xi0v Fabrice-TIERCELIN commited on
Commit
cbd363e
1 Parent(s): 6bc4f7f

Add information and fix video format (#22)

Browse files

- Add information and fix video format (7e266454113338159a0424722f876bd76384e002)


Co-authored-by: Fabrice TIERCELIN <[email protected]>

Files changed (1) hide show
  1. app.py +19 -3
app.py CHANGED
@@ -2,6 +2,8 @@ import gradio as gr
2
  import torch
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  import os
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  import random
 
 
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  import spaces
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  from glob import glob
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  from pathlib import Path
@@ -36,6 +38,7 @@ def animate(
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  version: str = "auto",
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  output_folder: str = "outputs",
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  ):
 
39
  if image.mode == "RGBA":
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  image = image.convert("RGB")
41
 
@@ -57,8 +60,20 @@ def animate(
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  video_path = os.path.join(output_folder, f"{base_count:06d}." + video_format)
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  export_to_video(frames, video_path, fps=fps_id)
 
 
 
 
 
 
 
 
 
 
 
 
60
 
61
- return video_path, gr.update(value=video_path, visible=True), gr.update(label="Generated frames in *." + frame_format + " format", format = frame_format, value = frames, visible=True), seed
62
 
63
  @spaces.GPU(duration=120)
64
  def animate_on_gpu(
@@ -136,10 +151,11 @@ with gr.Blocks() as demo:
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  with gr.Column():
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  video = gr.Video(label="Generated video", autoplay=True)
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  download_button = gr.DownloadButton(label="💾 Download video", visible=False)
 
139
  gallery = gr.Gallery(label="Generated frames", visible=False)
140
 
141
  image.upload(fn=resize_image, inputs=image, outputs=image, queue=False)
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- generate_btn.click(fn=animate, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, video_format, frame_format, version], outputs=[video, download_button, gallery, seed], api_name="video")
143
 
144
  gr.Examples(
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  examples=[
@@ -148,7 +164,7 @@ with gr.Blocks() as demo:
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  ["Examples/Town.jpeg", 42, True, 127, 25, 0.1, 3, "mp4", "png", "auto"]
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  ],
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  inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, video_format, frame_format, version],
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- outputs=[video, download_button, gallery, seed],
152
  fn=animate,
153
  run_on_click=True,
154
  cache_examples=False,
 
2
  import torch
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  import os
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  import random
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+ import time
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+ import math
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  import spaces
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  from glob import glob
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  from pathlib import Path
 
38
  version: str = "auto",
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  output_folder: str = "outputs",
40
  ):
41
+ start = time.time()
42
  if image.mode == "RGBA":
43
  image = image.convert("RGB")
44
 
 
60
  video_path = os.path.join(output_folder, f"{base_count:06d}." + video_format)
61
 
62
  export_to_video(frames, video_path, fps=fps_id)
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+ end = time.time()
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+ secondes = int(end - start)
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+ minutes = math.floor(secondes / 60)
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+ secondes = secondes - (minutes * 60)
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+ hours = math.floor(minutes / 60)
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+ minutes = minutes - (hours * 60)
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+ information = ("Start the process again if you want a different result. " if randomize_seed else "") + \
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+ "Wait 2 min before a new run to avoid quota penalty or use another computer. " + \
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+ "The video has been generated in " + \
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+ ((str(hours) + " h, ") if hours != 0 else "") + \
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+ ((str(minutes) + " min, ") if hours != 0 or minutes != 0 else "") + \
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+ str(secondes) + " sec."
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+ return gr.update(value=video_path, format=video_format), gr.update(value=video_path, visible=True), gr.update(label="Generated frames in *." + frame_format + " format", format = frame_format, value = frames, visible=True), seed, gr.update(value = information, visible = True)
77
 
78
  @spaces.GPU(duration=120)
79
  def animate_on_gpu(
 
151
  with gr.Column():
152
  video = gr.Video(label="Generated video", autoplay=True)
153
  download_button = gr.DownloadButton(label="💾 Download video", visible=False)
154
+ information_msg = gr.HTML(visible = False)
155
  gallery = gr.Gallery(label="Generated frames", visible=False)
156
 
157
  image.upload(fn=resize_image, inputs=image, outputs=image, queue=False)
158
+ generate_btn.click(fn=animate, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, video_format, frame_format, version], outputs=[video, download_button, gallery, seed, information_msg], api_name="video")
159
 
160
  gr.Examples(
161
  examples=[
 
164
  ["Examples/Town.jpeg", 42, True, 127, 25, 0.1, 3, "mp4", "png", "auto"]
165
  ],
166
  inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, video_format, frame_format, version],
167
+ outputs=[video, download_button, gallery, seed, information_msg],
168
  fn=animate,
169
  run_on_click=True,
170
  cache_examples=False,