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Motif-Technologies
/
Motif-VAE

Image-to-Image
Diffusers
Safetensors
PyTorch
video-vae
vae
video-generation
tokenizer
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use Motif-Technologies/Motif-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Motif-Technologies/Motif-VAE with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Motif-Technologies/Motif-VAE", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
Motif-VAE
4.99 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
gkalstn0's picture
gkalstn0
refactor(modeling): self-consistent block/function names; drop unused attrs (#2)
8da5fb7 6 days ago
  • assets
    readme: add architecture figure to the Architecture section 13 days ago
  • .gitattributes
    2.14 kB
    readme: add architecture figure to the Architecture section 13 days ago
  • README.md
    10.6 kB
    readme: add architecture figure to the Architecture section 13 days ago
  • config.json
    4.49 kB
    MotifVAE about 1 month ago
  • diffusion_pytorch_model.safetensors
    4.98 GB
    xet
    MotifVAE about 1 month ago
  • modeling_motifvae.py
    39.5 kB
    refactor(modeling): self-consistent block/function names; drop unused attrs (#2) 6 days ago