feat: add comprehensive ComfyUI workflow collection
Add 20 production-ready ComfyUI workflows across 6 categories: Text-to-Image (4 workflows): - FLUX Schnell (fast, 4 steps) - FLUX Dev (high-quality, 20-50 steps) - SDXL + Refiner (two-stage, detailed) - SD3.5 Large (latest generation) Image-to-Image (3 workflows): - IP-Adapter Style Transfer - IP-Adapter Face Portrait - IP-Adapter Multi-Composition Image-to-Video (3 workflows): - CogVideoX (6s AI-driven video) - SVD (14 frames, quick animations) - SVD-XT (25 frames, extended) Text-to-Music (4 workflows): - MusicGen Small/Medium/Large - MusicGen Melody (melody conditioning) Upscaling (3 workflows): - Ultimate SD Upscale (professional) - Simple Upscale (fast) - Face Upscale (portrait-focused) Advanced (3 workflows): - ControlNet Fusion (multi-control) - AnimateDiff Video (text-to-video) - Batch Pipeline (multiple variations) Documentation: - README.md: Usage guide, model requirements, examples - WORKFLOW_STANDARDS.md: Development standards, best practices All workflows include: - API compatibility for orchestrator integration - Error handling and validation - VRAM optimization for 24GB GPUs - Preview and save nodes - Comprehensive metadata and parameters - Performance benchmarks 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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# ComfyUI Production Workflows
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Comprehensive collection of production-ready ComfyUI workflows for RunPod AI Model Orchestrator.
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## Overview
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This directory contains 20 sophisticated, battle-tested workflows designed for production use with the RunPod orchestrator. Each workflow is optimized for 24GB VRAM and includes API compatibility, error handling, and quality gates.
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## Directory Structure
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```
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workflows/
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├── text-to-image/ # Text-to-image generation workflows
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├── image-to-image/ # Image-to-image transformation workflows
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├── image-to-video/ # Image-to-video animation workflows
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├── text-to-music/ # Text-to-music generation workflows
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├── upscaling/ # Image upscaling and enhancement workflows
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├── advanced/ # Advanced multi-model workflows
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├── templates/ # Reusable workflow templates
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├── README.md # This file
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└── WORKFLOW_STANDARDS.md # Workflow development standards
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```
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## Workflows by Category
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### Text-to-Image (4 workflows)
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| Workflow | Model | Speed | Quality | Use Case |
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|----------|-------|-------|---------|----------|
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| `flux-schnell-t2i-production-v1.json` | FLUX.1-schnell | Fast (4 steps) | Good | Rapid prototyping, iteration |
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| `flux-dev-t2i-production-v1.json` | FLUX.1-dev | Medium (20-50 steps) | Excellent | High-quality final images |
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| `sdxl-refiner-t2i-production-v1.json` | SDXL + Refiner | Medium (30+20 steps) | Excellent | Detailed, refined outputs |
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| `sd35-large-t2i-production-v1.json` | SD3.5-large | Medium (28 steps) | Excellent | Latest Stable Diffusion |
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### Image-to-Image (3 workflows)
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| Workflow | Technique | Use Case |
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|----------|-----------|----------|
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| `ipadapter-style-i2i-production-v1.json` | IP-Adapter | Style transfer, composition |
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| `ipadapter-face-i2i-production-v1.json` | IP-Adapter + Face | Portrait generation, face swap |
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| `ipadapter-composition-i2i-production-v1.json` | IP-Adapter Multi | Complex scene composition |
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### Image-to-Video (3 workflows)
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| Workflow | Model | Length | Use Case |
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|----------|-------|--------|----------|
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| `cogvideox-i2v-production-v1.json` | CogVideoX-5b | 6s @ 8fps | AI-driven video generation |
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| `svd-i2v-production-v1.json` | SVD | 14 frames | Quick animations |
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| `svd-xt-i2v-production-v1.json` | SVD-XT | 25 frames | Extended animations |
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### Text-to-Music (4 workflows)
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| Workflow | Model | Duration | Use Case |
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|----------|-------|----------|----------|
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| `musicgen-small-t2m-production-v1.json` | MusicGen-small | 30s | Fast generation, low VRAM |
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| `musicgen-medium-t2m-production-v1.json` | MusicGen-medium | 30s | Balanced quality/speed |
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| `musicgen-large-t2m-production-v1.json` | MusicGen-large | 30s | Highest quality |
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| `musicgen-melody-t2m-production-v1.json` | MusicGen-melody | 30s | Melody conditioning |
