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on
T4
Running
on
T4
Update app.py (#3)
Browse files- Update app.py (0c0ea5ac636acbd5b680f7af375dbf2302660a92)
app.py
CHANGED
@@ -47,7 +47,7 @@ demo_inputs = [
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gr.inputs.Dropdown(
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label="Model",
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choices=model_list,
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-
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),
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gr.inputs.Textbox(
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label="Prompt",
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@@ -101,7 +101,7 @@ examples = [
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["sd-dreambooth-library/mr-potato-head", "sks mr potato head is surfing in the forest.", 5, 416, 416, 50, 7.5],
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]
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-
description = "
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title = "Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation"
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demo_app = gr.Interface(
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gr.inputs.Dropdown(
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label="Model",
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choices=model_list,
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value="Tune-A-Video-library/a-man-is-surfing",
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),
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gr.inputs.Textbox(
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label="Prompt",
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["sd-dreambooth-library/mr-potato-head", "sks mr potato head is surfing in the forest.", 5, 416, 416, 50, 7.5],
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]
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+
description = "This is an application that generates video based on a text prompt. To get started, simply input text. The default model in the dropdown is a generic model that you can generate anything. Alternatively, for more photorealistic generations, you can use other models in the dropdown. These models are Dreambooth models, and they're trained with a specific object name, so make sure you know what the object is called. You can find an example prompt for a dreambooth model in Examples section right below the interface."
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title = "Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation"
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demo_app = gr.Interface(
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