Integration Worker

Phase 2: Integration Implementation

2. Create framework adapter

   • Diffusers: Custom pipeline or model wrapper
   • ComfyUI: Custom node class with quantization hooks
   • Maintain compatibility with existing features

3. Implement model quantization

   • Weight quantization on model load
   • Activation quantization hooks in forward pass
   • Configurable quantization parameters

4. Add configuration support

   • YAML/JSON config files
   • Command-line arguments
   • Runtime configuration changes

Phase 3: Wan2.1 Model Integration

5. Setup model integration

   • Model download from HuggingFace
   • Checkpoint loading with quantization
   • Verify memory usage meets targets

6. Test inference pipeline

   • Text-to-video generation
   • Verify output quality
   • Measure memory and speed

Phase 4: Testing and Validation

7. Run integration tests

   • Full pipeline execution
   • Error handling
   • Resource usage validation

8. Manual verification

   • Generate test videos
   • Compare quality metrics
   • Document any issues

Example Handoff

{
  "salientSummary": "Integrated VideoQuant with Diffusers pipeline. Wan2.1-1.3B loads with W4A4 quantization, achieving 4.2x memory reduction. CPU inference functional, 512x512x16 video generation takes ~8 minutes.",
  "whatWasImplemented": "DiffusersVideoQuantPipeline wrapper, Wan2.1 model integration with weight quantization, CLI tool for video generation, ComfyUI VideoQuantNode implementation.",
  "whatWasLeftUndone": "Multi-GPU support not implemented. Batch generation optimization pending.",
  "verification": {
    "commandsRun": [
      {"command": "python -m pytest tests/test_diffusers_integration.py -v", "exitCode": 0, "observation": "Pipeline loads and generates with quantization"},
      {"command": "python scripts/generate_video.py --model wan2.1-1.3b --quantized --prompt 'a cat playing'", "exitCode": 0, "observation": "Generated 16-frame video in 8min 12s"},
      {"command": "python scripts/benchmark_memory.py", "exitCode": 0, "observation": "Memory reduced from 10.2GB to 2.4GB (4.25x)"}
    ],
    "interactiveChecks": []
  },
  "tests": {
    "added": [
      {"file": "tests/test_diffusers_integration.py", "cases": [
        {"name": "test_pipeline_quantization", "verifies": "VAL-INT-002"},
        {"name": "test_model_loading", "verifies": "VAL-WAN-001"}
      ]},
      {"file": "tests/test_video_generation.py", "cases": [
        {"name": "test_quantized_generation", "verifies": "VAL-WAN-002"},
        {"name": "test_memory_reduction", "verifies": "VAL-WAN-003"}
      ]}
    ]
  },
  "discoveredIssues": []
}

When to Return to Orchestrator

• Framework API incompatibility discovered
• Model loading fails with quantization
• Integration causes unacceptable performance degradation
• Dependencies cannot be satisfied