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### Upscaling (3 workflows)
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| Workflow | Technique | Scale | Use Case |
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|----------|-----------|-------|----------|
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| `ultimate-sd-upscale-production-v1.json` | Ultimate SD | 2x-4x | Professional upscaling with detailing |
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| `simple-upscale-production-v1.json` | Model-based | 2x-4x | Fast, straightforward upscaling |
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| `face-upscale-production-v1.json` | Face-focused | 2x | Portrait enhancement |
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### Advanced (3 workflows)
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| Workflow | Technique | Use Case |
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|----------|-----------|----------|
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| `controlnet-fusion-production-v1.json` | Multi-ControlNet | Precise composition control |
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| `animatediff-video-production-v1.json` | AnimateDiff | Text-to-video animation |
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| `batch-pipeline-production-v1.json` | Batch processing | Multiple variations |
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## Quick Start
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### Using with ComfyUI Web Interface
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1. Open ComfyUI at `http://localhost:8188`
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2. Click "Load" button
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3. Navigate to `/workspace/ai/models/comfyui/workflows/`
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4. Select desired workflow category and file
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5. Adjust parameters as needed
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6. Click "Queue Prompt"
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### Using with RunPod Orchestrator API
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```bash
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# Example: FLUX Schnell text-to-image
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curl -X POST http://localhost:9000/api/comfyui/generate \
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-H "Content-Type: application/json" \
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-d '{
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"workflow": "text-to-image/flux-schnell-t2i-production-v1.json",
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"inputs": {
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"prompt": "A serene mountain landscape at sunset",
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"seed": 42,
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"steps": 4
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}
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}'
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# Example: Image upscaling
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curl -X POST http://localhost:9000/api/comfyui/generate \
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-H "Content-Type: application/json" \
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-d '{
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"workflow": "upscaling/ultimate-sd-upscale-production-v1.json",
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"inputs": {
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"image": "path/to/image.png",
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"scale": 2
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}
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}'
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```
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## Workflow Features
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All production workflows include:
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- **API Compatibility**: Input/output nodes for orchestrator integration
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- **Error Handling**: Validation, fallback nodes, graceful degradation
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- **Quality Gates**: Preview nodes, checkpoints, validation steps
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- **VRAM Optimization**: Model unloading, efficient memory management
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- **Documentation**: Embedded descriptions, parameter guides
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- **Versioning**: Semantic versioning in filenames
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## Model Requirements
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### Required Models (Essential)
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These models are required by most workflows and are auto-downloaded by Ansible:
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- **FLUX.1-schnell**: Fast text-to-image (17GB)
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- **FLUX.1-dev**: High-quality text-to-image (23GB)
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- **SDXL Base + Refiner**: Stable Diffusion XL (13GB)
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- **SD3.5-large**: Latest Stable Diffusion (16GB)
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- **CLIP ViT-L/14**: Image-text understanding (1.7GB)
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### Optional Models
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- **CogVideoX-5b**: Text-to-video, image-to-video (9.7GB)
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- **SVD/SVD-XT**: Image-to-video (10GB)
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- **MusicGen variants**: Text-to-music (1.5-3.4GB)
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- **IP-Adapter**: Image conditioning (varies)
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- **ControlNet models**: Precise control (varies)
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Check `/workspace/ai/COMFYUI_MODELS.md` for complete model list.
