Lama Example

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.

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.

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

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.