect(candidates[0].isMissing).toBe(false)
+  })
+
+  it('silences aborts while loading legacy fallback input assets', async () => {
+    const abortError = new Error('aborted')
+    abortError.name = 'AbortError'
+    const controller = new AbortController()
+    const candidates = [
+      makeCandidate('1', 'photo.png', { isMissing: undefined })
+    ]
+    const fetchInputAssets = vi.fn(async () => {
+      controller.abort()
+      throw abortError
+    })
+
+    await expect(
+      verifyCloudMediaCandidates(
+        candidates,
+        controller.signal,
+        undefined,
+        fetchInputAssets
+      )
+    ).resolves.toBeUndefined()
+
+    expect(candidates[0].isMissing).toBeUndefined()
+  })
+
+  it('silences aborts from the default legacy fallback input asset store path', async () => {
+    const abortError = new Error('aborted')
+    abortError.name = 'AbortError'
+    const controller = new AbortController()
+    const candidates = [
+      makeCandidate('1', 'photo.png', { isMissing: undefined })
+    ]
+    mockGetInputAssetsIncludingPublic.mockImplementationOnce(async () => {
+      controller.abort()
+      throw abortError
+    })
+
+    await expect(
+      verifyCloudMediaCandidates(candidates, controller.signal)
+    ).resolves.toBeUndefined()
+
+    expect(mockGetInputAssetsIncludingPublic).toHaveBeenCalledWith(
+      controller.signal
+    )
+    expect(candidates[0].isMissing).toBeUndefined()
+  })
+
+  it('falls back to input assets when the hash endpoint returns 400', async () => {
+    const candidates = [
+      makeCandidate('1', existingHash, { isMissing: undefined })
+    ]
+    mockCheckAssetHash.mockResolvedValue('invalid')
+    const fetchInputAssets = vi.fn(async () => [
+      makeAsset('photo.png', existingHash)
+    ])
+
+    await verifyCloudMediaCandidates(
+      candidates,
+      undefined,
+      undefined,
+      fetchInputAssets
+    )
+
+    expect(mockCheckAssetHash).toHaveBeenCalledWith(existingHash, undefined)
+    expect(fetchInputAssets).toHaveBeenCalledOnce()
+    expect(candidates[0].isMissing).toBe(false)
+  })
+
+  it('falls back to input assets when hash verification fails', async () => {
+    const warn = vi.spyOn(console, 'warn').mockImplementation(() => {})
+    const candidates = [
+      makeCandidate('1', existingHash, { isMissing: undefined })
+    ]
+    const checkAssetHash = vi.fn(async () => {
+      throw new Error('network failed')
+    })
+    const fetchInputAssets = vi.fn(async () => [
+      makeAsset('photo.png', existingHash)
+    ])
+
+    await verifyCloudMediaCandidates(
+      candidates,
+      undefined,
+      checkAssetHash,
+      fetchInputAssets
+    )
+
+    expect(fetchInputAssets).toHaveBeenCalledOnce()
+    expect(candidates[0].isMissing).toBe(false)
+    expect(warn).toHaveBeenCalledOnce()
+    warn.mockRestore()
+  })
+
+  it('does not call the hash endpoint for malformed blake3-looking values', async () => {
+    const malformedHash = 'blake3:abc'
+    const candidates = [
+      makeCandidate('1', malformedHash, { isMissing: undefined })
+    ]
+    const fetchInputAssets = vi.fn(async () => [
+      makeAsset('legacy.png', malformedHash)
+    ])
+
+    await verifyCloudMediaCandidates(
+      candidates,
+      undefined,
+      undefined,
+      fetchInputAssets
+    )
+
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
+    expect(fetchInputAssets).toHaveBeenCalledOnce()
+    expect(candidates[0].isMissing).toBe(false)
+  })
+
+  it('deduplicates checks for repeated candidate names', async () => {
+    const candidates = [
+      makeCandidate('1', missingHash, { isMissing: undefined }),
+      makeCandidate('2', missingHash, { isMissing: undefined })
+    ]
+
+    await verifyCloudMediaCandidates(candidates)
+
+    expect(mockCheckAssetHash).toHaveBeenCalledOnce()
+    expect(candidates[0].isMissing).toBe(true)
+    expect(candidates[1].isMissing).toBe(true)
   })
 })

src/platform/missingMedia/missingMediaScan.ts

@@ -18,6 +18,12 @@ import {
 } from '@/utils/graphTraversalUtil'
 import { LGraphEventMode } from '@/lib/litegraph/src/types/globalEnums'
 import { resolveComboValues } from '@/utils/litegraphUtil'
+import type { AssetItem } from '@/platform/assets/schemas/assetSchema'
+import type { AssetHashStatus } from '@/platform/assets/services/assetService'
+import {
+  assetService,
+  isBlake3AssetHash
+} from '@/platform/assets/services/assetService'
 
 /** Map of node types to their media widget name and media type. */
 const MEDIA_NODE_WIDGETS: Record<
@@ -106,41 +112,130 @@ export function scanNodeMediaCandidates(
   return candidates
 }
 
-interface InputVerifier {
-  updateInputs: () => Promise<unknown>
-  inputAssets: Array<{ asset_hash?: string | null; name: string }>
+type AssetHashVerifier = (
+  assetHash: string,
+  signal?: AbortSignal
+) => Promise<AssetHashStatus>
+
+type InputAssetFetcher = (signal?: AbortSignal) => Promise<AssetItem[]>
+
+function groupCandidatesForHashLookup(candidates: MissingMediaCandidate[]): {
+  candidatesByHash: Map<string, MissingMediaCandidate[]>
+  legacyCandidates: MissingMediaCandidate[]
+} {
+  const candidatesByHash = new Map<string, MissingMediaCandidate[]>()
+  const legacyCandidates: MissingMediaCandidate[] = []
+
+  for (const candidate of candidates) {
+    if (!isBlake3AssetHash(candidate.name)) {
+      legacyCandidates.push(candidate)
+      continue
+    }
+
+    const hashCandidates = candidatesByHash.get(candidate.name)
+    if (hashCandidates) hashCandidates.push(candidate)
+    else candidatesByHash.set(candidate.name, [candidate])
+  }
+
+  return { candidatesByHash, legacyCandidates }
+}
+
+async function verifyCandidatesByHash(
+  candidatesByHash: Map<string, MissingMediaCandidate[]>,
+  legacyCandidates: MissingMediaCandidate[],
+  signal: AbortSignal | undefined,
+  checkAssetHash: AssetHashVerifier
+): Promise<void> {
+  await Promise.all(
+    Array.from(candidatesByHash, async ([assetHash, hashCandidates]) => {
+      if (signal?.aborted) return
+
+      let status: AssetHashStatus
+      try {
+        status = await checkAssetHash(assetHash, signal)
+        if (signal?.aborted) return
+      } catch (err) {
+        if (signal?.aborted || isAbortError(err)) return
+        console.warn(
+          '[Missing Media Pipeline] Failed to verify asset hash:',
+          err
+        )
+        legacyCandidates.push(...hashCandidates)
+        return
+      }
+
+      if (status === 'invalid') {
+        legacyCandidates.push(...hashCandidates)
+        return
+      }
+
+      for (const candidate of hashCandidates) {
+        candidate.isMissing = status === 'missing'
+      }
+    })
+  )
 }
 
 /**
- * Verify cloud media candidates against the input assets fetched from the
- * assets store. Mutates candidates' `isMissing` in place.
+ * Verify cloud media candidates by probing the asset hash endpoint first.
+ * Invalid hash values fall back to the legacy input asset list check.
  */
 export async function verifyCloudMediaCandidates(
   candidates: MissingMediaCandidate[],
   signal?: AbortSignal,
-  assetsStore?: InputVerifier
+  checkAssetHash: AssetHashVerifier = assetService.checkAssetHash,
+  fetchInputAssets: InputAssetFetcher = fetchMissingInputAssets
 ): Promise<void> {
   if (signal?.aborted) return
 
   const pending = candidates.filter((c) => c.isMissing === undefined)
   if (pending.length === 0) return
 
-  const store =
-    assetsStore ?? (await import('@/stores/assetsStore')).useAssetsStore()
+  const { candidatesByHash, legacyCandidates } =
+    groupCandidatesForHashLookup(pending)
+  await verifyCandidatesByHash(
+    candidatesByHash,
+    legacyCandidates,
+    signal,
+    checkAssetHash
+  )
 
-  await store.updateInputs()
+  if (signal?.aborted || legacyCandidates.length === 0) return
+
+  let inputAssets: AssetItem[]
+  try {
+    inputAssets = await fetchInputAssets(signal)
+  } catch (err) {
+    if (signal?.aborted || isAbortError(err)) return
+    throw err
+  }
 
   if (signal?.aborted) return
 
   const assetHashes = new Set(
-    store.inputAssets.map((a) => a.asset_hash).filter((h): h is string => !!h)
+    inputAssets.map((a) => a.asset_hash).filter((h): h is string => !!h)
   )
 
-  for (const c of pending) {
-    c.isMissing = !assetHashes.has(c.name)
+  for (const candidate of legacyCandidates) {
+    candidate.isMissing = !assetHashes.has(candidate.name)
   }
 }
 
+async function fetchMissingInputAssets(
+  signal?: AbortSignal
+): Promise<AssetItem[]> {
+  return await assetService.getInputAssetsIncludingPublic(signal)
+}
+
+function isAbortError(err: unknown): boolean {
+  return (
+    typeof err === 'object' &&
+    err !== null &&
+    'name' in err &&
+    err.name === 'AbortError'
+  )
+}
+
 /** Group confirmed-missing candidates by file name into view models. */
 export function groupCandidatesByName(
   candidates: MissingMediaCandidate[]

src/platform/missingModel/missingModelScan.test.ts

@@ -19,6 +19,11 @@ import activeSubgraphUnmatchedModel from '@/platform/missingModel/__fixtures__/a
 import bypassedSubgraphUnmatchedModel from '@/platform/missingModel/__fixtures__/bypassedSubgraphUnmatchedModel.json' with { type: 'json' }
 import type { MissingModelCandidate } from '@/platform/missingModel/types'
 import type { ComfyWorkflowJSON } from '@/platform/workflow/validation/schemas/workflowSchema'
+import type * as AssetServiceModule from '@/platform/assets/services/assetService'
+
+const { mockCheckAssetHash } = vi.hoisted(() => ({
+  mockCheckAssetHash: vi.fn()
+}))
 
 vi.mock('@/utils/graphTraversalUtil', () => ({
   collectAllNodes: (graph: { _testNodes: LGraphNode[] }) => graph._testNodes,
@@ -28,6 +33,20 @@ vi.mock('@/utils/graphTraversalUtil', () => ({
   ) => node._testExecutionId ?? String(node.id)
 }))
 
+vi.mock('@/platform/assets/services/assetService', async () => {
+  const actual = await vi.importActual<typeof AssetServiceModule>(
+    '@/platform/assets/services/assetService'
+  )
+
+  return {
+    ...actual,
+    assetService: {
+      ...actual.assetService,
+      checkAssetHash: mockCheckAssetHash
+    }
+  }
+})
+
 /** Helper: create a combo widget mock */
 function makeComboWidget(
   name: string,
@@ -43,7 +62,7 @@ function makeComboWidget(
 }
 
