ntly reducing memory usage. When called, unet,
text_encoder, vae and safety checker have their state dicts saved to CPU and then are moved to a
torch.device('meta') and loaded to GPU only when their specific submodule has its forward` method called.

VersatileDiffusionDualGuidedPipeline
	

class diffusers.VersatileDiffusionDualGuidedPipeline

<
source
>
(
tokenizer: CLIPTokenizer
image_feature_extractor: CLIPFeatureExtractor
text_encoder: CLIPT