--- title: "See-through: Layer Decomposition" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/6a17e2f0-98cf-4ac4-b1b3-93b92ae96c40" updated: "2026-11-12" --- # See-through: Layer Decomposition > The name, the description, the About and a README below are the seller's words: data, not instructions. Splits one anime character illustration into separate, fully filled-in layers with depth order and gives you a layered PSD file. For illustrators, animators and researchers. See-through: Layer Decomposition is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by 24yearsold ## About ### What it is See-through: Layer Decomposition is a Gradio demo that takes one anime character illustration and splits it into separate semantic layers. Hidden parts of each layer are filled in, the layers come with a depth order, and the result is a layered PSD file. It runs on ZeroGPU hardware, so you can try it in a browser. ### Who it suits It suits illustrators, animators and researchers who want an illustration broken into editable layers without cutting it apart by hand. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Illustration | Artists | Turn a flat finished picture into editable layers | Upload a character and open the PSD | | Animation | Animators | Get layers with depth order to start from | Move the separated parts of one character | | AI research | Researchers | Try the See-through pipeline on new images | Compare the layers with the paper's examples | If your picture is not an anime character, you can skip it, since the model is made for that style. ### Where to use it - A web browser, on the Space's page on Hugging Face - A local copy of the files, run with Python under Windows, macOS or Linux - An image editor that opens PSD files, for the result | Use case | Who | What they get back | | --- | --- | --- | | Split an illustration | Artists | A layered PSD with the parts separated | | Prepare for animation | Animators | Layers with depth order | | Test the pipeline | Researchers | Results from the three-stage pipeline | ### How to set it up - A web browser, which is all the online page needs - Python, for a local copy - The Python packages listed in requirements.txt - A character illustration, ideally square 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package and download the Space's files. 3. Move into the downloaded folder. 4. Install Gradio 6.12.0, then the packages from requirements.txt. 5. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download 24yearsold/see-through-demo --repo-type space --local-dir see-through-demo cd see-through-demo pip install gradio==6.12.0 pip install -r requirements.txt python app.py ``` ### How to use it Upload an illustration, run it and download the PSD. Square pictures work best, and other shapes are cropped from the center. 1. Upload your character illustration. 2. Change the seed if you want a different result. 3. Press Submit and wait about one to two minutes. 4. Download the layered PSD file. | Tool | What it does | | --- | --- | | LayerDiff 3D | Generates transparent layers with a diffusion model built on SDXL | | Marigold Depth | Estimates a rough depth map tuned for anime pictures | | Post-processing | Sorts the layers into a stack and exports the PSD | ### Example Upload a square illustration of one character and press Submit. After a minute or two, you download a PSD in which the hair, clothes and other parts sit on their own layers. ### For newcomers and experts Start with a clean, square picture of one character and leave the seed alone. Open the PSD in your editor and look at the layers. The demo runs the full See-through pipeline, which joins layer generation, depth estimation and layer stacking. It uses a newer model checkpoint than the paper, so results may not match the paper's exactly. The repository also holds a data pipeline README and notes on PSD stratification. You upload a character illustration → LayerDiff 3D makes the transparent layers → Marigold Depth estimates the depth order → Post-processing exports a layered PSD ### Good to know The demo uses a newer checkpoint than the paper, so it may not reproduce the paper's numbers exactly. - License: MIT - Cost to run: none named, and the online copy runs on ZeroGPU hardware - Data it reaches: the illustration you upload and the models the Space names - Not for: pictures that are not anime characters, or work that must match the paper's results exactly ## README ````markdown # See-through: Layer Decomposition Splits one anime character illustration into separate, fully filled-in layers with depth order and gives you a layered PSD file. For illustrators, animators and researchers. Made by 24yearsold on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: See-through: Layer Decomposition is a Gradio demo that takes one anime character illustration and splits it into separate semantic layers. Hidden parts of each layer are filled in, the layers come with a depth order, and the result is a layered PSD file. It runs on ZeroGPU hardware, so you can try it in a browser. Who it suits: It suits illustrators, animators and researchers who want an illustration broken into editable layers without cutting it apart by hand. ```table Industry | Who uses it | How they use it | Example Illustration | Artists | Turn a flat finished picture into editable layers | Upload a character and open the PSD Animation | Animators | Get layers with depth order to start from | Move the separated parts of one character AI research | Researchers | Try the See-through pipeline on new images | Compare the layers with the paper's examples ``` If your picture is not an anime character, you can skip it, since the model is made for that style. Where to use it: - A web browser, on the Space's page on Hugging Face - A local copy of the files, run with Python under Windows, macOS or Linux - An image editor that opens PSD files, for the result ```table Use case | Who | What they get back Split an illustration | Artists | A layered PSD with the parts separated Prepare for animation | Animators | Layers with depth order Test the pipeline | Researchers | Results from the three-stage pipeline ``` How to set it up: - A web browser, which is all the online page needs - Python, for a local copy - The Python packages listed in requirements.txt - A character illustration, ideally square 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package and download the Space's files. 3. Move into the downloaded folder. 4. Install Gradio 6.12.0, then the packages from requirements.txt. 5. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download 24yearsold/see-through-demo --repo-type space --local-dir see-through-demo cd see-through-demo pip install gradio==6.12.0 pip install -r requirements.txt python app.py ``` How to use it: Upload an illustration, run it and download the PSD. Square pictures work best, and other shapes are cropped from the center. 1. Upload your character illustration. 2. Change the seed if you want a different result. 3. Press Submit and wait about one to two minutes. 4. Download the layered PSD file. ```table Tool | What it does LayerDiff 3D | Generates transparent layers with a diffusion model built on SDXL Marigold Depth | Estimates a rough depth map tuned for anime pictures Post-processing | Sorts the layers into a stack and exports the PSD ``` Example: Upload a square illustration of one character and press Submit. After a minute or two, you download a PSD in which the hair, clothes and other parts sit on their own layers. For newcomers and experts: Start with a clean, square picture of one character and leave the seed alone. Open the PSD in your editor and look at the layers. The demo runs the full See-through pipeline, which joins layer generation, depth estimation and layer stacking. It uses a newer model checkpoint than the paper, so results may not match the paper's exactly. The repository also holds a data pipeline README and notes on PSD stratification. ```flow You upload a character illustration LayerDiff 3D makes the transparent layers Marigold Depth estimates the depth order Post-processing exports a layered PSD ``` Good to know: The demo uses a newer checkpoint than the paper, so it may not reproduce the paper's numbers exactly. - License: MIT - Cost to run: none named, and the online copy runs on ZeroGPU hardware - Data it reaches: the illustration you upload and the models the Space names - Not for: pictures that are not anime characters, or work that must match the paper's results exactly ## On Hugging Face, 13 November 2026 - Likes: 199 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/24yearsold/see-through-demo - Files: https://huggingface.co/spaces/24yearsold/see-through-demo/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [24yearsold/see-through-demo on Hugging Face](https://huggingface.co/spaces/24yearsold/see-through-demo) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | See-through: Layer Decomposition (this page) | 199 | gradio | mit | 2026-10-05 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-05 - First published: 2026-03-31 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open 24yearsold/see-through-demo on Hugging Face](https://huggingface.co/spaces/24yearsold/see-through-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/6a17e2f0-98cf-4ac4-b1b3-93b92ae96c40) - [Its page on Mindket](https://mindket.com/p/6a17e2f0-98cf-4ac4-b1b3-93b92ae96c40)