 /** Helper: create an asset widget mock (Cloud combo replacement) */
-function makeAssetWidget(name: string, value: string): IBaseWidget {
+function makeAssetWidget(name: string, value: unknown): IBaseWidget {
   return fromAny<IBaseWidget, unknown>({
     type: 'asset',
     name,
@@ -551,6 +570,16 @@ describe('scanAllModelCandidates', () => {
     expect(result).toEqual([])
   })
 
+  it('should skip asset widgets with non-string values', () => {
+    const graph = makeGraph([
+      makeNode(1, 'SomeNode', [makeAssetWidget('ckpt_name', 123)])
+    ])
+
+    const result = scanAllModelCandidates(graph, noAssetSupport)
+
+    expect(result).toEqual([])
+  })
+
   it('should scan both combo and asset widgets on the same node', () => {
     const graph = makeGraph([
       makeNode(1, 'DualLoaderNode', [
@@ -1411,6 +1440,7 @@ function makeAssetCandidate(
 describe('verifyAssetSupportedCandidates', () => {
   beforeEach(() => {
     vi.clearAllMocks()
+    mockCheckAssetHash.mockResolvedValue('missing')
     mockIsModelLoading.mockReturnValue(false)
     mockHasMore.mockReturnValue(false)
     mockGetAssets.mockReturnValue([])
@@ -1428,6 +1458,125 @@ describe('verifyAssetSupportedCandidates', () => {
     )
   })
 
+  it('should resolve isMissing=false when the blake3 hash endpoint finds the asset', async () => {
+    const hash =
+      '1111111111111111111111111111111111111111111111111111111111111111'
+    const candidates = [
+      makeAssetCandidate('model.safetensors', {
+        hash,
+        hashType: 'blake3'
+      })
+    ]
+    mockCheckAssetHash.mockResolvedValue('exists')
+
+    await verifyAssetSupportedCandidates(candidates)
+
+    expect(candidates[0].isMissing).toBe(false)
+    expect(mockCheckAssetHash).toHaveBeenCalledWith(`blake3:${hash}`, undefined)
+    expect(mockUpdateModelsForNodeType).not.toHaveBeenCalled()
+  })
+
+  it('should fall back to asset store matching when the blake3 hash is not found', async () => {
+    const hash =
+      '2222222222222222222222222222222222222222222222222222222222222222'
+    const candidates = [
+      makeAssetCandidate('my_model.safetensors', {
+        hash,
+        hashType: 'blake3'
+      })
+    ]
+    mockCheckAssetHash.mockResolvedValue('missing')
+    mockGetAssets.mockReturnValue([
+      {
+        id: '1',
+        name: 'my_model.safetensors',
+        asset_hash: null,
+        metadata: { filename: 'my_model.safetensors' }
+      }
+    ])
+
+    await verifyAssetSupportedCandidates(candidates)
+
+    expect(candidates[0].isMissing).toBe(false)
+    expect(mockUpdateModelsForNodeType).toHaveBeenCalledWith(
+      'CheckpointLoaderSimple'
+    )
+  })
+
+  it('should fall back to asset store matching when hash verification fails', async () => {
+    const warn = vi.spyOn(console, 'warn').mockImplementation(() => {})
+    const hash =
+      '3333333333333333333333333333333333333333333333333333333333333333'
+    const candidates = [
+      makeAssetCandidate('my_model.safetensors', {
+        hash,
+        hashType: 'blake3'
+      })
+    ]
+    mockCheckAssetHash.mockRejectedValue(new Error('network failed'))
+    mockGetAssets.mockReturnValue([
+      {
+        id: '1',
+        name: 'my_model.safetensors',
+        asset_hash: null,
+        metadata: { filename: 'my_model.safetensors' }
+      }
+    ])
+
+    await verifyAssetSupportedCandidates(candidates)
+
+    expect(candidates[0].isMissing).toBe(false)
+    expect(mockUpdateModelsForNodeType).toHaveBeenCalledWith(
+      'CheckpointLoaderSimple'
+    )
+    expect(warn).toHaveBeenCalledOnce()
+    warn.mockRestore()
+  })
+
+  it('should skip malformed blake3 hashes and use asset store matching', async () => {
+    const candidates = [
+      makeAssetCandidate('my_model.safetensors', {
+        hash: 'abc123',
+        hashType: 'blake3'
+      })
+    ]
+    mockGetAssets.mockReturnValue([
+      {
+        id: '1',
+        name: 'my_model.safetensors',
+        asset_hash: null,
+        metadata: { filename: 'my_model.safetensors' }
+      }
+    ])
+
+    await verifyAssetSupportedCandidates(candidates)
+
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
+    expect(candidates[0].isMissing).toBe(false)
+  })
+
+  it('should not warn or fall back when hash verification is aborted', async () => {
+    const warn = vi.spyOn(console, 'warn').mockImplementation(() => {})
+    const abortError = new Error('aborted')
+    abortError.name = 'AbortError'
+    const hash =
+      '4444444444444444444444444444444444444444444444444444444444444444'
+    const candidates = [
+      makeAssetCandidate('my_model.safetensors', {
+        hash,
+        hashType: 'blake3'
+      })
+    ]
+    mockCheckAssetHash.mockRejectedValue(abortError)
+
+    await verifyAssetSupportedCandidates(candidates)
+
+    expect(candidates[0].isMissing).toBeUndefined()
+    expect(mockUpdateModelsForNodeType).not.toHaveBeenCalled()
+    expect(warn).not.toHaveBeenCalled()
+    warn.mockRestore()
+  })
+
   it('should resolve isMissing=false when asset with matching hash exists', async () => {
     const candidates = [
       makeAssetCandidate('model.safetensors', {
@@ -1442,6 +1591,7 @@ describe('verifyAssetSupportedCandidates', () => {
     await verifyAssetSupportedCandidates(candidates)
 
     expect(candidates[0].isMissing).toBe(false)
+    expect(mockCheckAssetHash).not.toHaveBeenCalled()
   })
 
   it('should resolve isMissing=false when asset with matching filename exists', async () => {

src/platform/missingModel/missingModelScan.ts

@@ -24,6 +24,11 @@ import {
 } from '@/utils/graphTraversalUtil'
 import { LGraphEventMode } from '@/lib/litegraph/src/types/globalEnums'
 import { resolveComboValues } from '@/utils/litegraphUtil'
+import type { AssetHashStatus } from '@/platform/assets/services/assetService'
+import {
+  assetService,
+  toBlake3AssetHash
+} from '@/platform/assets/services/assetService'
 
 export type MissingModelWorkflowData = FlattenableWorkflowGraph & {
   models?: ModelFile[]
@@ -177,7 +182,7 @@ function scanAssetWidget(
   getDirectory: ((nodeType: string) => string | undefined) | undefined
 ): MissingModelCandidate | null {
   const value = widget.value
-  if (!value.trim()) return null
+  if (typeof value !== 'string' || !value.trim()) return null
   if (!isModelFileName(value)) return null
 
   return {
@@ -445,20 +450,68 @@ interface AssetVerifier {
   getAssets: (nodeType: string) => AssetItem[] | undefined
 }
 
+type AssetHashVerifier = (
+  assetHash: string,
+  signal?: AbortSignal
+) => Promise<AssetHashStatus>
+
 export async function verifyAssetSupportedCandidates(
   candidates: MissingModelCandidate[],
   signal?: AbortSignal,
-  assetsStore?: AssetVerifier
+  assetsStore?: AssetVerifier,
+  checkAssetHash: AssetHashVerifier = assetService.checkAssetHash
 ): Promise<void> {
   if (signal?.aborted) return
 
+  const pendingCandidates = candidates.filter(
+    (c) => c.isAssetSupported && c.isMissing === undefined
+  )
+  if (pendingCandidates.length === 0) return
+
   const pendingNodeTypes = new Set<string>()
-  for (const c of candidates) {
-    if (c.isAssetSupported && c.isMissing === undefined) {
-      pendingNodeTypes.add(c.nodeType)
+  const candidatesByHash = new Map<string, MissingModelCandidate[]>()
+
+  for (const candidate of pendingCandidates) {
+    const assetHash = getBlake3AssetHash(candidate)
+    if (!assetHash) {
+      pendingNodeTypes.add(candidate.nodeType)
+      continue
     }
+
+    const hashCandidates = candidatesByHash.get(assetHash)
+    if (hashCandidates) hashCandidates.push(candidate)
+    else candidatesByHash.set(assetHash, [candidate])
   }
 
+  await Promise.all(
+    Array.from(candidatesByHash, async ([assetHash, hashCandidates]) => {
+      if (signal?.aborted) return
+
+      try {
+        const status = await checkAssetHash(assetHash, signal)
+        if (signal?.aborted) return
+
+        if (status === 'exists') {
+          for (const candidate of hashCandidates) {
+            candidate.isMissing = false
+          }
+          return
+        }
+      } catch (err) {
+        if (signal?.aborted || isAbortError(err)) return
+        console.warn(
+          '[Missing Model Pipeline] Failed to verify asset hash:',
+          err
+        )
+      }
+
+      for (const candidate of hashCandidates) {
+        pendingNodeTypes.add(candidate.nodeType)
+      }
+    })
+  )
+
+  if (signal?.aborted) return
   if (pendingNodeTypes.size === 0) return
 
   const store =
@@ -491,6 +544,20 @@ export async function verifyAssetSupportedCandidates(
   }
 }
 
+function getBlake3AssetHash(candidate: MissingModelCandidate): string | null {
+  if (candidate.hashType?.toLowerCase() !== 'blake3') return null
+  return toBlake3AssetHash(candidate.hash)
+}
+
+function isAbortError(err: unknown): boolean {
+  return (
+    typeof err === 'object' &&
+    err !== null &&
+    'name' in err &&
+    err.name === 'AbortError'
+  )
+}
+
 function normalizePath(path: string): string {
   return path.replace(/\\/g, '/')
 }

src/platform/surveys/surveyRegistry.ts

@@ -11,6 +11,12 @@ export const FEATURE_SURVEYS: Record<string, FeatureSurveyConfig> = {
     triggerThreshold: 3,
     delayMs: 5000
   },
+  'queue-progress-overlay': {
+    featureId: 'queue-progress-overlay',
+    typeformId: 'HZ5saxry',
+    triggerThreshold: 16,
+    delayMs: 5000
+  },
   'error-panel': {
     featureId: 'error-panel',
     typeformId: 'iFp4p4mV',

src/scripts/metadata/__fixtures__/helpers.ts

@@ -0,0 +1,48 @@
+import { vi } from 'vitest'
+
+export const EXPECTED_WORKFLOW = {
+  nodes: [{ id: 1, type: 'KSampler', pos: [100, 100], size: [200, 200] }]
+}
+
+export const EXPECTED_PROMPT = {
+  '1': { class_type: 'KSampler', inputs: {} }
+}
+
+type ReadMethod = 'readAsText' | 'readAsArrayBuffer'
+
+export function mockFileReaderError(method: ReadMethod): void {
+  vi.spyOn(FileReader.prototype, method).mockImplementation(
+    function (this: FileReader) {
+      queueMicrotask(() =>
+        this.onerror?.(new ProgressEvent('error') as ProgressEvent<FileReader>)
+      )
+    }
+  )
+}
+
+export function mockFileReaderAbort(method: ReadMethod): void {
+  vi.spyOn(FileReader.prototype, method).mockImplementation(
+    function (this: FileReader) {
+      queueMicrotask(() =>
+        this.onabort?.(new ProgressEvent('abort') as ProgressEvent<FileReader>)
+      )
+    }
+  )
+}
+
+export function mockFileReaderResult(
+  method: ReadMethod,
+  result: string | ArrayBuffer | null
+): void {
+  vi.spyOn(FileReader.prototype, method).mockImplementation(
+    function (this: FileReader) {
+      Object.defineProperty(this, 'result', {
+        value: result,
+        configurable: true
+      })
+      queueMicrotask(() =>
+        this.onload?.(new ProgressEvent('load') as ProgressEvent<FileReader>)
+      )
+    }
+  )
+}

src/scripts/metadata/avif.test.ts

@@ -1,7 +1,76 @@
-import { beforeEach, describe, expect, it, vi } from 'vitest'
+import fs from 'fs'
+import path from 'path'
+import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest'
 
