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aimalias
/
b3mm4

Text-to-Image
Diffusers
lora
krea2
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use aimalias/b3mm4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use aimalias/b3mm4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("aimalias/b3mm4")
    
    prompt = "A cinematic shot of a B3MM4 woman dressed in ornate gold armor, standing atop a floating crystal peak amidst a swirling nebula of violet and teal gas."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
b3mm4
970 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
aimalias's picture
aimalias
Upload README.md with huggingface_hub
0b07041 verified 13 days ago
  • checkpoint-1000
    End of training 13 days ago
  • checkpoint-500
    End of training 13 days ago
  • .gitattributes
    1.67 kB
    Upload sample_2.png with huggingface_hub 13 days ago
  • README.md
    2.06 kB
    Upload README.md with huggingface_hub 13 days ago
  • pytorch_lora_weights.safetensors
    192 MB
    xet
    End of training 13 days ago
  • sample_0.png
    1.36 MB
    xet
    Upload sample_0.png with huggingface_hub 13 days ago
  • sample_1.png
    1.35 MB
    xet
    Upload sample_1.png with huggingface_hub 13 days ago
  • sample_2.png
    1.29 MB
    xet
    Upload sample_2.png with huggingface_hub 13 days ago