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hakurei
/
artstation-diffusion

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community
5

Instructions to use hakurei/artstation-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use hakurei/artstation-diffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("hakurei/artstation-diffusion", 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
artstation-diffusion
5.07 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)
0686c53 almost 3 years ago
  • feature_extractor
    Add weights over 3 years ago
  • safety_checker
    Add weights over 3 years ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#3) over 3 years ago
  • text_encoder
    Add weights over 3 years ago
  • tokenizer
    Add weights over 3 years ago
  • unet
    Add weights over 3 years ago
  • vae
    Add weights over 3 years ago
  • .gitattributes
    2.08 kB
    Add weights over 3 years ago
  • README.md
    2.25 kB
    Update README.md over 3 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5) almost 3 years ago