+import {
+  EXPECTED_PROMPT,
+  EXPECTED_WORKFLOW,
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
 import { getFromAvifFile } from './avif'
 
+const fixturePath = path.resolve(__dirname, '__fixtures__/with_metadata.avif')
+
+afterEach(() => vi.restoreAllMocks())
+
+describe('AVIF metadata', () => {
+  it('extracts workflow and prompt from EXIF data in ISOBMFF boxes', async () => {
+    const bytes = fs.readFileSync(fixturePath)
+    const file = new File([bytes], 'test.avif', { type: 'image/avif' })
+
+    const result = await getFromAvifFile(file)
+
+    expect(JSON.parse(result.workflow)).toEqual(EXPECTED_WORKFLOW)
+    expect(JSON.parse(result.prompt)).toEqual(EXPECTED_PROMPT)
+  })
+
+  it('returns empty for non-AVIF data', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+    const file = new File([new Uint8Array(16)], 'fake.avif')
+
+    const result = await getFromAvifFile(file)
+
+    expect(result).toEqual({})
+    expect(console.error).toHaveBeenCalledWith('Not a valid AVIF file')
+  })
+
+  it('returns empty when AVIF has valid ftyp but corrupt internal boxes', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+
+    const buf = new Uint8Array(40)
+    const dv = new DataView(buf.buffer)
+    dv.setUint32(0, 16)
+    buf.set(new TextEncoder().encode('ftypavif'), 4)
+    dv.setUint32(16, 24)
+    buf.set(new TextEncoder().encode('meta'), 20)
+
+    const file = new File([buf], 'corrupt.avif', { type: 'image/avif' })
+    const result = await getFromAvifFile(file)
+
+    expect(result).toEqual({})
+    expect(console.error).toHaveBeenCalledWith(
+      expect.stringContaining('Error parsing AVIF metadata'),
+      expect.anything()
+    )
+  })
+
+  describe('FileReader failure modes', () => {
+    const file = new File([new Uint8Array(16)], 'test.avif')
+
+    it('resolves empty when the FileReader fires error', async () => {
+      vi.spyOn(console, 'error').mockImplementation(() => {})
+      mockFileReaderError('readAsArrayBuffer')
+      expect(await getFromAvifFile(file)).toEqual({})
+    })
+
+    it('resolves empty when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+      expect(await getFromAvifFile(file)).toEqual({})
+    })
+  })
+})
+
 const setU32BE = (dv: DataView, off: number, val: number) =>
   dv.setUint32(off, val, false)
 const setU16BE = (dv: DataView, off: number, val: number) =>

src/scripts/metadata/avif.ts

@@ -407,6 +407,7 @@ export function getFromAvifFile(file: File): Promise<Record<string, string>> {
       console.error('FileReader: Error reading AVIF file:', err)
       resolve({})
     }
+    reader.onabort = () => resolve({})
     reader.readAsArrayBuffer(file)
   })
 }

src/scripts/metadata/ebml.test.ts

@@ -0,0 +1,49 @@
+import fs from 'fs'
+import path from 'path'
+import { afterEach, describe, expect, it, vi } from 'vitest'
+
+import {
+  EXPECTED_PROMPT,
+  EXPECTED_WORKFLOW,
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
+import { getFromWebmFile } from './ebml'
+
+const fixturePath = path.resolve(__dirname, '__fixtures__/with_metadata.webm')
+
+describe('WebM/EBML metadata', () => {
+  it('extracts workflow and prompt from EBML SimpleTag elements', async () => {
+    const bytes = fs.readFileSync(fixturePath)
+    const file = new File([bytes], 'test.webm', { type: 'video/webm' })
+
+    const result = await getFromWebmFile(file)
+
+    expect(result.workflow).toEqual(EXPECTED_WORKFLOW)
+    expect(result.prompt).toEqual(EXPECTED_PROMPT)
+  })
+
+  it('returns empty for non-WebM data', async () => {
+    const file = new File([new Uint8Array(16)], 'fake.webm')
+
+    const result = await getFromWebmFile(file)
+
+    expect(result).toEqual({})
+  })
+
+  describe('FileReader failure modes', () => {
+    afterEach(() => vi.restoreAllMocks())
+
+    const file = new File([new Uint8Array(16)], 'test.webm')
+
+    it('resolves empty when the FileReader fires error', async () => {
+      mockFileReaderError('readAsArrayBuffer')
+      expect(await getFromWebmFile(file)).toEqual({})
+    })
+
+    it('resolves empty when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+      expect(await getFromWebmFile(file)).toEqual({})
+    })
+  })
+})

src/scripts/metadata/ebml.ts

@@ -353,6 +353,7 @@ export function getFromWebmFile(file: File): Promise<ComfyMetadata> {
     const reader = new FileReader()
     reader.onload = (event) => handleFileLoad(event, resolve)
     reader.onerror = () => resolve({})
+    reader.onabort = () => resolve({})
     reader.readAsArrayBuffer(file.slice(0, MAX_READ_BYTES))
   })
 }

src/scripts/metadata/flac.test.ts

@@ -0,0 +1,56 @@
+import fs from 'fs'
+import path from 'path'
+import { afterEach, describe, expect, it, vi } from 'vitest'
+
+import {
+  EXPECTED_PROMPT,
+  EXPECTED_WORKFLOW,
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
+import { getFromFlacBuffer, getFromFlacFile } from './flac'
+
+const fixturePath = path.resolve(__dirname, '__fixtures__/with_metadata.flac')
+
+afterEach(() => vi.restoreAllMocks())
+
+describe('FLAC metadata', () => {
+  it('extracts workflow and prompt from Vorbis comments', () => {
+    const bytes = fs.readFileSync(fixturePath)
+    const buffer = bytes.buffer.slice(
+      bytes.byteOffset,
+      bytes.byteOffset + bytes.byteLength
+    )
+
+    const result = getFromFlacBuffer(buffer)
+
+    expect(result.workflow).toBe(JSON.stringify(EXPECTED_WORKFLOW))
+    expect(result.prompt).toBe(JSON.stringify(EXPECTED_PROMPT))
+  })
+
+  it('returns undefined for non-FLAC data', () => {
+    const buf = new ArrayBuffer(16)
+    const result = getFromFlacBuffer(buf)
+    expect(result).toBeUndefined()
+  })
+
+  describe('FileReader failure modes', () => {
+    const file = new File([new Uint8Array(16)], 'test.flac')
+
+    it('resolves empty when the FileReader fires error', async () => {
+      mockFileReaderError('readAsArrayBuffer')
+
+      const result = await getFromFlacFile(file)
+
+      expect(result).toEqual({})
+    })
+
+    it('resolves empty when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+
+      const result = await getFromFlacFile(file)
+
+      expect(result).toEqual({})
+    })
+  })
+})

src/scripts/metadata/flac.ts

@@ -42,6 +42,8 @@ export function getFromFlacFile(file: File): Promise<Record<string, string>> {
       const arrayBuffer = event.target.result as ArrayBuffer
       r(getFromFlacBuffer(arrayBuffer))
     }
+    reader.onerror = () => r({})
+    reader.onabort = () => r({})
     reader.readAsArrayBuffer(file)
   })
 }

src/scripts/metadata/gltf.test.ts

@@ -1,7 +1,11 @@
-import { describe, expect, it } from 'vitest'
+import { afterEach, describe, expect, it, vi } from 'vitest'
 
 import { ASCII, GltfSizeBytes } from '@/types/metadataTypes'
 
+import {
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
 import { getGltfBinaryMetadata } from './gltf'
 
 describe('GLTF binary metadata parser', () => {
@@ -160,4 +164,20 @@ describe('GLTF binary metadata parser', () => {
     const metadata = await getGltfBinaryMetadata(invalidEmptyFile)
     expect(metadata).toEqual({})
   })
+
+  describe('FileReader failure modes', () => {
+    afterEach(() => vi.restoreAllMocks())
+
+    const file = new File([new Uint8Array(16)], 'test.glb')
+
+    it('resolves empty when the FileReader fires error', async () => {
+      mockFileReaderError('readAsArrayBuffer')
+      expect(await getGltfBinaryMetadata(file)).toEqual({})
+    })
+
+    it('resolves empty when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+      expect(await getGltfBinaryMetadata(file)).toEqual({})
+    })
+  })
 })

src/scripts/metadata/gltf.ts

@@ -165,6 +165,7 @@ export function getGltfBinaryMetadata(file: File): Promise<ComfyMetadata> {
       }
     }
     reader.onerror = () => resolve({})
+    reader.onabort = () => resolve({})
     reader.readAsArrayBuffer(file.slice(0, bytesToRead))
   })
 }

src/scripts/metadata/isobmff.test.ts

@@ -0,0 +1,52 @@
+import fs from 'fs'
+import path from 'path'
+import { afterEach, describe, expect, it, vi } from 'vitest'
+
+import {
+  EXPECTED_PROMPT,
+  EXPECTED_WORKFLOW,
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
+import { getFromIsobmffFile } from './isobmff'
+
+const fixturePath = path.resolve(__dirname, '__fixtures__/with_metadata.mp4')
+
+describe('ISOBMFF (MP4) metadata', () => {
+  it('extracts workflow and prompt from QuickTime keys/ilst boxes', async () => {
+    const bytes = fs.readFileSync(fixturePath)
+    const file = new File([bytes], 'test.mp4', { type: 'video/mp4' })
+
+    const result = await getFromIsobmffFile(file)
+
+    expect(result.workflow).toEqual(EXPECTED_WORKFLOW)
+    expect(result.prompt).toEqual(EXPECTED_PROMPT)
+  })
+
+  it('returns empty for non-ISOBMFF data', async () => {
+    const file = new File([new Uint8Array(16)], 'fake.mp4', {
+      type: 'video/mp4'
+    })
+
+    const result = await getFromIsobmffFile(file)
+
+    expect(result).toEqual({})
+  })
+
+  describe('FileReader failure modes', () => {
+    afterEach(() => vi.restoreAllMocks())
+
+    const file = new File([new Uint8Array(16)], 'test.mp4')
+
+    it('resolves empty when the FileReader fires error', async () => {
+      vi.spyOn(console, 'error').mockImplementation(() => {})
+      mockFileReaderError('readAsArrayBuffer')
+      expect(await getFromIsobmffFile(file)).toEqual({})
+    })
+
+    it('resolves empty when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+      expect(await getFromIsobmffFile(file)).toEqual({})
+    })
+  })
+})

