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waterplayfire
/
MyModel

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use waterplayfire/MyModel with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("waterplayfire/MyModel", 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
MyModel
5.48 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
3b0dee2 about 3 years ago
  • feature_extractor
    new over 3 years ago
  • safety_checker
    new over 3 years ago
  • scheduler
    new over 3 years ago
  • text_encoder
    new over 3 years ago
  • tokenizer
    new over 3 years ago
  • unet
    new over 3 years ago
  • vae
    new over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    273 Bytes
    Update README.md over 3 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. about 3 years ago
  • v1-variants-scores.jpg
    71.2 kB
    new over 3 years ago