--- tags: - diffusion - image-decomposition - rgba - layered-image-editing --- # SynLayers Stage 2 This repository contains the Stage 2 checkpoints and runtime assets for SynLayers, our real-world image layer decomposition system. The main assets in this repo are: - `SynLayers_checkpoints/FLUX.1-dev` - `SynLayers_checkpoints/FLUX.1-dev-Controlnet-Inpainting-Alpha` - `SynLayers_ckpt/step_120000` - `ckpt/trans_vae/0008000.pt` - `ckpt/pre_trained_LoRA` - `ckpt/prism_ft_LoRA` These assets are used by the public SynLayers demo: [SynLayers/synlayers](https://huggingface.co/spaces/SynLayers/synlayers) The full pipeline uses: 1. Stage 1 bbox + whole-caption prediction from [`SynLayers/Bbox-caption-8b`](https://huggingface.co/SynLayers/Bbox-caption-8b) 2. Stage 2 layer decomposition from this repository This repo is intended for the SynLayers decomposition pipeline rather than a single generic `DiffusionPipeline(prompt)` model. If you want to see more details of our implementation, please check our paper: [https://arxiv.org/abs/2605.15167](https://arxiv.org/abs/2605.15167) If you find our work useful, please consider citing: ```bibtex @misc{wu2026doessyntheticlayereddesign, title={Does Synthetic Layered Design Data Benefit Layered Design Decomposition?}, author={Kam Man Wu and Haolin Yang and Qingyu Chen and Yihu Tang and Jingye Chen and Qifeng Chen}, year={2026}, eprint={2605.15167}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2605.15167}, } ```