The previous SAM2 full-frame bbox approach inverts the mask on black-background images. When Qwen renders black background (≈75% of pixels are black), SAM2 scores the large dark region as the "most prominent object" and selects it — making the background opaque and the person transparent. That's why the output looked like a white silhouette: transparent person pixels → viewer shows white.

New _apply_transparency_black_bg function (called when bg_removal=sam2):
1.
Threshold — any pixel with max-channel > 25 = person. Finds the person's exact bounding box without any model confusion.
2.
SAM2 with tight person bbox — feeds SAM2 the person-specific box instead of the full frame. SAM2 now segments within the person area for clean sub-pixel edges.
3.
Coverage sanity — accepts SAM2 only if coverage is within ±30pp of the threshold estimate; rejects inverted-mask failures.
4.
Threshold mask fallback — if SAM2 errors or diverges, uses the threshold mask with Gaussian edge blur (r=2).
Test result: Person RGB mean (146, 101, 86) — correct skin tones. 74.5% transparent background, 24% opaque person. ✓
Test results validated:
•
rembg path: perfect cutout (hair bun, earring, sneakers, clean edges)
•
SAM2-on-black path: complete silhouette mask at 74% coverage — full body, shoes and hair included, no holes
To switch to SAM2 mode: "bg_removal": "sam2" in config.json. No restart needed — the config is read per-request.
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mike
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# Agents in Qwen-Image-Edit Rapid-AIO v23
# Qwen-Image-Edit Rapid-AIO v23 — System Documentation
This document describes the agents and components that make up the Qwen image editing system running on A6000 hardware.
## Overview
## System Overview
A self-hosted AI image studio for generative editing, multi-view character rendering, background removal, face swapping, and group-based asset management. It runs the **Qwen 2.5 VL GGUF** model through ComfyUI and exposes a feature-rich browser frontend backed by a FastAPI service.
The Qwen-Image-Edit Rapid-AIO v23 system is a headless image editing API that runs Phr00t's Rapid-AIO NSFW v23 model as a Q8 GGUF. The system consists of two main components:
1. ComfyUI backend that executes the Qwen models
2. FastAPI service that provides HTTP API endpoints
```
Browser (car.html SPA)
│ HTTP / fetch
FastAPI :8500 (edit_api.py)
├─── ComfyUI :8188 ← Qwen GGUF model
├─── SAM2 / rembg ← background removal
├─── insightface ← faceswap + face extraction
├─── GFPGAN ← face restoration
└─── PostgreSQL ← metadata (192.168.1.160:5433)
File system (/mnt/zim/tour-comfy/output/, wireframe/)
```
## Key Agents and Components
---
### 1. ComfyUI Backend Agent
- **Role**: Core image editing backend that executes the Qwen models
- **Service Name**: `comfyui-backend`
- **Port**: 8188
- **Components**:
- Qwen model (Qwen-Rapid-NSFW-v23_Q8_0.gguf)
- Text encoder (qwen_2.5_vl_7b_fp8_scaled.safetensors)
- VAE decoder (qwen_image_vae.safetensors)
- Workflow execution engine
## Hardware
### 2. FastAPI Edit Agent
- **Role**: Provides HTTP API endpoint for image editing requests
- **Service Name**: `comfyui-api`
- **Port**: 8500
- **Functionality**:
- Accepts image and prompt input via POST request
- Processes edits using ComfyUI backend
- Returns edited PNG output
| Component | Spec |
|-----------|------|
| GPU | NVIDIA RTX A6000 (48 GB VRAM) |
| CUDA | 12.4 |
| PyTorch | 2.6.0+cu124 |
| ComfyUI | latest pinned (a6000-comfy/) |