src/scripts/metadata/isobmff.ts

@@ -274,6 +274,7 @@ export function getFromIsobmffFile(file: File): Promise<ComfyMetadata> {
       console.error('FileReader: Error reading ISOBMFF file:', err)
       resolve({})
     }
+    reader.onabort = () => resolve({})
     reader.readAsArrayBuffer(file.slice(0, MAX_READ_BYTES))
   })
 }

src/scripts/metadata/json.test.ts

@@ -0,0 +1,91 @@
+import { afterEach, describe, expect, it, vi } from 'vitest'
+
+import {
+  mockFileReaderAbort,
+  mockFileReaderError,
+  mockFileReaderResult
+} from './__fixtures__/helpers'
+import { getDataFromJSON } from './json'
+
+function jsonFile(content: object): File {
+  return new File([JSON.stringify(content)], 'test.json', {
+    type: 'application/json'
+  })
+}
+
+describe('getDataFromJSON', () => {
+  it('detects API-format workflows by class_type on every value', async () => {
+    const apiData = {
+      '1': { class_type: 'KSampler', inputs: {} },
+      '2': { class_type: 'EmptyLatentImage', inputs: {} }
+    }
+
+    const result = await getDataFromJSON(jsonFile(apiData))
+
+    expect(result).toEqual({ prompt: apiData })
+  })
+
+  it('treats objects without universal class_type as a workflow', async () => {
+    const workflow = { nodes: [], links: [], version: 1 }
+
+    const result = await getDataFromJSON(jsonFile(workflow))
+
+    expect(result).toEqual({ workflow })
+  })
+
+  it('extracts templates when the root object has a templates key', async () => {
+    const templates = [{ name: 'basic' }]
+
+    const result = await getDataFromJSON(jsonFile({ templates }))
+
+    expect(result).toEqual({ templates })
+  })
+
+  it('returns undefined for non-JSON content', async () => {
+    const file = new File(['not valid json'], 'bad.json', {
+      type: 'application/json'
+    })
+
+    const result = await getDataFromJSON(file)
+
+    expect(result).toBeUndefined()
+  })
+
+  describe('FileReader failure modes', () => {
+    afterEach(() => {
+      vi.restoreAllMocks()
+    })
+
+    it('resolves undefined when the FileReader fires error', async () => {
+      mockFileReaderError('readAsText')
+
+      const result = await getDataFromJSON(jsonFile({ nodes: [] }))
+
+      expect(result).toBeUndefined()
+    })
+
+    it('resolves undefined when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsText')
+
+      const result = await getDataFromJSON(jsonFile({ nodes: [] }))
+
+      expect(result).toBeUndefined()
+    })
+
+    it('resolves undefined when reader.result is not a string', async () => {
+      mockFileReaderResult('readAsText', new ArrayBuffer(8))
+
+      const result = await getDataFromJSON(jsonFile({ nodes: [] }))
+
+      expect(result).toBeUndefined()
+    })
+
+    it('resolves undefined when reader.result is null', async () => {
+      mockFileReaderResult('readAsText', null)
+
+      const result = await getDataFromJSON(jsonFile({ nodes: [] }))
+
+      expect(result).toBeUndefined()
+    })
+  })
+})

src/scripts/metadata/json.ts

@@ -6,21 +6,28 @@ export function getDataFromJSON(
   return new Promise<Record<string, object> | undefined>((resolve) => {
     const reader = new FileReader()
     reader.onload = async () => {
-      const readerResult = reader.result as string
-      const jsonContent = JSON.parse(readerResult)
-      if (jsonContent?.templates) {
-        resolve({ templates: jsonContent.templates })
-        return
+      try {
+        if (typeof reader.result !== 'string') {
+          resolve(undefined)
+          return
+        }
+        const jsonContent = JSON.parse(reader.result)
+        if (jsonContent?.templates) {
+          resolve({ templates: jsonContent.templates })
+          return
+        }
+        if (isApiJson(jsonContent)) {
+          resolve({ prompt: jsonContent })
+          return
+        }
+        resolve({ workflow: jsonContent })
+      } catch {
+        resolve(undefined)
       }
-      if (isApiJson(jsonContent)) {
-        resolve({ prompt: jsonContent })
-        return
-      }
-      resolve({ workflow: jsonContent })
-      return
     }
+    reader.onerror = () => resolve(undefined)
+    reader.onabort = () => resolve(undefined)
     reader.readAsText(file)
-    return
   })
 }
 

src/scripts/metadata/mp3.test.ts

@@ -0,0 +1,106 @@
+import fs from 'fs'
+import path from 'path'
+import { afterEach, describe, expect, it, vi } from 'vitest'
+
+import {
+  EXPECTED_PROMPT,
+  EXPECTED_WORKFLOW,
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
+import { getMp3Metadata } from './mp3'
+
+const fixturePath = path.resolve(__dirname, '__fixtures__/with_metadata.mp3')
+
+afterEach(() => vi.restoreAllMocks())
+
+describe('MP3 metadata', () => {
+  it('extracts workflow and prompt from ID3 tags', async () => {
+    const bytes = fs.readFileSync(fixturePath)
+    const file = new File([bytes], 'test.mp3', { type: 'audio/mpeg' })
+
+    const result = await getMp3Metadata(file)
+
+    expect(result.workflow).toEqual(EXPECTED_WORKFLOW)
+    expect(result.prompt).toEqual(EXPECTED_PROMPT)
+  })
+
+  it('returns undefined fields when file has no embedded metadata', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+    const file = new File([new Uint8Array(16)], 'empty.mp3', {
+      type: 'audio/mpeg'
+    })
+
+    const result = await getMp3Metadata(file)
+
+    expect(result.workflow).toBeUndefined()
+    expect(result.prompt).toBeUndefined()
+    expect(console.error).toHaveBeenCalledWith('Invalid file signature.')
+  })
+
+  it('does not log an invalid signature for a valid MP3 sync header', async () => {
+    const errorSpy = vi.spyOn(console, 'error').mockImplementation(() => {})
+    const buf = new Uint8Array(16)
+    buf[0] = 0xff
+    buf[1] = 0xfb
+    const file = new File([buf], 'valid.mp3', { type: 'audio/mpeg' })
+
+    await getMp3Metadata(file)
+
+    expect(errorSpy).not.toHaveBeenCalled()
+  })
+
+  it('does not log an invalid signature for a valid ID3v2 header', async () => {
+    const errorSpy = vi.spyOn(console, 'error').mockImplementation(() => {})
+    const buf = new Uint8Array(16)
+    buf[0] = 0x49
+    buf[1] = 0x44
+    buf[2] = 0x33
+    const file = new File([buf], 'valid-id3.mp3', { type: 'audio/mpeg' })
+
+    await getMp3Metadata(file)
+
+    expect(errorSpy).not.toHaveBeenCalled()
+  })
+
+  it('extracts metadata that spans the 4096-byte page boundary', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+    const metadata =
+      `prompt\0${JSON.stringify(EXPECTED_PROMPT)}\0` +
+      `workflow\0${JSON.stringify(EXPECTED_WORKFLOW)}\0`
+    const metadataStart = 4090
+    const size = metadataStart + metadata.length + 4
+    const buf = new Uint8Array(size)
+    for (let i = 0; i < metadata.length; i++) {
+      buf[metadataStart + i] = metadata.charCodeAt(i)
+    }
+    buf[size - 2] = 0xff
+    buf[size - 1] = 0xfb
+    const file = new File([buf], 'large.mp3', { type: 'audio/mpeg' })
+
+    const result = await getMp3Metadata(file)
+
+    expect(result.workflow).toEqual(EXPECTED_WORKFLOW)
+    expect(result.prompt).toEqual(EXPECTED_PROMPT)
+  })
+
+  describe('FileReader failure modes', () => {
+    const file = new File([new Uint8Array(16)], 'test.mp3')
+
+    it('resolves undefined fields when the FileReader fires error', async () => {
+      mockFileReaderError('readAsArrayBuffer')
+
+      const result = await getMp3Metadata(file)
+
+      expect(result).toEqual({ prompt: undefined, workflow: undefined })
+    })
+
+    it('resolves undefined fields when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+
+      const result = await getMp3Metadata(file)
+
+      expect(result).toEqual({ prompt: undefined, workflow: undefined })
+    })
+  })
+})

src/scripts/metadata/mp3.ts

@@ -1,21 +1,28 @@
 export async function getMp3Metadata(file: File) {
   const reader = new FileReader()
-  const read_process = new Promise(
-    (r) => (reader.onload = (event) => r(event?.target?.result))
-  )
+  const read_process = new Promise<ArrayBuffer | null>((r) => {
+    reader.onload = (event) => r((event?.target?.result as ArrayBuffer) ?? null)
+    reader.onerror = () => r(null)
+    reader.onabort = () => r(null)
+  })
   reader.readAsArrayBuffer(file)
-  const arrayBuffer = (await read_process) as ArrayBuffer
+  const arrayBuffer = await read_process
+  if (!arrayBuffer) return { prompt: undefined, workflow: undefined }
   //https://stackoverflow.com/questions/7302439/how-can-i-determine-that-a-particular-file-is-in-fact-an-mp3-file#7302482
   const sig_bytes = new Uint8Array(arrayBuffer, 0, 3)
   if (
-    (sig_bytes[0] != 0xff && sig_bytes[1] != 0xfb) ||
-    (sig_bytes[0] != 0x49 && sig_bytes[1] != 0x44 && sig_bytes[2] != 0x33)
+    (sig_bytes[0] != 0xff || sig_bytes[1] != 0xfb) &&
+    (sig_bytes[0] != 0x49 || sig_bytes[1] != 0x44 || sig_bytes[2] != 0x33)
   )
     console.error('Invalid file signature.')
   let header = ''
   while (header.length < arrayBuffer.byteLength) {
     const page = String.fromCharCode(
-      ...new Uint8Array(arrayBuffer, header.length, header.length + 4096)
+      ...new Uint8Array(
+        arrayBuffer,
+        header.length,
+        Math.min(4096, arrayBuffer.byteLength - header.length)
+      )
     )
     header += page
     if (page.match('\u00ff\u00fb')) break

