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Ezequield
/
minimax

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use Ezequield/minimax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Ezequield/minimax with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("neph1/minimax_h3_handheld_shaky_camera", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Ezequield/minimax")
    
    prompt = "change and paramount and jumpstart"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
minimax
100 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Ezequield's picture
Ezequield
Add 2 files
a274194 verified 4 days ago
  • images
    Add 2 files 4 days ago
  • .gitattributes
    2.31 kB
    initial commit 4 days ago
  • MiniMax-H3-main.zip
    100 MB
    xet
    Add 2 files 4 days ago
  • README.md
    717 Bytes
    initial commit 4 days ago