Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

bardofcodes
/
pattern_analogies

Image-to-Image
Diffusers
Safetensors
PatternAnalogyTrifuser
Editing
Analogy
Patterns
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use bardofcodes/pattern_analogies with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("bardofcodes/pattern_analogies", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
pattern_analogies / analogy_input_processor
4.09 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
bardofcodes's picture
bardofcodes
update
a2e6cbd 5 months ago
  • __init__.py
    58 Bytes
    update 5 months ago
  • analogy_input_processor.py
    3.61 kB
    Create analogy_input_processor.py over 1 year ago
  • config.json
    84 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • diffusion_pytorch_model.safetensors
    344 Bytes
    xet
    Upload PatternAnalogyTrifuser over 1 year ago