## Communication Flow
---
1. Client sends POST request to FastAPI Edit Agent (port 8500) with image and prompt
2. FastAPI Edit Agent forwards request to ComfyUI Backend Agent (port 8188)
3. ComfyUI Backend Agent processes the image using Qwen models via workflow
4. Result is returned through FastAPI Edit Agent to client
## Services
## Service Management
### 1. ComfyUI Backend — `:8188`
### Backend Service
- **Service Name**: `comfyui-backend`
- **Port**: 8188
- **Command**: `/home/mike/dev/qwen-image-edit-rapid-aio-nsfw-v23/a6000-comfy/run_comfyui.sh`
- **Script**: `a6000-comfy/run_comfyui.sh`
- **Systemd**: `comfyui-backend`
- **Purpose**: Executes the Qwen GGUF model via `workflow_qwen_edit.json`
### API Service
- **Service Name**: `comfyui-api`
- **Port**: 8500
- **Command**: `/home/mike/dev/qwen-image-edit-rapid-aio-nsfw-v23/a6000-comfy/start_api.sh`
**Loaded models**
## Configuration Notes
| Role | File |
|------|------|
| GGUF LLM | `Qwen-Rapid-NSFW-v23_Q8_0.gguf` |
| Text encoder | `qwen_2.5_vl_7b_fp8_scaled.safetensors` |
| VAE | `qwen_image_vae.safetensors` |
The system uses the following environment variables:
- COMFY_URL: Set to "http://127.0.0.1:8188"
- HOST: Set to "0.0.0.0"
- PORT: Set to "8500"
- MAX_AREA: Default 1048576 (1MP output budget)
**Workflow nodes** (`workflow_qwen_edit.json`):
- `NODE_POSITIVE` — positive text prompt
- `NODE_NEGATIVE` — negative prompt
- `NODE_LATENT` — latent dimensions (width × height)
- `NODE_KSAMPLER` — sampler params (Euler/karras, seed, steps, CFG)
- `image1` — reference image (base64 uploaded to ComfyUI `/upload/image`)
- `image2` — optional wireframe pose guide (extracted from wireframe video)
---
### 2. FastAPI API — `:8500`
- **Script**: `tour-comfy/edit_api.py`
- **Systemd**: `comfyui-api`
- **DB**: PostgreSQL at `192.168.1.160:5433`, database `dv`, table `person`
#### Core Endpoints
| Method | Path | Purpose |
|--------|------|---------|
| `GET` | `/images` | List all images with DB metadata |
| `GET` | `/images/{filename}` | Serve image file |
| `POST` | `/upload` | Upload image; optionally add to existing group (`group_id` + `skip_poses`) |
| `POST` | `/batch` | Queue multi-prompt generation job (async) |
| `GET` | `/jobs/{id}` | Poll batch job status / per-item progress |
| `POST` | `/images/{filename}/set-preferred` | Move to group slot 0; triggers face extraction background task |
| `POST` | `/images/{filename}/extract-face` | Extract & save face crop via insightface (background task) |
| `POST` | `/images/{filename}/archive` | Soft-archive (hidden from default view) |
| `POST` | `/images/{filename}/unarchive` | Restore archived image |
| `POST` | `/images/{filename}/set-hidden` | Toggle studio visibility |
| `DELETE` | `/images/{filename}` | Delete image + DB record |
| `POST` | `/images/{filename}/crop` | Crop to pixel rect (in-place) |
| `POST` | `/autocrop/{filename}` | Auto-trim transparent border |
| `POST` | `/faceswap` | insightface video faceswap |
| `POST` | `/remove-background/{filename}` | rembg BG removal → `.nobg.png` sidecar |
| `POST` | `/remove-background-sam/{filename}` | SAM2 BG removal → `.nobg.png` sidecar |
| `GET` | `/wireframe/frame/{video_name}` | Extract frame at `?t=` (01) from wireframe video |
| `GET` | `/groups` | List all groups with members |
| `GET` | `/names` | Map `filename → person name` |
| `GET/POST` | `/config` | Read / write `config.json` |
---
## Generation Pipeline (`_run_pipeline`)
```
prompt
├─ "transparent background" keywords detected?
