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# Aider chat conversation: USER: `invokeai/backend/model_manager/convert_ckpt_to_diffusers.py` Could you improve the memory usage efficiency of this code? ASSISTANT: To improve the memory usage efficiency of the code, we can make the following changes: 1. Use `with torch.no_grad()` to avoid storing intermediate values for backpropagation. 2. Move the model to the desired device only when necessary. 3. Clear the cache after moving the model to the desired device. Here are the *SEARCH/REPLACE* blocks: invokeai/backend/model_manager/convert_ckpt_to_diffusers.py ```python <<<<<<< SEARCH vae.load_state_dict(converted_vae_checkpoint) vae.to(precision) ======= with torch.no_grad(): vae.load_state_dict(converted_vae_checkpoint) vae.to(precision) torch.cuda.empty_cache() >>>>>>> REPLACE ``` invokeai/backend/model_manager/convert_ckpt_to_diffusers.py ```python <<<<<<< SEARCH pipe = pipe.to(precision) ======= with torch.no_grad(): pipe = pipe.to(precision) torch.cuda.empty_cache() >>>>>>> REPLACE ``` invokeai/backend/model_manager/convert_ckpt_to_diffusers.py ```python <<<<<<< SEARCH pipe = pipe.to(precision) ======= with torch.no_grad(): pipe = pipe.to(precision) torch.cuda.empty_cache() >>>>>>> REPLACE ```