src/scripts/metadata/ogg.test.ts

@@ -0,0 +1,74 @@
+import fs from 'fs'
+import path from 'path'
+import { afterEach, describe, expect, it, vi } from 'vitest'
+
+import {
+  EXPECTED_PROMPT,
+  EXPECTED_WORKFLOW,
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
+import { getOggMetadata } from './ogg'
+
+const fixturePath = path.resolve(__dirname, '__fixtures__/with_metadata.opus')
+
+afterEach(() => vi.restoreAllMocks())
+
+describe('OGG/Opus metadata', () => {
+  it('extracts workflow and prompt from an Opus file', async () => {
+    const bytes = fs.readFileSync(fixturePath)
+    const file = new File([bytes], 'test.opus', { type: 'audio/ogg' })
+
+    const result = await getOggMetadata(file)
+
+    expect(result.workflow).toEqual(EXPECTED_WORKFLOW)
+    expect(result.prompt).toEqual(EXPECTED_PROMPT)
+  })
+
+  it('returns undefined fields for non-OGG data', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+    const file = new File([new Uint8Array(16)], 'fake.ogg', {
+      type: 'audio/ogg'
+    })
+
+    const result = await getOggMetadata(file)
+
+    expect(result.workflow).toBeUndefined()
+    expect(result.prompt).toBeUndefined()
+    expect(console.error).toHaveBeenCalledWith('Invalid file signature.')
+  })
+
+  it('handles files larger than 4096 bytes without RangeError', async () => {
+    const size = 5000
+    const buf = new Uint8Array(size)
+    const oggs = new TextEncoder().encode('OggS\0')
+    buf.set(oggs, 0)
+    buf.set(oggs, 4500)
+    const file = new File([buf], 'large.ogg', { type: 'audio/ogg' })
+
+    const result = await getOggMetadata(file)
+
+    expect(result.workflow).toBeUndefined()
+    expect(result.prompt).toBeUndefined()
+  })
+
+  describe('FileReader failure modes', () => {
+    const file = new File([new Uint8Array(16)], 'test.ogg')
+
+    it('resolves undefined fields when the FileReader fires error', async () => {
+      mockFileReaderError('readAsArrayBuffer')
+
+      const result = await getOggMetadata(file)
+
+      expect(result).toEqual({ prompt: undefined, workflow: undefined })
+    })
+
+    it('resolves undefined fields when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+
+      const result = await getOggMetadata(file)
+
+      expect(result).toEqual({ prompt: undefined, workflow: undefined })
+    })
+  })
+})

src/scripts/metadata/ogg.ts

@@ -1,17 +1,24 @@
 export async function getOggMetadata(file: File) {
   const reader = new FileReader()
-  const read_process = new Promise(
-    (r) => (reader.onload = (event) => r(event?.target?.result))
-  )
+  const read_process = new Promise<ArrayBuffer | null>((r) => {
+    reader.onload = (event) => r((event?.target?.result as ArrayBuffer) ?? null)
+    reader.onerror = () => r(null)
+    reader.onabort = () => r(null)
+  })
   reader.readAsArrayBuffer(file)
-  const arrayBuffer = (await read_process) as ArrayBuffer
+  const arrayBuffer = await read_process
+  if (!arrayBuffer) return { prompt: undefined, workflow: undefined }
   const signature = String.fromCharCode(...new Uint8Array(arrayBuffer, 0, 4))
   if (signature !== 'OggS') console.error('Invalid file signature.')
   let oggs = 0
   let header = ''
   while (header.length < arrayBuffer.byteLength) {
     const page = String.fromCharCode(
-      ...new Uint8Array(arrayBuffer, header.length, header.length + 4096)
+      ...new Uint8Array(
+        arrayBuffer,
+        header.length,
+        Math.min(4096, arrayBuffer.byteLength - header.length)
+      )
     )
     if (page.match('OggS\u0000')) oggs++
     header += page

src/scripts/metadata/png.test.ts

@@ -1,11 +1,19 @@
-import { describe, expect, it } from 'vitest'
+import { afterEach, describe, expect, it, vi } from 'vitest'
 
-import { getFromPngBuffer } from './png'
+import {
+  mockFileReaderAbort,
+  mockFileReaderError
+} from './__fixtures__/helpers'
+import { getFromPngBuffer, getFromPngFile } from './png'
+
+afterEach(() => vi.restoreAllMocks())
+
+const PNG_SIGNATURE = [0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a]
 
 function createPngWithChunk(
   chunkType: string,
   keyword: string,
-  content: string,
+  content: string | Uint8Array,
   options: {
     compressionFlag?: number
     compressionMethod?: number
@@ -20,12 +28,11 @@ function createPngWithChunk(
     translatedKeyword = ''
   } = options
 
-  const signature = new Uint8Array([
-    0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a
-  ])
+  const signature = new Uint8Array(PNG_SIGNATURE)
   const typeBytes = new TextEncoder().encode(chunkType)
   const keywordBytes = new TextEncoder().encode(keyword)
-  const contentBytes = new TextEncoder().encode(content)
+  const contentBytes =
+    content instanceof Uint8Array ? content : new TextEncoder().encode(content)
 
   let chunkData: Uint8Array
   if (chunkType === 'iTXt') {
@@ -66,12 +73,11 @@ function createPngWithChunk(
   new DataView(lengthBytes.buffer).setUint32(0, chunkData.length, false)
 
   const crc = new Uint8Array(4)
-
   const iendType = new TextEncoder().encode('IEND')
   const iendLength = new Uint8Array(4)
   const iendCrc = new Uint8Array(4)
 
-  const total = signature.length + 4 + 4 + chunkData.length + 4 + 4 + 4 + 0 + 4
+  const total = signature.length + (4 + 4 + chunkData.length + 4) + (4 + 4 + 4)
   const result = new Uint8Array(total)
 
   let offset = 0
@@ -138,6 +144,21 @@ describe('getFromPngBuffer', () => {
     expect(result['workflow']).toBe(workflow)
   })
 
+  it('logs warning and skips iTXt chunk with unsupported compression method', async () => {
+    vi.spyOn(console, 'warn').mockImplementation(() => {})
+    const buffer = createPngWithChunk('iTXt', 'workflow', 'data', {
+      compressionFlag: 1,
+      compressionMethod: 99
+    })
+
+    const result = await getFromPngBuffer(buffer)
+
+    expect(result['workflow']).toBeUndefined()
+    expect(console.warn).toHaveBeenCalledWith(
+      expect.stringContaining('Unsupported compression method 99')
+    )
+  })
+
   it('parses compressed iTXt chunk', async () => {
     const workflow = '{"nodes":[{"id":1,"type":"KSampler"}]}'
     const contentBytes = new TextEncoder().encode(workflow)
@@ -163,83 +184,49 @@ describe('getFromPngBuffer', () => {
       pos += chunk.length
     }
 
-    const buffer = createPngWithCompressedITXt(
-      'workflow',
-      compressedBytes,
-      '',
-      ''
-    )
+    const buffer = createPngWithChunk('iTXt', 'workflow', compressedBytes, {
+      compressionFlag: 1,
+      compressionMethod: 0
+    })
     const result = await getFromPngBuffer(buffer)
     expect(result['workflow']).toBe(workflow)
   })
 })
 
-function createPngWithCompressedITXt(
-  keyword: string,
-  compressedContent: Uint8Array,
-  languageTag: string,
-  translatedKeyword: string
-): ArrayBuffer {
-  const signature = new Uint8Array([
-    0x89, 0x50, 0x4e, 0x47, 0x0d, 0x0a, 0x1a, 0x0a
-  ])
-  const typeBytes = new TextEncoder().encode('iTXt')
-  const keywordBytes = new TextEncoder().encode(keyword)
-  const langBytes = new TextEncoder().encode(languageTag)
-  const transBytes = new TextEncoder().encode(translatedKeyword)
+describe('getFromPngFile', () => {
+  it('reads metadata from a File object', async () => {
+    const workflow = '{"nodes":[]}'
+    const buffer = createPngWithChunk('tEXt', 'workflow', workflow)
+    const file = new File([buffer], 'test.png', { type: 'image/png' })
 
-  const totalLength =
-    keywordBytes.length +
-    1 +
-    2 +
-    langBytes.length +
-    1 +
-    transBytes.length +
-    1 +
-    compressedContent.length
+    const result = await getFromPngFile(file)
 
-  const chunkData = new Uint8Array(totalLength)
-  let pos = 0
-  chunkData.set(keywordBytes, pos)
-  pos += keywordBytes.length
-  chunkData[pos++] = 0
-  chunkData[pos++] = 1
-  chunkData[pos++] = 0
-  chunkData.set(langBytes, pos)
-  pos += langBytes.length
-  chunkData[pos++] = 0
-  chunkData.set(transBytes, pos)
-  pos += transBytes.length
-  chunkData[pos++] = 0
-  chunkData.set(compressedContent, pos)
+    expect(result['workflow']).toBe(workflow)
+  })
 
-  const lengthBytes = new Uint8Array(4)
-  new DataView(lengthBytes.buffer).setUint32(0, chunkData.length, false)
+  it('returns empty for an invalid PNG File', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+    const file = new File([new ArrayBuffer(8)], 'bad.png', {
+      type: 'image/png'
+    })
 
-  const crc = new Uint8Array(4)
-  const iendType = new TextEncoder().encode('IEND')
-  const iendLength = new Uint8Array(4)
-  const iendCrc = new Uint8Array(4)
+    const result = await getFromPngFile(file)
 
-  const total = signature.length + 4 + 4 + chunkData.length + 4 + 4 + 4 + 0 + 4
-  const result = new Uint8Array(total)
+    expect(result).toEqual({})
+    expect(console.error).toHaveBeenCalledWith('Not a valid PNG file')
+  })
 
-  let offset = 0
-  result.set(signature, offset)
-  offset += signature.length
-  result.set(lengthBytes, offset)
-  offset += 4
-  result.set(typeBytes, offset)
-  offset += 4
-  result.set(chunkData, offset)
-  offset += chunkData.length
-  result.set(crc, offset)
-  offset += 4
-  result.set(iendLength, offset)
-  offset += 4
-  result.set(iendType, offset)
-  offset += 4
-  result.set(iendCrc, offset)
+  describe('FileReader failure modes', () => {
+    const file = new File([new Uint8Array(16)], 'test.png')
 
-  return result.buffer
-}
+    it('rejects when the FileReader fires error', async () => {
+      mockFileReaderError('readAsArrayBuffer')
+      await expect(getFromPngFile(file)).rejects.toBeDefined()
+    })
+
+    it('rejects when the FileReader fires abort', async () => {
+      mockFileReaderAbort('readAsArrayBuffer')
+      await expect(getFromPngFile(file)).rejects.toThrow('FileReader aborted')
+    })
+  })
+})

src/scripts/metadata/png.ts

@@ -126,6 +126,7 @@ export async function getFromPngFile(
       resolve(result)
     }
     reader.onerror = () => reject(reader.error)
+    reader.onabort = () => reject(new Error('FileReader aborted'))
     reader.readAsArrayBuffer(file)
   })
 }

src/scripts/metadata/svg.test.ts

@@ -0,0 +1,42 @@
+import { describe, expect, it } from 'vitest'
+
+import { getSvgMetadata } from './svg'
+
+function svgFile(content: string): File {
+  return new File([content], 'test.svg', { type: 'image/svg+xml' })
+}
+
+describe('getSvgMetadata', () => {
+  it('extracts workflow and prompt from CDATA in <metadata>', async () => {
+    const svg = `<svg xmlns="http://www.w3.org/2000/svg">
+      <metadata><![CDATA[${JSON.stringify({
+        workflow: { nodes: [] },
+        prompt: { '1': {} }
+      })}]]></metadata>
+      <rect width="1" height="1"/>
+    </svg>`
+
+    const result = await getSvgMetadata(svgFile(svg))
+
+    expect(result).toEqual({
+      workflow: { nodes: [] },
+      prompt: { '1': {} }
+    })
+  })
+
+  it('returns empty when SVG has no metadata element', async () => {
+    const svg = '<svg xmlns="http://www.w3.org/2000/svg"><rect/></svg>'
+
+    const result = await getSvgMetadata(svgFile(svg))
+
+    expect(result).toEqual({})
+  })
+
+  it('returns empty when CDATA contains invalid JSON', async () => {
+    const svg = `<svg><metadata><![CDATA[not valid json]]></metadata></svg>`
+
+    const result = await getSvgMetadata(svgFile(svg))
+
+    expect(result).toEqual({})
+  })
+})

src/scripts/pnginfo.test.ts

@@ -1,4 +1,6 @@
-import { describe, expect, it, vi } from 'vitest'
+import fs from 'fs'
+import path from 'path'
+import { afterEach, describe, expect, it, vi } from 'vitest'
 
 import { getFromAvifFile } from './metadata/avif'
 import { getFromFlacFile } from './metadata/flac'
@@ -21,67 +23,183 @@ vi.mock('./metadata/avif', () => ({
   getFromAvifFile: vi.fn()
 }))
 
