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Paracompact
/
Asriel

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
4

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

  • Libraries
  • Diffusers

    How to use Paracompact/Asriel with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Paracompact/Asriel", 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
Asriel
4.27 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
06b6424 almost 3 years ago
  • logs
    Upload with huggingface_hub over 3 years ago
  • scheduler
    Upload with huggingface_hub over 3 years ago
  • text_encoder
    Upload with huggingface_hub over 3 years ago
  • tokenizer
    Upload with huggingface_hub over 3 years ago
  • unet
    Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#1) over 3 years ago
  • vae
    Upload with huggingface_hub over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • model_index.json
    526 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4) almost 3 years ago