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B4100
/
photoshoot-v2

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

Instructions to use B4100/photoshoot-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use B4100/photoshoot-v2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("B4100/photoshoot-v2")
    
    prompt = "photosh00t, low-angle close-up of a slim light-skinned woman on bed with legs spread, blue and white panties pulled down to thighs, genitals visible, even natural light on white bed sheets."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
photoshoot-v2
331 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Dylan Keay
Update README.md
a945ebc verified about 1 month ago
  • images
    Add 2 files about 1 month ago
  • .gitattributes
    2.31 kB
    initial commit about 1 month ago
  • README.md
    8.17 kB
    Update README.md about 1 month ago
  • photosh00t-v2.safetensors
    331 MB
    xet
    Add 2 files about 1 month ago