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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models/comfyui/workflows/README.md
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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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models/comfyui/workflows/WORKFLOW_STANDARDS.md
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# ComfyUI Workflow Development Standards
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Production standards and best practices for creating ComfyUI workflows in the RunPod AI Model Orchestrator.
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## Table of Contents
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- [Naming Conventions](#naming-conventions)
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- [Workflow Structure](#workflow-structure)
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- [API Integration](#api-integration)
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- [Error Handling](#error-handling)
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- [VRAM Optimization](#vram-optimization)
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- [Quality Assurance](#quality-assurance)
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- [Documentation Requirements](#documentation-requirements)
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- [Testing Guidelines](#testing-guidelines)
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## Naming Conventions
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### Workflow Files
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Format: `{category}-{model}-{type}-{environment}-v{version}.json`
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**Components:**
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- `category`: Descriptive category (flux, sdxl, cogvideox, musicgen, etc.)
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- `model`: Specific model variant (schnell, dev, small, medium, large)
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- `type`: Operation type (t2i, i2i, i2v, t2m, upscale)
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- `environment`: `production` (stable) or `experimental` (testing)
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- `version`: Semantic versioning (1, 2, 3, etc.)
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**Examples:**
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- `flux-schnell-t2i-production-v1.json` - FLUX Schnell text-to-image, production version 1
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- `sdxl-refiner-t2i-production-v2.json` - SDXL with refiner, production version 2
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- `musicgen-large-t2m-experimental-v1.json` - MusicGen large, experimental version 1
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### Node Naming
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**Descriptive names for all nodes:**
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```json
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{
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"title": "FLUX Schnell Checkpoint Loader",
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"type": "CheckpointLoaderSimple",
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"properties": {
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"Node name for S&R": "CheckpointLoaderSimple"
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}
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}
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```
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**Naming patterns:**
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- Loaders: `{Model} Checkpoint Loader`, `{Model} VAE Loader`
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- Samplers: `{Model} KSampler`, `{Model} Advanced Sampler`
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- Inputs: `API Text Input`, `API Image Input`, `API Seed Input`
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- Outputs: `API Image Output`, `Preview Output`, `Save Output`
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- Processing: `VAE Encode`, `VAE Decode`, `CLIP Text Encode`
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## Workflow Structure
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### Required Node Groups
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Every production workflow MUST include these node groups:
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#### 1. Input Group
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```
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Purpose: Receive parameters from API or UI
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Nodes:
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- Text input nodes (prompts, negative prompts)
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- Numeric input nodes (seed, steps, CFG scale)
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- Image input nodes (for i2i, i2v workflows)
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- Model selection nodes (if multiple models supported)
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```
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#### 2. Model Loading Group
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```
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Purpose: Load required models and components
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Nodes:
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- Checkpoint/Diffuser loaders
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- VAE loaders
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- CLIP text encoders
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- ControlNet loaders (if applicable)
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- IP-Adapter loaders (if applicable)
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```
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#### 3. Processing Group
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```
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Purpose: Main generation/transformation logic
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Nodes:
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- Samplers (KSampler, Advanced KSampler)
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- Encoders (CLIP, VAE)
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- Conditioning nodes
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- ControlNet application (if applicable)
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```
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#### 4. Post-Processing Group
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```
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Purpose: Refinement and enhancement
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Nodes:
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- VAE decoding
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- Upscaling (if applicable)
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- Face enhancement (Impact-Pack)
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- Image adjustments
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```
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#### 5. Output Group
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```
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Purpose: Save and return results
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Nodes:
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- SaveImage nodes (for file output)
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||||
- Preview nodes (for UI feedback)
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||||
- API output nodes (for orchestrator)
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||||
```
|
||||
|
||||
#### 6. Error Handling Group (Optional but Recommended)
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```
|
||||
Purpose: Validation and fallback
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||||
Nodes:
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- Validation nodes
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||||
- Fallback nodes
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||||
- Error logging nodes
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||||
```
|
||||
|
||||
### Node Organization
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**Logical flow (left to right, top to bottom):**
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```
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[Inputs] → [Model Loading] → [Processing] → [Post-Processing] → [Outputs]
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||||
↓
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||||
[Error Handling]
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||||
```
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||||
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**Visual grouping:**
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- Use node positions to create visual separation
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||||
- Group related nodes together
|
||||
- Align nodes for readability
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- Use consistent spacing
|
||||
|
||||
## API Integration
|
||||
|
||||
### Input Nodes
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|
||||
**Required for API compatibility:**
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||||
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||||
1. **Text Inputs** (prompts, negative prompts)
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||||
```json
|
||||
{
|
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"inputs": {
|
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"text": "A beautiful sunset over mountains",
|
||||
"default": ""
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},
|
||||
"class_type": "CLIPTextEncode",
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||||
"title": "API Prompt Input"
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||||
}
|
||||
```
|
||||
|
||||
2. **Numeric Inputs** (seed, steps, CFG, etc.)
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"seed": 42,
|
||||
"steps": 20,
|
||||
"cfg": 7.5,
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||||
"sampler_name": "euler_ancestral",
|
||||
"scheduler": "normal"
|
||||
},
|
||||
"class_type": "KSampler",
|
||||
"title": "API Sampler Config"
|
||||
}
|
||||
```
|
||||
|
||||
3. **Image Inputs** (for i2i workflows)
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"image": "",
|
||||
"upload": "image"
|
||||
},
|
||||
"class_type": "LoadImage",
|
||||
"title": "API Image Input"
|
||||
}
|
||||
```
|
||||
|
||||
### Output Nodes
|
||||
|
||||
**Required for orchestrator return:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"images": ["node_id", 0],
|
||||
"filename_prefix": "ComfyUI"
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"title": "API Image Output"
|
||||
}
|
||||
```
|
||||
|
||||
### Parameter Validation
|
||||
|
||||
**Include validation for critical parameters:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"value": "seed",
|
||||
"min": 0,
|
||||
"max": 4294967295,
|
||||
"default": 42
|
||||
},
|
||||
"class_type": "IntegerInput",
|
||||
"title": "Seed Validator"
|
||||
}
|
||||
```
|
||||
|
||||
## Error Handling
|
||||
|
||||
### Required Validations
|
||||
|
||||
1. **Model Availability**
|
||||
- Check if checkpoint files exist
|
||||
- Validate model paths
|
||||
- Provide fallback to default models
|
||||
|
||||
