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df4181d
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Update gradio_app.py

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  1. gradio_app.py +4 -0
gradio_app.py CHANGED
@@ -114,6 +114,8 @@ save_fps = 8
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  print("resolution:", resolution)
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  print("init done.")
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  def transpose_if_needed(tensor):
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  h = tensor.shape[-2]
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  w = tensor.shape[-1]
@@ -160,6 +162,8 @@ def get_image(image1, prompt, image2, dim_steps=50, ddim_eta=1., fs=None, seed=1
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  # _, filename = os.path.split(file_list[idx*2])
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  global model
 
 
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  ddim_sampler = DDIMSampler(model) if not multiple_cond_cfg else DDIMSampler_multicond(model)
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  batch_size = 1
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  fs = torch.tensor([fs], dtype=torch.long, device=model.device)
 
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  print("resolution:", resolution)
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  print("init done.")
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+
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+
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  def transpose_if_needed(tensor):
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  h = tensor.shape[-2]
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  w = tensor.shape[-1]
 
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  # _, filename = os.path.split(file_list[idx*2])
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  global model
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+ model.cuda()
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+
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  ddim_sampler = DDIMSampler(model) if not multiple_cond_cfg else DDIMSampler_multicond(model)
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  batch_size = 1
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  fs = torch.tensor([fs], dtype=torch.long, device=model.device)