mirror of
https://github.com/Comfy-Org/ComfyUI_frontend.git
synced 2026-04-19 22:09:37 +00:00
## What Adds a 245-node workflow asset and two `@perf` tests to establish a baseline for large-graph performance regressions (Tier 6 in the performance backlog). ## Why Backlog item N5: we need CI regression detection for compositor layer management, GPU texture count, and transform pane cost at 245+ nodes. This is PR1 of 2 — establishes baseline metrics on main. Future optimization PRs will show improvement deltas against this baseline. ## Tests Added - **`large graph idle rendering`** — 120 frames idle with 245 nodes, measures style recalcs, layouts, task duration, heap delta - **`large graph pan interaction`** — middle-click pan across 245 nodes, stresses compositor layer management and transform recalculation ## Workflow Asset `browser_tests/assets/large-graph-workflow.json` — 245 nodes (49 pipelines of CheckpointLoader → 2× CLIPTextEncode → KSampler + EmptyLatentImage), 294 links. Minimal structure focused on node count. ## Verification - [x] `pnpm typecheck:browser` passes - [x] `pnpm lint` passes (eslint on changed file) - [x] All link references in JSON validated programmatically ┆Issue is synchronized with this [Notion page](https://www.notion.so/PR-9940-test-add-large-graph-perf-test-with-245-node-workflow-backlog-N5-3246d73d365081f6b5d8ddb9a85e6ad0) by [Unito](https://www.unito.io) --------- Co-authored-by: GitHub Action <action@github.com>
4877 lines
133 KiB
JSON
4877 lines
133 KiB
JSON
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"properties": { "Node name for S&R": "CheckpointLoaderSimple" },
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{ "name": "positive", "type": "CONDITIONING", "link": 10 },
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{ "name": "negative", "type": "CONDITIONING", "link": 11 },
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{ "name": "latent_image", "type": "LATENT", "link": 12 }
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{ "name": "LATENT", "type": "LATENT", "links": [], "slot_index": 0 }
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{ "name": "MODEL", "type": "MODEL", "links": [15], "slot_index": 0 },
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{ "name": "VAE", "type": "VAE", "links": [], "slot_index": 2 }
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{ "name": "negative", "type": "CONDITIONING", "link": 17 },
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{ "name": "latent_image", "type": "LATENT", "link": 18 }
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],
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{ "name": "LATENT", "type": "LATENT", "links": [], "slot_index": 0 }
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],
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{ "name": "LATENT", "type": "LATENT", "links": [18], "slot_index": 0 }
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{ "name": "MODEL", "type": "MODEL", "links": [21], "slot_index": 0 },
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{ "name": "CLIP", "type": "CLIP", "links": [19, 20], "slot_index": 1 },
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{ "name": "VAE", "type": "VAE", "links": [], "slot_index": 2 }
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}
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],
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}
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{ "name": "positive", "type": "CONDITIONING", "link": 22 },
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{ "name": "negative", "type": "CONDITIONING", "link": 23 },
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{ "name": "latent_image", "type": "LATENT", "link": 24 }
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{ "name": "LATENT", "type": "LATENT", "links": [], "slot_index": 0 }
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],
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"properties": { "Node name for S&R": "KSampler" },
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{ "name": "LATENT", "type": "LATENT", "links": [24], "slot_index": 0 }
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],
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"properties": { "Node name for S&R": "EmptyLatentImage" },
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{ "name": "MODEL", "type": "MODEL", "links": [27], "slot_index": 0 },
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{ "name": "CLIP", "type": "CLIP", "links": [25, 26], "slot_index": 1 },
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{ "name": "VAE", "type": "VAE", "links": [], "slot_index": 2 }
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],
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"properties": { "Node name for S&R": "CheckpointLoaderSimple" },
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"widgets_values": ["v1-5-pruned-emaonly.safetensors"]
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{
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{
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],
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"properties": { "Node name for S&R": "CLIPTextEncode" },
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{
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"name": "CONDITIONING",
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],
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"properties": { "Node name for S&R": "CLIPTextEncode" },
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"mode": 0,
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{ "name": "model", "type": "MODEL", "link": 27 },
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{ "name": "positive", "type": "CONDITIONING", "link": 28 },
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{ "name": "negative", "type": "CONDITIONING", "link": 29 },
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{ "name": "latent_image", "type": "LATENT", "link": 30 }
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],
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"outputs": [
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{ "name": "LATENT", "type": "LATENT", "links": [], "slot_index": 0 }
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],
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"properties": { "Node name for S&R": "KSampler" },
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{ "name": "LATENT", "type": "LATENT", "links": [30], "slot_index": 0 }
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{ "name": "CLIP", "type": "CLIP", "links": [31, 32], "slot_index": 1 },
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{ "name": "VAE", "type": "VAE", "links": [], "slot_index": 2 }
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"config": {},
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"extra": { "ds": { "scale": 0.5, "offset": [0, 0] } },
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"version": 0.4
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}
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