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# 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.
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