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multimodalart HF Staff commited on
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bda87aa
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1 Parent(s): 161e2f0

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -28,7 +28,7 @@ pipe_schnell = DiffusionPipeline.from_pretrained(
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  torch_dtype=torch.bfloat16
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  )
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- @spaces.GPU(duration=75)
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  def run_parallel_models(prompt, progress=gr.Progress(track_tqdm=True)):
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  pipe_dev.load_lora_weights(hyper_lora)
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  image = pipe_dev(prompt, num_inference_steps=8, joint_attention_kwargs={"scale": 0.125}).images[0]
 
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  torch_dtype=torch.bfloat16
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  )
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+ @spaces.GPU(duration=90)
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  def run_parallel_models(prompt, progress=gr.Progress(track_tqdm=True)):
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  pipe_dev.load_lora_weights(hyper_lora)
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  image = pipe_dev(prompt, num_inference_steps=8, joint_attention_kwargs={"scale": 0.125}).images[0]