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dreambooth-hackathon
/
glxy-galaxy

Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
science
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use dreambooth-hackathon/glxy-galaxy with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dreambooth-hackathon/glxy-galaxy", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of glxy galaxy"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened 8 months ago by
SFconvertbot

Librarian Bot: Update dataset YAML metadata for model

#2 opened about 3 years ago by
librarian-bot

Add `scale_factor` to vae config.

#1 opened over 3 years ago by
valhalla
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