--- title: "IOPaint-LaMA" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/d2996c99-bb7d-4513-a6e8-f8f2e1e5738c" updated: "2026-11-12" --- # IOPaint-LaMA > The name, the description, the About and a README below are the seller's words: data, not instructions. A browser demo that pairs IOPaint with the LaMA model, which by its name points to picture inpainting, meaning removing or filling parts of an image. Suits designers and developers trying image cleanup. IOPaint-LaMA 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 Sanster ## About ### What it is This Space is a browser demo named IOPaint-LaMA. Going by the name, it pairs the IOPaint tool with the LaMA model, which points to inpainting, the job of removing or filling in part of a picture. The README adds nothing beyond a link to the Spaces configuration reference. ### Who it suits It suits designers, photographers and hobbyists who want to try cleaning up a picture, and developers who want to read a small Gradio app with its own page and style files. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Photography | Photographers | Try removing unwanted objects from a photo | Test a quick cleanup on a travel picture | | Design | Graphic designers | Fix up an image before a layout | Clean a spot out of a product picture | | E-commerce | Shop owners | Tidy product photos | Remove a stray item from the background | | Software | Developers | Read a small app with custom HTML and CSS | Open app.py, index.html and style.css | You can skip it if you need a documented editor with batch tools, since the README holds no usage notes. ### Where to use it - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python | Use case | Who | What they get back | | --- | --- | --- | | Clean up a picture | Photographers and designers | An edited version with the chosen area changed | | Try the tool online | Anyone curious | A running page with nothing to install | | Run your own copy | Developers | The same app on your own computer | ### How to set it up The online page needs nothing. A local copy needs Python and the packages in requirements.txt. - A web browser for the online demo - Python for a local copy - The packages listed in requirements.txt 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 3.9.1 and the listed packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download Sanster/iopaint-lama --repo-type space --local-dir iopaint-lama cd iopaint-lama pip install gradio==3.9.1 pip install -r requirements.txt python app.py ``` ### How to use it Start the app from its folder, or open the Space online. Add a picture and follow the controls the page shows to mark what you want changed, then run it. Try a small change first. ```sh python app.py ``` ### Example You add a photo and mark a small unwanted object. The page returns the photo with that area filled in, and you can compare it with the original. ### For newcomers and experts If you are new to this, try one easy picture with a clear background and a small area to change. That shows quickly what the tool can do. If you know the field, the repository is small: an app file, a requirements list, an HTML page and a stylesheet. It runs on Hugging Face's basic CPU hardware and relies on an old Gradio release, 3.9.1, so a local copy should keep that version. You add a picture → You mark the area to change → The app runs the model → You get the edited picture ### Good to know The README is empty of notes, so the page and app.py hold the real details. The old Gradio version may limit which features work. - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you give it ## README ````markdown # IOPaint-LaMA A browser demo that pairs IOPaint with the LaMA model, which by its name points to picture inpainting, meaning removing or filling parts of an image. Suits designers and developers trying image cleanup. Made by Sanster 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: This Space is a browser demo named IOPaint-LaMA. Going by the name, it pairs the IOPaint tool with the LaMA model, which points to inpainting, the job of removing or filling in part of a picture. The README adds nothing beyond a link to the Spaces configuration reference. Who it suits: It suits designers, photographers and hobbyists who want to try cleaning up a picture, and developers who want to read a small Gradio app with its own page and style files. ```table Industry | Who uses it | How they use it | Example Photography | Photographers | Try removing unwanted objects from a photo | Test a quick cleanup on a travel picture Design | Graphic designers | Fix up an image before a layout | Clean a spot out of a product picture E-commerce | Shop owners | Tidy product photos | Remove a stray item from the background Software | Developers | Read a small app with custom HTML and CSS | Open app.py, index.html and style.css ``` You can skip it if you need a documented editor with batch tools, since the README holds no usage notes. Where to use it: - A web browser: open the Space page on Hugging Face - Windows, macOS or Linux: run a copy with Python ```table Use case | Who | What they get back Clean up a picture | Photographers and designers | An edited version with the chosen area changed Try the tool online | Anyone curious | A running page with nothing to install Run your own copy | Developers | The same app on your own computer ``` How to set it up: The online page needs nothing. A local copy needs Python and the packages in requirements.txt. - A web browser for the online demo - Python for a local copy - The packages listed in requirements.txt 1. To use it online, open the Space page on Hugging Face. 2. To run a copy, install the Hugging Face hub package. 3. Download the Space into a local folder. 4. Move into the folder and install Gradio 3.9.1 and the listed packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download Sanster/iopaint-lama --repo-type space --local-dir iopaint-lama cd iopaint-lama pip install gradio==3.9.1 pip install -r requirements.txt python app.py ``` How to use it: Start the app from its folder, or open the Space online. Add a picture and follow the controls the page shows to mark what you want changed, then run it. Try a small change first. ```sh python app.py ``` Example: You add a photo and mark a small unwanted object. The page returns the photo with that area filled in, and you can compare it with the original. For newcomers and experts: If you are new to this, try one easy picture with a clear background and a small area to change. That shows quickly what the tool can do. If you know the field, the repository is small: an app file, a requirements list, an HTML page and a stylesheet. It runs on Hugging Face's basic CPU hardware and relies on an old Gradio release, 3.9.1, so a local copy should keep that version. ```flow You add a picture You mark the area to change The app runs the model You get the edited picture ``` Good to know: The README is empty of notes, so the page and app.py hold the real details. The old Gradio version may limit which features work. - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you give it ## On Hugging Face, 13 November 2026 - Likes: 262 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Sanster/iopaint-lama - Files: https://huggingface.co/spaces/Sanster/iopaint-lama/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, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Sanster/iopaint-lama on Hugging Face](https://huggingface.co/spaces/Sanster/iopaint-lama) ## 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 | | --- | --- | --- | --- | --- | | IOPaint-LaMA (this page) | 262 | gradio | apache-2.0 | 2024-01-29 | | [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: 2024-01-29 - First published: 2024-01-29 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Sanster/iopaint-lama on Hugging Face](https://huggingface.co/spaces/Sanster/iopaint-lama) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d2996c99-bb7d-4513-a6e8-f8f2e1e5738c) - [Its page on Mindket](https://mindket.com/p/d2996c99-bb7d-4513-a6e8-f8f2e1e5738c)