Spaces:
Running
on
Zero
Running
on
Zero
Martim-Ramos-Neural
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -37,12 +37,12 @@ feature_extractor = CLIPFeatureExtractor.from_pretrained("openai/clip-vit-base-p
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# Function
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@spaces.GPU(duration=30,queue=False)
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def generate_image(prompt, base="Realistic", motion="", step=8, resolution="Square",
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global step_loaded
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global base_loaded
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global motion_loaded
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print(prompt, base, step, resolution
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# Set resolution
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if resolution == "Square":
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@@ -71,12 +71,11 @@ def generate_image(prompt, base="Realistic", motion="", step=8, resolution="Squa
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def progress_callback(i, t, z):
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progress((i+1, step))
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-
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output = pipe(prompt=prompt, guidance_scale=1.2, num_inference_steps=step, width=width, height=height, num_frames=num_frames, callback=progress_callback, callback_steps=1)
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name = str(uuid.uuid4()).replace("-", "")
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path = f"/tmp/{name}.mp4"
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export_to_video(output.frames, path, fps=10)
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return path
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@@ -138,14 +137,6 @@ with gr.Blocks(css="style.css") as demo:
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value="Square",
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interactive=True
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)
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select_duration = gr.Slider(
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label='Video Duration (seconds)',
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minimum=1,
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maximum=30,
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step=1,
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value=5,
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interactive=True
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)
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submit = gr.Button(
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scale=1,
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variant='primary'
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@@ -164,7 +155,7 @@ with gr.Blocks(css="style.css") as demo:
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prompt.submit
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],
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fn=generate_image,
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inputs=[prompt, select_base, select_motion, select_step, select_resolution
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outputs=[video],
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api_name="instant_video",
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queue=False
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# Function
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@spaces.GPU(duration=30,queue=False)
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def generate_image(prompt, base="Realistic", motion="", step=8, resolution="Square", progress=gr.Progress()):
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global step_loaded
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global base_loaded
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global motion_loaded
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print(prompt, base, step, resolution)
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# Set resolution
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if resolution == "Square":
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def progress_callback(i, t, z):
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progress((i+1, step))
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output = pipe(prompt=prompt, guidance_scale=1.2, num_inference_steps=step, width=width, height=height, callback=progress_callback, callback_steps=1)
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name = str(uuid.uuid4()).replace("-", "")
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path = f"/tmp/{name}.mp4"
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export_to_video(output.frames[0], path, fps=10)
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return path
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value="Square",
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interactive=True
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)
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submit = gr.Button(
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scale=1,
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variant='primary'
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prompt.submit
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],
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fn=generate_image,
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inputs=[prompt, select_base, select_motion, select_step, select_resolution],
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outputs=[video],
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api_name="instant_video",
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queue=False
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