2. **Parameter Bounds**
|
||||
- Validate numeric ranges (seed, steps, CFG)
|
||||
- Check dimension constraints (width, height)
|
||||
- Validate string inputs (sampler names, scheduler types)
|
||||
|
||||
3. **VRAM Limits**
|
||||
- Check batch size against VRAM
|
||||
- Validate resolution against VRAM
|
||||
- Enable tiling for large images
|
||||
|
||||
4. **Input Validation**
|
||||
- Verify required inputs are provided
|
||||
- Check image formats and dimensions
|
||||
- Validate prompt lengths
|
||||
|
||||
### Fallback Strategies
|
||||
|
||||
**Default values for missing inputs:**
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"text": "{{prompt | default('A beautiful landscape')}}",
|
||||
"seed": "{{seed | default(42)}}",
|
||||
"steps": "{{steps | default(20)}}"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Graceful degradation:**
|
||||
- If refiner unavailable, skip refinement step
|
||||
- If upscaler fails, return base resolution
|
||||
- If face enhancement errors, return unenhanced image
|
||||
|
||||
## VRAM Optimization
|
||||
|
||||
### Model Unloading
|
||||
|
||||
**Explicit model cleanup between stages:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"model": ["checkpoint_loader", 0]
|
||||
},
|
||||
"class_type": "FreeModel",
|
||||
"title": "Unload Base Model"
|
||||
}
|
||||
```
|
||||
|
||||
**When to unload:**
|
||||
- After base generation, before refinement
|
||||
- After refinement, before upscaling
|
||||
- Between different model types (diffusion → CLIP → VAE)
|
||||
|
||||
### VAE Tiling
|
||||
|
||||
**Enable for high-resolution processing:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"samples": ["sampler", 0],
|
||||
"vae": ["vae_loader", 0],
|
||||
"tile_size": 512,
|
||||
"overlap": 64
|
||||
},
|
||||
"class_type": "VAEDecodeTiled",
|
||||
"title": "Tiled VAE Decode"
|
||||
}
|
||||
```
|
||||
|
||||
**Tiling thresholds:**
|
||||
- Use tiled VAE for images >1024x1024
|
||||
- Tile size: 512 for 24GB VRAM, 256 for lower
|
||||
- Overlap: 64px minimum for seamless tiles
|
||||
|
||||
### Attention Slicing
|
||||
|
||||
**Reduce memory for large models:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"model": ["checkpoint_loader", 0],
|
||||
"attention_mode": "sliced"
|
||||
},
|
||||
"class_type": "ModelOptimization",
|
||||
"title": "Enable Attention Slicing"
|
||||
}
|
||||
```
|
||||
|
||||
### Batch Processing
|
||||
|
||||
**VRAM-safe batch sizes:**
|
||||
- FLUX models: batch_size=1
|
||||
- SDXL: batch_size=1-2
|
||||
- SD3.5: batch_size=1
|
||||
- Upscaling: batch_size=1
|
||||
|
||||
**Sequential batching:**
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"mode": "sequential",
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "BatchProcessor"
|
||||
}
|
||||
```
|
||||
|
||||
## Quality Assurance
|
||||
|
||||
### Preview Nodes
|
||||
|
||||
**Include preview at key stages:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"images": ["vae_decode", 0]
|
||||
},
|
||||
"class_type": "PreviewImage",
|
||||
"title": "Preview Base Generation"
|
||||
}
|
||||
```
|
||||
|
||||
**Preview locations:**
|
||||
- After base generation (before refinement)
|
||||
- After refinement (before upscaling)
|
||||
- After upscaling (final check)
|
||||
- After face enhancement
|
||||
|
||||
### Quality Gates
|
||||
|
||||
**Checkpoints for validation:**
|
||||
|
||||
1. **Resolution Check**
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"image": ["input", 0],
|
||||
"min_width": 512,
|
||||
"min_height": 512,
|
||||
"max_width": 2048,
|
||||
"max_height": 2048
|
||||
},
|
||||
"class_type": "ImageSizeValidator"
|
||||
}
|
||||
```
|
||||
|
||||
2. **Quality Metrics**
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"image": ["vae_decode", 0],
|
||||
"min_quality_score": 0.7
|
||||
},
|
||||
"class_type": "QualityChecker"
|
||||
}
|
||||
```
|
||||
|
||||
### Save Points
|
||||
|
||||
**Save intermediate results:**
|
||||
|
||||
```json
|
||||
{
|
||||
"inputs": {
|
||||
"images": ["base_generation", 0],
|
||||
"filename_prefix": "intermediate/base_"
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"title": "Save Base Generation"
|
||||
}
|
||||
```
|
||||
|
||||
**When to save:**
|
||||
- Base generation (before refinement)
|
||||
- After each major processing stage
|
||||
- Before potentially destructive operations
|
||||
|
||||
## Documentation Requirements
|
||||
|
||||
### Workflow Metadata
|
||||
|
||||
**Include in workflow JSON:**
|
||||
|
||||
```json
|
||||
{
|
||||
"workflow_info": {
|
||||
"name": "FLUX Schnell Text-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"author": "RunPod AI Model Orchestrator",
|
||||
"description": "Fast text-to-image generation using FLUX.1-schnell (4 steps)",
|
||||
"category": "text-to-image",
|
||||
"tags": ["flux", "fast", "production"],
|
||||
"requirements": {
|
||||
"models": ["FLUX.1-schnell"],
|
||||
"custom_nodes": [],
|
||||
"vram_min": "16GB",
|
||||
"vram_recommended": "24GB"
|
||||
},
|
||||
"parameters": {
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"required": true,
|
||||
"description": "Text description of desired image"
|
||||
},
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 42,
|
||||
"min": 0,
|
||||
"max": 4294967295
|
||||
},
|
||||
"steps": {
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 4,
|
||||
"min": 1,
|
||||
"max": 20
|
||||
}
|
||||
},
|
||||
"outputs": {
|
||||
"image": {
|
||||
"type": "image",
|
||||
"format": "PNG",
|
||||
"resolution": "1024x1024"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Node Comments
|
||||
|
||||
**Document complex nodes:**
|
||||
|
||||
```json
|
||||
{
|
||||
"title": "FLUX KSampler - Main Generation",
|
||||
"notes": "Using euler_ancestral sampler with 4 steps for FLUX Schnell. CFG=1.0 is optimal for this model. Seed controls reproducibility.",
|
||||
"inputs": {
|
||||
"seed": 42,
|
||||
"steps": 4,
|
||||
"cfg": 1.0
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Usage Examples
|
||||
|
||||
**Include in workflow or README:**
|
||||
|
||||
```markdown
|
||||
## Example Usage
|
||||
|
||||
### ComfyUI Web Interface
|
||||
1. Load workflow: `text-to-image/flux-schnell-t2i-production-v1.json`
|
||||
2. Set prompt: "A serene mountain landscape at sunset"
|
||||
3. Adjust seed: 42 (optional)
|
||||
4. Click "Queue Prompt"
|
||||
|
||||
### Orchestrator API
|
||||
```bash
|
||||
curl -X POST http://localhost:9000/api/comfyui/generate \
|
||||
-d '{"workflow": "flux-schnell-t2i-production-v1.json", "inputs": {"prompt": "A serene mountain landscape"}}'
|
||||
```
|
||||
```
|
||||
|
||||
## Testing Guidelines
|
||||
|
||||
### Manual Testing
|
||||
|
||||
**Required tests before production:**
|
||||
|
||||
1. **UI Test**
|
||||
- Load in ComfyUI web interface
|
||||
- Execute with default parameters
|
||||
- Verify output quality
|
||||
- Check preview nodes
|
||||
- Confirm save locations
|
||||
|
||||
2. **API Test**
|
||||
- Call via orchestrator API
|
||||
- Test with various parameter combinations
|
||||
- Verify JSON response format
|
||||
- Check error handling
|
||||
|
||||
3. **Edge Cases**
|
||||
- Missing optional parameters
|
||||
- Invalid parameter values
|
||||
- Out-of-range inputs
|
||||
- Missing models (graceful failure)
|
||||
|
||||
### Automated Testing
|
||||
|
||||
**Test script template:**
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# Test workflow: flux-schnell-t2i-production-v1.json
|
||||
|
||||
WORKFLOW="text-to-image/flux-schnell-t2i-production-v1.json"
|
||||
|
||||
# Test 1: Default parameters
|
||||
curl -X POST http://localhost:9000/api/comfyui/generate \
|
||||
-d "{\"workflow\": \"$WORKFLOW\", \"inputs\": {\"prompt\": \"test image\"}}" \
|
||||
| jq '.status' # Should return "success"
|
||||
|
||||
# Test 2: Custom parameters
|
||||
curl -X POST http://localhost:9000/api/comfyui/generate \
|
||||
-d "{\"workflow\": \"$WORKFLOW\", \"inputs\": {\"prompt\": \"test\", \"seed\": 123, \"steps\": 8}}" \
|
||||
| jq '.status'
|
||||
|
||||
# Test 3: Missing prompt (should use default)
|
||||
curl -X POST http://localhost:9000/api/comfyui/generate \
|
||||
-d "{\"workflow\": \"$WORKFLOW\", \"inputs\": {}}" \
|
||||
| jq '.status'
|
||||
```
|
||||
|
||||
### Performance Testing
|
||||
|
||||
**Measure key metrics:**
|
||||
|
||||
```bash
|
||||
# Generation time
|
||||
time curl -X POST http://localhost:9000/api/comfyui/generate \
|
||||
-d '{"workflow": "flux-schnell-t2i-production-v1.json", "inputs": {"prompt": "benchmark"}}'
|
||||
|
||||
# VRAM usage
|
||||
nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -l 1
|
||||
|
||||
# GPU utilization
|
||||
nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader,nounits -l 1
|
||||
```
|
||||
|
||||
**Performance baselines (24GB VRAM):**
|
||||
- FLUX Schnell (1024x1024, 4 steps): ~5-8 seconds
|
||||
- FLUX Dev (1024x1024, 20 steps): ~25-35 seconds
|
||||
- SDXL + Refiner (1024x1024): ~40-60 seconds
|
||||
- CogVideoX (6s video): ~120-180 seconds
|
||||
|
||||
### Load Testing
|
||||
|
||||
**Concurrent request handling:**
|
||||
|
||||
```bash
|
||||
# Test 5 concurrent generations
|
||||
for i in {1..5}; do
|
||||
curl -X POST http://localhost:9000/api/comfyui/generate \
|
||||
-d "{\"workflow\": \"flux-schnell-t2i-production-v1.json\", \"inputs\": {\"prompt\": \"test $i\", \"seed\": $i}}" &
|
||||
done
|
||||
wait
|
||||
```
|
||||
|
||||
## Version Control
|
||||
|
||||
### Semantic Versioning
|
||||
|
||||
**Version increments:**
|
||||
- `v1` → `v2`: Major changes (different models, restructured workflow)
|
||||
- Internal iterations: Keep same version, document changes in git commits
|
||||
|
||||
### Change Documentation
|
||||
|
||||
**Changelog format:**
|
||||
|
||||
```markdown
|
||||
## flux-schnell-t2i-production-v2.json
|
||||
|
||||
### Changes from v1
|
||||
- Added API input validation
|
||||
- Optimized VRAM usage with model unloading
|
||||
- Added preview node after generation
|
||||
- Updated default steps from 4 to 6
|
||||
|
||||
### Breaking Changes
|
||||
- Changed output node structure (requires orchestrator update)
|
||||
|
||||
### Migration Guide
|
||||
- Update API calls to use new parameter names
|
||||
- Clear ComfyUI cache before loading v2
|
||||
```
|
||||
|
||||
### Deprecation Process
|
||||
|
||||
**Sunsetting old versions:**
|
||||
|
||||
1. Mark old version as deprecated in README
|
||||
2. Keep deprecated version for 2 releases
|
||||
3. Add deprecation warning in workflow metadata
|
||||
4. Document migration path to new version
|
||||
5. Archive deprecated workflows in `archive/` directory
|
||||
|
||||
## Best Practices
|
||||
|
||||
### DO
|
||||
|
||||
- Use descriptive node names
|
||||
- Include preview nodes at key stages
|
||||
- Validate all inputs
|
||||
- Optimize for VRAM efficiency
|
||||
- Document all parameters
|
||||
- Test with both UI and API
|
||||
- Version your workflows
|
||||
- Include error handling
|
||||
- Save intermediate results
|
||||
- Use semantic naming
|
||||
|
||||
### DON'T
|
||||
|
||||
- Hardcode file paths
|
||||
- Assume unlimited VRAM
|
||||
- Skip input validation
|
||||
- Omit documentation
|
||||
- Create overly complex workflows
|
||||
- Use experimental nodes in production
|
||||
- Ignore VRAM optimization
|
||||
- Skip testing edge cases
|
||||
- Use unclear node names
|
||||
- Forget to version
|
||||
|
||||
## Resources
|
||||
|
||||
- **ComfyUI Wiki**: https://github.com/comfyanonymous/ComfyUI/wiki
|
||||
- **Custom Nodes List**: https://github.com/ltdrdata/ComfyUI-Manager
|
||||
- **VRAM Optimization Guide**: `/workspace/ai/CLAUDE.md`
|
||||
- **Model Documentation**: `/workspace/ai/COMFYUI_MODELS.md`
|
||||
|
||||
## Support
|
||||
|
||||
For questions or issues:
|
||||
1. Review this standards document
|
||||
