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satani
/
dreambooth

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use satani/dreambooth with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("satani/dreambooth", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks boy"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth / tokenizer
1.59 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
satani's picture
satani
End of training
9643c2d over 2 years ago
  • merges.txt
    525 kB
    End of training over 2 years ago
  • special_tokens_map.json
    588 Bytes
    End of training over 2 years ago
  • tokenizer_config.json
    705 Bytes
    End of training over 2 years ago
  • vocab.json
    1.06 MB
    End of training over 2 years ago