Files
microdao-daarion/services/comfy-agent/README.md
Apple c41c68dc08 feat: Add Comfy Agent service for NODE3 image/video generation
- Create comfy-agent service with FastAPI + NATS integration
- ComfyUI client with HTTP/WebSocket support
- REST API: /generate/image, /generate/video, /status, /result
- NATS subjects: agent.invoke.comfy, comfy.request.*
- Async job queue with progress tracking
- Docker compose configuration for NODE3
- Update PROJECT-MASTER-INDEX.md with NODE2/NODE3 docs

Co-Authored-By: Warp <agent@warp.dev>
2026-02-10 04:13:49 -08:00

216 lines
4.7 KiB
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# Comfy Agent Service
**Image & Video Generation Service for NODE3**
## Overview
Comfy Agent is a specialized service that interfaces with ComfyUI for AI-powered image and video generation. It provides both REST API and NATS messaging interfaces, enabling other agents in the DAARION ecosystem to request generation tasks.
## Architecture
```
NODE1 Agents → NATS → Comfy Agent (NODE3) → ComfyUI (port 8188)
→ LTX-2 Models (293 GB)
```
## Features
- **REST API**: Synchronous HTTP endpoints for generation requests
- **NATS Integration**: Async message-based communication with other agents
- **Job Queue**: Handles concurrent generation requests with configurable concurrency
- **Progress Tracking**: Real-time progress updates via WebSocket monitoring
- **Result Storage**: File-based storage with URL-based result retrieval
## API Endpoints
### POST /generate/image
Generate an image from text prompt.
**Request:**
```json
{
"prompt": "a futuristic city of gifts, ultra-detailed, cinematic",
"negative_prompt": "blurry, low quality",
"width": 1024,
"height": 1024,
"steps": 28,
"seed": 12345
}
```
**Response:**
```json
{
"job_id": "job_abc123...",
"type": "text-to-image",
"status": "queued",
"progress": 0.0
}
```
### POST /generate/video
Generate a video from text prompt using LTX-2.
**Request:**
```json
{
"prompt": "a cat walking on the moon, cinematic",
"seconds": 4,
"fps": 24,
"steps": 30
}
```
### GET /status/{job_id}
Check the status of a generation job.
**Response:**
```json
{
"job_id": "job_abc123...",
"type": "text-to-image",
"status": "succeeded",
"progress": 1.0,
"result_url": "http://NODE3_IP:8880/files/job_abc123.../output.png"
}
```
### GET /result/{job_id}
Retrieve the final result (same as status).
### GET /healthz
Health check endpoint.
## NATS Integration
### Subscribed Topics
- `agent.invoke.comfy` - Main invocation channel from router
- `comfy.request.image` - Direct image generation requests
- `comfy.request.video` - Direct video generation requests
### Message Format
**Request:**
```json
{
"type": "text-to-image",
"workflow": {
"1": {"class_type": "CLIPTextEncode", ...},
"2": {"class_type": "CheckpointLoaderSimple", ...}
}
}
```
**Response:**
```json
{
"job_id": "job_abc123..."
}
```
## Configuration
Environment variables:
- `COMFYUI_HTTP` - ComfyUI HTTP endpoint (default: `http://127.0.0.1:8188`)
- `COMFYUI_WS` - ComfyUI WebSocket endpoint (default: `ws://127.0.0.1:8188/ws`)
- `NATS_URL` - NATS server URL (default: `nats://144.76.224.179:4222`)
- `STORAGE_PATH` - Path for result storage (default: `/data/comfy-results`)
- `PUBLIC_BASE_URL` - Public URL for accessing results (default: `http://212.8.58.133:8880/files`)
- `MAX_CONCURRENCY` - Max concurrent generations (default: `1`)
## Development
### Local Setup
```bash
cd services/comfy-agent
python -m venv venv
source venv/bin/activate # or `venv\Scripts\activate` on Windows
pip install -r requirements.txt
# Run locally
uvicorn app.main:app --reload --port 8880
```
### Docker Build
```bash
docker build -t comfy-agent:latest .
```
### Testing
```bash
# Test image generation
curl -X POST http://localhost:8880/generate/image \
-H "Content-Type: application/json" \
-d '{"prompt":"a futuristic city, cyberpunk style"}'
# Check status
curl http://localhost:8880/status/job_abc123...
# Health check
curl http://localhost:8880/healthz
```
## TODO / Roadmap
1. **Workflow Templates**: Replace placeholder workflows with actual ComfyUI workflows
- SDXL text-to-image workflow
- LTX-2 text-to-video workflow
- Image-to-video workflow
2. **Result Extraction**: Implement proper file extraction from ComfyUI history
- Download images/videos via `/view` endpoint
- Support multiple output formats (PNG, JPG, GIF, MP4)
- Handle batch outputs
3. **Advanced Features**:
- Workflow library management
- Custom model loading
- LoRA/ControlNet support
- Batch processing
- Queue prioritization
4. **Monitoring**:
- Prometheus metrics
- Grafana dashboards
- Alert on failures
- GPU usage tracking
5. **Storage**:
- S3/MinIO integration for scalable storage
- Result expiration/cleanup
- Thumbnail generation
## Integration with Agent Registry
Add to `config/agent_registry.yml`:
```yaml
comfy:
id: comfy
name: Comfy
role: Image & Video Generation Specialist
scope: node_local
node_id: node-3-threadripper-rtx3090
capabilities:
- text-to-image
- text-to-video
- image-to-video
- workflow-execution
api_endpoint: http://212.8.58.133:8880
nats_subject: agent.invoke.comfy
```
## License
Part of the DAARION MicroDAO project.
## Maintainers
- DAARION Team
- Last Updated: 2026-02-10