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LandonAbundre
/
BWSTits

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

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

  • Libraries
  • Diffusers

    How to use LandonAbundre/BWSTits 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("LandonAbundre/BWSTits")
    
    prompt = "BWSTits, An ultra-high definition and high detailed professional portrait photograph of a blonde woman professional model. She is topless with yoga pants and the photo focuses on her face and breasts. The photo has very dramatic lighting and deep shadows. She has extremely large natural saggy breasts. The photo has sharp vivid colors. She is wearing a tasteful amount of makeup to accentuate her features. She is standing under a very bright spotlight."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
BWSTits
68.4 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
LandonAbundre's picture
LandonAbundre
Add 2 files
a515b48 verified 8 days ago
  • images
    Add 2 files 8 days ago
  • .gitattributes
    2.31 kB
    initial commit 8 days ago
  • BWSTits_rank16_bf16.safetensors
    67.3 MB
    xet
    Add 2 files 8 days ago
  • README.md
    1.43 kB
    initial commit 8 days ago