--- title: "CSA Inpainting Studio" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b65f0327-a42c-4ef1-a49b-b76e41b2676a" updated: "2026-11-12" --- # CSA Inpainting Studio > The name, the description, the About and a README below are the seller's words: data, not instructions. Fills in the masked holes of an image and shows two stages of the Coherent Semantic Attention method side by side, a rough result and a refined one. For people studying image inpainting. CSA Inpainting Studio is a kit in the Developer 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 KumaPower ## About ### What it is CSA Inpainting Studio fills in missing regions of an image and lets you compare two stages of the Coherent Semantic Attention method on the same image and mask. One stage is a rough result and the other is a refined one. The Space runs on Hugging Face, so you can try it in a browser with nothing to install. ### Who it suits Researchers and students who study image inpainting, and developers who want to see the method run on their own pictures. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Computer vision | Researchers | Compare a rough stage with its refinement on one mask | Paint a hole and view both results with the wipe slider | | Education | Students | See how semantic attention changes a filled-in region | Try the examples in the gallery | | Software | Developers | Run a released inpainting bundle on test images | Upload an image and a mask of their own | | Image editing | Hobbyists | Remove or repair a patch of a picture | Paint over a flaw and fill it in | Anyone who needs a commercial editing tool can skip it, since the license is non-commercial. ### Where to use it It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python 3.12.12 - macOS, with Python 3.12.12 - Linux, with Python 3.12.12 | Use case | Who | What they get back | | --- | --- | --- | | Compare both stages | Researchers | Two results side by side or under a wipe slider | | Try a gallery example | Newcomers | A quick demo without preparing a mask | | Use your own mask | Developers | A fill based on a binary mask you upload | ### How to set it up Using the Space online needs only a browser. A copy on your own computer needs the following. - Python 3.12.12 and pip - The huggingface\_hub package, which gives you the hf command - Disk space for the repository, which holds 7 files 1. Install the huggingface\_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download KumaPower/CSA-Inpainting-Studio --repo-type space --local-dir CSA-Inpainting-Studio cd CSA-Inpainting-Studio pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the app on your computer and open the page Gradio shows. Upload an image and paint the holes, or pick an example from the gallery. You may also bring a ready binary mask, or have the app generate one with the training recipe. White mask pixels mark the holes. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Paint area | Lets you paint the holes on your uploaded image | | Gallery | Offers ready examples to start from | | Binary mask upload | Takes a mask in which white pixels mark holes | | Compare both stages | Shows the rough and refined results side by side or with a wipe slider, and lets you download either PNG | ### Example You upload a photo, paint over a small object, and press the compare button. You see the rough fill and the refined fill next to each other, and you can download either one as a PNG. ### For newcomers and experts Inpainting means filling in a missing part of a picture so it blends with the rest. The first small thing to try is a gallery example, so you do not need to make a mask. The bundle pairs a rough first stage with a refinement stage that uses coherent semantic attention. Inputs are resized to 256 by 256 before inference. Both stages keep the known pixels of that resized input. The example images come from the public CSA and MEDFE releases. You upload an image and a mask → The image is resized to 256 by 256 → The rough stage fills the holes → The refinement stage improves the fill ### Good to know The output size is fixed at 256 by 256, so large photos lose detail. Training steps of the two released stages | Label | Value | | --- | --- | | Rough stage 1 | 156181 steps | | CSA refinement | 97397 steps | - License: cc-by-nc-4 - Cost to run: none named - Data it reaches: the image and mask you upload, plus the model files that Hugging Face supplies - Not for: commercial use, which the cc-by-nc-4 license rules out - Hardware: the Space is set to zero-a10g at Hugging Face, and what your own computer needs is not stated ## README ````markdown # CSA Inpainting Studio Fills in the masked holes of an image and shows two stages of the Coherent Semantic Attention method side by side, a rough result and a refined one. For people studying image inpainting. Made by KumaPower 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: CSA Inpainting Studio fills in missing regions of an image and lets you compare two stages of