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
File size: 870 Bytes
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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
<Gallery />
## 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](/Genner2025/sideboob/tree/main) them in the Files & versions tab.
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