Thank you, I have successfully completed the training,output directory structure above.I have a question: How can I use the trained module? Can I use optimizer.bin instead of svd_xt.safetensors? The size of optimizer.bin is over 3GB, whereas svd_xt.safetensors is over 9GB. Therefore, I am wondering if they can be used interchangeably
|-- outputs |-- checkpoint-1000 | |-- optimizer.bin | |-- random_states_0.pkl | |-- scaler.pt | |-- scheduler.bin |
-- unet | |-- config.json |-- diffusion_pytorch_model.safetensors |-- feature_extractor |-- preprocessor_config.json |-- image_encoder | |-- config.json |-- model.safetensors |-- logs |-- model_index.json |-- scheduler |-- scheduler_config.json |-- unet | |-- config.json |-- diffusion_pytorch_model.safetensors |-- vae | |-- config.json |-- diffusion_pytorch_model.safetensors-- validation_imagesThank you, I have successfully completed the training,output directory structure above.I have a question: How can I use the trained module? Can I use
optimizer.bininstead ofsvd_xt.safetensors? The size ofoptimizer.binis over 3GB, whereassvd_xt.safetensorsis over 9GB. Therefore, I am wondering if they can be used interchangeably