the Coherent Semantic Attention method on the same image and mask. One stage is a rough result and the other is a refined one. The Space runs on Hugging Face, so you can try it in a browser with nothing to install. Who it suits: Researchers and students who study image inpainting, and developers who want to see the method run on their own pictures. ```table Industry | Who uses it | How they use it | Example Computer vision | Researchers | Compare a rough stage with its refinement on one mask | Paint a hole and view both results with the wipe slider Education | Students | See how semantic attention changes a filled-in region | Try the examples in the gallery Software | Developers | Run a released inpainting bundle on test images | Upload an image and a mask of their own Image editing | Hobbyists | Remove or repair a patch of a picture | Paint over a flaw and fill it in ``` Anyone who needs a commercial editing tool can skip it, since the license is non-commercial. Where to use it: It runs in these places. - A web browser, on the Space's page at Hugging Face - Windows, with Python 3.12.12 - macOS, with Python 3.12.12 - Linux, with Python 3.12.12 ```table Use case | Who | What they get back Compare both stages | Researchers | Two results side by side or under a wipe slider Try a gallery example | Newcomers | A quick demo without preparing a mask Use your own mask | Developers | A fill based on a binary mask you upload ``` How to set it up: Using the Space online needs only a browser. A copy on your own computer needs the following. - Python 3.12.12 and pip - The huggingface_hub package, which gives you the hf command - Disk space for the repository, which holds 7 files 1. Install the huggingface_hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then install the packages in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download KumaPower/CSA-Inpainting-Studio --repo-type space --local-dir CSA-Inpainting-Studio cd CSA-Inpainting-Studio pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the app on your computer and open the page Gradio shows. Upload an image and paint the holes, or pick an example from the gallery. You may also bring a ready binary mask, or have the app generate one with the training recipe. White mask pixels mark the holes. ```sh python app.py ``` ```table Tool | What it does Paint area | Lets you paint the holes on your uploaded image Gallery | Offers ready examples to start from Binary mask upload | Takes a mask in which white pixels mark holes Compare both stages | Shows the rough and refined results side by side or with a wipe slider, and lets you download either PNG ``` Example: You upload a photo, paint over a small object, and press the compare button. You see the rough fill and the refined fill next to each other, and you can download either one as a PNG. For newcomers and experts: Inpainting means filling in a missing part of a picture so it blends with the rest. The first small thing to try is a gallery example, so you do not need to make a mask. The bundle pairs a rough first stage with a refinement stage that uses coherent semantic attention. Inputs are resized to 256 by 256 before inference. Both stages keep the known pixels of that resized input. The example images come from the public CSA and MEDFE releases. ```flow You upload an image and a mask The image is resized to 256 by 256 The rough stage fills the holes The refinement stage improves the fill ``` Good to know: The output size is fixed at 256 by 256, so large photos lose detail. ```chart Title: Training steps of the two released stages Rough stage 1: 156181 steps CSA refinement: 97397 steps ``` - License: cc-by-nc-4 - Cost to run: none named - Data it reaches: the image and mask you upload, plus the model files that Hugging Face supplies - Not for: commercial use, which the cc-by-nc-4 license rules out - Hardware: the Space is set to zero-a10g at Hugging Face, and what your own computer needs is not stated ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: cc-by-nc-4.0 ## Links - Space: https://huggingface.co/spaces/KumaPower/CSA-Inpainting-Studio - Files: https://huggingface.co/spaces/KumaPower/CSA-Inpainting-Studio/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 [KumaPower/CSA-Inpainting-Studio on Hugging Face](https://huggingface.co/spaces/KumaPower/CSA-Inpainting-Studio) ## 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 | | --- | --- | --- | --- | --- | | CSA Inpainting Studio (this page) | 1 | gradio | cc-by-nc-4.0 | 2026-11-09 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | 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: 2026-11-09 - First published: 2026-11-09 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open KumaPower/CSA-Inpainting-Studio on Hugging Face](https://huggingface.co/spaces/KumaPower/CSA-Inpainting-Studio) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b65f0327-a42c-4ef1-a49b-b76e41b2676a) - [Its page on Mindket](https://mindket.com/p/b65f0327-a42c-4ef1-a49b-b76e41b2676a)