Claude/apple silicon install guide 5 d75 w#807
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Nene020911 wants to merge 5 commits intoalievk:masterfrom
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Claude/apple silicon install guide 5 d75 w#807Nene020911 wants to merge 5 commits intoalievk:masterfrom
Nene020911 wants to merge 5 commits intoalievk:masterfrom
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Adds a dedicated guide for installing and running Avatarify locally on Apple Silicon Macs using PyTorch's MPS backend, and links it from the main README. https://claude.ai/code/session_01ASCVThH6JsuiAoYE85WnmQ
Add a prominent warning in Step 1 about restarting the terminal after conda init, and add a dedicated troubleshooting entry for the "CondaError: Run 'conda init' before 'conda activate'" message. https://claude.ai/code/session_01ASCVThH6JsuiAoYE85WnmQ
The device detection in predictor_local.py only checked for CUDA and fell back to CPU, causing ~3 FPS on M-series chips. Now it detects MPS (Metal Performance Shaders) and uses the Apple GPU. Also removed the hard exit in cam_fomm.py that blocked local mode on macOS entirely. https://claude.ai/code/session_01ASCVThH6JsuiAoYE85WnmQ
torch.nn.functional.grid_sample produces corrupted output on MPS devices, causing the avatar output to display garbled/distorted images. Force CPU inference on Apple Silicon until MPS grid_sample support is reliable. https://claude.ai/code/session_01ASCVThH6JsuiAoYE85WnmQ
Instead of falling back entirely to CPU, monkey-patch grid_sample to move tensors to CPU only for that operation and return results to MPS. This keeps all other ops (convolutions, matmuls, etc.) on the GPU for better performance while avoiding the corrupted grid_sample output. https://claude.ai/code/session_01ASCVThH6JsuiAoYE85WnmQ
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