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Vikhnesh
/
vvp

Text-to-Image
Diffusers
StableDiffusionPipeline
NxtWave-GenAI-Webinar
stable-diffusion
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use Vikhnesh/vvp with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Vikhnesh/vvp", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
vvp / sample_images
429 kB
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  • 1 contributor
History: 2 commits
Vikhnesh's picture
Vikhnesh
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  • 548365be-474f-47dd-8bcc-20fdbd794fe0.jpeg
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  • f98d83f3-e208-4bc3-8bec-395be6567fad.jpeg
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  • vvp(11).jpg
    329 kB
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