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inclusionAI
/
LLaDA-Image-Turbo-FP8

Text-to-Image
Diffusers
Safetensors
English
Chinese
LLaDAImagePipeline
image-generation
image-editing
image-to-image
Model card Files Files and versions
xet
Community
4

Instructions to use inclusionAI/LLaDA-Image-Turbo-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use inclusionAI/LLaDA-Image-Turbo-FP8 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/LLaDA-Image-Turbo-FP8", 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
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

no comfy support?

#4 opened 5 days ago by
kalle07

ValueError: Unknown quantization type, got fp8 - supported types are: ['bitsandbytes_4bit', 'bitsandbytes_8bit', 'gguf', 'quanto', 'torchao', 'modelopt', 'auto-round', 'nunchaku_lite', 'sdnq']

#3 opened 6 days ago by
creatorbest

Text encoder larger than the model??

#2 opened 9 days ago by
EllaPriest45

Demo for this model on Spaces

#1 opened 11 days ago by
multimodalart
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