Add multi-ControlNet workflow combining depth and canny edge control for
precise composition with SDXL. Includes example control images for testing.
Changes:
- Add controlnet-fusion-production-v1.json with 18 properly linked nodes
- Add examples/control_depth.png (radial gradient depth map)
- Add examples/control_canny.png (geometric edge detection)
- Chain depth → canny ControlNet application
- Configure for SDXL with 30 steps, CFG 7.0
- Support dual control strengths (depth: 0.8, canny: 0.6)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
The ControlNet workflow requires:
- ControlNet models (not currently installed)
- Control images (user-provided)
- ComfyUI-Advanced-ControlNet custom nodes
This workflow cannot function without these dependencies, so removing
it from production workflows. Can be re-added when ControlNet models
are available in the model orchestrator.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
The ControlNet workflow had no links between nodes. Added all required
connections for a complete multi-ControlNet pipeline:
- SDXL checkpoint → model/CLIP/VAE
- Load depth & canny control images
- Load ControlNet models
- Chain ControlNet applications (depth → canny)
- Text encoders → conditioning
- Sampler → VAE decode → save/preview
Also fixed checkpoint to use sd_xl_base_1.0.safetensors
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
