import gradio as gr from gradio_client import Client import os MORE = """ ## TRY Other Models ### JARVIS: Your VOICE Assistant -> https://huggingface.co/spaces/KingNish/JARVIS ### Instant Image: 4k images in 5 Second -> https://huggingface.co/spaces/KingNish/Instant-Image """ # Gradio Client client = Client("KingNish/Instant-Video") # Function def generate_image(prompt, base="Realistic", motion="", step=8, progress=gr.Progress()): try: result = client.predict( prompt=prompt, base=base, motion=motion, step=step, api_name="/generate_image_1" ) video_path = result["video"] return video_path except ValueError as e: # Handle GPU quota exceeded error if 'You have exceeded your GPU quota' in str(e): raise gr.Error("GPU Quota exceeded. Please try again later.") else: raise gr.Error(str(e)) # Gradio Interface with gr.Blocks(css="style.css") as demo: gr.HTML( "

Instant⚡Video

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You may change the steps from 4 to 8, if you didn't get satisfied results.

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First Video Generating takes time then Videos generate faster.

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To get best results Make Sure to Write prompts in style as Given in Examples

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Must Share your Best Results with Community - Click HERE

" ) with gr.Group(): with gr.Row(): prompt = gr.Textbox( label='Prompt' ) with gr.Row(): select_base = gr.Dropdown( label='Base model', choices=[ "Cartoon", "Realistic", "3d", "Anime", ], value="Realistic", interactive=True ) select_motion = gr.Dropdown( label='Motion', choices=[ ("Default", ""), ("Zoom in", "guoyww/animatediff-motion-lora-zoom-in"), ("Zoom out", "guoyww/animatediff-motion-lora-zoom-out"), ("Tilt up", "guoyww/animatediff-motion-lora-tilt-up"), ("Tilt down", "guoyww/animatediff-motion-lora-tilt-down"), ("Pan left", "guoyww/animatediff-motion-lora-pan-left"), ("Pan right", "guoyww/animatediff-motion-lora-pan-right"), ("Roll left", "guoyww/animatediff-motion-lora-rolling-anticlockwise"), ("Roll right", "guoyww/animatediff-motion-lora-rolling-clockwise"), ], value="guoyww/animatediff-motion-lora-zoom-in", interactive=True ) select_step = gr.Dropdown( label='Inference steps', choices=[ ('1-Step', 1), ('2-Step', 2), ('4-Step', 4), ('8-Step', 8), ], value=4, interactive=True ) submit = gr.Button( scale=1, variant='primary' ) video = gr.Video( label='AnimateDiff-Lightning', autoplay=True, height=512, width=512, elem_id="video_output" ) prompt.submit( fn=generate_image, inputs=[prompt, select_base, select_motion, select_step], outputs=video, ) submit.click( fn=generate_image, inputs=[prompt, select_base, select_motion, select_step], outputs=video, ) gr.Examples( examples=[ ["Focus: Eiffel Tower (Animate: Clouds moving)"], #Atmosphere Movement Example ["Focus: Trees In forest (Animate: Lion running)"], #Object Movement Example ["Focus: Astronaut in Space"], #Normal ["Focus: Group of Birds in sky (Animate: Birds Moving) (Shot From distance)"], #Camera distance ["Focus: Statue of liberty (Shot from Drone) (Animate: Drone coming toward statue)"], #Camera Movement ["Focus: Panda in Forest (Animate: Drinking Tea)"], #Doing Something ["Focus: Kids Playing (Season: Winter)"], #Atmosphere or Season {"Focus: Cars in Street (Season: Rain, Daytime) (Shot from Distance) (Movement: Cars running)"} #Mixture ], fn=generate_image, inputs=[prompt], outputs=video, cache_examples=True, ) demo.queue().launch()