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RuschMeyer
/
c3l3-lora

Image-to-Video
Diffusers
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community

Instructions to use RuschMeyer/c3l3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use RuschMeyer/c3l3-lora 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-720P-Diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("RuschMeyer/c3l3-lora")
    
    prompt = "c3l3"
    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
  • Draw Things
c3l3-lora
1.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
RuschMeyer's picture
RuschMeyer
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  • c3l3.safetensors
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