Spaces:
Runtime error
Runtime error
Disable API
#23
by
hysts
HF staff
- opened
app.py
CHANGED
@@ -29,7 +29,7 @@ true_for_shared_ui = False #This will be true only if you are in a shared UI
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if(is_spaces):
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true_for_shared_ui = True if "zcxu-eric/magicanimate" in os.environ['SPACE_ID'] else False
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-
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animator = MagicAnimate()
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def animate(reference_image, motion_sequence_state, seed=1, steps=25, guidance_scale=7.5):
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@@ -54,11 +54,11 @@ with gr.Blocks() as demo:
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</div>
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""")
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animation = gr.Video(format="mp4", label="Animation Results", autoplay=True)
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-
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with gr.Row():
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reference_image = gr.Image(label="Reference Image")
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motion_sequence = gr.Video(format="mp4", label="Motion Sequence",max_length=5)
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-
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with gr.Column():
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random_seed = gr.Textbox(label="Random seed", value=1, info="default: -1")
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sampling_steps = gr.Textbox(label="Sampling steps", value=25, info="default: 25")
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@@ -69,10 +69,10 @@ with gr.Blocks() as demo:
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reader = imageio.get_reader(video)
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fps = reader.get_meta_data()['fps']
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return video
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-
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def read_image(image, size=512):
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return np.array(Image.fromarray(image).resize((size, size)))
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-
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# when user uploads a new video
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motion_sequence.upload(
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read_video,
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@@ -90,7 +90,7 @@ with gr.Blocks() as demo:
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# when the `submit` button is clicked
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submit.click(
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animate,
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[reference_image, motion_sequence, random_seed, sampling_steps, guidance_scale],
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animation
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)
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@@ -110,5 +110,5 @@ with gr.Blocks() as demo:
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cache_examples=true_for_shared_ui
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)
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-
demo.queue(max_size=15)
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-
demo.launch(share=True)
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if(is_spaces):
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true_for_shared_ui = True if "zcxu-eric/magicanimate" in os.environ['SPACE_ID'] else False
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+
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animator = MagicAnimate()
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def animate(reference_image, motion_sequence_state, seed=1, steps=25, guidance_scale=7.5):
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</div>
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""")
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animation = gr.Video(format="mp4", label="Animation Results", autoplay=True)
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+
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with gr.Row():
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reference_image = gr.Image(label="Reference Image")
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motion_sequence = gr.Video(format="mp4", label="Motion Sequence",max_length=5)
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+
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with gr.Column():
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random_seed = gr.Textbox(label="Random seed", value=1, info="default: -1")
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sampling_steps = gr.Textbox(label="Sampling steps", value=25, info="default: 25")
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reader = imageio.get_reader(video)
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fps = reader.get_meta_data()['fps']
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return video
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+
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def read_image(image, size=512):
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return np.array(Image.fromarray(image).resize((size, size)))
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+
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# when user uploads a new video
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motion_sequence.upload(
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read_video,
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# when the `submit` button is clicked
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submit.click(
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animate,
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[reference_image, motion_sequence, random_seed, sampling_steps, guidance_scale],
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animation
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)
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cache_examples=true_for_shared_ui
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)
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demo.queue(max_size=15, api_open=False)
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demo.launch(share=True, show_api=False)
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