lev1 commited on
Commit
bd2c038
1 Parent(s): fdceb05

Reduce chunk size to be able to run on A10G

Browse files
app_canny.py CHANGED
@@ -47,7 +47,7 @@ def create_demo(model: Model):
47
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
48
  "None"], label="Watermark", value='Picsart AI Research')
49
  chunk_size = gr.Slider(
50
- label="Chunk size", minimum=2, maximum=16, value=8, step=1, visible=not on_huggingspace,
51
  info="Number of frames processed at once. Reduce for lower memory usage.")
52
  merging_ratio = gr.Slider(
53
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
 
47
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
48
  "None"], label="Watermark", value='Picsart AI Research')
49
  chunk_size = gr.Slider(
50
+ label="Chunk size", minimum=2, maximum=16, value=2, step=1, visible=not on_huggingspace,
51
  info="Number of frames processed at once. Reduce for lower memory usage.")
52
  merging_ratio = gr.Slider(
53
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
app_canny_db.py CHANGED
@@ -51,7 +51,7 @@ def create_demo(model: Model):
51
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
52
  "None"], label="Watermark", value='Picsart AI Research')
53
  chunk_size = gr.Slider(
54
- label="Chunk size", minimum=2, maximum=16, value=8, step=1, visible=not on_huggingspace,
55
  info="Number of frames processed at once. Reduce for lower memory usage.")
56
  merging_ratio = gr.Slider(
57
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
 
51
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
52
  "None"], label="Watermark", value='Picsart AI Research')
53
  chunk_size = gr.Slider(
54
+ label="Chunk size", minimum=2, maximum=16, value=2, step=1, visible=not on_huggingspace,
55
  info="Number of frames processed at once. Reduce for lower memory usage.")
56
  merging_ratio = gr.Slider(
57
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
app_depth.py CHANGED
@@ -60,7 +60,7 @@ def create_demo(model: Model):
60
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
61
  "None"], label="Watermark", value='Picsart AI Research')
62
  chunk_size = gr.Slider(
63
- label="Chunk size", minimum=2, maximum=16, value=8, step=1, visible=not on_huggingspace,
64
  info="Number of frames processed at once. Reduce for lower memory usage.")
65
  merging_ratio = gr.Slider(
66
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
 
60
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
61
  "None"], label="Watermark", value='Picsart AI Research')
62
  chunk_size = gr.Slider(
63
+ label="Chunk size", minimum=2, maximum=16, value=2, step=1, visible=not on_huggingspace,
64
  info="Number of frames processed at once. Reduce for lower memory usage.")
65
  merging_ratio = gr.Slider(
66
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
app_pix2pix_video.py CHANGED
@@ -74,7 +74,7 @@ def create_demo(model: Model):
74
  value=-1,
75
  step=1)
76
  chunk_size = gr.Slider(
77
- label="Chunk size", minimum=2, maximum=16, value=8, step=1, visible=not on_huggingspace,
78
  info="Number of frames processed at once. Reduce for lower memory usage.")
79
  merging_ratio = gr.Slider(
80
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
 
74
  value=-1,
75
  step=1)
76
  chunk_size = gr.Slider(
77
+ label="Chunk size", minimum=2, maximum=16, value=2, step=1, visible=not on_huggingspace,
78
  info="Number of frames processed at once. Reduce for lower memory usage.")
79
  merging_ratio = gr.Slider(
80
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
app_pose.py CHANGED
@@ -35,7 +35,7 @@ def create_demo(model: Model):
35
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
36
  "None"], label="Watermark", value='Picsart AI Research')
37
  chunk_size = gr.Slider(
38
- label="Chunk size", minimum=2, maximum=16, value=8, step=1, visible=not on_huggingspace,
39
  info="Number of frames processed at once. Reduce for lower memory usage.")
40
  merging_ratio = gr.Slider(
41
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
 
35
  watermark = gr.Radio(["Picsart AI Research", "Text2Video-Zero",
36
  "None"], label="Watermark", value='Picsart AI Research')
37
  chunk_size = gr.Slider(
38
+ label="Chunk size", minimum=2, maximum=16, value=2, step=1, visible=not on_huggingspace,
39
  info="Number of frames processed at once. Reduce for lower memory usage.")
40
  merging_ratio = gr.Slider(
41
  label="Merging ratio", minimum=0.0, maximum=0.9, step=0.1, value=0.0, visible=not on_huggingspace,
app_text_to_video.py CHANGED
@@ -80,7 +80,7 @@ def create_demo(model: Model):
80
  info="Perform DDPM steps from t0 to t1. The larger the gap between t0 and t1, the more variance between the frames. Ensure t0 < t1",
81
  maximum=48, value=47, step=1)
82
  chunk_size = gr.Slider(
83
- label="Chunk size", minimum=2, maximum=16, value=8, step=1, visible=not on_huggingspace,
84
  info="Number of frames processed at once. Reduce for lower memory usage."
85
  )
86
  merging_ratio = gr.Slider(
 
80
  info="Perform DDPM steps from t0 to t1. The larger the gap between t0 and t1, the more variance between the frames. Ensure t0 < t1",
81
  maximum=48, value=47, step=1)
82
  chunk_size = gr.Slider(
83
+ label="Chunk size", minimum=2, maximum=16, value=2, step=1, visible=not on_huggingspace,
84
  info="Number of frames processed at once. Reduce for lower memory usage."
85
  )
86
  merging_ratio = gr.Slider(