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vxpll
/
paintedstyle2

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

Instructions to use vxpll/paintedstyle2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vxpll/paintedstyle2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("vxpll/paintedstyle2")
    
    prompt = "-"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
paintedstyle2
257 MB
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  • 1 contributor
History: 2 commits
vxpll's picture
vxpll
Add 2 files
666cc01 verified 7 months ago
  • images
    Add 2 files 7 months ago
  • .gitattributes
    2.31 kB
    initial commit 7 months ago
  • README.md
    376 Bytes
    initial commit 7 months ago
  • checkpoint-e22_s286.safetensors
    256 MB
    xet
    Add 2 files 7 months ago