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NeuralGL
/
nothuman

Text-to-Image
Diffusers
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use NeuralGL/nothuman with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("NeuralGL/nothuman")
    
    prompt = "A  fat bald man, wearing suit, big scary smile, looks like politician, suit, full-body, in style of NotHuman"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
nothuman
244 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
NeuralGL's picture
NeuralGL
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  • .gitattributes
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  • README.md
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  • dataset.toml
    282 Bytes
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  • nothuman-000002.safetensors
    39.8 MB
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  • nothuman-000004.safetensors
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  • nothuman-000006.safetensors
    39.8 MB
    xet
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  • nothuman-000008.safetensors
    39.8 MB
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  • nothuman-000010.safetensors
    39.8 MB
    xet
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  • nothuman.safetensors
    39.8 MB
    xet
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  • sample_prompts.txt
    202 Bytes
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  • train.sh
    1.43 kB
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