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yevvonlim
/
mam

Diffusers
Safetensors
motion_encoder
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use yevvonlim/mam with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yevvonlim/mam", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
mam
50.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
yevvonlim's picture
yevvonlim
End of training
9d68c5d verified about 1 year ago
  • checkpoint-1000
    End of training about 1 year ago
  • checkpoint-10000
    End of training about 1 year ago
  • checkpoint-14500
    End of training about 1 year ago
  • checkpoint-15000
    End of training about 1 year ago
  • checkpoint-19500
    End of training about 1 year ago
  • checkpoint-20000
    End of training about 1 year ago
  • checkpoint-500
    End of training about 1 year ago
  • checkpoint-9500
    End of training about 1 year ago
  • validation_images
    End of training about 1 year ago
  • .gitattributes
    6.92 kB
    End of training about 1 year ago
  • config.json
    218 Bytes
    End of training about 1 year ago
  • diffusion_pytorch_model.safetensors
    5.16 GB
    xet
    End of training about 1 year ago
  • model.safetensors
    180 MB
    xet
    End of training about 1 year ago