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Local Development
If you are looking to contribute you will need to have a local development environment. See the Developer Install for full details.
Broadly this involves cloning the repository, installing the pre-reqs, and InvokeAI (in editable form). Assuming this is working, choose your area of focus.
Documentation
We use mkdocs for our documentation with the
material theme. Documentation is
written in markdown files under the ./docs
folder and then built into a static
website for hosting with GitHub Pages at
invoke-ai.github.io/InvokeAI.
To contribute to the documentation you'll need to install the dependencies. Note
the use of "
.
pip install ".[docs]"
Now, to run the documentation locally with hot-reloading for changes made.
mkdocs serve
You'll then be prompted to connect to http://127.0.0.1:8080
in order to
access.
Backend
The backend is contained within the ./invokeai/backend
folder structure. To
get started however please install the development dependencies.
From the root of the repository run the following command. Note the use of "
.
pip install ".[test]"
This in an optional group of packages which is defined within the
pyproject.toml
and will be required for testing the changes you make the the
code.
Running Tests
We use pytest for our test suite. Tests can
be found under the ./tests
folder and can be run with a single pytest
command. Optionally, to review test coverage you can append --cov
.
pytest --cov
Test outcomes and coverage will be reported in the terminal. In addition a more
detailed report is created in both XML and HTML format in the ./coverage
folder. The HTML one in particular can help identify missing statements
requiring tests to ensure coverage. This can be run by opening
./coverage/html/index.html
.
For example.
pytest --cov; open ./coverage/html/index.html
??? info "HTML coverage report output"
![html-overview](../assets/contributing/html-overview.png)
![html-detail](../assets/contributing/html-detail.png)
Front End
--8<-- "invokeai/frontend/web/README.md"