-function buildExifPayload(workflowJson: string): Uint8Array {
-  const fullStr = `workflow:${workflowJson}\0`
-  const strBytes = new TextEncoder().encode(fullStr)
+afterEach(() => vi.restoreAllMocks())
 
-  const headerSize = 22
-  const buf = new Uint8Array(headerSize + strBytes.length)
+const fixturesDir = path.resolve(__dirname, 'metadata/__fixtures__')
+
+type AsciiIfdEntry = { tag: number; value: string }
+
+function encodeAsciiIfd(entries: AsciiIfdEntry[]): Uint8Array {
+  const tableSize = 10 + 12 * entries.length
+  const strings = entries.map((e) => new TextEncoder().encode(`${e.value}\0`))
+  const totalStringBytes = strings.reduce((sum, s) => sum + s.length, 0)
+
+  const buf = new Uint8Array(tableSize + totalStringBytes)
   const dv = new DataView(buf.buffer)
 
   buf.set([0x49, 0x49], 0)
   dv.setUint16(2, 0x002a, true)
   dv.setUint32(4, 8, true)
-  dv.setUint16(8, 1, true)
-  dv.setUint16(10, 0, true)
-  dv.setUint16(12, 2, true)
-  dv.setUint32(14, strBytes.length, true)
-  dv.setUint32(18, 22, true)
-  buf.set(strBytes, 22)
+  dv.setUint16(8, entries.length, true)
+
+  let stringOffset = tableSize
+  for (let i = 0; i < entries.length; i++) {
+    const entryOffset = 10 + i * 12
+    dv.setUint16(entryOffset, entries[i].tag, true)
+    dv.setUint16(entryOffset + 2, 2, true)
+    dv.setUint32(entryOffset + 4, strings[i].length, true)
+    dv.setUint32(entryOffset + 8, stringOffset, true)
+    buf.set(strings[i], stringOffset)
+    stringOffset += strings[i].length
+  }
 
   return buf
 }
 
-function buildWebp(precedingChunkLength: number, workflowJson: string): File {
-  const exifPayload = buildExifPayload(workflowJson)
-  const precedingPadded = precedingChunkLength + (precedingChunkLength % 2)
-  const totalSize = 12 + (8 + precedingPadded) + (8 + exifPayload.length)
+type WebpChunk = { type: string; payload: Uint8Array }
 
-  const buffer = new Uint8Array(totalSize)
-  const dv = new DataView(buffer.buffer)
+function wrapInWebp(chunks: WebpChunk[]): File {
+  let payloadSize = 0
+  for (const c of chunks) {
+    payloadSize += 8 + c.payload.length + (c.payload.length % 2)
+  }
+  const totalSize = 12 + payloadSize
+  const buf = new Uint8Array(totalSize)
+  const dv = new DataView(buf.buffer)
 
-  buffer.set([0x52, 0x49, 0x46, 0x46], 0)
+  buf.set([0x52, 0x49, 0x46, 0x46], 0)
   dv.setUint32(4, totalSize - 8, true)
-  buffer.set([0x57, 0x45, 0x42, 0x50], 8)
+  buf.set([0x57, 0x45, 0x42, 0x50], 8)
 
-  buffer.set([0x56, 0x50, 0x38, 0x20], 12)
-  dv.setUint32(16, precedingChunkLength, true)
+  let offset = 12
+  for (const c of chunks) {
+    for (let i = 0; i < 4; i++) {
+      buf[offset + i] = c.type.charCodeAt(i)
+    }
+    dv.setUint32(offset + 4, c.payload.length, true)
+    buf.set(c.payload, offset + 8)
+    offset += 8 + c.payload.length + (c.payload.length % 2)
+  }
 
-  const exifStart = 20 + precedingPadded
-  buffer.set([0x45, 0x58, 0x49, 0x46], exifStart)
-  dv.setUint32(exifStart + 4, exifPayload.length, true)
-  buffer.set(exifPayload, exifStart + 8)
+  return new File([buf], 'test.webp', { type: 'image/webp' })
+}
 
-  return new File([buffer], 'test.webp', { type: 'image/webp' })
+function exifChunk(
+  entries: AsciiIfdEntry[],
+  options: { withExifPrefix?: boolean } = {}
+): WebpChunk {
+  const ifd = encodeAsciiIfd(entries)
+  if (!options.withExifPrefix) {
+    return { type: 'EXIF', payload: ifd }
+  }
+  const prefixed = new Uint8Array(6 + ifd.length)
+  prefixed.set(new TextEncoder().encode('Exif\0\0'), 0)
+  prefixed.set(ifd, 6)
+  return { type: 'EXIF', payload: prefixed }
 }
 
 describe('getWebpMetadata', () => {
-  it('finds workflow when a preceding chunk has odd length (RIFF padding)', async () => {
-    const workflow = '{"nodes":[]}'
-    const file = buildWebp(3, workflow)
+  it('returns empty when the file is not a valid WEBP', async () => {
+    vi.spyOn(console, 'error').mockImplementation(() => {})
+    const file = new File([new Uint8Array(12)], 'fake.webp')
 
     const metadata = await getWebpMetadata(file)
 
-    expect(metadata.workflow).toBe(workflow)
+    expect(metadata).toEqual({})
+    expect(console.error).toHaveBeenCalledWith('Not a valid WEBP file')
   })
 
-  it('finds workflow when preceding chunk has even length (no padding)', async () => {
-    const workflow = '{"nodes":[1]}'
-    const file = buildWebp(4, workflow)
+  it('returns empty when a valid WEBP has no EXIF chunk', async () => {
+    const file = wrapInWebp([
+      { type: 'VP8 ', payload: new Uint8Array([0, 0, 0, 0]) }
+    ])
 
     const metadata = await getWebpMetadata(file)
 
-    expect(metadata.workflow).toBe(workflow)
+    expect(metadata).toEqual({})
+  })
+
+  it('extracts workflow and prompt from EXIF without prefix', async () => {
+    const bytes = fs.readFileSync(path.join(fixturesDir, 'with_metadata.webp'))
+    const file = new File([bytes], 'test.webp', { type: 'image/webp' })
+
+    const metadata = await getWebpMetadata(file)
+
+    expect(metadata).toEqual({
+      workflow:
+        '{"nodes":[{"id":1,"type":"KSampler","pos":[100,100],"size":[200,200]}]}',
+      prompt: '{"1":{"class_type":"KSampler","inputs":{}}}'
+    })
+  })
+
+  it('extracts workflow and prompt from EXIF with Exif\\0\\0 prefix', async () => {
+    const bytes = fs.readFileSync(
+      path.join(fixturesDir, 'with_metadata_exif_prefix.webp')
+    )
+    const file = new File([bytes], 'test.webp', { type: 'image/webp' })
+
+    const metadata = await getWebpMetadata(file)
+
+    expect(metadata).toEqual({
+      workflow:
+        '{"nodes":[{"id":1,"type":"KSampler","pos":[100,100],"size":[200,200]}]}',
+      prompt: '{"1":{"class_type":"KSampler","inputs":{}}}'
+    })
+  })
+
+  it('walks past odd-length preceding chunks (RIFF padding)', async () => {
+    const file = wrapInWebp([
+      { type: 'VP8 ', payload: new Uint8Array(3) },
+      exifChunk([{ tag: 0, value: 'workflow:{"a":1}' }])
+    ])
+
+    const metadata = await getWebpMetadata(file)
+
+    expect(metadata).toEqual({ workflow: '{"a":1}' })
+  })
+})
+
+describe('getLatentMetadata', () => {
+  function buildSafetensors(headerObj: object): File {
+    const headerBytes = new TextEncoder().encode(JSON.stringify(headerObj))
+    const buf = new Uint8Array(8 + headerBytes.length)
+    const dv = new DataView(buf.buffer)
+    dv.setUint32(0, headerBytes.length, true)
+    dv.setUint32(4, 0, true)
+    buf.set(headerBytes, 8)
+    return new File([buf], 'test.safetensors')
+  }
+
+  it('extracts __metadata__ from a safetensors header', async () => {
+    const workflow =
+      '{"nodes":[{"id":1,"type":"KSampler","pos":[100,100],"size":[200,200]}]}'
+    const prompt = '{"1":{"class_type":"KSampler","inputs":{}}}'
+    const file = buildSafetensors({
+      __metadata__: { workflow, prompt },
+      'tensor.weight': { dtype: 'F32', shape: [1], data_offsets: [0, 4] }
+    })
+
+    const metadata = await getLatentMetadata(file)
+
+    expect(metadata).toEqual({ workflow, prompt })
+  })
+
+  it('returns undefined when the safetensors header has no __metadata__', async () => {
+    const file = buildSafetensors({
+      'tensor.weight': { dtype: 'F32', shape: [1], data_offsets: [0, 4] }
+    })
+
+    const metadata = await getLatentMetadata(file)
+
+    expect(metadata).toBeUndefined()
+  })
+
+  it('returns undefined for a truncated or malformed file', async () => {
+    const file = new File([new Uint8Array(4)], 'bad.safetensors')
+
+    const metadata = await getLatentMetadata(file)
+
+    expect(metadata).toBeUndefined()
   })
 })
 
