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multimodalart
/
cat-toy-z

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use multimodalart/cat-toy-z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use multimodalart/cat-toy-z with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("multimodalart/cat-toy-z")
    
    prompt = "cttoyz"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
cat-toy-z
1.23 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
multimodalart's picture
multimodalart HF Staff
Update README.md
bd2a4e6 over 3 years ago
  • checkpoint-500
    Upload with huggingface_hub over 3 years ago
  • concept_images
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  • feature_extractor
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  • logs
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  • safety_checker
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  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.06 kB
    Update README.md over 3 years ago
  • model_index.json
    542 Bytes
    Upload with huggingface_hub over 3 years ago
  • pytorch_lora_weights.bin
    3.28 MB
    xet
    Upload with huggingface_hub over 3 years ago
  • token_identifier.txt
    6 Bytes
    Upload the model cat-toy-z over 3 years ago