Add safetensor conversion for Pruna compatibility #3
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zsxkib
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Aug 20, 2025
zsxkib
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- Added safetensor_utils.py module with rename_lora_keys_for_pruna function
- Integrated conversion in train.py's create_output_archive function
- Converts 'diffusion_model' prefix to 'transformer' prefix in LoRA keys
- This removes the 10s conversion delay on Pruna's side
- Gracefully handles errors - continues even if conversion fails
- Preserves all tensor data and validates checksums during conversion
- Added safetensor_utils.py module with rename_lora_keys_for_pruna function - Integrated conversion in train.py's create_output_archive function - Converts 'diffusion_model' prefix to 'transformer' prefix in LoRA keys - This removes the 10s conversion delay on Pruna's side - Gracefully handles errors - continues even if conversion fails - Preserves all tensor data and validates checksums during conversion
- Changed width and height parameters from required int to Optional[int] - This allows the predictor to work with aspect_ratio/image_size presets when custom dimensions are not provided - Maintains backward compatibility while fixing type hints
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