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Faitlesses
/
tb1

Text-to-Image
Diffusers
flux
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community

Instructions to use Faitlesses/tb1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Faitlesses/tb1 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("Faitlesses/tb1")
    
    prompt = "Photograph of a young, fit, nude man with a circumcised, erect penis, standing in a dimly lit room. He has a light skin tone, short brown hair, and a slight smile. The image is taken from a low angle, emphasizing his muscular physique and genitals. His penis is prominently displayed, with visible veins and a shiny, wet appearance. The background is blurred with warm lighting, creating a bokeh effect. The camera settings appear to be a high-resolution DSLR with a wide aperture for the shallow depth of field."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
tb1 / samples /.ipynb_checkpoints
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  • 1 contributor
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Faitlesses
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