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williamberman merged 1 commit into from
Aug 4, 2023
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fix-format #4458

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8 changes: 4 additions & 4 deletions src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py
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Expand Up @@ -203,10 +203,10 @@ def enable_model_cpu_offload(self, gpu_id=0):

def enable_sequential_cpu_offload(self, gpu_id=0):
r"""
Offloads all models (`unet`, `text_encoder`, `vae`, and `safety checker` state dicts) to CPU using 🤗 Accelerate, significantly reducing memory usage. Models are moved to a
`torch.device('meta')` and loaded on a GPU only when their specific submodule's `forward` method is called.
Offloading happens on a submodule basis. Memory savings are higher than using
`enable_model_cpu_offload`, but performance is lower.
Offloads all models (`unet`, `text_encoder`, `vae`, and `safety checker` state dicts) to CPU using 🤗
Accelerate, significantly reducing memory usage. Models are moved to a `torch.device('meta')` and loaded on a
GPU only when their specific submodule's `forward` method is called. Offloading happens on a submodule basis.
Memory savings are higher than using `enable_model_cpu_offload`, but performance is lower.
"""
self.prior_pipe.enable_sequential_cpu_offload(gpu_id=gpu_id)
self.decoder_pipe.enable_sequential_cpu_offload(gpu_id=gpu_id)
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