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gatilin
/
nitrofusion2-dit-refiners

Text-to-Image
Diffusers
Safetensors
dit
z-image
mmdit
refiner
Model card Files Files and versions
xet
Community

Instructions to use gatilin/nitrofusion2-dit-refiners with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use gatilin/nitrofusion2-dit-refiners with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("gatilin/nitrofusion2-dit-refiners", 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 Settings
  • Draw Things
  • DiffusionBee
nitrofusion2-dit-refiners
1.43 GB
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  • 1 contributor
History: 2 commits
gatilin's picture
gatilin
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  • .gitattributes
    1.52 kB
    initial commit about 20 hours ago
  • LICENSE
    11.4 kB
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  • NOTICE
    253 Bytes
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  • README.md
    6.87 kB
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  • component.py
    1.96 kB
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  • component_config.json
    982 Bytes
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  • config.json
    473 Bytes
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  • extraction.json
    640 Bytes
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  • model.safetensors
    1.43 GB
    xet
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  • tensor_mapping.json
    14.3 kB
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  • validation.json
    3.21 kB
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