# InfiniteTalk Space - Implementation Complete! ✅

## Status: READY TO TEST

The inference logic has been fully integrated! The Space now includes:

### ✅ Completed Integration:

1. **✅ InfiniteTalkPipeline Loading** ([utils/model_loader.py](utils/model_loader.py:107))
   - Properly initializes `wan.InfiniteTalkPipeline`
   - Downloads models from HuggingFace Hub
   - Configures for single-GPU ZeroGPU environment

2. **✅ Audio Processing** ([app.py](app.py:81))
   - `loudness_norm()` function for audio normalization
   - `process_audio()` matches reference implementation
   - Proper 16kHz resampling

3. **✅ Audio Embedding Extraction** ([app.py](app.py:218))
   - Wav2Vec2 feature extraction
   - Hidden state stacking
   - Correct tensor reshaping with einops

4. **✅ Video Generation** ([app.py](app.py:267))
   - Calls `generate_infinitetalk()` with proper parameters
   - Handles both image-to-video and video dubbing
   - Uses `save_video_ffmpeg()` for output

5. **✅ Memory Management**
   - GPU cleanup after generation
   - ZeroGPU duration calculation
   - Memory monitoring

### Reference Files to Study:

1. **`temp-infinitetalk/generate_infinitetalk.py`** - Main inference logic
2. **`temp-infinitetalk/app.py`** - Original Gradio implementation
3. **`wan/multitalk.py`** - Model inference
4. **`wan/utils/multitalk_utils.py`** - Utility functions

### Testing Checklist:

- [ ] Models download correctly from HuggingFace Hub
- [ ] Image input is properly processed
- [ ] Video input is properly processed
- [ ] Audio features are extracted correctly
- [ ] Video generation completes without OOM errors
- [ ] Output video has correct lip-sync
- [ ] Memory is cleaned up after generation
- [ ] Multiple generations work in sequence

## Optional Enhancements (Future):

- [ ] Add Text-to-Speech (kokoro integration)
- [ ] Add multi-person mode support
- [ ] Add progress bar for long videos
- [ ] Add video preview before generation
- [ ] Add batch processing
- [ ] Add custom LoRA support
- [ ] Add video quality comparison slider

## Known Issues:

1. **Flash-attn compilation**: May fail on some systems
   - Solution: Use pre-built wheels or Dockerfile
2. **Model download time**: First run takes 2-3 minutes
   - Expected behavior with 15GB+ models
3. **ZeroGPU timeout**: Long videos may exceed quota
   - Solution: Implement chunking or recommend shorter inputs

## Deployment Notes:

See `DEPLOYMENT.md` for step-by-step deployment instructions.