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Running
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Zero
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cbd363e
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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]>
app.py
CHANGED
@@ -2,6 +2,8 @@ import gradio as gr
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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
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@@ -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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):
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if image.mode == "RGBA":
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image = image.convert("RGB")
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@@ -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)
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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
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@spaces.GPU(duration=120)
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def animate_on_gpu(
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@@ -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)
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gallery = gr.Gallery(label="Generated frames", visible=False)
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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")
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gr.Examples(
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examples=[
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@@ -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],
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fn=animate,
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run_on_click=True,
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cache_examples=False,
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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
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version: str = "auto",
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output_folder: str = "outputs",
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):
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start = time.time()
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if image.mode == "RGBA":
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image = image.convert("RGB")
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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)
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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)
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@spaces.GPU(duration=120)
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def animate_on_gpu(
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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)
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information_msg = gr.HTML(visible = False)
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gallery = gr.Gallery(label="Generated frames", visible=False)
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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, information_msg], api_name="video")
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gr.Examples(
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examples=[
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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, information_msg],
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fn=animate,
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run_on_click=True,
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cache_examples=False,
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