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wuaszdc
/
model-back-60

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

Instructions to use wuaszdc/model-back-60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wuaszdc/model-back-60 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("wuaszdc/model-back-60", 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
model-back-60
18.8 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
wuaszdc's picture
wuaszdc
End of training
3077732 almost 3 years ago
  • checkpoint-20000
    End of training almost 3 years ago
  • feature_extractor
    End of training almost 3 years ago
  • logs
    End of training almost 3 years ago
  • safety_checker
    End of training almost 3 years ago
  • scheduler
    End of training almost 3 years ago
  • text_encoder
    End of training almost 3 years ago
  • tokenizer
    End of training almost 3 years ago
  • unet
    End of training almost 3 years ago
  • vae
    End of training almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • model_index.json
    582 Bytes
    End of training almost 3 years ago