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