pixeli99/SVD_Xtend

How can I use the trained module

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|-- 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_images

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