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Remade-AI
/
Crush

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/Crush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Remade-AI/Crush 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/Crush")
    
    prompt = "The video begins with a tank. A hydraulic press positioned above slowly descends towards the tank. Upon contact, the hydraulic press c5us4 crushes it, deforming and flattening the tank, causing the tank to collapse inward until the tank is no longer recognizable."
    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
  • Kaggle
  • Local Apps
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Crush / workflow
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  • 1 contributor
History: 1 commit
Remade's picture
Remade
Upload 2 files
6af0eb2 verified about 1 year ago
  • wan_img2vid_lora_workflow.json
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    Upload 2 files about 1 year ago
  • workflow_screenshot.png
    610 kB
    xet
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