Replace inline onclick handlers with proper addEventListener to fix
silent failures from async promise rejections. Add try-catch error
handling to show errors to user instead of failing silently.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Background Job Processor:
- Add src/services/jobProcessor.ts that polls RunPod every 30s for stuck jobs
- Automatically completes or fails jobs that were abandoned (user navigated away)
- Times out jobs after 25 minutes
Client-Side Resume:
- Add GET /api/generate/pending endpoint to fetch user's processing jobs
- Add checkPendingJobs() that runs on login/page load
- Show notification banner when user has jobs generating in background
- Add "View Progress" button to resume polling for a job
Timeout Increases (10min → 25min):
- src/utils/validators.ts: request validation max/default
- src/config.ts: RUNPOD_MAX_TIMEOUT_MS default
- public/js/app.js: client-side polling maxTime
- src/services/jobProcessor.ts: background processor timeout
CI/CD Optimization:
- Add paths-ignore to backend build.yaml to skip rebuilds on frontend-only changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Node.js/Express backend with TypeScript
- SQLite database for users, sessions, and content metadata
- Authentication with TOTP and WebAuthn MFA support
- Admin user auto-created on first startup
- User content gallery with view/delete functionality
- RunPod API proxy (keeps API keys server-side)
- Docker setup with CI/CD for Gitea registry
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Empty backend string still triggered inductor. Removing compile_args
connection from WanVideoModelLoader nodes (131, 132) ensures no
torch.compile is applied to the transformer blocks.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The inductor backend was causing cudaErrorInvalidValue during Triton
kernel autotuning on Blackwell architecture. Setting backend to empty
string disables torch.compile entirely.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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>
- Switch to PyTorch nightly with CUDA 12.8 (required for sm_120)
- Target TORCH_CUDA_ARCH_LIST="12.0" for Blackwell
- Remove nunchaku (incompatible with PyTorch nightly)
- Use latest SageAttention (has sm_120 kernel support)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The sm90 kernels use wgmma instructions that can't be compiled for
sm86/sm89 targets. Restricting to 8.0 (A100) and 9.0 (H100) only.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Recent commits broke TORCH_CUDA_ARCH_LIST support, requiring a GPU
during build. Pin to 2aecfa8 which respects the env var.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update SageAttention CUDA arch list to support A100, A10, RTX 4090, L40, H100/H200
- Add interactive HTML test page for RunPod API testing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Models are stored in /runpod-volume/ComfyUI/models/ on the network
volume, not /runpod-volume/models/. Updated all symlinks to match.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Use correct URL from styler00dollar/VSGAN-tensorrt-docker releases.
Also fix path to ckpts/rife/ subdirectory.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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.
🤖 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>
- 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
🤖 Generated with [Claude Code](https://claude.com/claude-code)
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.
🤖 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>
Fixes workflow error: MathExpression|pysssss node not found.
These nodes are required by the Wan22-I2V-Remix workflow.
🤖 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>
