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Ashmotv
/
transformation_lora

Image-to-Video
Diffusers
MiniMax H3
text-to-video
lora
transformation
motion
Model card Files Files and versions
xet
Community
1

Instructions to use Ashmotv/transformation_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Ashmotv/transformation_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("minimax-h3", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Ashmotv/transformation_lora")
    
    prompt = "Tr@nsf0rmation_style"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")
    
    output = pipe(image=input_image, prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
transformation_lora / samples
52.4 MB
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  • 1 contributor
History: 1 commit
Ashmotv's picture
Ashmotv
Upload showcase sample videos
6424a73 verified 17 days ago
  • sample_01.mp4
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  • sample_08.mp4
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  • sample_10.mp4
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