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Export to *.gif (#26)
Browse files- Export to *.gif (698726b996c319571d24ef166d2fee81f8ceffb5)
Co-authored-by: Fabrice TIERCELIN <Fabrice-TIERCELIN@users.noreply.huggingface.co>
app.py
CHANGED
@@ -10,7 +10,7 @@ from pathlib import Path
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from typing import Optional
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from diffusers import StableVideoDiffusionPipeline
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from diffusers.utils import export_to_video
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from PIL import Image
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fps25Pipe = StableVideoDiffusionPipeline.from_pretrained(
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@@ -63,9 +63,18 @@ def animate(
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os.makedirs(output_folder, exist_ok=True)
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base_count = len(glob(os.path.join(output_folder, "*." + video_format)))
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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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@@ -79,7 +88,7 @@ def animate(
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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=
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@spaces.GPU(duration=120)
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def animate_on_gpu(
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@@ -131,8 +140,7 @@ def resize_image(image, output_size=(1024, 576)):
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bottom = (new_height + output_size[1]) / 2
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# Crop the image
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return cropped_image
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def reset():
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return [
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@@ -167,7 +175,7 @@ with gr.Blocks() as demo:
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motion_bucket_id = gr.Slider(label="Motion bucket id", info="Controls how much motion to add/remove from the image", value=127, minimum=1, maximum=255)
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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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video_format = gr.Radio([["*.mp4", "mp4"]], label="Video format for result", info="File extention", value="mp4", interactive=True)
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frame_format = gr.Radio([["*.webp", "webp"], ["*.png", "png"], ["*.jpeg", "jpeg"], ["*.gif (unanimated)", "gif"], ["*.bmp", "bmp"]], label="Image format for frames", 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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@@ -177,9 +185,10 @@ with gr.Blocks() as demo:
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reset_btn = gr.Button(value="π§Ή Reinit page", variant="stop", elem_id="reset_button", visible = False)
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with gr.Column():
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download_button = gr.DownloadButton(label="πΎ Download video", visible=False)
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information_msg = gr.HTML(visible
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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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@@ -195,7 +204,8 @@ with gr.Blocks() as demo:
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frame_format,
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version
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], outputs=[
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download_button,
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gallery,
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seed,
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@@ -223,7 +233,7 @@ 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=[
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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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from typing import Optional
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from diffusers import StableVideoDiffusionPipeline
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from diffusers.utils import export_to_video, export_to_gif
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from PIL import Image
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fps25Pipe = StableVideoDiffusionPipeline.from_pretrained(
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os.makedirs(output_folder, exist_ok=True)
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base_count = len(glob(os.path.join(output_folder, "*." + video_format)))
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result_path = os.path.join(output_folder, f"{base_count:06d}." + video_format)
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if video_format == "gif":
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video_path = None
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gif_path = result_path
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video_format = None
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export_to_gif(image=frames, output_gif_path=gif_path, fps=fps_id)
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else:
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video_path = result_path
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gif_path = None
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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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((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=gif_path, visible=video_format == "gif"), gr.update(value=result_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), gr.update(visible=True)
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@spaces.GPU(duration=120)
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def animate_on_gpu(
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bottom = (new_height + output_size[1]) / 2
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# Crop the image
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return resized_image.crop((left, top, right, bottom))
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def reset():
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return [
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motion_bucket_id = gr.Slider(label="Motion bucket id", info="Controls how much motion to add/remove from the image", value=127, minimum=1, maximum=255)
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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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video_format = gr.Radio([["*.mp4", "mp4"], ["*.gif", "gif"]], label="Video format for result", info="File extention", value="mp4", interactive=True)
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frame_format = gr.Radio([["*.webp", "webp"], ["*.png", "png"], ["*.jpeg", "jpeg"], ["*.gif (unanimated)", "gif"], ["*.bmp", "bmp"]], label="Image format for frames", 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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reset_btn = gr.Button(value="π§Ή Reinit page", variant="stop", elem_id="reset_button", visible = False)
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with gr.Column():
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video_output = gr.Video(label="Generated video", autoplay=True)
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gif_output = gr.Image(label="Generated video", format="gif", visible=False)
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download_button = gr.DownloadButton(label="πΎ 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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frame_format,
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version
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], outputs=[
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video_output,
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gif_output,
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download_button,
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gallery,
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seed,
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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_output, gif_output, download_button, gallery, seed, information_msg, reset_btn],
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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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