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8-cut/docs/plans/2026-04-19-comfyui-node-pack-design.md
Ethanfel 0db412baf4 docs: add ComfyUI-8cut node pack design
Tensor-free video scanning workflow for remote browser access.
5 nodes (LoadVideo, AudioScan, VideoReview, TrainModel, ExportClips)
with custom types passing file paths instead of image tensors.
Reuses entire core/ package unchanged.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-19 19:41:17 +02:00

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# ComfyUI-8cut Node Pack Design
Date: 2026-04-19
## Goal
Port 8-cut's video scanning, training, review, and export workflow to a ComfyUI node pack. The primary motivation is **remote access** — ComfyUI's web UI allows browser-based operation over the network, and HTML5 `<video>` handles streaming compression natively. No tensor-based image pipeline; videos stay as file paths throughout.
## Architecture
### Approach
Monolithic Review Node + simple pipeline nodes. One central **VideoReview** node embeds the full interactive player/timeline/region table as a large DOM widget. Other nodes (Scan, Train, Export) are headless pipeline nodes that pass lightweight metadata.
### Core reuse
The entire `8-cut/core/` package is Qt-free and reusable as-is:
- `core/audio_scan.py``scan_video()`, `train_classifier()`, `load_classifier()`
- `core/db.py``ProcessedDB` (SQLite, all scan/training/export persistence)
- `core/ffmpeg.py``build_ffmpeg_command()` (clip export)
- `core/tracking.py` — YOLO-based subject tracking
- `core/paths.py` — path helpers, `format_time()`
No porting required — these are imported directly.
---
## Node Pack Structure
```
ComfyUI-8cut/
__init__.py # NODE_CLASS_MAPPINGS, WEB_DIRECTORY
core/ # symlink or copy of 8-cut/core/
data/
8cut.db # separate SQLite DB (can copy from ~/.8cut.db)
models/ # trained classifiers (.joblib)
nodes/
load_video.py
audio_scan.py
video_review.py
train_model.py
export_clips.py
server_routes.py # custom API routes
web/
js/
video_review.js # timeline + player + scan panel widget
```
---
## Custom Types
No tensors anywhere in the pipeline. All data flows as lightweight metadata:
| Type | Python value | Purpose |
|------|-------------|---------|
| `VIDEO_PATH` | `str` (absolute path) | Video file reference |
| `SCAN_REGIONS` | `list[dict]` with start/end/score/model/disabled | Scan output / review edits |
| `SCAN_MODEL` | `str` (path to .joblib) | Trained classifier |
---
## Nodes
### LoadVideo
| | |
|---|---|
| **Input** | `video_path` (STRING, file browser), `profile` (STRING combo from DB profiles) |
| **Output** | `VIDEO_PATH`, `filename` (STRING) |
| **Logic** | Validates path exists, returns it. Populates profile combo via API route. |
### AudioScan
| | |
|---|---|
| **Input** | `VIDEO_PATH`, `SCAN_MODEL`, `threshold` (FLOAT 0-1), `hop` (FLOAT) |
| **Output** | `SCAN_REGIONS` |
| **Logic** | Calls `core.audio_scan.scan_video()` directly. Progress via `PromptServer.send_sync("progress", ...)`. |
### VideoReview (interactive, blocking)
| | |
|---|---|
| **Input** | `VIDEO_PATH`, `SCAN_REGIONS` (optional) |
| **Output** | `SCAN_REGIONS` (edited) |
| **OUTPUT_NODE** | `True` |
| **Logic** | Execution pauses here. User interacts via the widget. Clicks "Continue" to pass edited regions downstream. |
The widget layout:
```
+-------------------------------------+
| [video player (HTML5 <video>)] |
| +- timeline with scan regions ----+|
| | cursor + region drag/resize ||
| +---------------------------------+|
| +- model tabs [EAT_LARGE][HuBERT]+|
| | Time | End | Score ||
| | 1:23 | 1:31 | 0.92 ||
| | 3:45 | 3:53 | 0.87 ||
| | [Add Negative] [Export] [Continue]|
| +---------------------------------+|
+-------------------------------------+
```
Widget size: ~640x500px minimum, resizable via LiteGraph.
**Blocking mechanism**: The node's `run()` method blocks on a server-side event/queue. The frontend signals completion via `POST /8cut/review_done/{node_id}`, which unblocks `run()` and returns the edited `SCAN_REGIONS`.
