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cyberoleg
/
explosion_v1

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
Model card Files Files and versions
xet
Community

Instructions to use cyberoleg/explosion_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use cyberoleg/explosion_v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("cyberoleg/explosion_v1", 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
explosion_v1
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  • 1 contributor
History: 2 commits
cyberoleg's picture
cyberoleg
End of training
e0f3d92 over 2 years ago
  • scheduler
    End of training over 2 years ago
  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    571 Bytes
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  • model_index.json
    734 Bytes
    End of training over 2 years ago