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nexuslrf
/
nd-diffusion

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Diffusers
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StableDiffusionPipeline
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xet
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Instructions to use nexuslrf/nd-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nexuslrf/nd-diffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nexuslrf/nd-diffusion", 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
nd-diffusion / tokenizer
1.59 MB
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  • 1 contributor
History: 1 commit
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nexuslrf
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7111f74 verified about 2 years ago
  • added_tokens.json
    57 Bytes
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  • merges.txt
    525 kB
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  • special_tokens_map.json
    133 Bytes
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  • tokenizer_config.json
    907 Bytes
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  • vocab.json
    1.06 MB
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