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multimodalart HF staff commited on
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12c8016
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1 Parent(s): b213a9c

Update app.py

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -16,7 +16,7 @@ tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-large-patch14", torch
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  text_encoder_2 = T5EncoderModel.from_pretrained(bfl_repo, subfolder="text_encoder_2", torch_dtype=dtype, revision="refs/pr/1")
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  tokenizer_2 = T5TokenizerFast.from_pretrained(bfl_repo, subfolder="tokenizer_2", torch_dtype=dtype, revision="refs/pr/1")
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  vae = AutoencoderKL.from_pretrained(bfl_repo, subfolder="vae", torch_dtype=dtype, revision="refs/pr/1")
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- transformer = FluxTransformer2DModel.from_pretrained("diffusers-internal-dev/FLUX.1-dev", subfolder="transformer", torch_dtype=dtype, revision="refs/pr/1")
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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  text_encoder_2 = T5EncoderModel.from_pretrained(bfl_repo, subfolder="text_encoder_2", torch_dtype=dtype, revision="refs/pr/1")
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  tokenizer_2 = T5TokenizerFast.from_pretrained(bfl_repo, subfolder="tokenizer_2", torch_dtype=dtype, revision="refs/pr/1")
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  vae = AutoencoderKL.from_pretrained(bfl_repo, subfolder="vae", torch_dtype=dtype, revision="refs/pr/1")
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+ transformer = FluxTransformer2DModel.from_pretrained("diffusers-internal-dev/FLUX.1-dev", subfolder="transformer", torch_dtype=dtype)
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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