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KappaNeuro
/
video-installation

Text-to-Image
Diffusers
stable-diffusion
lora
art
photo
style
surreal
video installation
Model card Files Files and versions
xet
Community

Instructions to use KappaNeuro/video-installation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use KappaNeuro/video-installation 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/video-installation")
    
    prompt = "Video installation - In a white house, the floor is scattered with patches of grass, and a group of monkeys is watching television one by one. Surveillance cameras are mounted on the white walls. The entire scene is inspired by Nam June Paik's \"TV Buddha\" style, showcasing a vivid and modern atmosphere. The visual style maintains a sense of realism, as if captured by a high-resolution camera, compelling viewers to uncover the story behind it. mirror screen"
    image = pipe(prompt).images[0]
  • Inference
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  • Google Colab
  • Kaggle
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  • DiffusionBee
video-installation
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  • 1 contributor
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multimodalart HF Staff
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