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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},
}
```
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