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Evel
/
YoShin

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • Diffusers

    How to use Evel/YoShin with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Evel/YoShin", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add `scale_factor` to vae config.

#5 opened over 3 years ago by
valhalla

Add `clip_sample=False` to scheduler to make model compatible with DDIM.

#4 opened over 3 years ago by
patrickvonplaten

Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default

#3 opened over 3 years ago by
patrickvonplaten
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