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MRMEDIALAB
/
PARKSEONGHA

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

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

  • Libraries
  • Diffusers

    How to use MRMEDIALAB/PARKSEONGHA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("MRMEDIALAB/PARKSEONGHA")
    
    prompt = "<lora:parkseongha-v2:1> PARKSEONGHA red teddy bear stone carving, red bow tie, pink stitching, white background, walking."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
PARKSEONGHA
40.8 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
seongha
Add 2 files
4bf5d90 verified over 1 year ago
  • images
    Add 2 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • README.md
    636 Bytes
    initial commit over 1 year ago
  • parkseongha-v2.safetensors
    39.8 MB
    xet
    Add 2 files over 1 year ago