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inclusionAI
/
Ming-Lite-Uni

Image-Text-to-Text
Diffusers
Safetensors
text-to-image
image-to-image
image-to-text
Model card Files Files and versions
xet
Community
3

Instructions to use inclusionAI/Ming-Lite-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use inclusionAI/Ming-Lite-Uni with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("inclusionAI/Ming-Lite-Uni", 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
Ming-Lite-Uni / tests
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  • 4 contributors
History: 1 commit
LandyGuo
update 0504 version
5110b7e about 1 year ago
  • cake.jpg
    28.2 kB
    update 0504 version about 1 year ago
  • man.jpg
    66.2 kB
    update 0504 version about 1 year ago