InvokeAI/docs/RELEASE.md

Release Process

The app is published in twice, in different build formats.

• A PyPI distribution. This includes both a source distribution and built distribution (a wheel). Users install with pip install invokeai. The updater uses this build.
• An installer on the InvokeAI Releases Page. This is a zip file with install scripts and a wheel. This is only used for new installs.

General Prep

Make a developer call-out for PRs to merge. Merge and test things out.

While the release workflow does not include end-to-end tests, it does pause before publishing so you can download and test the final build.

Release Workflow

The release.yml workflow runs a number of jobs to handle code checks, tests, build and publish on PyPI.

It is triggered on tag push, when the tag matches v*. It doesn't matter if you've prepped a release branch like release/v3.5.0 or are releasing from main - it works the same.

Because commits are reference-counted, it is safe to create a release branch, tag it, let the workflow run, then delete the branch. So long as the tag exists, that commit will exist.

Triggering the Workflow

Run make tag-release to tag the current commit and kick off the workflow.

The release may also be run manually.

Workflow Jobs and Process

The workflow consists of a number of concurrently-run jobs, and two final publish jobs.

The publish jobs run if the 5 concurrent jobs all succeed and if/when the publish jobs are approved.

check-version Job

This job checks that the git ref matches the app version. It matches the ref against the __version__ variable in invokeai/version/invokeai_version.py.

When the workflow is triggered by tag push, the ref is the tag. If the workflow is run manually, the ref is the target selected from the Use workflow from dropdown.

This job uses samuelcolvin/check-python-version.

Any valid version specifier works, so long as the tag matches the version. The release workflow works exactly the same for RC, post, dev, etc.

Check and Test Jobs

This is our test suite.

• check-pytest: runs pytest on matrix of platforms
• check-python: runs ruff (format and lint)
• check-frontend: runs prettier (format), eslint (lint), madge (circular refs) and tsc (static type check)

TODO We should add mypy or pyright to the check-python job.

TODO We should add an end-to-end test job that generates an image.

build Job

This sets up both python and frontend dependencies and builds the python package. Internally, this runs installer/create_installer.sh and uploads two artifacts:

• dist: the python distribution, to be published on PyPI
• InvokeAI-installer-${VERSION}.zip: the installer to be included in the GitHub release

Sanity Check & Smoke Test

At this point, the release workflow pauses (the remaining jobs all require approval).

A maintainer should go to the Summary tab of the workflow, download the installer and test it. Ensure the app loads and generates.

The same wheel file is bundled in the installer and in the dist artifact, which is uploaded to PyPI. You should end up with the exactly the same installation of the invokeai package from any of these methods.

PyPI Publish Jobs

The publish jobs will skip if any of the previous jobs skip or fail.

They use GitHub environments, which are configured as trusted publishers on PyPI.

Both jobs require a maintainer to approve them from the workflow's Summary tab.

• Click the Review deployments button
• Select the environment (either testpypi or pypi)
• Click Approve and deploy

If the version already exists on PyPI, the publish jobs will fail. PyPI only allows a given version to be published once - you cannot change it. If version published on PyPI has a problem, you'll need to "fail forward" by bumping the app version and publishing a followup release.

publish-testpypi Job

Publishes the distribution on the Test PyPI index, using the testpypi GitHub environment.

This job is not required for the production PyPI publish, but included just in case you want to test the PyPI release.

If approved and successful, you could try out the test release like this:

# Create a new virtual environment
python -m venv ~/.test-invokeai-dist --prompt test-invokeai-dist
# Install the distribution from Test PyPI
pip install --index-url https://test.pypi.org/simple/ invokeai
# Run and test the app
invokeai-web
# Cleanup
deactivate
rm -rf ~/.test-invokeai-dist

publish-pypi Job

Publishes the distribution on the production PyPI index, using the pypi GitHub environment.

Publish the GitHub Release with installer

Once the release is published to PyPI, it's time to publish the GitHub release.

1. Draft a new release on GitHub, choosing the tag that triggered the release.
2. Write the release notes, describing important changes. The Generate release notes button automatically inserts the changelog and new contributors, and you can copy/paste the intro from previous releases.
3. Upload the zip file created in build job into the Assets section of the release notes. You can also upload the zip into the body of the release notes, since it can be hard for users to find the Assets section.
4. Check the Set as a pre-release and Create a discussion for this release checkboxes at the bottom of the release page.
5. Publish the pre-release.
6. Announce the pre-release in Discord.

TODO Workflows can create a GitHub release from a template and upload release assets. One popular action to handle this is ncipollo/release-action. A future enhancement to the release process could set this up.

Manually Running the Release Workflow

The release workflow can be run manually. This is useful to get an installer build and test it out without needing to push a tag.

When run this way, you'll see Skip code checks checkbox. This allows the workflow to run without the time-consuming 3 code quality check jobs.

The publish jobs will skip if the workflow was run manually.