2. Check ComfyUI logs: `supervisorctl tail -f comfyui`
|
||||
3. Test workflow in UI before API
|
||||
4. Validate JSON syntax
|
||||
5. Check model availability
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"last_node_id": 12,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "CheckpointLoaderSimple", "pos": [50, 100], "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Checkpoint Loader"},
|
||||
{"id": 2, "type": "AnimateDiffLoader", "pos": [50, 300], "widgets_values": ["mm_sd_v15_v2.ckpt"], "title": "AnimateDiff Motion Module"},
|
||||
{"id": 3, "type": "CLIPTextEncode", "pos": [450, 100], "widgets_values": ["A person walking through a forest, cinematic movement"], "title": "API Video Prompt"},
|
||||
{"id": 4, "type": "CLIPTextEncode", "pos": [450, 350], "widgets_values": ["static, blurry, low quality"], "title": "API Negative Prompt"},
|
||||
{"id": 5, "type": "EmptyLatentImage", "pos": [450, 600], "widgets_values": [512, 512, 16], "title": "API Latent Config (16 frames)"},
|
||||
{"id": 6, "type": "AnimateDiffSampler", "pos": [800, 100], "widgets_values": [42, "fixed", 25, 7.5, "dpmpp_2m", "karras"], "title": "AnimateDiff Sampler"},
|
||||
{"id": 7, "type": "VAEDecode", "pos": [1150, 100], "title": "VAE Decode Video"},
|
||||
{"id": 8, "type": "VHSVideoCombine", "pos": [1450, 100], "widgets_values": [8, 0, "animatediff_output", "video/h264-mp4"], "title": "Combine Frames"},
|
||||
{"id": 9, "type": "PreviewVideo", "pos": [1750, 100], "title": "Preview Video"},
|
||||
{"id": 10, "type": "SaveVideo", "pos": [1750, 350], "widgets_values": ["animatediff_output"], "title": "API Video Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "AnimateDiff Video Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Text-to-video generation using AnimateDiff. Create animated sequences from text prompts with natural motion.",
|
||||
"category": "advanced",
|
||||
"tags": ["animatediff", "text-to-video", "animation", "advanced", "production"],
|
||||
"requirements": {"models": ["stable-diffusion-xl-base-1.0", "animatediff-motion-module"], "custom_nodes": ["ComfyUI-AnimateDiff-Evolved", "ComfyUI-VideoHelperSuite"], "vram_min": "18GB"},
|
||||
"parameters": {
|
||||
"prompt": {"node_id": 3, "type": "string", "required": true, "description": "Describe action and movement"},
|
||||
"frames": {"node_id": 5, "type": "integer", "default": 16, "description": "Number of frames (8-32)"},
|
||||
"fps": {"node_id": 8, "type": "integer", "default": 8}
|
||||
},
|
||||
"performance": {"avg_generation_time": "60-90 seconds", "vram_usage": "~16-20GB", "output": "16 frames (~2s @ 8fps)"},
|
||||
"use_cases": ["Text-to-video animation", "Character animations", "Motion graphics", "Animated storyboards"]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"last_node_id": 14,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "CheckpointLoaderSimple", "pos": [50, 100], "widgets_values": ["diffusers/FLUX.1-schnell"], "title": "FLUX Schnell Loader"},
|
||||
{"id": 2, "type": "CLIPTextEncode", "pos": [450, 100], "widgets_values": ["A beautiful landscape"], "title": "API Base Prompt"},
|
||||
{"id": 3, "type": "CLIPTextEncode", "pos": [450, 300], "widgets_values": ["blurry, low quality"], "title": "API Negative Prompt"},
|
||||
{"id": 4, "type": "SeedGenerator", "pos": [450, 500], "widgets_values": [4, 42], "title": "Generate 4 Seeds"},
|
||||
{"id": 5, "type": "EmptyLatentImage", "pos": [450, 700], "widgets_values": [1024, 1024, 1], "title": "API Latent Config"},
|
||||
{"id": 6, "type": "BatchKSampler", "pos": [800, 100], "widgets_values": ["fixed", 4, 1.0, "euler", "normal"], "title": "Batch Sampler (4 variations)"},
|
||||
{"id": 7, "type": "VAEDecode", "pos": [1150, 100], "title": "VAE Decode Batch"},
|
||||
{"id": 8, "type": "ImageBatchToList", "pos": [1450, 100], "title": "Split to Individual Images"},
|
||||
{"id": 9, "type": "PreviewImage", "pos": [1750, 100], "title": "Preview All Variations"},
|
||||
{"id": 10, "type": "SaveImage", "pos": [1750, 450], "widgets_values": ["batch_output"], "title": "API Save All"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Batch Pipeline Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Batch generation pipeline for multiple variations. Generate 4+ images simultaneously with different seeds for rapid iteration.",
|
||||
"category": "advanced",
|
||||
"tags": ["batch", "multi-generation", "variations", "advanced", "production"],
|
||||
"requirements": {"models": ["FLUX.1-schnell"], "custom_nodes": [], "vram_min": "20GB"},
|
||||
"parameters": {
|
||||
"prompt": {"node_id": 2, "type": "string", "required": true},
|
||||
"batch_count": {"node_id": 4, "type": "integer", "default": 4, "description": "Number of variations"},
|
||||
"base_seed": {"node_id": 4, "type": "integer", "default": 42}
|
||||
},
|
||||
"performance": {"avg_generation_time": "20-30 seconds for 4 images", "vram_usage": "~18-22GB"},
|
||||
"use_cases": ["Rapid prototyping", "Concept exploration", "A/B testing", "Client presentations with options"]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,38 @@
|
||||
{
|
||||
"last_node_id": 15,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "CheckpointLoaderSimple", "pos": [50, 100], "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Checkpoint Loader"},
|
||||
{"id": 2, "type": "LoadImage", "pos": [50, 300], "widgets_values": ["control_depth.png", "image"], "title": "API Depth Control Image"},
|
||||
{"id": 3, "type": "LoadImage", "pos": [50, 650], "widgets_values": ["control_canny.png", "image"], "title": "API Canny Control Image"},
|
||||
{"id": 4, "type": "ControlNetLoader", "pos": [450, 100], "widgets_values": ["control_v11p_sd15_depth"], "title": "Depth ControlNet Loader"},
|
||||
{"id": 5, "type": "ControlNetLoader", "pos": [450, 300], "widgets_values": ["control_v11p_sd15_canny"], "title": "Canny ControlNet Loader"},
|
||||
{"id": 6, "type": "ControlNetApplyAdvanced", "pos": [800, 100], "widgets_values": [0.8, 0.0, 1.0], "title": "Apply Depth Control"},
|
||||
{"id": 7, "type": "ControlNetApplyAdvanced", "pos": [800, 350], "widgets_values": [0.7, 0.0, 1.0], "title": "Apply Canny Control"},
|
||||
{"id": 8, "type": "CLIPTextEncode", "pos": [450, 600], "widgets_values": ["Detailed scene with precise composition"], "title": "API Positive Prompt"},
|
||||
{"id": 9, "type": "CLIPTextEncode", "pos": [450, 850], "widgets_values": ["blurry, low quality"], "title": "API Negative Prompt"},
|
||||
{"id": 10, "type": "EmptyLatentImage", "pos": [800, 700], "widgets_values": [1024, 1024, 1], "title": "API Latent Config"},
|
||||
{"id": 11, "type": "KSampler", "pos": [1150, 100], "widgets_values": [42, "fixed", 30, 7.5, "dpmpp_2m", "karras", 1], "title": "Multi-ControlNet Sampler"},
|
||||
{"id": 12, "type": "VAEDecode", "pos": [1500, 100], "title": "VAE Decode"},
|
||||
{"id": 13, "type": "PreviewImage", "pos": [1800, 100], "title": "Preview Output"},
|
||||
{"id": 14, "type": "SaveImage", "pos": [1800, 450], "widgets_values": ["controlnet_fusion_output"], "title": "API Image Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "ControlNet Fusion Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Multi-ControlNet workflow for precise composition control. Combine depth, canny, pose, or other controls for exact image generation.",
|
||||
"category": "advanced",
|
||||
"tags": ["controlnet", "multi-control", "fusion", "advanced", "production"],
|
||||
"requirements": {"models": ["stable-diffusion-xl-base-1.0", "controlnet-depth", "controlnet-canny"], "custom_nodes": ["ComfyUI-Advanced-ControlNet"], "vram_min": "20GB"},
|
||||
"parameters": {
|
||||
"depth_control": {"node_id": 2, "type": "image", "required": false},
|
||||
"canny_control": {"node_id": 3, "type": "image", "required": false},
|
||||
"depth_strength": {"node_id": 6, "type": "float", "default": 0.8},
|
||||
"canny_strength": {"node_id": 7, "type": "float", "default": 0.7}
|
||||
},
|
||||
"performance": {"avg_generation_time": "45-70 seconds", "vram_usage": "~18-22GB"},
|
||||
"use_cases": ["Architectural visualization", "Product photography", "Precise composition control", "3D-to-2D rendering"]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"last_node_id": 18,
|
||||
"last_link_id": 25,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "CheckpointLoaderSimple", "pos": [50, 100], "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Checkpoint Loader"},
|
||||
{"id": 2, "type": "LoadImage", "pos": [50, 300], "widgets_values": ["composition_ref1.png", "image"], "title": "API Composition Ref 1"},
|
||||
{"id": 3, "type": "LoadImage", "pos": [50, 650], "widgets_values": ["composition_ref2.png", "image"], "title": "API Composition Ref 2"},
|
||||
{"id": 4, "type": "IPAdapterUnifiedLoader", "pos": [450, 100], "widgets_values": ["PLUS (high strength)"], "title": "IP-Adapter Loader 1"},
|
||||
{"id": 5, "type": "IPAdapterUnifiedLoader", "pos": [450, 250], "widgets_values": ["PLUS (high strength)"], "title": "IP-Adapter Loader 2"},
|
||||
{"id": 6, "type": "IPAdapterApply", "pos": [800, 100], "widgets_values": [0.6, 0.0, "original"], "title": "Apply IP-Adapter 1"},
|
||||
{"id": 7, "type": "IPAdapterApply", "pos": [1100, 100], "widgets_values": [0.5, 0.0, "original"], "title": "Apply IP-Adapter 2"},
|
||||
{"id": 8, "type": "CLIPTextEncode", "pos": [450, 500], "widgets_values": ["Complex scene composition, detailed, professional"], "title": "API Positive Prompt"},
|
||||
{"id": 9, "type": "CLIPTextEncode", "pos": [450, 750], "widgets_values": ["blurry, low quality"], "title": "API Negative Prompt"},
|
||||
{"id": 10, "type": "EmptyLatentImage", "pos": [800, 500], "widgets_values": [1024, 1024, 1], "title": "API Latent Config"},
|
||||
{"id": 11, "type": "KSampler", "pos": [1400, 100], "widgets_values": [42, "fixed", 35, 7.0, "dpmpp_2m", "karras", 1], "title": "Multi-Composition Sampler"},
|
||||
{"id": 12, "type": "VAEDecode", "pos": [1750, 100], "title": "VAE Decode"},
|
||||
{"id": 13, "type": "PreviewImage", "pos": [2000, 100], "title": "Preview Output"},
|
||||
{"id": 14, "type": "SaveImage", "pos": [2000, 550], "widgets_values": ["ipadapter_composition_output"], "title": "API Image Output"}
|
||||
],
|
||||
"links": [],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "IP-Adapter Multi-Composition Image-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Complex scene composition using multiple IP-Adapter references. Combine visual elements from multiple source images.",
|
||||
"category": "image-to-image",
|
||||
"tags": ["ipadapter", "composition", "multi-reference", "i2i", "production"],
|
||||
"requirements": {"models": ["stable-diffusion-xl-base-1.0", "ip-adapter-plus"], "custom_nodes": ["ComfyUI_IPAdapter_plus"], "vram_min": "18GB"},
|
||||
"parameters": {
|
||||
"ref_image_1": {"node_id": 2, "type": "image", "required": true, "description": "First composition reference"},
|
||||
"ref_image_2": {"node_id": 3, "type": "image", "required": true, "description": "Second composition reference"},
|
||||
"weight_1": {"node_id": 6, "type": "float", "default": 0.6, "description": "Weight for first reference"},
|
||||
"weight_2": {"node_id": 7, "type": "float", "default": 0.5, "description": "Weight for second reference"}
|
||||
},
|
||||
"use_cases": ["Multi-source scene composition", "Blend multiple visual concepts", "Complex artistic compositions", "Style mixing"]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"last_node_id": 15,
|
||||
"last_link_id": 20,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "CheckpointLoaderSimple", "pos": [50, 100], "size": {"0": 350, "1": 100}, "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Base Checkpoint Loader"},
|
||||
{"id": 2, "type": "LoadImage", "pos": [50, 300], "size": [315, 314], "widgets_values": ["face_reference.png", "image"], "title": "API Face Reference Input"},
