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TheRafal
/
everything-v2

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Diffusers
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xet
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Instructions to use TheRafal/everything-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TheRafal/everything-v2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TheRafal/everything-v2", 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
everything-v2
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  • 2 contributors
History: 12 commits
TheRafal's picture
TheRafal
Update README.md
2f85dc4 over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.63 kB
    Update README.md over 2 years ago
  • everything-v2-a.ckpt

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.HalfStorage"

    What is a pickle import?

    2.58 GB
    xet
    First version of the model about 3 years ago
  • everything-v2-a.yaml
    1.82 kB
    First version of the model about 3 years ago
  • negative_prompt.txt
    2.42 kB
    Create negative_prompt.txt about 3 years ago