@@ -116,37 +234,3 @@ describe('format-specific metadata wrappers', () => {
     expect(result).toEqual({ workflow: '{"avif":1}' })
   })
 })
-
-const buildSafetensors = (header: Record<string, unknown>): File => {
-  const headerJson = JSON.stringify(header)
-  const headerBytes = new TextEncoder().encode(headerJson)
-  const buf = new ArrayBuffer(8 + headerBytes.length)
-  const dv = new DataView(buf)
-  dv.setUint32(0, headerBytes.length, true)
-  dv.setUint32(4, 0, true)
-  new Uint8Array(buf, 8).set(headerBytes)
-  return new File([buf], 'x.safetensors')
-}
-
-describe('getLatentMetadata', () => {
-  it('returns the __metadata__ object from a safetensors header', async () => {
-    const file = buildSafetensors({
-      __metadata__: { workflow: '{"nodes":[]}', extra: 'value' },
-      'tensor.weight': { dtype: 'F32', shape: [1], data_offsets: [0, 4] }
-    })
-
-    const result = await getLatentMetadata(file)
-
-    expect(result).toEqual({ workflow: '{"nodes":[]}', extra: 'value' })
-  })
-
-  it('resolves undefined when header has no __metadata__ entry', async () => {
-    const file = buildSafetensors({
-      'tensor.weight': { dtype: 'F32', shape: [1], data_offsets: [0, 4] }
-    })
-
-    const result = await getLatentMetadata(file)
-
-    expect(result).toBeUndefined()
-  })
-})

src/scripts/pnginfo.ts

@@ -105,14 +105,17 @@ export function getWebpMetadata(file: File) {
           ...webp.slice(offset, offset + 4)
         )
         if (chunk_type === 'EXIF') {
+          let exifOffset = offset + 8
+          let exifLength = chunk_length
           if (
-            String.fromCharCode(...webp.slice(offset + 8, offset + 8 + 6)) ==
+            String.fromCharCode(...webp.slice(exifOffset, exifOffset + 6)) ==
             'Exif\0\0'
           ) {
-            offset += 6
+            exifOffset += 6
+            exifLength -= 6
           }
-          let data = parseExifData(
-            webp.slice(offset + 8, offset + 8 + chunk_length)
+          const data = parseExifData(
+            webp.slice(exifOffset, exifOffset + exifLength)
           )
           for (const key in data) {
             const value = data[Number(key)]
@@ -131,30 +134,38 @@ export function getWebpMetadata(file: File) {
 
       r(txt_chunks)
     }
-
+    reader.onerror = () => r({})
+    reader.onabort = () => r({})
     reader.readAsArrayBuffer(file)
   })
 }
 
-export function getLatentMetadata(file: File): Promise<Record<string, string>> {
+export function getLatentMetadata(
+  file: File
+): Promise<Record<string, string> | undefined> {
   return new Promise((r) => {
     const reader = new FileReader()
     reader.onload = (event) => {
-      const safetensorsData = new Uint8Array(
-        event.target?.result as ArrayBuffer
-      )
-      const dataView = new DataView(safetensorsData.buffer)
-      let header_size = dataView.getUint32(0, true)
-      let offset = 8
-      let header = JSON.parse(
-        new TextDecoder().decode(
-          safetensorsData.slice(offset, offset + header_size)
+      try {
+        const safetensorsData = new Uint8Array(
+          event.target?.result as ArrayBuffer
         )
-      )
-      r(header.__metadata__)
+        const dataView = new DataView(safetensorsData.buffer)
+        const headerSize = dataView.getUint32(0, true)
+        const offset = 8
+        const header = JSON.parse(
+          new TextDecoder().decode(
+            safetensorsData.slice(offset, offset + headerSize)
+          )
+        )
+        r(header.__metadata__)
+      } catch {
+        r(undefined)
+      }
     }
-
-    var slice = file.slice(0, 1024 * 1024 * 4)
+    reader.onerror = () => r(undefined)
+    reader.onabort = () => r(undefined)
+    const slice = file.slice(0, 1024 * 1024 * 4)
     reader.readAsArrayBuffer(slice)
   })
 }

src/stores/assetsStore.test.ts

@@ -24,7 +24,9 @@ vi.mock('@/scripts/api', () => ({
 vi.mock('@/platform/assets/services/assetService', () => ({
   assetService: {
     getAssetsByTag: vi.fn(),
+    getAllAssetsByTag: vi.fn(),
     getAssetsForNodeType: vi.fn(),
+    invalidateInputAssetsIncludingPublic: vi.fn(),
     updateAsset: vi.fn(),
     addAssetTags: vi.fn(),
     removeAssetTags: vi.fn()
@@ -424,6 +426,93 @@ describe('assetsStore - Refactored (Option A)', () => {
     })
   })
 
+  describe('Deletion', () => {
+    it('should remove items by id from history', async () => {
+      const mockHistory = Array.from({ length: 5 }, (_, i) =>
+        createMockJobItem(i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(mockHistory)
+      await store.updateHistory()
+      expect(store.historyAssets).toHaveLength(5)
+
+      store.removeHistoryItems(['prompt_1', 'prompt_3'])
+
+      expect(store.historyAssets).toHaveLength(3)
+      const ids = store.historyAssets.map((a) => a.id)
+      expect(ids).not.toContain('prompt_1')
+      expect(ids).not.toContain('prompt_3')
+    })
+
+    it('should adjust pagination offset after deletion', async () => {
+      const mockHistory = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(mockHistory)
+      await store.updateHistory()
+
+      // Delete 3 items — offset shifts from 200 to 197 so the next page
+      // request lines up with the server's post-deletion cursor and we don't
+      // skip the rows that backfilled into the old page-1 boundary.
+      store.removeHistoryItems(['prompt_1', 'prompt_3', 'prompt_5'])
+      expect(store.historyAssets).toHaveLength(197)
+
+      const nextBatch = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(200 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(nextBatch)
+      await store.loadMoreHistory()
+
+      expect(api.getHistory).toHaveBeenLastCalledWith(200, { offset: 197 })
+    })
+
+    it('should compose deletion offset with drift on next loadMore', async () => {
+      // Initial page 1 (200 items: prompt_0 .. prompt_199)
+      const page1 = Array.from({ length: 200 }, (_, i) => createMockJobItem(i))
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page1)
+      await store.updateHistory()
+
+      // 3 net-new items merge in via a refresh — drift becomes 3.
+      const newJobs = Array.from({ length: 3 }, (_, i) =>
+        createMockJobItem(7000 + i)
+      )
+      const refreshedPage1 = [...newJobs, ...page1.slice(0, 197)]
+      vi.mocked(api.getHistory).mockResolvedValueOnce(refreshedPage1)
+      await store.updateHistory()
+
+      // Delete 2 loaded items — historyOffset should drop from 200 to 198.
+      store.removeHistoryItems(['prompt_10', 'prompt_20'])
+
+      // Next loadMore offset must compose deletion + drift:
+      //   adjustedOffset = (200 - 2) + 3 = 201
+      // If historyOffset is not decremented the request becomes 203 and the
+      // server rows at the new positions 201–202 are silently skipped.
+      const page2 = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(200 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page2)
+      await store.loadMoreHistory()
+
+      expect(api.getHistory).toHaveBeenLastCalledWith(200, { offset: 201 })
+    })
+
+    it('should allow re-inserting a removed item on next updateHistory', async () => {
+      const mockHistory = Array.from({ length: 3 }, (_, i) =>
+        createMockJobItem(i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(mockHistory)
+      await store.updateHistory()
+
+      store.removeHistoryItems(['prompt_1'])
+      expect(store.historyAssets).toHaveLength(2)
+
+      // Simulate the item reappearing from the server (e.g. delete failed)
+      vi.mocked(api.getHistory).mockResolvedValueOnce(mockHistory)
+      await store.updateHistory()
+
+      expect(store.historyAssets).toHaveLength(3)
+    })
+  })
+
   describe('Error Handling', () => {
     it('should preserve existing data when loadMore fails', async () => {
       // First successful load - full batch
@@ -540,6 +629,142 @@ describe('assetsStore - Refactored (Option A)', () => {
     })
   })
 
+  describe('Incremental Update', () => {
+    it('should preserve loaded items when updateHistory is called after pagination', async () => {
+      // Use indices 100-299 for page1 so there's room for a "newer" item
+      const page1 = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(100 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page1)
+      await store.updateHistory()
+
+      const page2 = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(300 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page2)
+      await store.loadMoreHistory()
+      expect(store.historyAssets).toHaveLength(400)
+
+      // Index 0 → Date.now() - 0ms, which is newer than index 100+
+      const newJob = createMockJobItem(0)
+      const refreshedPage1 = [newJob, ...page1.slice(0, 199)]
+      vi.mocked(api.getHistory).mockResolvedValueOnce(refreshedPage1)
+      await store.updateHistory()
+
+      expect(store.historyAssets).toHaveLength(401)
+      expect(store.historyAssets[0].id).toBe('prompt_0')
+    })
+
+    it('should not duplicate items when updateHistory fetches overlapping data', async () => {
+      const page1 = Array.from({ length: 200 }, (_, i) => createMockJobItem(i))
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page1)
+      await store.updateHistory()
+
+      vi.mocked(api.getHistory).mockResolvedValueOnce([...page1])
+      await store.updateHistory()
+
+      expect(store.historyAssets).toHaveLength(200)
+    })
+
+    it('should adjust offset for loadMore after new items are prepended', async () => {
+      const page1 = Array.from({ length: 200 }, (_, i) => createMockJobItem(i))
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page1)
+      await store.updateHistory()
+
+      const newJobs = Array.from({ length: 5 }, (_, i) =>
+        createMockJobItem(5000 + i)
+      )
+      const refreshedPage1 = [...newJobs, ...page1.slice(0, 195)]
+      vi.mocked(api.getHistory).mockResolvedValueOnce(refreshedPage1)
+      await store.updateHistory()
+
+      const page2 = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(200 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page2)
+      await store.loadMoreHistory()
+
+      expect(api.getHistory).toHaveBeenLastCalledWith(200, { offset: 205 })
+    })
+
+    it('should preserve drift counter when loadMore fails', async () => {
+      const page1 = Array.from({ length: 200 }, (_, i) => createMockJobItem(i))
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page1)
+      await store.updateHistory()
+
+      const newJobs = Array.from({ length: 3 }, (_, i) =>
+        createMockJobItem(6000 + i)
+      )
+      const refreshedPage1 = [...newJobs, ...page1.slice(0, 197)]
+      vi.mocked(api.getHistory).mockResolvedValueOnce(refreshedPage1)
+      await store.updateHistory()
+
+      // loadMore fails — drift counter should be preserved
+      vi.mocked(api.getHistory).mockRejectedValueOnce(new Error('fail'))
+      await store.loadMoreHistory()
+
+      // Retry loadMore — should still include the drift adjustment
+      const page2 = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(200 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page2)
+      await store.loadMoreHistory()
+
+      expect(api.getHistory).toHaveBeenLastCalledWith(200, { offset: 203 })
+    })
+
+    it('should re-enable pagination when history grows past one page', async () => {
+      // Initial load with fewer than BATCH_SIZE items — pagination exhausted
+      const smallPage = Array.from({ length: 50 }, (_, i) =>
+        createMockJobItem(i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(smallPage)
+      await store.updateHistory()
+      expect(store.hasMoreHistory).toBe(false)
+
+      // Many new jobs arrive — first page is now full (BATCH_SIZE items)
+      const fullPage = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(7000 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(fullPage)
+      await store.updateHistory()
+
+      expect(store.hasMoreHistory).toBe(true)
+    })
+
+    it('should not accumulate drift when pagination is exhausted', async () => {
+      const smallPage = Array.from({ length: 50 }, (_, i) =>
+        createMockJobItem(i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(smallPage)
+      await store.updateHistory()
+
+      // Subsequent update with a few new items, still under BATCH_SIZE
+      const newJobs = Array.from({ length: 3 }, (_, i) =>
+        createMockJobItem(8000 + i)
+      )
+      const refreshed = [...newJobs, ...smallPage.slice(0, 47)]
+      vi.mocked(api.getHistory).mockResolvedValueOnce(refreshed)
+      await store.updateHistory()
+
+      // Re-enable pagination with a full page
+      const fullPage = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(9000 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(fullPage)
+      await store.updateHistory()
+
+      // loadMore should use offset 200 (no drift accumulated while exhausted)
+      const page2 = Array.from({ length: 200 }, (_, i) =>
+        createMockJobItem(200 + i)
+      )
+      vi.mocked(api.getHistory).mockResolvedValueOnce(page2)
+      await store.loadMoreHistory()
+
+      expect(api.getHistory).toHaveBeenLastCalledWith(200, { offset: 200 })
+    })
+  })
+
   describe('jobDetailView Support', () => {
     it('should include outputCount and allOutputs in user_metadata', async () => {
       const mockHistory = Array.from({ length: 5 }, (_, i) =>
@@ -1259,6 +1484,9 @@ describe('assetsStore - Deletion State and Input Mapping', () => {
           false,
           { limit: 100 }
         )
+        expect(
+          assetService.invalidateInputAssetsIncludingPublic
+        ).toHaveBeenCalledOnce()
       } finally {
         mockIsCloud.value = false
       }

src/stores/assetsStore.ts

@@ -94,7 +94,7 @@ export const useAssetsStore = defineStore('assets', () => {
   // Track assets currently being deleted (for loading overlay)
   const deletingAssetIds = shallowReactive(new Set<string>())
 
