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imagepipeline
/
LEOSAMs-HelloWorld-SDXL-Base-Model

Text-to-Image
Diffusers
StableDiffusionXLPipeline
imagepipeline
imagepipeline.io
ultra-realistic
Model card Files Files and versions
xet
Community

Instructions to use imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model", 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
  • Draw Things
  • DiffusionBee
LEOSAMs-HelloWorld-SDXL-Base-Model / text_encoder_2
1.39 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
Image Pipeline
Upload StableDiffusionXLPipeline
9c449a8 over 2 years ago
  • config.json
    570 Bytes
    Upload StableDiffusionXLPipeline over 2 years ago
  • model.fp16.safetensors
    1.39 GB
    xet
    Upload StableDiffusionXLPipeline over 2 years ago