Sweatshirt-LoRA for Segmenting Sweatshirt Regions in Fashion Images
Model Overview
Sweatshirt-LoRA is a lightweight LoRA adapter designed for the FLUX.1 Kontext generative model, enabling automatic segmentation of a "sweatshirt" region on fashion images—even when a sweatshirt is absent from the original image. This LoRA is specifically intended for virtual try-on and inpainting workflows, where constructing a precise mask for new or modified clothing items is critical.
Intended Use
- Automatically generating a segmentation mask for a "seatshirt" area
- Facilitating downstream virtual try-on, inpainting, and style transfer tasks by providing a consistent mask for input images. Prompts used:
- Caption:
put a green mask for a sweatshirt on the person
Acknowledgments
Based on the FLUX.1 Kontext generative model, trained with Ostris’ AI Toolkit. See video instructions.
Model tree for jroessler/flux-kontext-segmentation-sweatshirt
Base model
black-forest-labs/FLUX.1-Kontext-dev