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lodestones
/
e6laion

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

Instructions to use lodestones/e6laion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lodestones/e6laion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lodestones/e6laion", 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
e6laion
8.53 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
lodestones's picture
lodestones
epoch 44-terminal-snr-e17
93fb799 almost 3 years ago
  • feature_extractor
    epoch 20-terminal-snr-e-7 almost 3 years ago
  • scheduler
    epoch 44-terminal-snr-e17 almost 3 years ago
  • text_encoder
    epoch 44-terminal-snr-e17 almost 3 years ago
  • tokenizer
    epoch 44-terminal-snr-e17 almost 3 years ago
  • unet
    epoch 44-terminal-snr-e17 almost 3 years ago
  • vae
    epoch 44-terminal-snr-e17 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    23 Bytes
    initial commit almost 3 years ago
  • model_index.json
    511 Bytes
    epoch 44-terminal-snr-e17 almost 3 years ago