multimodalart HF staff commited on
Commit
1d15b14
1 Parent(s): c99dfbf

Update app.py

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Files changed (1) hide show
  1. app.py +1 -0
app.py CHANGED
@@ -14,6 +14,7 @@ MAX_IMAGE_SIZE = 2048
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  pipe = FluxControlPipeline.from_pretrained("black-forest-labs/FLUX.1-Depth-dev", revision="refs/pr/1", torch_dtype=torch.bfloat16).to("cuda")
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  processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
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  def infer(control_image, prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
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  if randomize_seed:
 
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  pipe = FluxControlPipeline.from_pretrained("black-forest-labs/FLUX.1-Depth-dev", revision="refs/pr/1", torch_dtype=torch.bfloat16).to("cuda")
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  processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
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+ @spaces.GPU
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  def infer(control_image, prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
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  if randomize_seed: