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DmitryMLC
/
yk

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Diffusers

    How to use DmitryMLC/yk with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DmitryMLC/yk", 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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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add `scale_factor` to vae config.

#3 opened over 3 years ago by
valhalla

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

#2 opened over 3 years ago by
patrickvonplaten

Training parameters in detail

#1 opened over 3 years ago by
yichenyanyu
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