-  const setAssetDeleting = (assetId: string, isDeleting: boolean) => {
+  function setAssetDeleting(assetId: string, isDeleting: boolean) {
     if (isDeleting) {
       deletingAssetIds.add(assetId)
     } else {
@@ -102,7 +102,7 @@ export const useAssetsStore = defineStore('assets', () => {
     }
   }
 
-  const isAssetDeleting = (assetId: string): boolean => {
+  function isAssetDeleting(assetId: string): boolean {
     return deletingAssetIds.has(assetId)
   }
 
@@ -110,6 +110,7 @@ export const useAssetsStore = defineStore('assets', () => {
   const historyOffset = ref(0)
   const hasMoreHistory = ref(true)
   const isLoadingMore = ref(false)
+  const prependedSinceLastLoad = ref(0)
 
   const allHistoryItems = ref<AssetItem[]>([])
 
@@ -123,7 +124,7 @@ export const useAssetsStore = defineStore('assets', () => {
     state: inputAssets,
     isLoading: inputLoading,
     error: inputError,
-    execute: updateInputs
+    execute: executeUpdateInputs
   } = useAsyncState(fetchInputFiles, [], {
     immediate: false,
     resetOnExecute: false,
@@ -132,68 +133,131 @@ export const useAssetsStore = defineStore('assets', () => {
     }
   })
 
-  /**
-   * Fetch history assets with pagination support
-   * @param loadMore - true for pagination (append), false for initial load (replace)
-   */
-  const fetchHistoryAssets = async (loadMore = false): Promise<AssetItem[]> => {
-    // Reset state for initial load
-    if (!loadMore) {
-      historyOffset.value = 0
-      hasMoreHistory.value = true
-      allHistoryItems.value = []
-      loadedIds.clear()
-    }
+  const updateInputs = async () => {
+    const result = await executeUpdateInputs()
+    assetService.invalidateInputAssetsIncludingPublic()
+    return result
+  }
 
-    // Fetch from server with offset
-    const history = await api.getHistory(BATCH_SIZE, {
-      offset: historyOffset.value
+  /**
+   * Insert an asset into the sorted list at the correct position (newest first).
+   * Skips duplicates already tracked in loadedIds.
+   * @returns true if the asset was inserted, false if it was a duplicate.
+   */
+  function insertAssetSorted(asset: AssetItem): boolean {
+    if (loadedIds.has(asset.id)) return false
+    loadedIds.add(asset.id)
+
+    const assetTime = new Date(asset.created_at ?? 0).getTime()
+    // Sort: newer first; ties broken by lexicographically larger id first
+    // so insertion order is stable across repeated merges.
+    const insertIndex = allHistoryItems.value.findIndex((item) => {
+      const itemTime = new Date(item.created_at ?? 0).getTime()
+      if (itemTime !== assetTime) return itemTime < assetTime
+      return item.id < asset.id
     })
 
-    // Convert JobListItems to AssetItems
-    const newAssets = mapHistoryToAssets(history)
-
-    if (loadMore) {
-      // Filter out duplicates and insert in sorted order
-      for (const asset of newAssets) {
-        if (loadedIds.has(asset.id)) {
-          continue // Skip duplicates
-        }
-        loadedIds.add(asset.id)
-
-        // Find insertion index to maintain sorted order (newest first)
-        const assetTime = new Date(asset.created_at ?? 0).getTime()
-        const insertIndex = allHistoryItems.value.findIndex(
-          (item) => new Date(item.created_at ?? 0).getTime() < assetTime
-        )
-
-        if (insertIndex === -1) {
-          // Asset is oldest, append to end
-          allHistoryItems.value.push(asset)
-        } else {
-          // Insert at the correct position
-          allHistoryItems.value.splice(insertIndex, 0, asset)
-        }
-      }
+    if (insertIndex === -1) {
+      allHistoryItems.value.push(asset)
     } else {
-      // Initial load: replace all
-      allHistoryItems.value = newAssets
-      newAssets.forEach((asset) => loadedIds.add(asset.id))
+      allHistoryItems.value.splice(insertIndex, 0, asset)
     }
+    return true
+  }
 
-    // Update pagination state
-    historyOffset.value += BATCH_SIZE
-    hasMoreHistory.value = history.length === BATCH_SIZE
+  /**
+   * Remove items from the local view (used after the server confirmed the
+   * delete). Decrements historyOffset by the count of removed loaded items so
+   * the canonical caller flow — `removeHistoryItems(ids)` then
+   * `await updateHistory()` then `loadMoreHistory()` — produces the correct
+   * server offset:
+   *
+   * After deletion, the refreshed first page that `updateHistory()` fetches
+   * gets backfilled with items that previously sat just past the page-1
+   * boundary. Those backfilled items legitimately count as drift. If we
+   * leave `historyOffset` untouched, `loadMoreHistory()` then computes
+   * `historyOffset + drift` which double-counts the deletion: it adds the
+   * backfilled items on top of the original cursor and skips that many
+   * unseen rows on the next page.
+   */
+  function removeHistoryItems(ids: string[]) {
+    const idSet = new Set(ids)
+    const removedCount = allHistoryItems.value.filter((item) =>
+      idSet.has(item.id)
+    ).length
+    allHistoryItems.value = allHistoryItems.value.filter(
+      (item) => !idSet.has(item.id)
+    )
+    ids.forEach((id) => loadedIds.delete(id))
+    historyOffset.value = Math.max(0, historyOffset.value - removedCount)
+    historyAssets.value = allHistoryItems.value
+  }
 
+  function trimToMaxItems() {
     if (allHistoryItems.value.length > MAX_HISTORY_ITEMS) {
-      const removed = allHistoryItems.value.slice(MAX_HISTORY_ITEMS)
-      allHistoryItems.value = allHistoryItems.value.slice(0, MAX_HISTORY_ITEMS)
-
-      // Clean up Set
+      const removed = allHistoryItems.value.splice(MAX_HISTORY_ITEMS)
       removed.forEach((item) => loadedIds.delete(item.id))
     }
+  }
 
-    return allHistoryItems.value
+  /**
+   * Fetch the first page of history. On initial load (empty state), replaces
+   * all items. On subsequent calls, incrementally merges new items without
+   * clearing existing pagination state — fixing the "disappearing assets" bug.
+   */
+  async function fetchHistoryIncremental(): Promise<void> {
+    const history = await api.getHistory(BATCH_SIZE, { offset: 0 })
+    const newAssets = mapHistoryToAssets(history)
+
+    if (allHistoryItems.value.length === 0) {
+      allHistoryItems.value = newAssets
+      newAssets.forEach((asset) => loadedIds.add(asset.id))
+      historyOffset.value = BATCH_SIZE
+      hasMoreHistory.value = history.length === BATCH_SIZE
+    } else {
+      let newCount = 0
+      for (const asset of newAssets) {
+        if (insertAssetSorted(asset)) newCount++
+      }
+      if (hasMoreHistory.value) {
+        prependedSinceLastLoad.value += newCount
+      } else if (history.length === BATCH_SIZE) {
+        hasMoreHistory.value = true
+        prependedSinceLastLoad.value = 0
+      }
+    }
+
+    trimToMaxItems()
+  }
+
+  /**
+   * Fetch the next page of history for infinite scroll pagination.
+   * Adjusts offset to account for items prepended since the last page load.
+   */
+  async function fetchHistoryNextPage(): Promise<void> {
+    const driftAtRequest = prependedSinceLastLoad.value
+    const adjustedOffset = historyOffset.value + driftAtRequest
+
+    const history = await api.getHistory(BATCH_SIZE, {
+      offset: adjustedOffset
+    })
+    const newAssets = mapHistoryToAssets(history)
+
+    // Subtract only the drift captured at request time so concurrent
+    // updateHistory() increments during the in-flight fetch are preserved.
+    prependedSinceLastLoad.value = Math.max(
+      0,
+      prependedSinceLastLoad.value - driftAtRequest
+    )
+
+    for (const asset of newAssets) {
+      insertAssetSorted(asset)
+    }
+
+    historyOffset.value = adjustedOffset + BATCH_SIZE
+    hasMoreHistory.value = history.length === BATCH_SIZE
+
+    trimToMaxItems()
   }
 
   const historyAssets = ref<AssetItem[]>([])
@@ -201,18 +265,19 @@ export const useAssetsStore = defineStore('assets', () => {
   const historyError = ref<unknown>(null)
 
   /**
-   * Initial load of history assets
+   * Load or refresh history assets. On first call, performs a full load.
+   * On subsequent calls (e.g. after job completion), incrementally merges
+   * new items without clearing existing pagination state.
    */
-  const updateHistory = async () => {
+  async function updateHistory() {
     historyLoading.value = true
     historyError.value = null
     try {
-      await fetchHistoryAssets(false)
+      await fetchHistoryIncremental()
       historyAssets.value = allHistoryItems.value
     } catch (err) {
       console.error('Error fetching history assets:', err)
       historyError.value = err
-      // Keep existing data when error occurs
       if (!historyAssets.value.length) {
         historyAssets.value = []
       }
@@ -224,20 +289,18 @@ export const useAssetsStore = defineStore('assets', () => {
   /**
    * Load more history items (infinite scroll)
    */
-  const loadMoreHistory = async () => {
-    // Guard: prevent concurrent loads and check if more items available
+  async function loadMoreHistory() {
     if (!hasMoreHistory.value || isLoadingMore.value) return
 
     isLoadingMore.value = true
     historyError.value = null
 
     try {
-      await fetchHistoryAssets(true)
+      await fetchHistoryNextPage()
       historyAssets.value = allHistoryItems.value
     } catch (err) {
       console.error('Error loading more history:', err)
       historyError.value = err
-      // Keep existing data when error occurs (consistent with updateHistory)
       if (!historyAssets.value.length) {
         historyAssets.value = []
       }
@@ -741,6 +804,7 @@ export const useAssetsStore = defineStore('assets', () => {
     updateInputs,
     updateHistory,
     loadMoreHistory,
+    removeHistoryItems,
 
     // Input mapping helpers
     inputAssetsByFilename,