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dataautogpt3
/
PixArt-Sigma-900M

Text-to-Image
Diffusers
Safetensors
PixArtSigmaPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use dataautogpt3/PixArt-Sigma-900M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dataautogpt3/PixArt-Sigma-900M with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dataautogpt3/PixArt-Sigma-900M", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "high quality pixel art, a pixel art silhouette of an anime space-themed girl in a space-punk steampunk style, lying in her bed by the window of a spaceship, smoking, with a rustic feel. The image should embody epic portraiture and double exposure, featuring an isolated landscape visible through the window. The colors should primarily be dynamic and action-packed, with a strong use of negative space. The entire artwork should be in pixel art style, emphasizing the characters shape and set against a white background. Silhouette"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
PixArt-Sigma-900M
26.7 GB
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  • 1 contributor
History: 9 commits
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dataautogpt3
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