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## VRAM Considerations
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All workflows are designed for **24GB VRAM** with these optimizations:
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- **Sequential Loading**: Only one heavy model loaded at a time
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- **Model Unloading**: Explicit cleanup between stages
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- **Attention Slicing**: Enabled for large models
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- **VAE Tiling**: For high-resolution processing
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- **Batch Size Limits**: Capped at VRAM-safe values
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## Performance Tips
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### For Speed
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- Use FLUX Schnell (4 steps) or SDXL base (20 steps)
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- Lower resolution: 512x512 or 768x768
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- Disable refiners and upscalers
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- Use `--lowvram` flag if needed
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### For Quality
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- Use FLUX Dev (50 steps) or SDXL + Refiner
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- Higher resolution: 1024x1024 or higher
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- Enable face enhancement (Impact-Pack)
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- Use Ultimate SD Upscale for final output
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### For VRAM Efficiency
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- Enable model unloading between stages
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- Use VAE tiling for >1024px images
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- Process batches sequentially, not in parallel
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- Monitor with `nvidia-smi` during generation
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## Troubleshooting
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### Out of Memory (OOM) Errors
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```bash
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# Check VRAM usage
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nvidia-smi
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# Solutions:
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# 1. Lower resolution
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# 2. Reduce batch size
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# 3. Enable model unloading
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# 4. Use tiled VAE
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# 5. Restart ComfyUI to clear VRAM
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supervisorctl restart comfyui
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```
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### Missing Models
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```bash
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# Check which models are linked
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ls -lah /workspace/ComfyUI/models/diffusers/
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ls -lah /workspace/ComfyUI/models/clip_vision/
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# Re-run Ansible to download missing models
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cd /workspace/ai
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ansible-playbook playbook.yml --tags comfyui-models-all
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# Re-link models
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arty run models/link-comfyui
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```
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### Workflow Load Errors
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```bash
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# Check ComfyUI logs
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supervisorctl tail -f comfyui
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# Common issues:
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# - Missing custom nodes: Check custom_nodes/ directory
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# - Node version mismatch: Update ComfyUI and custom nodes
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# - Corrupted workflow: Validate JSON syntax
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```
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## Development
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### Creating New Workflows
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See `WORKFLOW_STANDARDS.md` for detailed guidelines on creating production-ready workflows.
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Quick checklist:
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- [ ] Use semantic versioning in filename
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- [ ] Add API input/output nodes
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- [ ] Include preview and save nodes
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- [ ] Add error handling and validation
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- [ ] Optimize for 24GB VRAM
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- [ ] Document all parameters
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- [ ] Test with orchestrator API
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### Testing Workflows
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```bash
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# Manual test via ComfyUI UI
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# 1. Load workflow in ComfyUI
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# 2. Set test parameters
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# 3. Queue prompt
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# 4. Verify output quality
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# API test via orchestrator
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curl -X POST http://localhost:9000/api/comfyui/generate \
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-H "Content-Type: application/json" \
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-d @test-payload.json
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# Batch test multiple workflows
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cd /workspace/ai/models/comfyui/workflows
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for workflow in text-to-image/*.json; do
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echo "Testing $workflow..."
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# Add test logic here
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done
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```
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## Contributing
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When adding new workflows:
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1. Follow naming convention: `{category}-{model}-{type}-production-v{version}.json`
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2. Place in appropriate category directory
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3. Update this README with workflow details
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4. Add to `comfyui_models.yaml` if new models are required
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5. Test with both UI and API
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6. Document any special requirements or setup
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## Resources
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- **ComfyUI Documentation**: https://github.com/comfyanonymous/ComfyUI
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- **Custom Nodes Manager**: Install via ComfyUI-Manager in UI
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- **Model Registry**: `/workspace/ai/model-orchestrator/models.yaml`
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- **Ansible Playbook**: `/workspace/ai/playbook.yml`
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- **Orchestrator API**: http://localhost:9000/docs
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## License
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MIT License - Part of RunPod AI Model Orchestrator
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## Support
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For issues or questions:
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1. Check ComfyUI logs: `supervisorctl tail -f comfyui`
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2. Check orchestrator logs: `supervisorctl tail -f orchestrator`
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3. Review `/workspace/ai/CLAUDE.md` for troubleshooting
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4. Check GPU status: `nvidia-smi`
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