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mfmotta
/
mm_model

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use mfmotta/mm_model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mfmotta/mm_model", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of mfm"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
mm_model / logs /dreambooth
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  • 1 contributor
History: 1 commit
mfmotta's picture
mfmotta
End of training
d3b553c verified about 2 years ago
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