Spaces:
Running on Zero
Running on Zero
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README.md
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title: See
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 6.15.2
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python_version: '3.12'
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app_file: app.py
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pinned: false
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---
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title: "See-through: Layer Decomposition"
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emoji: "\U0001F50D"
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colorFrom: blue
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sdk: gradio
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app_file: app.py
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license: mit
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# See-through: Single-image Layer Decomposition for Anime Characters
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[GitHub](https://github.com/shitagaki-lab/see-through) |
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[Paper (arXiv:2602.03749)](https://arxiv.org/abs/2602.03749)
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Upload an anime character illustration to decompose it into fully-inpainted
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semantic layers with depth ordering, exported as a layered PSD file.
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## How it works
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This demo runs the full See-through pipeline:
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1. **LayerDiff 3D** — diffusion-based transparent layer generation (SDXL)
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2. **Marigold Depth** — pseudo-depth estimation fine-tuned for anime
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3. **Post-processing** — layer stratification and PSD export
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## Usage
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1. Upload a character illustration (square images work best; non-square images are center-cropped)
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2. Optionally adjust the seed
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3. Click Submit and wait (~1-2 minutes)
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4. Download the layered PSD file
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**Disclaimer:** This demo uses a newer model checkpoint and may not fully
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reproduce identical results reported in the paper.
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