PengWeixuanSZU commited on
Commit
b5cc612
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1 Parent(s): f4e353b

Update app.py

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Files changed (1) hide show
  1. app.py +5 -3
app.py CHANGED
@@ -128,8 +128,10 @@ def inference(source_images,
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  text_prompt, negative_prompt,
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  pipe, vae, guidance_scale,
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  h, w, random_seed)->List[PIL.Image.Image]:
 
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  torch.manual_seed(random_seed)
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-
 
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  pipe.vae.to(DEVICE)
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  pipe.transformer.to(DEVICE)
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  pipe.controlnet_transformer.to(DEVICE)
@@ -209,7 +211,6 @@ def process_video(video_file, image_file, positive_prompt, negative_prompt, guid
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  video:List[PIL.Image.Image]=[]
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- print("所有事都干完了,准备inference。")
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  for i in progress.tqdm(range(video_shard)):
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  if i>0: #first frame guidence
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  first_frame=transforms.ToTensor()(video[-1])
@@ -217,7 +218,8 @@ def process_video(video_file, image_file, positive_prompt, negative_prompt, guid
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  first_frame = rearrange(first_frame,"c w h -> w h c")
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  source_images=source_images
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  target_images=first_frame[None,None,...]
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-
 
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  video+=inference(source_images, \
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  target_images, positive_prompt, \
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  negative_prompt, pipe, pipe.vae, \
 
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  text_prompt, negative_prompt,
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  pipe, vae, guidance_scale,
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  h, w, random_seed)->List[PIL.Image.Image]:
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+ print("来到inference里")
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  torch.manual_seed(random_seed)
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+ print("设置完随机种子,准备移动pipe各组件到gpu")
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+
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  pipe.vae.to(DEVICE)
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  pipe.transformer.to(DEVICE)
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  pipe.controlnet_transformer.to(DEVICE)
 
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  video:List[PIL.Image.Image]=[]
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  for i in progress.tqdm(range(video_shard)):
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  if i>0: #first frame guidence
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  first_frame=transforms.ToTensor()(video[-1])
 
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  first_frame = rearrange(first_frame,"c w h -> w h c")
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  source_images=source_images
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  target_images=first_frame[None,None,...]
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+
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+ print("所有事都干完了,准备inference。")
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  video+=inference(source_images, \
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  target_images, positive_prompt, \
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  negative_prompt, pipe, pipe.vae, \