Instructions to use Keltezaa/ShowerGirls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/ShowerGirls 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("Keltezaa/ShowerGirls") prompt = "body covered in soap, soaking wet, naked, wet hair, completely nude girl, in the shower, in a bathtub, running water" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
ShowerGirls
Trigger words
You should use body covered in soap to trigger the image generation.
You should use soaking wet to trigger the image generation.
You should use naked to trigger the image generation.
You should use wet hair to trigger the image generation.
You should use completely nude girl to trigger the image generation.
You should use in the shower to trigger the image generation.
You should use in a bathtub to trigger the image generation.
You should use running water to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Keltezaa/ShowerGirls
Base model
black-forest-labs/FLUX.1-dev