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Running
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Running
on
Zero
Commit
β’
1cf330c
1
Parent(s):
d3e5f59
Autoplay the generated video and add a download button (#19)
Browse files- Autoplay the generated video and add a download button (a452b5852a3919f3f735c9f3dc2271f15b1aa280)
Co-authored-by: Fabrice TIERCELIN <[email protected]>
app.py
CHANGED
@@ -55,7 +55,7 @@ def sample(
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frames = fps14Pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=noise_aug_strength, num_frames=25).frames[0]
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export_to_video(frames, video_path, fps=fps_id)
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return video_path, gr.update(label="Generated frames in *." + frame_format + " format", format = frame_format, value = frames), seed
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def resize_image(image, output_size=(1024, 576)):
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# Calculate aspect ratios
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@@ -105,18 +105,19 @@ with gr.Blocks() as demo:
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noise_aug_strength = gr.Slider(label="Noise strength", info="The noise to add", value=0.1, minimum=0, maximum=1, step=0.1)
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decoding_t = gr.Slider(label="Decoding", info="Number of frames decoded at a time; this eats more VRAM; reduce if necessary", value=3, minimum=1, maximum=5, step=1)
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frame_format = gr.Radio([["*.png", "png"], ["*.webp", "webp"], ["*.jpeg", "jpeg"], ["*.gif", "gif"], ["*.bmp", "bmp"]], label="Image format for result", info="File extention", value="webp", interactive=True)
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version = gr.Radio([["Auto", "auto"], ["SVD (trained on 14 f/s)", "svd"], ["SVD-XT (trained on 25 f/s)", "svdxt"]], label="Model", info="Trained model", value="auto", interactive=True)
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seed = gr.Slider(label="Seed", value=42, randomize=True, minimum=0, maximum=max_64_bit_int, step=1)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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generate_btn = gr.Button(value="Animate", variant="primary")
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with gr.Column():
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video = gr.Video(label="Generated video")
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image.upload(fn=resize_image, inputs=image, outputs=image, queue=False)
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generate_btn.click(fn=sample, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, frame_format, version], outputs=[video, gallery, seed], api_name="video")
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gr.Examples(
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examples=[
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@@ -125,7 +126,7 @@ with gr.Blocks() as demo:
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["Examples/Town.jpeg", 42, True, 127, 25, 0.1, 3, "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, frame_format, version],
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outputs=[video, gallery, seed],
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fn=sample,
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run_on_click=True,
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cache_examples=False,
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frames = fps14Pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=noise_aug_strength, num_frames=25).frames[0]
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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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def resize_image(image, output_size=(1024, 576)):
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# Calculate aspect ratios
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noise_aug_strength = gr.Slider(label="Noise strength", info="The noise to add", value=0.1, minimum=0, maximum=1, step=0.1)
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decoding_t = gr.Slider(label="Decoding", info="Number of frames decoded at a time; this eats more VRAM; reduce if necessary", value=3, minimum=1, maximum=5, step=1)
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frame_format = gr.Radio([["*.png", "png"], ["*.webp", "webp"], ["*.jpeg", "jpeg"], ["*.gif", "gif"], ["*.bmp", "bmp"]], label="Image format for result", info="File extention", value="webp", interactive=True)
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version = gr.Radio([["Auto", "auto"], ["ππ»ββοΈ SVD (trained on 14 f/s)", "svd"], ["ππ»ββοΈπ¨ SVD-XT (trained on 25 f/s)", "svdxt"]], label="Model", info="Trained model", value="auto", interactive=True)
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seed = gr.Slider(label="Seed", value=42, randomize=True, minimum=0, maximum=max_64_bit_int, step=1)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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generate_btn = gr.Button(value="π Animate", variant="primary")
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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="πΎ 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=sample, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, 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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["Examples/Town.jpeg", 42, True, 127, 25, 0.1, 3, "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, frame_format, version],
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outputs=[video, download_button, gallery, seed],
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fn=sample,
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run_on_click=True,
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cache_examples=False,
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