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lenML
/
DeepNegativeXL

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

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

  • Libraries
  • Diffusers

    How to use lenML/DeepNegativeXL with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lenML/DeepNegativeXL", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "vampire bride,film photography aesthetic,the delicate texture of lace veil gently obscuring her face,long blonde hair,looking at viewer,eye eye contact,sapphire red eyes,choker,devil smile,dynamic composition,skin texture,from above,close-up,sharp focus,horror \\(theme\\),dutch angle,"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
DeepNegativeXL
11.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
lenML's picture
lenML
Update README.md
d45c042 verified about 2 years ago
  • images
    Add 6 files about 2 years ago
  • .gitattributes
    2.31 kB
    initial commit about 2 years ago
  • DeepNegative_xl_v1.safetensors
    263 kB
    xet
    Add 6 files about 2 years ago
  • README.md
    4.09 kB
    Update README.md about 2 years ago