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Remade-AI
/
360-Orbit

Image-to-Video
Diffusers
English
text-to-image
lora
template:diffusion-lora
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xet
Community
2

Instructions to use Remade-AI/360-Orbit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

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  • Diffusers

    How to use Remade-AI/360-Orbit 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/360-Orbit")
    
    prompt = "A biker, with a red bandana and black leather jacket, sits astride a motorcycle in a workshop. He looks at the camera with a serious expression. The camera performs an 0rb4it 360 degree orbit, circling around him and the motorcycle, showing the workshop interior including tools, before returning to the front view. Throughout the 0rb4it 360 degree orbit, the biker remains seated on the bike."
    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")
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Is it possible to start wan2.2 training?

#2 opened 9 months ago by
gzszefgsgdsg

Image to Video starting with an existing image

#1 opened 11 months ago by
offmybach
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