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jxuhf
/
Fine-Tuned-Stable-Diffusion-DreamBooth

Diffusers
Model card Files Files and versions
xet
Community

Instructions to use jxuhf/Fine-Tuned-Stable-Diffusion-DreamBooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jxuhf/Fine-Tuned-Stable-Diffusion-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("jxuhf/Fine-Tuned-Stable-Diffusion-DreamBooth", 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
Fine-Tuned-Stable-Diffusion-DreamBooth / output-models /2000
4.27 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
jean1.yu
commit from jxuhf
3ab117a over 3 years ago
  • scheduler
    commit from jxuhf over 3 years ago
  • text_encoder
    commit from jxuhf over 3 years ago
  • tokenizer
    commit from jxuhf over 3 years ago
  • unet
    commit from jxuhf over 3 years ago
  • vae
    commit from jxuhf over 3 years ago
  • args.json
    1.87 kB
    commit from jxuhf over 3 years ago
  • model_index.json
    416 Bytes
    commit from jxuhf over 3 years ago