David Krajewski commited on
Commit
e188d3a
·
1 Parent(s): d4b3717

Changed ckpt path

Browse files
Files changed (1) hide show
  1. app.py +2 -22
app.py CHANGED
@@ -225,8 +225,8 @@ class Drag:
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  self.device = device
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  ckpts_dir = "ckpts/"
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- svd_ckpt = "ckpts/stable-video-diffusion-img2vid-xt-1-1"
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- mofa_ckpt = "ckpts/controlnet"
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  self.device = 'cuda'
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  self.weight_dtype = torch.float16
@@ -647,26 +647,6 @@ class Drag:
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  with gr.Blocks() as demo:
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- import os
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- # import nvidia.cublas.lib
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- # import nvidia.cudnn.lib
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- # # print(os.path.dirname(nvidia.cublas.lib.__file__))
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- # print(os.path.dirname(nvidia.cudnn.lib.__file__))
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-
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- # /usr/local/lib/python3.10/site-packages/nvidia/cudnn/lib
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-
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- import os
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-
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- folder_path = "/usr/local/lib/python3.10/site-packages/nvidia/cusolver/lib"
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- if os.path.exists(folder_path) and os.path.isdir(folder_path):
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- print(f"Contents of the folder '{folder_path}':")
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- for item in os.listdir(folder_path):
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- print(item)
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- else:
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- print(f"The folder '{folder_path}' does not exist or is not a directory.")
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-
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- print(os.environ["LD_LIBRARY_PATH"])
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-
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  gr.Markdown("""<h1 align="center">MOFA-Video</h1><br>""")
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  gr.Markdown("""Official Gradio Demo for <a href='https://myniuuu.github.io/MOFA_Video'><b>MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model</b></a>.<br>""")
 
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  self.device = device
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  ckpts_dir = "ckpts/"
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+ svd_ckpt = "./ckpts/stable-video-diffusion-img2vid-xt-1-1"
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+ mofa_ckpt = "./ckpts/controlnet"
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  self.device = 'cuda'
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  self.weight_dtype = torch.float16
 
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  with gr.Blocks() as demo:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  gr.Markdown("""<h1 align="center">MOFA-Video</h1><br>""")
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  gr.Markdown("""Official Gradio Demo for <a href='https://myniuuu.github.io/MOFA_Video'><b>MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model</b></a>.<br>""")