Text Generation WebUI
Gradio web UI for running large language models locally.
- AI & LLM Tools
- Python
- AGPL-3.0
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 47,726
- Forks
- 5,988
- Open issues
- 807
- Commits, last 12 months
- 744
- Last commit
- Aug 17, 2026
- Latest release
- v4.9May 20, 2026
- Created
- Dec 21, 2022
Data from the GitHub API, refreshed daily.
About Text Generation WebUI
Gradio web UI for running large language models locally. Text Generation WebUI is open source under the AGPL-3.0 license and written mainly in Python, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 47,726 stars and 5,988 forks on GitHub, with 744 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Repository preview
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What is Text Generation WebUI?
Text Generation WebUI is a free, open-source app you can host on your own server, listed in our AI & LLM Tools category. Gradio web UI for running large language models locally. The source code lives at github.com/oobabooga/textgen, where it has 47,726 stars.
Is Text Generation WebUI free and open source?
Yes. Text Generation WebUI is open-source software released under the AGPL-3.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run Text Generation WebUI with Docker?
Yes. Text Generation WebUI provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to Text Generation WebUI?
Popular open-source alternatives to Text Generation WebUI include Ollama, Stable Diffusion WebUI and Langflow.
Is Text Generation WebUI actively maintained?
The most recent commit to Text Generation WebUI was on Aug 17, 2026 with 744 commits in the past twelve months. The latest release is v4.9, published May 20, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.