Update app.py
Browse files
app.py
CHANGED
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@@ -155,7 +155,7 @@ cache_pipeline = {
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@spaces.GPU
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def infer(
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base_model, variant, prompt, seed=0, randomize_seed=True,
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):
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# if pipe_dict[base_model][variant] is None:
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# if base_model == "ModelScope T2V":
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@@ -246,42 +246,50 @@ examples = [
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"ModelScope T2V",
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"LAION-aes",
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"Aerial uhd 4k view. mid-air flight over fresh and clean mountain river at sunny summer morning. Green trees and sun rays on horizon. Direct on sun.",
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],
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["ModelScope T2V", "Anime", "Timelapse misty mountain landscape"],
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[
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"ModelScope T2V",
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"WebVid",
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"Back of woman in shorts going near pure creek in beautiful mountains.",
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],
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[
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"ModelScope T2V",
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"3D Cartoon",
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"A rotating pandoro (a traditional italian sweet yeast bread, most popular around christmas and new year) being eaten in time-lapse.",
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],
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[
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"ModelScope T2V",
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"Realistic",
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"Slow motion avocado with a stone falls and breaks into 2 parts with splashes",
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],
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[
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"AnimateDiff (
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"LAION-aes",
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"Slow motion of delicious salmon sachimi set with green vegetables leaves served on wood plate. make homemade japanese food at home.-dan",
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],
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[
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"AnimateDiff (
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"WebVid",
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"Blooming meadow panorama zoom-out shot heavenly clouds and upcoming thunderstorm in mountain range harz, germany.",
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],
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[
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"AnimateDiff (RealisticVision)",
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"LAION-aes",
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"A young woman in a yellow sweater uses vr glasses, sitting on the shore of a pond on a background of dark waves. a strong wind develops her hair, the sun's rays are reflected from the water.",
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],
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[
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"AnimateDiff (RealisticVision)",
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"LAION-aes",
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"Female running at sunset. healthy fitness concept",
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],
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]
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@@ -391,7 +399,7 @@ with gr.Blocks(css=css) as demo:
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gr.Examples(
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examples=examples,
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inputs=[base_model, variant_dropdown, prompt],
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cache_examples=True,
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fn=infer,
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outputs=[result],
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@@ -403,9 +411,9 @@ with gr.Blocks(css=css) as demo:
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base_model,
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variant_dropdown,
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prompt,
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seed,
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randomize_seed,
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num_inference_steps,
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],
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outputs=[result],
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)
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@spaces.GPU
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def infer(
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base_model, variant, prompt, num_inference_steps=4, seed=0, randomize_seed=True,
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):
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# if pipe_dict[base_model][variant] is None:
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# if base_model == "ModelScope T2V":
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"ModelScope T2V",
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"LAION-aes",
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"Aerial uhd 4k view. mid-air flight over fresh and clean mountain river at sunny summer morning. Green trees and sun rays on horizon. Direct on sun.",
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4
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],
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["ModelScope T2V", "Anime", "Timelapse misty mountain landscape"],
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[
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"ModelScope T2V",
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"WebVid",
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"Back of woman in shorts going near pure creek in beautiful mountains.",
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4
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],
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[
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"ModelScope T2V",
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"3D Cartoon",
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"A rotating pandoro (a traditional italian sweet yeast bread, most popular around christmas and new year) being eaten in time-lapse.",
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4
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],
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[
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"ModelScope T2V",
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"Realistic",
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"Slow motion avocado with a stone falls and breaks into 2 parts with splashes",
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4
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],
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[
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+
"AnimateDiff (RealisticVision)",
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"LAION-aes",
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"Slow motion of delicious salmon sachimi set with green vegetables leaves served on wood plate. make homemade japanese food at home.-dan",
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8
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],
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[
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+
"AnimateDiff (RealisticVision)",
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"WebVid",
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"Blooming meadow panorama zoom-out shot heavenly clouds and upcoming thunderstorm in mountain range harz, germany.",
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+
8
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],
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[
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"AnimateDiff (RealisticVision)",
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"LAION-aes",
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"A young woman in a yellow sweater uses vr glasses, sitting on the shore of a pond on a background of dark waves. a strong wind develops her hair, the sun's rays are reflected from the water.",
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+
8
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],
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[
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"AnimateDiff (RealisticVision)",
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"LAION-aes",
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"Female running at sunset. healthy fitness concept",
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8
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],
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]
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gr.Examples(
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examples=examples,
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inputs=[base_model, variant_dropdown, prompt, num_inference_steps],
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cache_examples=True,
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fn=infer,
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outputs=[result],
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base_model,
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variant_dropdown,
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prompt,
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num_inference_steps,
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seed,
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randomize_seed,
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],
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outputs=[result],
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)
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