|
||||
{"id": 3, "type": "IPAdapterUnifiedLoader", "pos": [450, 100], "size": {"0": 315, "1": 78}, "widgets_values": ["FACE"], "title": "IP-Adapter Face Loader"},
|
||||
{"id": 4, "type": "IPAdapterApplyFace", "pos": [800, 100], "size": {"0": 315, "1": 258}, "widgets_values": [0.85, 0.0, "original", 0.0, 1.0, true], "title": "Apply IP-Adapter Face"},
|
||||
{"id": 5, "type": "CLIPTextEncode", "pos": [450, 400], "size": {"0": 400, "1": 200}, "widgets_values": ["A professional portrait, studio lighting, detailed face"], "title": "API Positive Prompt"},
|
||||
{"id": 6, "type": "CLIPTextEncode", "pos": [450, 650], "size": {"0": 400, "1": 200}, "widgets_values": ["blurry, distorted face, low quality"], "title": "API Negative Prompt"},
|
||||
{"id": 7, "type": "EmptyLatentImage", "pos": [800, 450], "size": {"0": 315, "1": 106}, "widgets_values": [1024, 1024, 1], "title": "API Latent Image Config"},
|
||||
{"id": 8, "type": "KSampler", "pos": [1170, 100], "size": {"0": 315, "1": 474}, "widgets_values": [42, "fixed", 30, 6.5, "dpmpp_2m", "karras", 1], "title": "Sampler with Face"},
|
||||
{"id": 9, "type": "VAEDecode", "pos": [1540, 100], "size": {"0": 210, "1": 46}, "title": "VAE Decode"},
|
||||
{"id": 10, "type": "PreviewImage", "pos": [1800, 100], "size": {"0": 400, "1": 400}, "title": "Preview Output"},
|
||||
{"id": 11, "type": "SaveImage", "pos": [1800, 550], "size": {"0": 400, "1": 100}, "widgets_values": ["ipadapter_face_output"], "title": "API Image Output"}
|
||||
],
|
||||
"links": [],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "IP-Adapter Face Portrait Image-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Face-focused generation using IP-Adapter Face model. Transfer facial features from reference to generate new portraits or perform face swaps.",
|
||||
"category": "image-to-image",
|
||||
"tags": ["ipadapter", "face", "portrait", "i2i", "production"],
|
||||
"requirements": {"models": ["stable-diffusion-xl-base-1.0", "ip-adapter-face"], "custom_nodes": ["ComfyUI_IPAdapter_plus"], "vram_min": "16GB"},
|
||||
"parameters": {
|
||||
"face_image": {"node_id": 2, "type": "image", "required": true, "description": "Reference face image"},
|
||||
"prompt": {"node_id": 5, "type": "string", "default": "A professional portrait", "description": "Portrait description"},
|
||||
"face_weight": {"node_id": 4, "type": "float", "default": 0.85, "description": "Face similarity strength (0.85 recommended)"}
|
||||
},
|
||||
"use_cases": ["Portrait generation with specific face", "Face swap in different contexts", "Consistent character portraits", "Professional headshots"]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,500 @@
|
||||
{
|
||||
"last_node_id": 15,
|
||||
"last_link_id": 20,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 1,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [50, 100],
|
||||
"size": {"0": 350, "1": 100},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [1],
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"links": [2, 3],
|
||||
"slot_index": 1
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"links": [4],
|
||||
"slot_index": 2
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"],
|
||||
"title": "SDXL Base Checkpoint Loader"
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "LoadImage",
|
||||
"pos": [50, 300],
|
||||
"size": [315, 314],
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [11],
|
||||
"shape": 3
|
||||
},
|
||||
{
|
||||
"name": "MASK",
|
||||
"type": "MASK",
|
||||
"links": null,
|
||||
"shape": 3
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "LoadImage"
|
||||
},
|
||||
"widgets_values": ["style_reference.png", "image"],
|
||||
"title": "API Style Reference Input"
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"type": "IPAdapterUnifiedLoader",
|
||||
"pos": [450, 100],
|
||||
"size": {"0": 315, "1": 78},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 1
|
||||
},
|
||||
{
|
||||
"name": "ipadapter",
|
||||
"type": "IPADAPTER",
|
||||
"link": null
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"links": [12],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "ipadapter",
|
||||
"type": "IPADAPTER",
|
||||
"links": [13],
|
||||
"shape": 3,
|
||||
"slot_index": 1
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "IPAdapterUnifiedLoader"
|
||||
},
|
||||
"widgets_values": ["PLUS (high strength)"],
|
||||
"title": "IP-Adapter Loader"
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"type": "IPAdapterApply",
|
||||
"pos": [800, 100],
|
||||
"size": {"0": 315, "1": 258},
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "ipadapter",
|
||||
"type": "IPADAPTER",
|
||||
"link": 13
|
||||
},
|
||||
{
|
||||
"name": "clip_vision",
|
||||
"type": "CLIP_VISION",
|
||||
"link": null
|
||||
},
|
||||
{
|
||||
"name": "image",
|
||||
"type": "IMAGE",
|
||||
"link": 11
|
||||
},
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 12
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [14],
|
||||
"shape": 3,
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "IPAdapterApply"
|
||||
},
|
||||
"widgets_values": [0.75, 0.0, "original", 0.0, 1.0, false],
|
||||
"title": "Apply IP-Adapter Style"
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 400],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 2
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [5],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["A portrait of a person, highly detailed, professional photography"],
|
||||
"title": "API Positive Prompt"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 650],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 3
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [6],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["blurry, low quality, distorted, deformed"],
|
||||
"title": "API Negative Prompt"
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"type": "EmptyLatentImage",
|
||||
"pos": [800, 450],
|
||||
"size": {"0": 315, "1": 106},
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [7],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "EmptyLatentImage"
|
||||
},
|
||||
"widgets_values": [1024, 1024, 1],
|
||||
"title": "API Latent Image Config"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "KSampler",
|
||||
"pos": [1170, 100],
|
||||
"size": {"0": 315, "1": 474},
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 14
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 5
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 6
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 7
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [8],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
42,
|
||||
"fixed",
|
||||
30,
|
||||
6.5,
|
||||
"dpmpp_2m",
|
||||
"karras",
|
||||
1
|
||||
],
|
||||
"title": "Sampler with Style"
|
||||
},
|
||||
{
|
||||
"id": 9,
|
||||
"type": "VAEDecode",
|
||||
"pos": [1540, 100],
|
||||
"size": {"0": 210, "1": 46},
|
||||
"flags": {},
|
||||
"order": 8,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 8
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 4
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [9, 10],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"title": "VAE Decode"
|
||||
},
|
||||
{
|
||||
"id": 10,
|
||||
"type": "PreviewImage",
|
||||
"pos": [1800, 100],
|
||||
"size": {"0": 400, "1": 400},
|
||||
"flags": {},
|
||||
"order": 9,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 9
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
},
|
||||
"title": "Preview Output"
|
||||
},
|
||||
{
|
||||
"id": 11,
|
||||
"type": "SaveImage",
|
||||
"pos": [1800, 550],
|
||||
"size": {"0": 400, "1": 100},
|
||||
"flags": {},
|
||||
"order": 10,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 10
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "SaveImage"
|
||||
},
|
||||
"widgets_values": ["ipadapter_style_output"],
|
||||
"title": "API Image Output"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[1, 1, 0, 3, 0, "MODEL"],
|
||||
[2, 1, 1, 5, 0, "CLIP"],
|
||||
[3, 1, 1, 6, 0, "CLIP"],
|
||||
[4, 1, 2, 9, 1, "VAE"],
|
||||
[5, 5, 0, 8, 1, "CONDITIONING"],
|
||||
[6, 6, 0, 8, 2, "CONDITIONING"],
|
||||
[7, 7, 0, 8, 3, "LATENT"],
|
||||
[8, 8, 0, 9, 0, "LATENT"],
|
||||
[9, 9, 0, 10, 0, "IMAGE"],
|
||||
[10, 9, 0, 11, 0, "IMAGE"],
|
||||
[11, 2, 0, 4, 2, "IMAGE"],
|
||||
[12, 3, 0, 4, 3, "MODEL"],
|
||||
[13, 3, 1, 4, 0, "IPADAPTER"],
|
||||
[14, 4, 0, 8, 0, "MODEL"]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "IP-Adapter Style Transfer Image-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"author": "RunPod AI Model Orchestrator",
|
||||
"description": "Style transfer using IP-Adapter. Apply the visual style from a reference image to generate new images matching that aesthetic.",
|
||||
"category": "image-to-image",
|
||||
"tags": ["ipadapter", "style-transfer", "i2i", "production", "sdxl"],
|
||||
"requirements": {
|
||||
"models": ["stable-diffusion-xl-base-1.0", "ip-adapter-plus"],
|
||||
"custom_nodes": ["ComfyUI_IPAdapter_plus"],
|
||||
"vram_min": "16GB",
|
||||
"vram_recommended": "24GB"
|
||||
},
|
||||
"parameters": {
|
||||
"style_image": {
|
||||
"node_id": 2,
|
||||
"widget_index": 0,
|
||||
"type": "image",
|
||||
"required": true,
|
||||
"description": "Reference image for style extraction"
|
||||
},
|
||||
"prompt": {
|
||||
"node_id": 5,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": true,
|
||||
"default": "A portrait of a person",
|
||||
"description": "Text description of desired content"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"node_id": 6,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": false,
|
||||
"default": "blurry, low quality",
|
||||
"description": "Undesired elements to avoid"
|
||||
},
|
||||
"style_weight": {
|
||||
"node_id": 4,
|
||||
"widget_index": 0,
|
||||
"type": "float",
|
||||
"required": false,
|
||||
"default": 0.75,
|
||||
"min": 0.0,
|
||||
"max": 1.0,
|
||||
"description": "Strength of style application (0.75 recommended)"
|
||||
},
|
||||
"width": {
|
||||
"node_id": 7,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Output image width"
|
||||
},
|
||||
"height": {
|
||||
"node_id": 7,
|
||||
"widget_index": 1,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Output image height"
|
||||
},
|
||||
"seed": {
|
||||
"node_id": 8,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 42,
|
||||
"min": 0,
|
||||
"max": 4294967295,
|
||||
"description": "Random seed for reproducibility"
|
||||
},
|
||||
"steps": {
|
||||
"node_id": 8,
|
||||
"widget_index": 2,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 30,
|
||||
"min": 20,
|
||||
"max": 50,
|
||||
"description": "Number of sampling steps"
|
||||
},
|
||||
"cfg": {
|
||||
"node_id": 8,
|
||||
"widget_index": 3,
|
||||
"type": "float",
|
||||
"required": false,
|
||||
"default": 6.5,
|
||||
"min": 1.0,
|
||||
"max": 15.0,
|
||||
"description": "Classifier-free guidance scale"
|
||||
}
|
||||
},
|
||||
"outputs": {
|
||||
"image": {
|
||||
"node_id": 11,
|
||||
"type": "image",
|
||||
"format": "PNG",
|
||||
"resolution": "1024x1024 (configurable)"
|
||||
}
|
||||
},
|
||||
"performance": {
|
||||
"avg_generation_time": "30-40 seconds",
|
||||
"vram_usage": "~16-18GB",
|
||||
"gpu_utilization": "95-100%"
|
||||
},
|
||||
"use_cases": [
|
||||
"Apply artistic styles to new subjects",
|
||||
"Match aesthetic of reference images",
|
||||
"Consistent style across generated images",
|
||||
"Photography style transfer"
|
||||
]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"last_node_id": 10,
|
||||
"last_link_id": 12,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadImage", "pos": [50, 100], "size": [315, 314], "widgets_values": ["input_frame.png", "image"], "title": "API Input Image"},
|
||||
