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yltylt
/
owlbear

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

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

  • Libraries
  • Diffusers

    How to use yltylt/owlbear 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("yltylt/owlbear")
    
    prompt = "wow owlbear"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
owlbear
688 MB
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  • 1 contributor
History: 2 commits
yltylt's picture
yltylt
Upload folder using huggingface_hub
98d8c02 verified over 1 year ago
  • samples
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.86 kB
    Upload folder using huggingface_hub over 1 year ago
  • owlbear.safetensors
    172 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • owlbear_000000250.safetensors
    172 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • owlbear_000000500.safetensors
    172 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • owlbear_000000750.safetensors
    172 MB
    xet
    Upload folder using huggingface_hub over 1 year ago