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AbstractPhil
/
SD15-Surge-V1

Diffusers
Safetensors
OmegaDiffusionPipeline
Model card Files Files and versions
xet
Community

Instructions to use AbstractPhil/SD15-Surge-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AbstractPhil/SD15-Surge-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("AbstractPhil/SD15-Surge-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
SD15-Surge-V1
2.13 GB
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  • 1 contributor
History: 76 commits
AbstractPhil's picture
AbstractPhil
Update 1model_cascade.py
3ef487b verified about 1 year ago
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  • .gitattributes
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  • 1model_cascade.py
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  • README.md
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  • ada_surge.py
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  • model_index.json
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