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DrALivsey
/
GAIC-Intro

Unconditional Image Generation
Diffusers
Safetensors
PyTorch
DDPMPipeline
diffusion-models-class
Model card Files Files and versions
xet
Community

Instructions to use DrALivsey/GAIC-Intro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DrALivsey/GAIC-Intro with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DrALivsey/GAIC-Intro", 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
GAIC-Intro
74.2 MB
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  • 1 contributor
History: 5 commits
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DrALivsey
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