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wkplhc
/
ue3.0

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community
1

Instructions to use wkplhc/ue3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wkplhc/ue3.0 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("wkplhc/ue3.0")
    
    prompt = "anime style, female, long black hair,  piercing violet eyes, A mysterious woman dressed as a witch, wearing a dark, elegant, long-sleeved sheer dress adorned with intricate golden details, large black witches' hat, long flowing hair, intense and focused expression, dark cloudy atmospheric background, dramatic lighting that highlights her face and costume, centered composition with a medium close-up framing, the mood is mystical and powerful. .  aidmaMJ6.1, aidmafluxpro1.1"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ue3.0
40.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
wkplhc's picture
wkplhc
Add 2 files
97e9314 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
    979 Bytes
    initial commit over 1 year ago
  • uenew.safetensors
    39.8 MB
    xet
    Add 2 files over 1 year ago