Solitude-liu commited on
Commit
812ca1b
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1 Parent(s): d2b5b0e

fix file error

Browse files
__pycache__/inference_utils.cpython-39.pyc CHANGED
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video_to_video/utils/__pycache__/config.cpython-39.pyc CHANGED
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video_to_video/utils/__pycache__/logger.cpython-39.pyc CHANGED
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video_to_video/utils/__pycache__/seed.cpython-39.pyc CHANGED
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video_to_video/video_to_video_model.py CHANGED
@@ -17,10 +17,10 @@ from diffusers import AutoencoderKLTemporalDecoder
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  import requests
18
 
19
  def download_model(url, model_path):
20
- if not os.path.exists(model_path):
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  print(f"Model not found at {model_path}, downloading...")
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  response = requests.get(url, stream=True)
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- with open(model_path, 'wb') as f:
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  for chunk in response.iter_content(chunk_size=1024):
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  if chunk:
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  f.write(chunk)
@@ -37,7 +37,7 @@ class VideoToVideo_sr():
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  self.device = device # torch.device(f'cuda:0')
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  # text_encoder
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- text_encoder = FrozenOpenCLIPEmbedder(device=self.device, pretrained="laion2b_s32b_b79k")
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  text_encoder.model.to(self.device)
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  self.text_encoder = text_encoder
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  logger.info(f'Build encoder with FrozenOpenCLIPEmbedder')
@@ -54,7 +54,7 @@ class VideoToVideo_sr():
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  download_model(model_url, cfg.model_path)
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56
  # 拼接完整路径
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- model_file_path = os.path.join(cfg.model_path, 'heavy_deg.pt')
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  print('model_file_path:', model_file_path)
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60
  # 加载模型
@@ -80,7 +80,7 @@ class VideoToVideo_sr():
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81
  # Temporal VAE
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  vae = AutoencoderKLTemporalDecoder.from_pretrained(
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- "stabilityai/stable-video-diffusion-img2vid", subfolder="vae", variant="fp16"
84
  )
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  vae.eval()
86
  vae.requires_grad_(False)
 
17
  import requests
18
 
19
  def download_model(url, model_path):
20
+ if not os.path.exists(os.path.join(model_path, 'model.pt')):
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  print(f"Model not found at {model_path}, downloading...")
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  response = requests.get(url, stream=True)
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+ with open(os.path.join(model_path, 'model.pt'), 'wb') as f:
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  for chunk in response.iter_content(chunk_size=1024):
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  if chunk:
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  f.write(chunk)
 
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  self.device = device # torch.device(f'cuda:0')
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  # text_encoder
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+ text_encoder = FrozenOpenCLIPEmbedder(device=self.device, pretrained="/home/test/Workspace/yhliu/VSR/ours/checkpoints/open_clip_pytorch_model.bin")
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  text_encoder.model.to(self.device)
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  self.text_encoder = text_encoder
43
  logger.info(f'Build encoder with FrozenOpenCLIPEmbedder')
 
54
  download_model(model_url, cfg.model_path)
55
 
56
  # 拼接完整路径
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+ model_file_path = os.path.join(cfg.model_path, 'model.pt')
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  print('model_file_path:', model_file_path)
59
 
60
  # 加载模型
 
80
 
81
  # Temporal VAE
82
  vae = AutoencoderKLTemporalDecoder.from_pretrained(
83
+ "/home/test/Workspace/yhliu/VSR/ours/checkpoints/stable-video-diffusion-img2vid", subfolder="vae", variant="fp16"
84
  )
85
  vae.eval()
86
  vae.requires_grad_(False)