The frontend-to-API conversion was using outdated widget names that
don't match the current WanVideo node API. Using the exported API
format workflow directly bypasses this issue.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Bypassed/muted nodes should not be included in the API workflow,
and connections from bypassed nodes should be ignored.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The convert_frontend_to_api() function was missing mappings for most
node types, causing "Required input is missing" errors when the API
received workflows in frontend format.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Combine PyTorch + triton install into single layer
- Add pip cache cleanup after each install step
- Change SageAttention to regular install and remove source after build
- Consolidate custom node dependencies into single layer
- Add CLAUDE.md, i2v-workflow.json, update handler.py and PROJECT.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Dockerfile with CUDA 12.8.1, Python 3.12, PyTorch 2.8.0+cu128
- SageAttention 2.2 compiled from source
- Nunchaku wheel installation
- 12 custom nodes pre-installed
- Handler with image/video output support
- Model symlinks to /userdata network volume
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