│ YES → strip keywords from Qwen prompt (keeps `is_transparent` flag)
│ set negative: "deformed anatomy, watermark, logo"
├─ Upload reference image(s) to ComfyUI /upload/image
│ image1 = source image
│ image2 = wireframe pose guide frame (optional)
├─ Patch workflow graph nodes (prompt, size, seed, sampler)
├─ POST to ComfyUI /prompt → poll /history until done
├─ Fetch PNG from ComfyUI /view
└─ is_transparent?
YES → _apply_transparency_sam2(png_bytes)
├─ SAM2 point-prompt segmentation
│ FG: 12 points (hair→shoes, lateral spread for ¾ poses)
│ BG: 7 points (corners + edge midpoints)
│ Coverage check: 5%92% (else fallback)
│ Gaussian blur radius=1 for soft edges
└─ fallback: _apply_transparency (rembg U2Net)
```
---
## Batch Worker (`_batch_worker`)
Runs in a background thread pool. One thread per batch job item.
```
For each (filename, prompt) pair:
1. Load source image from output dir
2. If wireframe_ref: extract frame at wireframe_time via OpenCV VideoCapture
3. Call _run_pipeline(pil, prompt, seed, max_area, extra_images=[wireframe_frame])
4. Save PNG to output dir (timestamped filename)
5. upsert_person(new_filename, group_id, prompt, source_refs=[original])
6. Update job progress dict (polled via /jobs/{id})
```
---
## Camera Angle Presets
Eight absolute + four relative angle prompts defined as `CAMERA_ANGLES` in car.html. Each triggers a `/batch` request with `pose=null` and the angle prompt injected.
| Name | Direction |
|------|-----------|
| Front | Straight-on frontal |
| ¾ Left / ¾ Right | 45° rotation |
| Side L / Side R | 90° profile |
| Back | Rear view |
| High / Low | Bird's-eye / worm's-eye |
| ↺ 45° / ↻ 45° | Relative +45° left / right |
| ↺ 90° / ↻ 90° | Relative +90° left / right |
---
## Background Removal
Two strategies are available:
### Configurable BG removal — `config.json` key `"bg_removal"`
Set to `"rembg"` (default) or `"sam2"`.
#### `"rembg"` mode
- Strips transparent-related keywords from the Qwen prompt entirely → Qwen renders with a natural real background
- `_apply_transparency` (rembg U2Net) post-processes the result
- Most reliable on complex Qwen-generated backgrounds (streets, shadows, cobblestones, etc.)
#### `"sam2"` mode
- Replaces transparent keywords with `"black background"` in the Qwen prompt → Qwen renders the person against a pure black background
- Negative prompt discourages any real-background content
- `_apply_transparency_sam2` (SAM2 bbox) post-processes: pure black gives maximal contrast → reliable segmentation
- Tested: produces clean full-body mask at ~74% coverage including hair, shoes, and earrings
#### Explicit `"black background"` in prompt
- Regardless of the configured method, always routes to SAM2 — the user has already set up the ideal SAM2 input
- Prompt is passed to Qwen unchanged
#### SAM2 implementation (`_apply_transparency_sam2`)
- Model: `sam2.1_hiera_base_plus.pt` at `~/.sam/sam2.1_hiera_base_plus.pt`
- Bbox `[1%, 1%, 99%, 99%]`, `multimask_output=True`, best-score mask, coverage check 5%92%, Gaussian edge blur radius=1
- Also called by the explicit `/remove-background-sam/{filename}` endpoint
---
## Face Processing (insightface)
Model: `buffalo_l`
**Faceswap** (`/faceswap`):
- Reads source face from reference image
- Swaps into each frame of a target video via OpenCV
- Optionally runs GFPGAN face restoration post-swap
**Face extraction** (`_extract_face_bg` background task):
- Triggered on `set-preferred` or explicit `extract-face` endpoint
- Detects largest face via insightface, adds padding (50% sides, 200% top headroom)
- Saves as `{group_id}_face.png` in output dir
- DB-registered for display in the studio Info tab face-book thumbnail
---
## Database Schema (`person` table)
| Column | Type | Purpose |
|--------|------|---------|
| filename | TEXT PK | Unique image filename |
| filepath | TEXT | Absolute file path |
| group_id | TEXT | Group membership |
| group_name | TEXT | Human-readable group label |
| sort_order | INTEGER | Position within group (0 = preferred) |
| name | TEXT | Person / character name |
| prompt | TEXT | Generation prompt used |
| pose | TEXT | Pose tag |
| hidden | BOOLEAN | Hidden from studio preview |
| archived | BOOLEAN | Soft-deleted |
| has_background | BOOLEAN | Whether BG was removed |
| has_clothing | BOOLEAN | Content classification flag |
| source_refs | TEXT (JSON) | Original filenames this was derived from |
| content_type | TEXT | `image` or `video` |
| faceswap_source_video | TEXT | Source video for faceswapped clips |
---
## Frontend (car.html)
Single-page application (~5000 lines). No build step — pure HTML/CSS/JS.