### TrainModel
| | |
|---|---|
| **Input** | `profile` (STRING combo), `positive_folder` (STRING combo), `negative_folder` (STRING combo, optional), `embed_model` (STRING combo from `_EMBED_MODELS`), `use_hard_negatives` (BOOL) |
| **Output** | `SCAN_MODEL` |
| **Logic** | Queries `db.get_training_data()` to assemble `video_infos`, calls `core.audio_scan.train_classifier()`. Saves to `models/{profile}_{embed_model}.joblib` with version rotation. Progress via ComfyUI progress bar. |
### ExportClips
| | |
|---|---|
| **Input** | `VIDEO_PATH`, `SCAN_REGIONS`, `output_folder` (STRING), `short_side` (INT), `format` (combo MP4/WEBM), `spread` (FLOAT), `clip_count` (INT), `fuse_gap` (FLOAT) |
| **Output** | exported file paths (list) |
| **Logic** | Region fusion via `_build_export_spans()`, then `core.ffmpeg.build_ffmpeg_command()` per clip. Records each clip in DB via `db.add()`. |
### Typical workflow
```
[LoadVideo] --> [AudioScan] --> [VideoReview] --> [ExportClips]
^
[TrainModel]
```
### Training loop (hard negatives round-trip)
1. Scan with existing model -> regions in VideoReview
2. Review -> mark false positives as negatives (DB)
3. Train -> new model uses hard negatives
4. Rescan -> better results
5. Repeat
---
## API Routes
### Video serving
| Route | Method | Purpose |
|-------|--------|---------|
| `/8cut/video` | GET | Serve raw video file via `web.FileResponse`. Query param: `path`. Browser decodes mp4/h264 natively — key for remote streaming. |
| `/8cut/video_transcode` | GET | Fallback: transcode to webm on-the-fly via ffmpeg `StreamResponse` for browser-incompatible formats (some MKV, odd codecs). |
### Region editing (from VideoReview widget)
| Route | Method | Purpose |
|-------|--------|---------|
| `/8cut/toggle_region` | POST | `toggle_scan_result_disabled()` |
| `/8cut/resize_region` | POST | `update_scan_result()` |
| `/8cut/delete_region` | POST | `delete_scan_result()` |
| `/8cut/add_negatives` | POST | `add_hard_negatives()` |
| `/8cut/scan_versions` | GET | `get_scan_versions()` |
| `/8cut/review_done/{node_id}` | POST | Unblock the VideoReview node's `run()`, pass final regions |
### Data queries (for combo widget population)
| Route | Method | Purpose |
|-------|--------|---------|
| `/8cut/profiles` | GET | `db.get_profiles()` |
| `/8cut/export_folders` | GET | `db.get_export_folders()` |
| `/8cut/models` | GET | List available `.joblib` models |
---
## Frontend JS Widget (`web/js/video_review.js`)
Registered via `app.registerExtension()`. Hooks into the VideoReview node's `onNodeCreated` and `onExecuted` callbacks.
### Components
1. **Video player** — HTML5 `<video>` element, src pointed at `/8cut/video?path=...`
2. **Timeline**`<canvas>` overlay below the video. Renders:
- Scan region rectangles (color-coded by score, red for negatives, gray for disabled)
- Cursor line (click to seek)
- Drag handles on region edges (resize)
- Waveform (optional, fetched via separate route)
3. **Region table** — HTML table with model tabs. Click row to seek. Columns: Time, End, Score.
4. **Action buttons** — Add Negative, Export, Continue
5. **Version combo** — dropdown to switch scan history versions
### Interaction flow
- Widget activates when `onExecuted` fires with scan regions
- User clicks/drags timeline, edits regions, marks negatives
- Each edit hits an API route (immediate DB persistence)
- "Continue" sends `POST /8cut/review_done/{node_id}` with final region state
- Node's `run()` unblocks, passes `SCAN_REGIONS` downstream
---
## DB
Separate SQLite DB at `ComfyUI-8cut/data/8cut.db`. Uses the existing `ProcessedDB` class unchanged — same schema, same migration code. Users can copy their existing `~/.8cut.db` to carry over scan history, training data, and hard negatives.
---
## Dependencies
Same as 8-cut's `requirements.txt` minus PyQt6/python-mpv:
- `torch`, `torchaudio`, `torchvision` (from CUDA index)
- `transformers>=4.30,<5.0`, `timm>=0.9`
- `librosa`, `scikit-learn`, `joblib`, `soundfile`, `numpy`
- `ultralytics` (YOLO tracking)
ComfyUI already provides torch. The node pack's install script just needs the audio/ML extras.
---
## Implementation Priority
1. **Node pack skeleton** — structure, `__init__.py`, custom types, API routes for video serving
2. **LoadVideo + AudioScan** — headless nodes, no widget needed yet
3. **VideoReview widget (minimal)** — video player + static region display + Continue button
4. **VideoReview interactivity** — timeline click/drag, region editing, negative marking
5. **TrainModel + ExportClips** — complete the pipeline
6. **Polish** — version history, waveform overlay, transcode fallback