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Update app.py
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app.py
CHANGED
@@ -10,10 +10,6 @@ from huggingface_hub import hf_hub_download
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from safetensors.torch import load_file
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from PIL import Image
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MORE = """ ## TRY Other Demos
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### Instant Image: 4k images in 5 Second -> https://huggingface.co/spaces/KingNish/Instant-Image
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"""
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# Constants
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bases = {
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"Cartoon": "frankjoshua/toonyou_beta6",
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@@ -79,12 +75,8 @@ def generate_image(prompt, base="Realistic", motion="", step=8, progress=gr.Prog
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# Gradio Interface
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with gr.Blocks(css="style.css") as demo:
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gr.HTML(
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"<h1><center>
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"<p><center><strong>First Video Generating takes time then Videos generate faster.</p>" +
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"<p><center>To get best results Make Sure to Write prompts in style as Given in Examples/p>" +
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"<p><a href='https://huggingface.co/spaces/KingNish/Instant-Video/discussions/1' >Must Share you Best Results with Community - Click HERE<a></p>"
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)
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with gr.Group():
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with gr.Row():
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prompt = gr.Textbox(
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@@ -152,23 +144,6 @@ with gr.Blocks(css="style.css") as demo:
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queue = False
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)
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gr.Examples(
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examples=[
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["Focus: Eiffel Tower (Animate: Clouds moving)"], #Atmosphere Movement Example
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["Focus: Trees In forest (Animate: Lion running)"], #Object Movement Example
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["Focus: Astronaut in Space"], #Normal
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["Focus: Group of Birds in sky (Animate: Birds Moving) (Shot From distance)"], #Camera distance
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["Focus: Statue of liberty (Shot from Drone) (Animate: Drone coming toward statue)"], #Camera Movement
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["Focus: Panda in Forest (Animate: Drinking Tea)"], #Doing Something
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["Focus: Kids Playing (Season: Winter)"], #Atmosphere or Season
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{"Focus: Cars in Street (Season: Rain, Daytime) (Shot from Distance) (Movement: Cars running)"} #Mixture
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],
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fn=generate_image,
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inputs=[prompt],
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outputs=[video],
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cache_examples="lazy",
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)
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demo.queue().launch()
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Translate
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from safetensors.torch import load_file
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from PIL import Image
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# Constants
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bases = {
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"Cartoon": "frankjoshua/toonyou_beta6",
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# Gradio Interface
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with gr.Blocks(css="style.css") as demo:
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gr.HTML(
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"<h1><center>Textual Imagination : A Text To Video Synthesis</center></h1>"
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)
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with gr.Group():
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with gr.Row():
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prompt = gr.Textbox(
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queue = False
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)
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demo.queue().launch()
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Translate
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