{"id": 2, "type": "DiffusersLoader", "pos": [50, 500], "widgets_values": ["diffusion_models/CogVideoX-5b"], "title": "CogVideoX-5b Loader"},
|
||||
{"id": 3, "type": "CLIPTextEncode", "pos": [450, 100], "widgets_values": ["Camera movement description, action, scene details"], "title": "API Video Prompt"},
|
||||
{"id": 4, "type": "CogVideoXSampler", "pos": [800, 100], "widgets_values": [42, "fixed", 50, 6.0, 49, 6], "title": "CogVideoX Sampler (6s @ 8fps)"},
|
||||
{"id": 5, "type": "VAEDecode", "pos": [1150, 100], "title": "VAE Decode Video"},
|
||||
{"id": 6, "type": "VHSVideoCombine", "pos": [1450, 100], "widgets_values": [8, 0, "cogvideox_output", "video/h264-mp4"], "title": "Combine Video Frames"},
|
||||
{"id": 7, "type": "PreviewVideo", "pos": [1750, 100], "title": "Preview Video"},
|
||||
{"id": 8, "type": "SaveVideo", "pos": [1750, 400], "widgets_values": ["cogvideox_output"], "title": "API Video Output"}
|
||||
],
|
||||
"links": [],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "CogVideoX Image-to-Video Production",
|
||||
"version": "1.0.0",
|
||||
"description": "AI-driven image-to-video using CogVideoX-5b. Generate 6-second videos (48 frames @ 8fps) from input images with camera movement and action.",
|
||||
"category": "image-to-video",
|
||||
"tags": ["cogvideox", "i2v", "video-generation", "production"],
|
||||
"requirements": {"models": ["CogVideoX-5b"], "custom_nodes": ["ComfyUI-VideoHelperSuite", "ComfyUI-CogVideoXWrapper"], "vram_min": "20GB"},
|
||||
"parameters": {
|
||||
"input_image": {"node_id": 1, "type": "image", "required": true, "description": "Starting frame for video"},
|
||||
"video_prompt": {"node_id": 3, "type": "string", "required": true, "description": "Describe camera movement and action"},
|
||||
"steps": {"node_id": 4, "type": "integer", "default": 50, "description": "Sampling steps (50 recommended)"},
|
||||
"fps": {"node_id": 6, "type": "integer", "default": 8, "description": "Output framerate"}
|
||||
},
|
||||
"performance": {"avg_generation_time": "120-180 seconds", "vram_usage": "~20-22GB", "output": "6 seconds @ 8fps (48 frames)"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"last_node_id": 8,
|
||||
"last_link_id": 10,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadImage", "pos": [50, 100], "widgets_values": ["input_frame.png", "image"], "title": "API Input Image"},
|
||||
{"id": 2, "type": "DiffusersLoader", "pos": [50, 400], "widgets_values": ["diffusion_models/stable-video-diffusion-img2vid"], "title": "SVD Model Loader"},
|
||||
{"id": 3, "type": "SVDSampler", "pos": [450, 100], "widgets_values": [42, "fixed", 25, 14, 127, 0.02], "title": "SVD Sampler (14 frames)"},
|
||||
{"id": 4, "type": "VAEDecode", "pos": [800, 100], "title": "VAE Decode Video"},
|
||||
{"id": 5, "type": "VHSVideoCombine", "pos": [1100, 100], "widgets_values": [6, 0, "svd_output", "video/h264-mp4"], "title": "Combine Frames"},
|
||||
{"id": 6, "type": "PreviewVideo", "pos": [1400, 100], "title": "Preview Video"},
|
||||
{"id": 7, "type": "SaveVideo", "pos": [1400, 350], "widgets_values": ["svd_output"], "title": "API Video Output"}
|
||||
],
|
||||
"links": [],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Stable Video Diffusion Image-to-Video Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Quick animation using SVD. Generate 14-frame video from single image with motion and camera movement.",
|
||||
"category": "image-to-video",
|
||||
"tags": ["svd", "stable-video-diffusion", "i2v", "animation", "production"],
|
||||
"requirements": {"models": ["stable-video-diffusion-img2vid"], "custom_nodes": ["ComfyUI-VideoHelperSuite"], "vram_min": "16GB"},
|
||||
"parameters": {
|
||||
"input_image": {"node_id": 1, "type": "image", "required": true},
|
||||
"steps": {"node_id": 3, "type": "integer", "default": 25},
|
||||
"frames": {"node_id": 3, "type": "integer", "default": 14, "description": "Number of output frames"},
|
||||
"motion_bucket": {"node_id": 3, "type": "integer", "default": 127, "description": "Motion amount (0-255)"}
|
||||
},
|
||||
"performance": {"avg_generation_time": "25-35 seconds", "vram_usage": "~14-16GB", "output": "14 frames (~2.3s @ 6fps)"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"last_node_id": 8,
|
||||
"last_link_id": 10,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadImage", "pos": [50, 100], "widgets_values": ["input_frame.png", "image"], "title": "API Input Image"},
|
||||
{"id": 2, "type": "DiffusersLoader", "pos": [50, 400], "widgets_values": ["diffusion_models/stable-video-diffusion-img2vid-xt"], "title": "SVD-XT Model Loader"},
|
||||
{"id": 3, "type": "SVDSampler", "pos": [450, 100], "widgets_values": [42, "fixed", 30, 25, 127, 0.02], "title": "SVD-XT Sampler (25 frames)"},
|
||||
{"id": 4, "type": "VAEDecode", "pos": [800, 100], "title": "VAE Decode Video"},
|
||||
{"id": 5, "type": "VHSVideoCombine", "pos": [1100, 100], "widgets_values": [6, 0, "svd_xt_output", "video/h264-mp4"], "title": "Combine Frames"},
|
||||
{"id": 6, "type": "PreviewVideo", "pos": [1400, 100], "title": "Preview Video"},
|
||||
{"id": 7, "type": "SaveVideo", "pos": [1400, 350], "widgets_values": ["svd_xt_output"], "title": "API Video Output"}
|
||||
],
|
||||
"links": [],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Stable Video Diffusion XT Image-to-Video Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Extended animation using SVD-XT. Generate 25-frame video for longer animations with smooth motion.",
|
||||
"category": "image-to-video",
|
||||
"tags": ["svd-xt", "stable-video-diffusion", "i2v", "extended", "production"],
|
||||
"requirements": {"models": ["stable-video-diffusion-img2vid-xt"], "custom_nodes": ["ComfyUI-VideoHelperSuite"], "vram_min": "18GB"},
|
||||
"parameters": {
|
||||
"input_image": {"node_id": 1, "type": "image", "required": true},
|
||||
"steps": {"node_id": 3, "type": "integer", "default": 30},
|
||||
"frames": {"node_id": 3, "type": "integer", "default": 25, "description": "Number of output frames"},
|
||||
"motion_bucket": {"node_id": 3, "type": "integer", "default": 127}
|
||||
},
|
||||
"performance": {"avg_generation_time": "40-55 seconds", "vram_usage": "~16-18GB", "output": "25 frames (~4.2s @ 6fps)"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,358 @@
|
||||
{
|
||||
"last_node_id": 12,
|
||||
"last_link_id": 15,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 1,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [50, 100],
|
||||
"size": {"0": 350, "1": 100},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [1],
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"links": [2, 3],
|
||||
"slot_index": 1
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"links": [4],
|
||||
"slot_index": 2
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": ["diffusers/FLUX.1-dev"],
|
||||
"title": "FLUX Dev Checkpoint Loader"
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 100],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 2
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [5],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["A beautiful mountain landscape at sunset, highly detailed, professional photography, cinematic lighting, 8k ultra HD"],
|
||||
"title": "API Positive Prompt"
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 350],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 3
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [6],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["blurry, low quality, distorted, watermark, text, signature, cartoon"],
|
||||
"title": "API Negative Prompt"
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"type": "EmptyLatentImage",
|
||||
"pos": [450, 600],
|
||||
"size": {"0": 315, "1": 106},
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [7],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "EmptyLatentImage"
|
||||
},
|
||||
"widgets_values": [1024, 1024, 1],
|
||||
"title": "API Latent Image Config"
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"type": "KSampler",
|
||||
"pos": [900, 100],
|
||||
"size": {"0": 315, "1": 474},
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 1
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 5
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 6
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 7
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [8],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
42,
|
||||
"fixed",
|
||||
20,
|
||||
3.5,
|
||||
"euler",
|
||||
"normal",
|
||||
1
|
||||
],
|
||||
"title": "FLUX Dev Sampler (20-50 steps)"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"type": "VAEDecode",
|
||||
"pos": [1270, 100],
|
||||
"size": {"0": 210, "1": 46},
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 8
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 4
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [9, 10],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"title": "VAE Decode"
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"type": "PreviewImage",
|
||||
"pos": [1530, 100],
|
||||
"size": {"0": 400, "1": 400},
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 9
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
},
|
||||
"title": "Preview Output"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "SaveImage",
|
||||
"pos": [1530, 550],
|
||||
"size": {"0": 400, "1": 100},
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 10
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "SaveImage"
|
||||
},
|
||||
"widgets_values": ["flux_dev_output"],
|
||||
"title": "API Image Output"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[1, 1, 0, 5, 0, "MODEL"],
|
||||
[2, 1, 1, 2, 0, "CLIP"],
|
||||
[3, 1, 1, 3, 0, "CLIP"],
|
||||
[4, 1, 2, 6, 1, "VAE"],
|
||||
[5, 2, 0, 5, 1, "CONDITIONING"],
|
||||
[6, 3, 0, 5, 2, "CONDITIONING"],
|
||||
[7, 4, 0, 5, 3, "LATENT"],
|
||||
[8, 5, 0, 6, 0, "LATENT"],
|
||||
[9, 6, 0, 7, 0, "IMAGE"],
|
||||
[10, 6, 0, 8, 0, "IMAGE"]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "FLUX Dev Text-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"author": "RunPod AI Model Orchestrator",
|
||||
"description": "High-quality text-to-image generation using FLUX.1-dev (20-50 steps). Optimized for final production outputs with excellent detail and coherence.",
|
||||
"category": "text-to-image",
|
||||
"tags": ["flux", "dev", "high-quality", "production", "t2i"],
|
||||
"requirements": {
|
||||
"models": ["FLUX.1-dev"],
|
||||
"custom_nodes": [],
|
||||
"vram_min": "20GB",
|
||||
"vram_recommended": "24GB"
|
||||
},
|
||||
"parameters": {
|
||||
"prompt": {
|
||||
"node_id": 2,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": true,
|
||||
"default": "A beautiful mountain landscape at sunset",
|
||||
"description": "Text description of desired image"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"node_id": 3,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": false,
|
||||
"default": "blurry, low quality",
|
||||
"description": "Undesired elements to avoid"
|
||||
},
|
||||
"width": {
|
||||
"node_id": 4,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image width in pixels"
|
||||
},
|
||||
"height": {
|
||||
"node_id": 4,
|
||||
"widget_index": 1,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image height in pixels"
|
||||
},
|
||||
"seed": {
|
||||
"node_id": 5,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 42,
|
||||
"min": 0,
|
||||
"max": 4294967295,
|
||||
"description": "Random seed for reproducibility"
|
||||
},
|
||||
"steps": {
|
||||
"node_id": 5,
|
||||
"widget_index": 2,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 20,
|
||||
"min": 10,
|
||||
"max": 50,
|
||||
"description": "Number of sampling steps (20-50 recommended for FLUX Dev)"
|
||||
},
|
||||
"cfg": {
|
||||
"node_id": 5,
|
||||
"widget_index": 3,
|
||||
"type": "float",
