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LyliaEngine
/
GRIM_v1

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

Instructions to use LyliaEngine/GRIM_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use LyliaEngine/GRIM_v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("LyliaEngine/GRIM_v1")
    
    prompt = "(score_9, score_8_up), score_7_up, zPDXL, solo, 1boy, holding, monochrome, weapon, red background, flower, flowly cape, male focus, sword, holding weapon, armor, holding sword, helmet, shoulder armor, gauntlets, spot color, pauldrons, skull, planted, full armor, planted sword, helm,<lora:GRIM_v1:0.9>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
GRIM_v1
229 MB
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  • 1 contributor
History: 4 commits
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LyliaEngine
Update README.md
4a90a57 verified almost 2 years ago
  • images
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  • .gitattributes
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    initial commit almost 2 years ago
  • GRIM_v1.safetensors
    228 MB
    xet
    Add 4 files almost 2 years ago
  • README.md
    2.86 kB
    Update README.md almost 2 years ago