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Remade-AI
/
Car-chase

Image-to-Video
Diffusers
English
text-to-image
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use Remade-AI/Car-chase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Remade-AI/Car-chase with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image, export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Remade-AI/Car-chase")
    
    prompt = "The video depicts a dramatic nighttime c4r ch4s3 car chase unfolding on a winding mountain road. A dark sports car, with its headlights blazing, speeds along the road, followed closely by a blue motorcycle. A helicopter hovers above the car and motorcycle, shining a spotlight. The camera begins positioned low and slightly behind the car's rear passenger side, capturing the pursuit by the motorcycle and helicopter. The camera pans slightly, tracking the car as it drifts into a turn, revealing the helicopter still in pursuit, emphasizing the ongoing c4r ch4s3 car chase."
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
    
    image = pipe(image=input_image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
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Car-chase
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  • 1 contributor
History: 4 commits
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Remade
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  • README.md
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  • car_chase.safetensors
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    xet
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