github invoke-ai/InvokeAI v3.4.0post2
InvokeAI v3.4.0post2

latest releases: v4.2.1, v4.2.0, v4.2.0b2...
5 months ago

InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry-leading web interface and also serves as the foundation for multiple commercial products.

To learn more about InvokeAI, please visit our Documentation or join our Discord server!

Post Release Notes

  • Fixed LoRAs being applied twice (3.4.0post2)
  • Fixed a bug with generations that prevented Image to Image generations from running successfully. (3.4.0post1)

🌟 What's New in 3.4.0:

  • LCM-LoRAs are now natively supported supported in InvokeAI. See the note in Things to Know below.
  • Community Nodes can now be installed by adding them to the nodes folder of the InvokeAI installation
  • Core Nodes can be automatically updated via the Workflow Editor
  • Large performance improvements: reduced LoRA & text encoder loading times, improved token handling
  • HiRes Fix is has returned!
  • FreeU is supported for workflows
  • ControlNets & T2I-Adapters can now be used together
  • Multi-Image IP-Adapter is now available in Nodes Workflows (Instant LoRA!)
  • Intermediate images are no longer saved to disk
  • ControlNets in .safetensors format are now able to be used (SD1.5 & SD2 only). See the note in Things to Know below.
  • VAE is now able to be recalled with "Use All"
  • Color Picker Improvements
  • Expanded translations (Dutch, Italian and Chinese are almost entirely complete!)
  • InvokeAI now uses Pydantic2 and the latest FastAPI, making certain functions (like Iterate nodes) much more efficient.

‼️ Things to Know:

  • InvokeAI only supports Python 3.10 and 3.11. Earlier versions are not supported, and 3.12 is not supported at the current time. Please upgrade your Python environment if you are using an older version.
  • Some users are having issues with PyTorch updates when updating to 3.4. If you encounter an error starting with WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions, open the developer console (option 7) from the launcher and run pip install --force-reinstall torch==2.1.0 --index-url https://download.pytorch.org/whl/cu121
  • Community nodes that were previously installed in the .venv will need to be moved to the nodes folder at the root level of the InvokeAI installation.
  • LCM-LoRAs are natively supported in diffusers format can be downloaded through the model manager using the HuggingFace RepoID. LCMs are supported through a custom node and can be added manually.
  • To support .safetensors ControlNets for SD1.5 & SD2, select option [6] from the launcher to "Re-run the configure script to fix a broken install or to complete a major upgrade".

💿 Installation and Upgrading:

To install version 3.4.0, please download the zip file at the bottom of the release notes (under "Assets"), unpack it, and then double-click to launch the script install.sh (Macintosh, Linux) or install.bat (Windows). Alternatively, you can open a command-line window and execute the installation script directly.

If you already have InvokeAI version 3.x installed, you can update by running invoke.sh / invoke.bat and selecting option [9] to upgrade, or you can download and run the installer in your existing InvokeAI installation location.

🚨 Please ensure your generation queue is has no pending items before upgrading. Pending generations may fail after an upgrade. 🚨

Download the installer: InvokeAI-installer-v3.4.0post2.zip

⚙️ Contributing:

As a community-supported project, we rely on volunteers and enthusiasts for continued innovation and polish. Everything from minor documentation fixes to major feature additions is welcome. To get started as a contributor, please refer to How to Contribute or reach out to imic on Discord!

New Contributors

Full Changelog: 3.4.0post1...v3.4.0post2

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