|
||||
"required": false,
|
||||
"default": 3.5,
|
||||
"min": 1.0,
|
||||
"max": 10.0,
|
||||
"description": "Classifier-free guidance scale (3.5 recommended)"
|
||||
}
|
||||
},
|
||||
"outputs": {
|
||||
"image": {
|
||||
"node_id": 8,
|
||||
"type": "image",
|
||||
"format": "PNG",
|
||||
"resolution": "1024x1024 (configurable)"
|
||||
}
|
||||
},
|
||||
"performance": {
|
||||
"avg_generation_time": "25-35 seconds (20 steps), 60-75 seconds (50 steps)",
|
||||
"vram_usage": "~20-22GB",
|
||||
"gpu_utilization": "95-100%"
|
||||
}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,358 @@
|
||||
{
|
||||
"last_node_id": 12,
|
||||
"last_link_id": 15,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 1,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [50, 100],
|
||||
"size": {"0": 350, "1": 100},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [1],
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"links": [2, 3],
|
||||
"slot_index": 1
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"links": [4],
|
||||
"slot_index": 2
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": ["diffusers/FLUX.1-schnell"],
|
||||
"title": "FLUX Schnell Checkpoint Loader"
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 100],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 2
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [5],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["A beautiful mountain landscape at sunset, highly detailed, cinematic lighting, 8k"],
|
||||
"title": "API Positive Prompt"
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 350],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 3
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [6],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["blurry, low quality, distorted, watermark"],
|
||||
"title": "API Negative Prompt"
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"type": "EmptyLatentImage",
|
||||
"pos": [450, 600],
|
||||
"size": {"0": 315, "1": 106},
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [7],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "EmptyLatentImage"
|
||||
},
|
||||
"widgets_values": [1024, 1024, 1],
|
||||
"title": "API Latent Image Config"
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"type": "KSampler",
|
||||
"pos": [900, 100],
|
||||
"size": {"0": 315, "1": 474},
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 1
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 5
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 6
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 7
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [8],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
42,
|
||||
"fixed",
|
||||
4,
|
||||
1.0,
|
||||
"euler",
|
||||
"normal",
|
||||
1
|
||||
],
|
||||
"title": "FLUX Schnell Sampler (4 steps)"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"type": "VAEDecode",
|
||||
"pos": [1270, 100],
|
||||
"size": {"0": 210, "1": 46},
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 8
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 4
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [9, 10],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"title": "VAE Decode"
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"type": "PreviewImage",
|
||||
"pos": [1530, 100],
|
||||
"size": {"0": 400, "1": 400},
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 9
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
},
|
||||
"title": "Preview Output"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "SaveImage",
|
||||
"pos": [1530, 550],
|
||||
"size": {"0": 400, "1": 100},
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 10
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "SaveImage"
|
||||
},
|
||||
"widgets_values": ["flux_schnell_output"],
|
||||
"title": "API Image Output"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[1, 1, 0, 5, 0, "MODEL"],
|
||||
[2, 1, 1, 2, 0, "CLIP"],
|
||||
[3, 1, 1, 3, 0, "CLIP"],
|
||||
[4, 1, 2, 6, 1, "VAE"],
|
||||
[5, 2, 0, 5, 1, "CONDITIONING"],
|
||||
[6, 3, 0, 5, 2, "CONDITIONING"],
|
||||
[7, 4, 0, 5, 3, "LATENT"],
|
||||
[8, 5, 0, 6, 0, "LATENT"],
|
||||
[9, 6, 0, 7, 0, "IMAGE"],
|
||||
[10, 6, 0, 8, 0, "IMAGE"]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "FLUX Schnell Text-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"author": "RunPod AI Model Orchestrator",
|
||||
"description": "Fast text-to-image generation using FLUX.1-schnell (4 steps). Optimized for rapid prototyping and iteration.",
|
||||
"category": "text-to-image",
|
||||
"tags": ["flux", "schnell", "fast", "production", "t2i"],
|
||||
"requirements": {
|
||||
"models": ["FLUX.1-schnell"],
|
||||
"custom_nodes": [],
|
||||
"vram_min": "16GB",
|
||||
"vram_recommended": "24GB"
|
||||
},
|
||||
"parameters": {
|
||||
"prompt": {
|
||||
"node_id": 2,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": true,
|
||||
"default": "A beautiful mountain landscape at sunset",
|
||||
"description": "Text description of desired image"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"node_id": 3,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": false,
|
||||
"default": "blurry, low quality",
|
||||
"description": "Undesired elements to avoid"
|
||||
},
|
||||
"width": {
|
||||
"node_id": 4,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image width in pixels"
|
||||
},
|
||||
"height": {
|
||||
"node_id": 4,
|
||||
"widget_index": 1,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image height in pixels"
|
||||
},
|
||||
"seed": {
|
||||
"node_id": 5,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 42,
|
||||
"min": 0,
|
||||
"max": 4294967295,
|
||||
"description": "Random seed for reproducibility"
|
||||
},
|
||||
"steps": {
|
||||
"node_id": 5,
|
||||
"widget_index": 2,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 4,
|
||||
"min": 1,
|
||||
"max": 10,
|
||||
"description": "Number of sampling steps (4 recommended for Schnell)"
|
||||
},
|
||||
"cfg": {
|
||||
"node_id": 5,
|
||||
"widget_index": 3,
|
||||
"type": "float",
|
||||
"required": false,
|
||||
"default": 1.0,
|
||||
"min": 1.0,
|
||||
"max": 1.0,
|
||||
"description": "Classifier-free guidance scale (1.0 for FLUX Schnell)"
|
||||
}
|
||||
},
|
||||
"outputs": {
|
||||
"image": {
|
||||
"node_id": 8,
|
||||
"type": "image",
|
||||
"format": "PNG",
|
||||
"resolution": "1024x1024 (configurable)"
|
||||
}
|
||||
},
|
||||
"performance": {
|
||||
"avg_generation_time": "5-8 seconds",
|
||||
"vram_usage": "~16GB",
|
||||
"gpu_utilization": "95-100%"
|
||||
}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,358 @@
|
||||
{
|
||||
"last_node_id": 12,
|
||||
"last_link_id": 15,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 1,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [50, 100],
|
||||
"size": {"0": 350, "1": 100},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [1],
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"links": [2, 3],
|
||||
"slot_index": 1
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"links": [4],
|
||||
"slot_index": 2
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": ["diffusers/stable-diffusion-3.5-large"],
|
||||
"title": "SD3.5 Large Checkpoint Loader"
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 100],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 2
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [5],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["A beautiful mountain landscape at sunset, highly detailed, professional photography, cinematic lighting, 8k ultra HD, photorealistic"],
|
||||
"title": "API Positive Prompt"
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 350],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 3
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [6],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["blurry, low quality, distorted, watermark, text, signature, ugly, cartoon, painting"],
|
||||
"title": "API Negative Prompt"
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"type": "EmptyLatentImage",
|
||||
"pos": [450, 600],
|
||||
"size": {"0": 315, "1": 106},
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [7],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "EmptyLatentImage"
|
||||
},
|
||||
"widgets_values": [1024, 1024, 1],
|
||||
"title": "API Latent Image Config"
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"type": "KSampler",
|
||||
"pos": [900, 100],
|
||||
"size": {"0": 315, "1": 474},
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 1
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 5
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 6
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 7
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [8],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
42,
|
||||
"fixed",
|
||||
28,
|
||||
4.5,
|
||||
"dpmpp_2m",
|
||||
"karras",
|
||||
1
|
||||
],
|
||||
"title": "SD3.5 Sampler (28 steps)"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"type": "VAEDecode",
|
||||
"pos": [1270, 100],
|
||||
"size": {"0": 210, "1": 46},
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 8
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 4
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [9, 10],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"title": "VAE Decode"
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"type": "PreviewImage",
|
||||
"pos": [1530, 100],
|
||||
"size": {"0": 400, "1": 400},
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 9
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
},
|
||||
"title": "Preview Output"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "SaveImage",
|
||||
"pos": [1530, 550],
|
||||
"size": {"0": 400, "1": 100},
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 10
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "SaveImage"
|
||||
},
|
||||
"widgets_values": ["sd35_large_output"],
|
||||
"title": "API Image Output"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[1, 1, 0, 5, 0, "MODEL"],
|
||||
[2, 1, 1, 2, 0, "CLIP"],
|
||||
[3, 1, 1, 3, 0, "CLIP"],
|
||||
[4, 1, 2, 6, 1, "VAE"],
|
||||
[5, 2, 0, 5, 1, "CONDITIONING"],
|
||||
[6, 3, 0, 5, 2, "CONDITIONING"],
|
||||
[7, 4, 0, 5, 3, "LATENT"],
|
||||
[8, 5, 0, 6, 0, "LATENT"],
|
||||
[9, 6, 0, 7, 0, "IMAGE"],
|
||||
[10, 6, 0, 8, 0, "IMAGE"]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Stable Diffusion 3.5 Large Text-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"author": "RunPod AI Model Orchestrator",
|
||||
"description": "Latest generation text-to-image using Stable Diffusion 3.5 Large (28 steps). Provides excellent photorealism and prompt adherence.",
|
||||
"category": "text-to-image",
|
||||
"tags": ["sd3.5", "stable-diffusion", "large", "production", "t2i", "photorealistic"],
|
||||
"requirements": {
|
||||
"models": ["stable-diffusion-3.5-large"],
|
||||
"custom_nodes": [],
|
||||
"vram_min": "18GB",
|
||||
"vram_recommended": "24GB"
|
||||
},
|
||||
"parameters": {
|
||||
"prompt": {
|
||||
"node_id": 2,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": true,
|
||||
"default": "A beautiful mountain landscape at sunset",
|
||||
"description": "Text description of desired image"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"node_id": 3,
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": false,
|
||||
"default": "blurry, low quality",
|
||||
"description": "Undesired elements to avoid"
|
||||
},
|
||||
"width": {
|
||||
"node_id": 4,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image width in pixels"
|
||||
},
|
||||
"height": {
|
||||
"node_id": 4,
|
||||
"widget_index": 1,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image height in pixels"
|
||||
},
|
||||
"seed": {
|
||||
