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linoyts
/
MiniMax-H3-Image-pDMD-2steps

Text-to-Image
Diffusers
MiniMax H3
lora
image-to-image
image-editing
distillation
dmd
pdmd
few-step
Model card Files Files and versions
xet
Community

Instructions to use linoyts/MiniMax-H3-Image-pDMD-2steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use linoyts/MiniMax-H3-Image-pDMD-2steps with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3-Image", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("linoyts/MiniMax-H3-Image-pDMD-2steps")
    
    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
MiniMax-H3-Image-pDMD-2steps
1.38 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
linoyts's picture
linoyts HF Staff
Name the method pDMD
c07d96e verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    18.2 kB
    Add MiniMax-H3-Image 2-step DMD2 LoRA 2 days ago
  • NOTICE
    674 Bytes
    Add MiniMax-H3-Image 2-step DMD2 LoRA 2 days ago
  • README.md
    5.3 kB
    Name the method pDMD 2 days ago
  • pytorch_lora_weights.safetensors
    1.38 GB
    xet
    Add MiniMax-H3-Image 2-step DMD2 LoRA 2 days ago