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darask0
/
MOSS-Image_4-step_adapter_lora

Text-to-Image
Diffusers
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moss-image
lora
distillation
few-step
dmad
dmd
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xet
Community
3

Instructions to use darask0/MOSS-Image_4-step_adapter_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use darask0/MOSS-Image_4-step_adapter_lora with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-SFT", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("darask0/MOSS-Image_4-step_adapter_lora")
    
    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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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TY♥

#3 opened 6 days ago by
Lambda-7C0

XPU / MPS support: _timestep_embedding hardcodes float64 — probe the device and fall back to float32

#2 opened 7 days ago by
mouyase
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