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stalkeryga
/
f222

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
7

Instructions to use stalkeryga/f222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use stalkeryga/f222 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stalkeryga/f222", 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
f222
5.48 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#6)
d450e23 almost 3 years ago
  • feature_extractor
    Upload diffusers weights over 3 years ago
  • safety_checker
    Upload diffusers weights over 3 years ago
  • scheduler
    Upload diffusers weights over 3 years ago
  • text_encoder
    Upload diffusers weights over 3 years ago
  • tokenizer
    Upload diffusers weights 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 diffusers weights over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    68 Bytes
    Update README.md over 3 years ago
  • model_index.json
    541 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#6) almost 3 years ago