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Jonjew
/
StaceDash

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

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

  • Libraries
  • Diffusers

    How to use Jonjew/StaceDash 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("Jonjew/StaceDash")
    
    prompt = "<lora:stac3yd3sh:1.3>extreme close up, double exposure, beautiful light complexion, 19 years old biracial female in the rain,  detailed raindrops running down her face, wet hair, wet clothes stuck to her complete body and legs, super detailed photography, Play of light in the sun rain, downpour, ((a drop of water falling from a height onto the surface of the water)), splashes, luminism, intricate, 4k concept art volumetric light, unrealistic engine, global illumination, detailed environment, full body"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
StaceDash
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  • 1 contributor
History: 2 commits
Jonjew's picture
Jonjew
Add 2 files
7bc7544 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
    1.11 kB
    initial commit over 1 year ago
  • stac3yd3sh.safetensors
    39.8 MB
    xet
    Add 2 files over 1 year ago