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williamberman
/
dreambooth_me_upscale

Diffusers
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use williamberman/dreambooth_me_upscale with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("williamberman/dreambooth_me_upscale", 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
dreambooth_me_upscale / checkpoint-2000
7.48 GB
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  • 1 contributor
History: 1 commit
williamberman's picture
williamberman
init
5b91a01 almost 3 years ago
  • unet
    init almost 3 years ago
  • optimizer.bin
    2.5 GB
    xet
    init almost 3 years ago
  • random_states_0.pkl
    14.7 kB
    xet
    init almost 3 years ago
  • scheduler.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    563 Bytes
    xet
    init almost 3 years ago
  • text_encoder_lora_layers.bin
    9.49 MB
    xet
    init almost 3 years ago