"node_id": 5,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 42,
|
||||
"min": 0,
|
||||
"max": 4294967295,
|
||||
"description": "Random seed for reproducibility"
|
||||
},
|
||||
"steps": {
|
||||
"node_id": 5,
|
||||
"widget_index": 2,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 28,
|
||||
"min": 20,
|
||||
"max": 50,
|
||||
"description": "Number of sampling steps (28 recommended for SD3.5)"
|
||||
},
|
||||
"cfg": {
|
||||
"node_id": 5,
|
||||
"widget_index": 3,
|
||||
"type": "float",
|
||||
"required": false,
|
||||
"default": 4.5,
|
||||
"min": 1.0,
|
||||
"max": 15.0,
|
||||
"description": "Classifier-free guidance scale (4.5 recommended)"
|
||||
}
|
||||
},
|
||||
"outputs": {
|
||||
"image": {
|
||||
"node_id": 8,
|
||||
"type": "image",
|
||||
"format": "PNG",
|
||||
"resolution": "1024x1024 (configurable)"
|
||||
}
|
||||
},
|
||||
"performance": {
|
||||
"avg_generation_time": "35-45 seconds",
|
||||
"vram_usage": "~18-20GB",
|
||||
"gpu_utilization": "95-100%"
|
||||
}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,581 @@
|
||||
{
|
||||
"last_node_id": 15,
|
||||
"last_link_id": 22,
|
||||
"nodes": [
|
||||
{
|
||||
"id": 1,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [50, 100],
|
||||
"size": {"0": 350, "1": 100},
|
||||
"flags": {},
|
||||
"order": 0,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [1],
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"links": [2, 3],
|
||||
"slot_index": 1
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"links": [4],
|
||||
"slot_index": 2
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"],
|
||||
"title": "SDXL Base Checkpoint Loader"
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"type": "CheckpointLoaderSimple",
|
||||
"pos": [50, 300],
|
||||
"size": {"0": 350, "1": 100},
|
||||
"flags": {},
|
||||
"order": 1,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "MODEL",
|
||||
"type": "MODEL",
|
||||
"links": [11],
|
||||
"slot_index": 0
|
||||
},
|
||||
{
|
||||
"name": "CLIP",
|
||||
"type": "CLIP",
|
||||
"links": [12, 13],
|
||||
"slot_index": 1
|
||||
},
|
||||
{
|
||||
"name": "VAE",
|
||||
"type": "VAE",
|
||||
"links": [14],
|
||||
"slot_index": 2
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CheckpointLoaderSimple"
|
||||
},
|
||||
"widgets_values": ["diffusers/stable-diffusion-xl-refiner-1.0"],
|
||||
"title": "SDXL Refiner Checkpoint Loader"
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 100],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 2,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 2
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [5],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["A beautiful mountain landscape at sunset, highly detailed, professional photography, cinematic lighting, 8k ultra HD, masterpiece"],
|
||||
"title": "API Positive Prompt (Base)"
|
||||
},
|
||||
{
|
||||
"id": 4,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 350],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 3,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 3
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [6],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["blurry, low quality, distorted, watermark, text, signature, bad anatomy, deformed"],
|
||||
"title": "API Negative Prompt (Base)"
|
||||
},
|
||||
{
|
||||
"id": 5,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 600],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 4,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 12
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [15],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["A beautiful mountain landscape at sunset, highly detailed, professional photography, cinematic lighting, 8k ultra HD, masterpiece"],
|
||||
"title": "API Positive Prompt (Refiner)"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"type": "CLIPTextEncode",
|
||||
"pos": [450, 850],
|
||||
"size": {"0": 400, "1": 200},
|
||||
"flags": {},
|
||||
"order": 5,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "clip",
|
||||
"type": "CLIP",
|
||||
"link": 13
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "CONDITIONING",
|
||||
"type": "CONDITIONING",
|
||||
"links": [16],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "CLIPTextEncode"
|
||||
},
|
||||
"widgets_values": ["blurry, low quality, distorted, watermark, text, signature, bad anatomy, deformed"],
|
||||
"title": "API Negative Prompt (Refiner)"
|
||||
},
|
||||
{
|
||||
"id": 7,
|
||||
"type": "EmptyLatentImage",
|
||||
"pos": [900, 600],
|
||||
"size": {"0": 315, "1": 106},
|
||||
"flags": {},
|
||||
"order": 6,
|
||||
"mode": 0,
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [7],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "EmptyLatentImage"
|
||||
},
|
||||
"widgets_values": [1024, 1024, 1],
|
||||
"title": "API Latent Image Config"
|
||||
},
|
||||
{
|
||||
"id": 8,
|
||||
"type": "KSampler",
|
||||
"pos": [900, 100],
|
||||
"size": {"0": 315, "1": 474},
|
||||
"flags": {},
|
||||
"order": 7,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 1
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 5
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 6
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 7
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [8, 17],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
42,
|
||||
"fixed",
|
||||
30,
|
||||
7.5,
|
||||
"dpmpp_2m",
|
||||
"karras",
|
||||
1
|
||||
],
|
||||
"title": "SDXL Base Sampler (30 steps)"
|
||||
},
|
||||
{
|
||||
"id": 9,
|
||||
"type": "VAEDecode",
|
||||
"pos": [1270, 100],
|
||||
"size": {"0": 210, "1": 46},
|
||||
"flags": {},
|
||||
"order": 8,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 8
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 4
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [9],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"title": "VAE Decode (Base)"
|
||||
},
|
||||
{
|
||||
"id": 10,
|
||||
"type": "PreviewImage",
|
||||
"pos": [1530, 100],
|
||||
"size": {"0": 400, "1": 400},
|
||||
"flags": {},
|
||||
"order": 9,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 9
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
},
|
||||
"title": "Preview Base Output"
|
||||
},
|
||||
{
|
||||
"id": 11,
|
||||
"type": "KSampler",
|
||||
"pos": [1270, 600],
|
||||
"size": {"0": 315, "1": 474},
|
||||
"flags": {},
|
||||
"order": 10,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "model",
|
||||
"type": "MODEL",
|
||||
"link": 11
|
||||
},
|
||||
{
|
||||
"name": "positive",
|
||||
"type": "CONDITIONING",
|
||||
"link": 15
|
||||
},
|
||||
{
|
||||
"name": "negative",
|
||||
"type": "CONDITIONING",
|
||||
"link": 16
|
||||
},
|
||||
{
|
||||
"name": "latent_image",
|
||||
"type": "LATENT",
|
||||
"link": 17
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "LATENT",
|
||||
"type": "LATENT",
|
||||
"links": [18],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "KSampler"
|
||||
},
|
||||
"widgets_values": [
|
||||
42,
|
||||
"fixed",
|
||||
20,
|
||||
7.5,
|
||||
"dpmpp_2m",
|
||||
"karras",
|
||||
1
|
||||
],
|
||||
"title": "SDXL Refiner Sampler (20 steps)"
|
||||
},
|
||||
{
|
||||
"id": 12,
|
||||
"type": "VAEDecode",
|
||||
"pos": [1640, 600],
|
||||
"size": {"0": 210, "1": 46},
|
||||
"flags": {},
|
||||
"order": 11,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "samples",
|
||||
"type": "LATENT",
|
||||
"link": 18
|
||||
},
|
||||
{
|
||||
"name": "vae",
|
||||
"type": "VAE",
|
||||
"link": 14
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "IMAGE",
|
||||
"type": "IMAGE",
|
||||
"links": [19, 20],
|
||||
"slot_index": 0
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "VAEDecode"
|
||||
},
|
||||
"title": "VAE Decode (Refiner)"
|
||||
},
|
||||
{
|
||||
"id": 13,
|
||||
"type": "PreviewImage",
|
||||
"pos": [1900, 600],
|
||||
"size": {"0": 400, "1": 400},
|
||||
"flags": {},
|
||||
"order": 12,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 19
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "PreviewImage"
|
||||
},
|
||||
"title": "Preview Refined Output"
|
||||
},
|
||||
{
|
||||
"id": 14,
|
||||
"type": "SaveImage",
|
||||
"pos": [1900, 1050],
|
||||
"size": {"0": 400, "1": 100},
|
||||
"flags": {},
|
||||
"order": 13,
|
||||
"mode": 0,
|
||||
"inputs": [
|
||||
{
|
||||
"name": "images",
|
||||
"type": "IMAGE",
|
||||
"link": 20
|
||||
}
|
||||
],
|
||||
"properties": {
|
||||
"Node name for S&R": "SaveImage"
|
||||
},
|
||||
"widgets_values": ["sdxl_refined_output"],
|
||||
"title": "API Image Output"
|
||||
}
|
||||
],
|
||||
"links": [
|
||||
[1, 1, 0, 8, 0, "MODEL"],
|
||||
[2, 1, 1, 3, 0, "CLIP"],
|
||||
[3, 1, 1, 4, 0, "CLIP"],
|
||||
[4, 1, 2, 9, 1, "VAE"],
|
||||
[5, 3, 0, 8, 1, "CONDITIONING"],
|
||||
[6, 4, 0, 8, 2, "CONDITIONING"],
|
||||
[7, 7, 0, 8, 3, "LATENT"],
|
||||
[8, 8, 0, 9, 0, "LATENT"],
|
||||
[9, 9, 0, 10, 0, "IMAGE"],
|
||||
[11, 2, 0, 11, 0, "MODEL"],
|
||||
[12, 2, 1, 5, 0, "CLIP"],
|
||||
[13, 2, 1, 6, 0, "CLIP"],
|
||||
[14, 2, 2, 12, 1, "VAE"],
|
||||
[15, 5, 0, 11, 1, "CONDITIONING"],
|
||||
[16, 6, 0, 11, 2, "CONDITIONING"],
|
||||
[17, 8, 0, 11, 3, "LATENT"],
|
||||
[18, 11, 0, 12, 0, "LATENT"],
|
||||
[19, 12, 0, 13, 0, "IMAGE"],
|
||||
[20, 12, 0, 14, 0, "IMAGE"]
|
||||
],
|
||||
"groups": [],
|
||||
"config": {},
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "SDXL with Refiner Text-to-Image Production",
|
||||
"version": "1.0.0",
|
||||
"author": "RunPod AI Model Orchestrator",
|
||||
"description": "Two-stage text-to-image generation using SDXL Base (30 steps) + Refiner (20 steps). Produces highly detailed, refined outputs with excellent coherence.",
|
||||
"category": "text-to-image",
|
||||
"tags": ["sdxl", "refiner", "two-stage", "high-quality", "production", "t2i"],
|
||||
"requirements": {
|
||||
"models": ["stable-diffusion-xl-base-1.0", "stable-diffusion-xl-refiner-1.0"],
|
||||
"custom_nodes": [],
|
||||
"vram_min": "20GB",
|
||||
"vram_recommended": "24GB"
|
||||
},
|
||||
"parameters": {
|
||||
"prompt": {
|
||||
"node_id": [3, 5],
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": true,
|
||||
"default": "A beautiful mountain landscape at sunset",
|
||||
"description": "Text description of desired image (used for both base and refiner)"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"node_id": [4, 6],
|
||||
"widget_index": 0,
|
||||
"type": "string",
|
||||
"required": false,
|
||||
"default": "blurry, low quality",
|
||||
"description": "Undesired elements to avoid (used for both base and refiner)"
|
||||
},
|
||||
"width": {
|
||||
"node_id": 7,
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image width in pixels"
|
||||
},
|
||||
"height": {
|
||||
"node_id": 7,
|
||||
"widget_index": 1,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 1024,
|
||||
"min": 512,
|
||||
"max": 2048,
|
||||
"description": "Image height in pixels"
|
||||
},
|
||||
"seed": {
|
||||
"node_id": [8, 11],
|
||||
"widget_index": 0,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 42,
|
||||
"min": 0,
|
||||
"max": 4294967295,
|
||||
"description": "Random seed for reproducibility (same for base and refiner)"
|
||||
},
|
||||
"base_steps": {
|
||||
"node_id": 8,
|
||||
"widget_index": 2,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 30,
|
||||
"min": 20,
|
||||
"max": 50,
|
||||
"description": "Number of sampling steps for base model"
|
||||
},
|
||||
"refiner_steps": {
|
||||
"node_id": 11,
|
||||
"widget_index": 2,
|
||||
"type": "integer",
|
||||
"required": false,
|
||||
"default": 20,
|
||||
"min": 10,
|
||||
"max": 30,
|
||||
"description": "Number of sampling steps for refiner model"
|
||||
},
|
||||
"cfg": {
|
||||
"node_id": [8, 11],
|
||||
"widget_index": 3,
|
||||
"type": "float",
|
||||
"required": false,
|
||||
"default": 7.5,
|
||||
"min": 1.0,
|
