Inpaint_Me

Inpaint_Me

Fills in or repairs chosen parts of an image with inpainting in a Streamlit page, with example images and results included. For photo editors and machine learning learners.

Made by Huertas97 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: Inpaint_Me is a Streamlit app for image inpainting, which by its name means filling in or repairing part of a picture. The repository holds an Examples folder, an Examples_inpainted folder with results, two logos and the main file app_inpaint.py.

Who it suits: It suits people who edit images and want to try inpainting in a browser, and learners who want to see inputs next to results. The record gives no description of the controls, so open the page to see them.

Industry | Who uses it | How they use it | Example
Photo editing | Hobby photographers | Repair or fill a damaged part of a picture | Try an example image and view the result
Design | Graphic designers | Test how a model fills a gap in an image | Compare an example with its inpainted version
Education | Machine learning students | See inpainting inputs next to outputs | Browse the Examples and Examples_inpainted folders

You can skip it if you need video or batch image processing.

Where to use it:

• A web browser, on the Space's page on Hugging Face
• Windows, macOS or Linux with Python, from a downloaded copy

Use case | Who | What they get back
Repair part of an image | Editors | An image with the chosen area filled in
Study inpainting examples | Learners | Original and inpainted pictures side by side
Reuse as a base | Developers | A Streamlit app to adapt

How to set it up:

• Nothing at all if you use the online Space
• Python on your computer, only if you run a copy
• The packages listed in requirements.txt
• System packages from packages.txt, which Hugging Face installs with apt-get

1. Open the Space's page in a browser to use it with nothing to install.
2. To run a copy, install the Hugging Face Hub package and download the Space.
3. Move into the new folder, then install Streamlit and the listed requirements.
4. Start the app with Streamlit, using its main file app_inpaint.py.

pip install -U huggingface_hub
hf download Huertas97/Inpaint_Me --repo-type space --local-dir Inpaint_Me
cd Inpaint_Me
pip install streamlit
pip install -r requirements.txt
streamlit run app_inpaint.py

How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file with Streamlit from the Space folder, then use the page it serves. The example images are a quick way to see how it behaves.

streamlit run app_inpaint.py

Example: You open the Space and pick one of the example images. The app fills in the part you chose and shows the repaired picture. The record does not describe the controls, so check the page.

For newcomers and experts: Inpainting means a program guesses what should fill a missing or unwanted area, using the pixels around it. Start by opening the Space and trying an example image.

If you know the field, the app is a Streamlit front end around an inpainting model, with system packages listed in packages.txt. The record names no model, settings or quality figures, so inspect app_inpaint.py to see what runs.

You choose an image and an area
The Streamlit page sends them to app_inpaint.py
The inpainting model fills the area
The page shows the repaired image

Good to know:

• License: Apache 2, as listed on the Space
• Cost to run: none named
• Data it reaches: the images you give it and the example files in the repository
• Not for: the record names no exclusions, so check the images you edit are yours to change

On Hugging Face, 13 November 2026

• Likes: 11
• Built with: streamlit
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Huertas97/Inpaint_Me
• Files: https://huggingface.co/spaces/Huertas97/Inpaint_Me/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.