- Add background thread to read ComfyUI stdout in real-time
- Store last 200 lines in circular buffer
- Echo output to RunPod logs with [ComfyUI] prefix
- Include last 100 lines in error responses for debugging
- Add comfyui_output field to error responses
This will help diagnose why ComfyUI crashes during generation.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add JobLogger class to handler.py for structured timestamped logging
- Increase MAX_TIMEOUT from 600s to 1200s (20 minutes)
- Add logs column to generated_content table via migration
- Store and display job execution logs in gallery UI
- Add Logs button to gallery items with modal display
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The find command searching for .safetensors across /runpod-volume
was timing out after 30 seconds on volumes with many files.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Disable torch.compile (inductor -> disabled) to reduce cold start time
- Fix handler to detect video type from file extension, not output key
- Fix HTML to check filename extension for video display
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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The frontend-to-API conversion was using outdated widget names that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.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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>