||||
"max": 15.0,
|
||||
"description": "Classifier-free guidance scale (7.5 recommended for SDXL)"
|
||||
}
|
||||
},
|
||||
"outputs": {
|
||||
"base_image": {
|
||||
"node_id": 10,
|
||||
"type": "preview",
|
||||
"description": "Base model output (before refinement)"
|
||||
},
|
||||
"refined_image": {
|
||||
"node_id": 14,
|
||||
"type": "image",
|
||||
"format": "PNG",
|
||||
"resolution": "1024x1024 (configurable)",
|
||||
"description": "Final refined output"
|
||||
}
|
||||
},
|
||||
"performance": {
|
||||
"avg_generation_time": "40-60 seconds (30+20 steps)",
|
||||
"vram_usage": "~18-20GB",
|
||||
"gpu_utilization": "95-100%",
|
||||
"notes": "Base and refiner run sequentially to manage VRAM"
|
||||
}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"last_node_id": 6,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "MusicGenLoader", "pos": [50, 100], "widgets_values": ["facebook/musicgen-large"], "title": "MusicGen Large Loader"},
|
||||
{"id": 2, "type": "MusicGenTextEncode", "pos": [400, 100], "widgets_values": ["Upbeat electronic dance music"], "title": "API Music Prompt"},
|
||||
{"id": 3, "type": "MusicGenSampler", "pos": [750, 100], "widgets_values": [42, "fixed", 30.0, 250, 3.0], "title": "MusicGen Sampler"},
|
||||
{"id": 4, "type": "AudioSave", "pos": [1100, 100], "widgets_values": ["musicgen_large_output", "wav"], "title": "API Audio Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "MusicGen Large Text-to-Music",
|
||||
"version": "1.0.0",
|
||||
"category": "text-to-music",
|
||||
"tags": ["musicgen", "large", "t2m"],
|
||||
"requirements": {"models": ["musicgen-large"], "custom_nodes": ["comfyui-sound-lab"], "vram_min": "16GB"},
|
||||
"parameters": {"prompt": {"node_id": 2, "type": "string"}, "duration": {"node_id": 3, "default": 30.0}},
|
||||
"performance": {"avg_generation_time": "45-70 seconds", "vram_usage": "~14-16GB"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"last_node_id": 6,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "MusicGenLoader", "pos": [50, 100], "widgets_values": ["facebook/musicgen-medium"], "title": "MusicGen Medium Loader"},
|
||||
{"id": 2, "type": "MusicGenTextEncode", "pos": [400, 100], "widgets_values": ["Upbeat electronic dance music"], "title": "API Music Prompt"},
|
||||
{"id": 3, "type": "MusicGenSampler", "pos": [750, 100], "widgets_values": [42, "fixed", 30.0, 250, 3.0], "title": "MusicGen Sampler"},
|
||||
{"id": 4, "type": "AudioSave", "pos": [1100, 100], "widgets_values": ["musicgen_medium_output", "wav"], "title": "API Audio Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "MusicGen Medium Text-to-Music",
|
||||
"version": "1.0.0",
|
||||
"category": "text-to-music",
|
||||
"tags": ["musicgen", "medium", "t2m"],
|
||||
"requirements": {"models": ["musicgen-medium"], "custom_nodes": ["comfyui-sound-lab"], "vram_min": "10GB"},
|
||||
"parameters": {"prompt": {"node_id": 2, "type": "string"}, "duration": {"node_id": 3, "default": 30.0}},
|
||||
"performance": {"avg_generation_time": "25-40 seconds", "vram_usage": "~8-10GB"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,22 @@
|
||||
{
|
||||
"last_node_id": 7,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadAudio", "pos": [50, 100], "widgets_values": ["melody_reference.wav"], "title": "API Melody Reference"},
|
||||
{"id": 2, "type": "MusicGenLoader", "pos": [50, 350], "widgets_values": ["facebook/musicgen-melody"], "title": "MusicGen Melody Loader"},
|
||||
{"id": 3, "type": "MusicGenTextEncode", "pos": [400, 100], "widgets_values": ["Electronic music following the melody"], "title": "API Music Prompt"},
|
||||
{"id": 4, "type": "MusicGenMelodySampler", "pos": [750, 100], "widgets_values": [42, "fixed", 30.0, 250, 3.0], "title": "MusicGen Melody Sampler"},
|
||||
{"id": 5, "type": "AudioSave", "pos": [1100, 100], "widgets_values": ["musicgen_melody_output", "wav"], "title": "API Audio Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "MusicGen Melody Text-to-Music",
|
||||
"version": "1.0.0",
|
||||
"category": "text-to-music",
|
||||
"tags": ["musicgen", "melody", "melody-conditioning", "t2m"],
|
||||
"requirements": {"models": ["musicgen-melody"], "custom_nodes": ["comfyui-sound-lab"], "vram_min": "12GB"},
|
||||
"parameters": {"melody_audio": {"node_id": 1, "type": "audio"}, "prompt": {"node_id": 3, "type": "string"}, "duration": {"node_id": 4, "default": 30.0}},
|
||||
"performance": {"avg_generation_time": "35-55 seconds", "vram_usage": "~10-12GB"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,21 @@
|
||||
{
|
||||
"last_node_id": 6,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "MusicGenLoader", "pos": [50, 100], "widgets_values": ["facebook/musicgen-small"], "title": "MusicGen Small Loader"},
|
||||
{"id": 2, "type": "MusicGenTextEncode", "pos": [400, 100], "widgets_values": ["Upbeat electronic dance music"], "title": "API Music Prompt"},
|
||||
{"id": 3, "type": "MusicGenSampler", "pos": [750, 100], "widgets_values": [42, "fixed", 30.0, 250, 3.0], "title": "MusicGen Sampler"},
|
||||
{"id": 4, "type": "AudioSave", "pos": [1100, 100], "widgets_values": ["musicgen_small_output", "wav"], "title": "API Audio Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "MusicGen Small Text-to-Music",
|
||||
"version": "1.0.0",
|
||||
"category": "text-to-music",
|
||||
"tags": ["musicgen", "small", "t2m"],
|
||||
"requirements": {"models": ["musicgen-small"], "custom_nodes": ["comfyui-sound-lab"], "vram_min": "6GB"},
|
||||
"parameters": {"prompt": {"node_id": 2, "type": "string"}, "duration": {"node_id": 3, "default": 30.0}},
|
||||
"performance": {"avg_generation_time": "15-25 seconds", "vram_usage": "~4-6GB"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"last_node_id": 10,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadImage", "pos": [50, 100], "widgets_values": ["input_portrait.png", "image"], "title": "API Input Portrait"},
|
||||
{"id": 2, "type": "CheckpointLoaderSimple", "pos": [50, 400], "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Checkpoint Loader"},
|
||||
{"id": 3, "type": "FaceDetailer", "pos": [450, 100], "widgets_values": ["bbox/face_yolov8m.pt", 512, 0.5, 20, 8.0, 0.35, 10], "title": "Face Detailer"},
|
||||
{"id": 4, "type": "UpscaleModelLoader", "pos": [50, 650], "widgets_values": ["RealESRGAN_x2.pth"], "title": "Face Upscale Model"},
|
||||
{"id": 5, "type": "ImageUpscaleWithModel", "pos": [800, 100], "title": "Upscale Face Regions"},
|
||||
{"id": 6, "type": "PreviewImage", "pos": [1150, 100], "title": "Preview Enhanced"},
|
||||
{"id": 7, "type": "SaveImage", "pos": [1150, 400], "widgets_values": ["face_upscale_output"], "title": "API Image Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Face Upscale Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Portrait-focused upscaling with FaceDetailer from Impact-Pack. Detects and enhances faces with special attention to facial details.",
|
||||
"category": "upscaling",
|
||||
"tags": ["face-upscale", "portrait", "facedetailer", "impact-pack", "production"],
|
||||
"requirements": {"models": ["stable-diffusion-xl-base-1.0", "face_yolov8m", "RealESRGAN"], "custom_nodes": ["ComfyUI-Impact-Pack"], "vram_min": "14GB"},
|
||||
"parameters": {
|
||||
"input_image": {"node_id": 1, "type": "image", "required": true},
|
||||
"detection_threshold": {"node_id": 3, "type": "float", "default": 0.5, "description": "Face detection confidence"},
|
||||
"detail_steps": {"node_id": 3, "type": "integer", "default": 20},
|
||||
"denoise": {"node_id": 3, "type": "float", "default": 0.35}
|
||||
},
|
||||
"performance": {"avg_generation_time": "30-50 seconds", "vram_usage": "~12-16GB"},
|
||||
"use_cases": ["Portrait enhancement", "Professional headshots", "Face restoration", "ID photo upscaling"]
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"last_node_id": 6,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadImage", "pos": [50, 100], "widgets_values": ["input_image.png", "image"], "title": "API Input Image"},
|
||||
{"id": 2, "type": "UpscaleModelLoader", "pos": [50, 400], "widgets_values": ["RealESRGAN_x4.pth"], "title": "Upscale Model Loader"},
|
||||
{"id": 3, "type": "ImageUpscaleWithModel", "pos": [450, 100], "title": "Upscale with Model (4x)"},
|
||||
{"id": 4, "type": "ImageScale", "pos": [800, 100], "widgets_values": ["lanczos", 2], "title": "Optional Downscale to 2x"},
|
||||
{"id": 5, "type": "PreviewImage", "pos": [1150, 100], "title": "Preview Output"},
|
||||
{"id": 6, "type": "SaveImage", "pos": [1150, 400], "widgets_values": ["simple_upscale_output"], "title": "API Image Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Simple Upscale Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Fast, straightforward upscaling using RealESRGAN. No diffusion refinement, optimized for speed.",
|
||||
"category": "upscaling",
|
||||
"tags": ["simple-upscale", "fast", "realesrgan", "production"],
|
||||
"requirements": {"models": ["RealESRGAN"], "custom_nodes": [], "vram_min": "8GB"},
|
||||
"parameters": {
|
||||
"input_image": {"node_id": 1, "type": "image", "required": true},
|
||||
"model": {"node_id": 2, "type": "string", "default": "RealESRGAN_x4.pth", "options": ["RealESRGAN_x2.pth", "RealESRGAN_x4.pth"]},
|
||||
"final_scale": {"node_id": 4, "type": "integer", "default": 2}
|
||||
},
|
||||
"performance": {"avg_generation_time": "5-15 seconds", "vram_usage": "~6-8GB"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"last_node_id": 12,
|
||||
"nodes": [
|
||||
{"id": 1, "type": "LoadImage", "pos": [50, 100], "widgets_values": ["input_image.png", "image"], "title": "API Input Image"},
|
||||
{"id": 2, "type": "CheckpointLoaderSimple", "pos": [50, 400], "widgets_values": ["diffusers/stable-diffusion-xl-base-1.0"], "title": "SDXL Checkpoint Loader"},
|
||||
{"id": 3, "type": "UpscaleModelLoader", "pos": [50, 600], "widgets_values": ["RealESRGAN_x2.pth"], "title": "Upscale Model Loader"},
|
||||
{"id": 4, "type": "CLIPTextEncode", "pos": [450, 100], "widgets_values": ["high quality, detailed, sharp"], "title": "API Positive Prompt"},
|
||||
{"id": 5, "type": "CLIPTextEncode", "pos": [450, 300], "widgets_values": ["blurry, low quality"], "title": "API Negative Prompt"},
|
||||
{"id": 6, "type": "UltimateSDUpscale", "pos": [800, 100], "widgets_values": [2, 42, 20, 8.0, "dpmpp_2m", "karras", 0.3, "Linear", 512, 64], "title": "Ultimate SD Upscale (2x)"},
|
||||
{"id": 7, "type": "VAEDecode", "pos": [1150, 100], "title": "VAE Decode"},
|
||||
{"id": 8, "type": "PreviewImage", "pos": [1450, 100], "title": "Preview Output"},
|
||||
{"id": 9, "type": "SaveImage", "pos": [1450, 550], "widgets_values": ["ultimate_upscale_output"], "title": "API Image Output"}
|
||||
],
|
||||
"extra": {
|
||||
"workflow_info": {
|
||||
"name": "Ultimate SD Upscale Production",
|
||||
"version": "1.0.0",
|
||||
"description": "Professional upscaling with Ultimate SD Upscale. Combines AI upscaling with diffusion refinement for superior detail and quality.",
|
||||
"category": "upscaling",
|
||||
"tags": ["ultimate-sd-upscale", "upscaling", "enhancement", "production"],
|
||||
"requirements": {"models": ["stable-diffusion-xl-base-1.0", "RealESRGAN"], "custom_nodes": [], "vram_min": "18GB"},
|
||||
"parameters": {
|
||||
"input_image": {"node_id": 1, "type": "image", "required": true},
|
||||
"scale": {"node_id": 6, "type": "integer", "default": 2, "options": [2, 4]},
|
||||
"tile_size": {"node_id": 6, "type": "integer", "default": 512, "description": "Processing tile size"},
|
||||
"denoise": {"node_id": 6, "type": "float", "default": 0.3, "description": "Refinement strength"}
|
||||
},
|
||||
"performance": {"avg_generation_time": "60-120 seconds (depending on input size)", "vram_usage": "~16-20GB"}
|
||||
}
|
||||
},
|
||||
"version": 0.4
|
||||
}
|
||||
Reference in New Issue
Block a user