---
title: "See-through: Layer Decomposition"
emoji: "\U0001F50D"
colorFrom: blue
colorTo: purple
sdk: gradio
app_file: app.py
pinned: false
license: mit
---

# See-through: Single-image Layer Decomposition for Anime Characters

[GitHub](https://github.com/shitagaki-lab/see-through) |
[Paper (arXiv:2602.03749)](https://arxiv.org/abs/2602.03749)

Upload an anime character illustration to decompose it into fully-inpainted
semantic layers with depth ordering, exported as a layered PSD file.

## How it works

This demo runs the full See-through pipeline:
1. **LayerDiff 3D** — diffusion-based transparent layer generation (SDXL)
2. **Marigold Depth** — pseudo-depth estimation fine-tuned for anime
3. **Post-processing** — layer stratification and PSD export

## Usage

1. Upload a character illustration (square images work best; non-square images are center-cropped)
2. Optionally adjust the seed
3. Click Submit and wait (~1-2 minutes)
4. Download the layered PSD file

## Notes

- This demo is for **PSD inference only** (layer decomposition). For the full toolkit
  (body parsing, heuristic stratification, UI, training), see the
  [GitHub repo](https://github.com/shitagaki-lab/see-through).
- Runs on **ZeroGPU** — free for all users, but GPU quota is limited. PRO users get
  higher quota and priority. If you experience timeouts during peak hours, please try
  again later or run locally.
- **Disclaimer:** This demo uses a newer model checkpoint and may not fully reproduce
  identical results reported in the paper.