Use correct URL from styler00dollar/VSGAN-tensorrt-docker releases.
Also fix path to ckpts/rife/ subdirectory.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The RIFE model is small (~15MB) and required for the workflow.
Pre-downloading avoids runtime download delays.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
WanVideo models are stored in diffusion_models/, and the CLIP text
encoder is in text_encoders/. These were missing from the symlink setup.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The frontend-to-API conversion was using outdated widget names that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.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Use REST API to update template's docker image
- Use saveEndpoint mutation with required name field
- Cycle workers to 0 then back to force image refresh
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Updates the serverless endpoint with new image tag and purges
existing workers to force restart with the new image after build.
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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.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Fixes workflow error: MathExpression|pysssss node not found.
These nodes are required by the Wan22-I2V-Remix workflow.
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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
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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
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
