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Bloof
/
unsettling-analogish

Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Bloof/unsettling-analogish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Bloof/unsettling-analogish 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("Bloof/unsettling-analogish")
    
    prompt = "a ghostly image of a dog walking down a wooden walkway in the style of <s0><s1>"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
unsettling-analogish
382 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Bloof's picture
Bloof
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