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Benevolent
/
VeryBadImageNegative

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

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

  • Libraries
  • Diffusers

    How to use Benevolent/VeryBadImageNegative with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Benevolent/VeryBadImageNegative")
    
    prompt = "UNICODE\u0000\u0000 \u0000r\u0000e\u0000f\u0000a\u0000m\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000f\u0000a\u0000m\u0000-\u0000l\u0000o\u0000r\u0000a\u0000-\u0000n\u0000o\u0000c\u0000h\u0000e\u0000k\u0000a\u0000i\u0000s\u0000e\u0000r\u0000:\u00001\u0000>\u0000,\u0000"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
VeryBadImageNegative / images
75.4 kB
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  • 1 contributor
History: 1 commit
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Benevolent
Add 2 files
3be3372 verified over 2 years ago
  • D9263EEF46BAB4401E046E8FFA4EAD81F4431A375C42C5B7087F62A7E14AA677.jpeg
    75.4 kB
    xet
    Add 2 files over 2 years ago