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coeuslearning
/
m_womensclothingoutput

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

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

  • Libraries
  • Diffusers

    How to use coeuslearning/m_womensclothingoutput with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("coeuslearning/m_womensclothingoutput", 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
m_womensclothingoutput
4.31 GB
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  • 1 contributor
History: 2 commits
coeuslearning's picture
coeuslearning
End of training
5012687 almost 3 years ago
  • feature_extractor
    End of training almost 3 years ago
  • logs
    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
    1.48 kB
    initial commit almost 3 years ago
  • model_index.json
    543 Bytes
    End of training almost 3 years ago