--- title: "Lama Example" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/dd33c5d6-343b-4d83-b60d-b613b2141ee4" updated: "2026-11-12" --- # Lama Example > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app from the CVPR organisation with a large code base and sample images that point to filling in masked parts of a picture. Its README gives no description. Lama Example 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 CVPR ## About ### What it is Lama Example is a Gradio app on Hugging Face Spaces from the CVPR organisation. The repository carries a large code base, with a saicinpainting package, configs, models, a predict script and three sample images named canvas, maskexam and person512. These names point to filling in a masked part of a picture, but the README gives no description. ### Who it suits It suits people who want to try an image editing demo in a browser, and developers who want to read how an inpainting project is organised. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Photography | Hobbyists | Try the demo on a picture with a masked area | Open the Space and use a sample image | | Computer vision | Researchers | Read the package, configs and predict script | Download the Space and open predict.py | | Software | Python developers | See how a research model is wrapped in a Gradio page | Open app.py | Anyone who needs documented settings or output quality can skip it, since the README gives none. ### Where to use it - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Try the demo online | Anyone curious | The Gradio page running in the browser with nothing to install | | Study the code | Developers | A packaged model with configs, a predict script and sample images | ### How to set it up Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface\_hub package, to fetch the files - The packages in requirements.txt, plus Gradio - The system packages in packages.txt, which Hugging Face installs with apt-get 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called lama-example. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download CVPR/lama-example --repo-type space --local-dir lama-example cd lama-example pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face and use the page that loads, starting with a sample image if you like. For a local copy, run python app.py in the folder and open the page it starts. ### Example You run python app.py inside the lama-example folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page. ### For newcomers and experts If you are new, open the Space page and try one of the sample images. Nothing needs installing, so you can see what the demo does straight away. If you know the field, the repository holds the project code itself, with configs, a models folder, a fetch\_data folder and a conda environment file. A local run on Windows must replace the apt-get step by hand. Open the Space or run python app.py → app.py calls the model code → Gradio shows the result in your browser ### Good to know - The README gives no description, so the exact inputs and outputs are clear only on the page - The repository is large, with 213 files, and needs the system packages in packages.txt - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you give it ## README ````markdown # Lama Example A Gradio app from the CVPR organisation with a large code base and sample images that point to filling in masked parts of a picture. Its README gives no description. Made by CVPR 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: Lama Example is a Gradio app on Hugging Face Spaces from the CVPR organisation. The repository carries a large code base, with a saicinpainting package, configs, models, a predict script and three sample images named canvas, maskexam and person512. These names point to filling in a masked part of a picture, but the README gives no description. Who it suits: It suits people who want to try an image editing demo in a browser, and developers who want to read how an inpainting project is organised. ```table Industry | Who uses it | How they use it | Example Photography | Hobbyists | Try the demo on a picture with a masked area | Open the Space and use a sample image Computer vision | Researchers | Read the package, configs and predict script | Download the Space and open predict.py Software | Python developers | See how a research model is wrapped in a Gradio page | Open app.py ``` Anyone who needs documented settings or output quality can skip it, since the README gives none. Where to use it: - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Try the demo online | Anyone curious | The Gradio page running in the browser with nothing to install Study the code | Developers | A packaged model with configs, a predict script and sample images ``` How to set it up: Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface_hub package, to fetch the files - The packages in requirements.txt, plus Gradio - The system packages in packages.txt, which Hugging Face installs with apt-get 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called lama-example. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download CVPR/lama-example --repo-type space --local-dir lama-example cd lama-example pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face and use the page that loads, starting with a sample image if you like. For a local copy, run python app.py in the folder and open the page it starts. Example: You run python app.py inside the lama-example folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page. For newcomers and experts: If you are new, open the Space page and try one of the sample images. Nothing needs installing, so you can see what the demo does straight away. If you know the field, the repository holds the project code itself, with configs, a models folder, a fetch_data folder and a conda environment file. A local run on Windows must replace the apt-get step by hand. ```flow Open the Space or run python app.py app.py calls the model code Gradio shows the result in your browser ``` Good to know: - The README gives no description, so the exact inputs and outputs are clear only on the page - The repository is large, with 213 files, and needs the system packages in packages.txt - License: apache-2 - Cost to run: none named - Data it reaches: the pictures you give it ## On Hugging Face, 13 November 2026 - Likes: 4 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/CVPR/lama-example - Files: https://huggingface.co/spaces/CVPR/lama-example/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 [CVPR/lama-example on Hugging Face](https://huggingface.co/spaces/CVPR/lama-example) ## 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 | | --- | --- | --- | --- | --- | | Lama Example (this page) | 4 | gradio | apache-2.0 | 2022-02-07 | | [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: 2022-02-07 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open CVPR/lama-example on Hugging Face](https://huggingface.co/spaces/CVPR/lama-example) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/dd33c5d6-343b-4d83-b60d-b613b2141ee4) - [Its page on Mindket](https://mindket.com/p/dd33c5d6-343b-4d83-b60d-b613b2141ee4)