Files
zeekay 92654c3ad1 Add complete MPS/Apple Silicon support for StreamDiffusionV2 pipeline
This commit adds full macOS Apple Silicon (M1/M2/M3) support by fixing all
MPS (Metal Performance Shaders) compatibility issues in the WAN model.

## Changes:

### MPS Float64 Compatibility Fixes (5 locations):
- model.py: Fix sinusoidal_embedding_1d to use float32 instead of float64
- model.py: Fix rope_params to use float32 for theta calculations
- model.py: Fix rope_apply to use float32 for complex number operations
- causal_model.py: Fix causal_rope_apply to use float32
- wan_wrapper.py: Change .double() to .float() in _convert_flow_pred_to_x0

### Flash Attention Auto-Detection:
- attention.py: Add CUDA availability detection
- attention.py: Auto-disable flash attention on non-CUDA devices (MPS/CPU)
- attention.py: Use PyTorch's scaled_dot_product_attention as fallback on MPS
- model.py: Replace direct flash_attention() calls with attention() wrapper
- clip.py: Replace direct flash_attention() calls with attention() wrapper

### UI Improvements:
- Update Hanzo logo to use filled white SVG for better visibility
- Add proper favicon support with multiple sizes

### Configuration:
- Change default resolution to 128x128 for better performance on Apple Silicon

## Testing:
Successfully tested real-time video generation on Apple Silicon using MPS backend.
Pipeline loads, processes frames, and generates output without errors.

Fixes compatibility with macOS Metal/MPS acceleration while maintaining
full CUDA support for NVIDIA GPUs.
2025-10-21 11:26:53 -07:00
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