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multimodalart HF Staff commited on
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848554e
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1 Parent(s): caee859

Update app.py

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Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -9,8 +9,7 @@ from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5Tokenize
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  dtype = torch.bfloat16
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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- transformer = FluxTransformer2DModel.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=dtype)
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- pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", transformer=transformer, torch_dtype=dtype).to(device)
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  MAX_SEED = np.iinfo(np.int32).max
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  MAX_IMAGE_SIZE = 2048
 
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  dtype = torch.bfloat16
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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+ pipe = DiffusionPipeline.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=dtype).to(device)
 
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  MAX_SEED = np.iinfo(np.int32).max
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  MAX_IMAGE_SIZE = 2048