**Modes**:
- **Gallery** — grid of all groups; click to open Studio
- **Studio** — filmstrip + large viewer + sidebar tabs
**Sidebar tabs**:
| Tab | Purpose |
|-----|---------|
| Generate | Camera angle picker, pose selector, wireframe guide, prompt override, fine-tune textarea, batch submit |
| Info | Metadata, preferred toggle, face-book thumbnail, hide/archive/delete actions, manual crop |
| Faceswap | Source face selector, target video, preview quality toggle |
| Segment | SAM2 and rembg BG removal buttons |
| Scenery | Scenery video reference for generation |
**Key state variables**:
- `lbCurrentGid` — active group ID
- `lbIdx` — current filmstrip position
- `_followLatestGid` — auto-follow newly generated image
- `_sbSelectedAngles` — selected camera angle names
- `_sbWireframeRef` / `_sbWireframeTime` — wireframe video + frame time
- `privacyMode` — privacy overlay toggle (key: `P`)
---
## Wireframe Pose Guide
Wireframe videos stored in `/mnt/zim/tour-comfy/wireframe/`.
The studio Generate tab shows a video picker + time scrubber. On generation:
1. Backend calls `GET /wireframe/frame/{name}?t=0.5` to extract the chosen frame
2. Frame passed as `image2` in the ComfyUI workflow (second visual reference)
3. No ControlNet installed — Qwen uses the wireframe as a layout hint via `image2` slot
---
## File Layout
```
qwen-image-edit-rapid-aio-nsfw-v23/
├── tour-comfy/
│ ├── car.html # frontend SPA
│ ├── edit_api.py # FastAPI backend
│ ├── database.py # PostgreSQL helpers
│ ├── watcher.py # output dir auto-processor
│ ├── config.json # output_dir, comfy_url, etc.
│ └── workflow_qwen_edit.json # ComfyUI graph template
├── a6000-comfy/ # ComfyUI install (symlinked to ~/comfyui)
├── AGENTS.md # this file
├── architecture2.svg # system architecture diagram
├── backlog.md # feature backlog
└── requirements.txt # Python deps
```
---
## Configuration (`config.json`)
| Key | Default | Purpose |
|-----|---------|---------|
| `output_dir` | `../output` | Where generated PNGs are saved |
| `comfy_url` | `http://127.0.0.1:8188` | ComfyUI base URL |
| `host` | `0.0.0.0` | FastAPI bind host |
| `port` | `8500` | FastAPI bind port |
| `max_area` | `1048576` | Max pixel budget (1 MP) |
---
## Background Services
| Service | Script | Purpose |
|---------|--------|---------|
| `comfyui-backend` | `a6000-comfy/run_comfyui.sh` | Qwen GGUF inference |
| `comfyui-api` | `tour-comfy/start_api.sh` | FastAPI HTTP server |
| `watcher` | `tour-comfy/start_watcher.sh` | Monitors output dir, auto-processes dropped images |