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KappaNeuro
/
n-c-wyeth-style

Text-to-Image
Diffusers
stable-diffusion
lora
art
style
artist
illustrator
artwork
painting
n.c. wyeth
Model card Files Files and versions
xet
Community

Instructions to use KappaNeuro/n-c-wyeth-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use KappaNeuro/n-c-wyeth-style 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("KappaNeuro/n-c-wyeth-style")
    
    prompt = "N.C. Wyeth Style - In the style of N. C. Wyeth paintings, NO TEXT. A daring scene unfolds on the azure waters of Lake Texcoco. The Spanish ship, Santa Mara de la Victoria, cuts through the water, its sails billowing in the wind. The crew, a band of hardened men, work in unison, their faces etched with determination. In the distance, the majestic city of Tenochtitln looms, its temples and causeways bathed in the golden light of the setting sun. The scene is captured with a Canon EOS 5D Mark IV DSLR camera, EF 50mm f/1.8 STM lens, Resolution 30.4 megapixels, ISO sensitivity: 32,000, Shutter speed 8000 second. The lighting is dramatic, with the setting sun casting long shadows on the deck of the ship and the city in the distance. The colors are vibrant, with the blue of the lake contrasting with the golden hues of the sunset. The composition is dynamic, with the ship in the foreground and the city in the background, creating a sense of depth and scale."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
n-c-wyeth-style
229 MB
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  • 1 contributor
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multimodalart HF Staff
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