Instructions to use Genner2025/sideboob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Genner2025/sideboob 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("Genner2025/sideboob") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/df0r49x-0a00ace4-5e0b-4547-a453-d6f136b05cd1.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Sideboob, Armhole, Nipslip, nipple, Breast From the side, Candid
sideboob

- Prompt
- -
Trigger words
You should use Sideboob to trigger the image generation.
You should use Armhole to trigger the image generation.
You should use Nipslip to trigger the image generation.
You should use nipple to trigger the image generation.
You should use Breast From the side to trigger the image generation.
You should use Candid to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.