Invoke is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. Invoke offers an industry leading web-based UI, and serves as the foundation for multiple commercial products.
Invoke is available in two editions:
Community Edition
Professional Edition
For users looking for a locally installed, self-hosted and self-managed service
For users or teams looking for a cloud-hosted, fully managed service
- Free to use under a commercially-friendly license
- Monthly subscription fee with three different plan levels
- Download and install on compatible hardware
- Offers additional benefits, including multi-user support, improved model training, and more
- Includes all core studio features: generate, refine, iterate on images, and build workflows
- Hosted in the cloud for easy, secure model access and scalability
Download and unzip the installer from the bottom of the latest release.
Run the installer script.
Windows: Double-click on the install.bat script.
macOS: Open a Terminal window, drag the file install.sh from Finder into the Terminal, and press enter.
Linux: Run install.sh.
When prompted, enter a location for the install and select your GPU type.
Once the install finishes, find the directory you selected during install. The default location is C:\Users\Username\invokeai for Windows or ~/invokeai for Linux/macOS.
Run the launcher script (invoke.bat for Windows, invoke.sh for macOS and Linux) the same way you ran the installer script in step 2.
Select option 1 to start the application. Once it starts up, open your browser and go to http://localhost:9090.
Open the model manager tab to install a starter model and then you'll be ready to generate.
More detail, including hardware requirements and manual install instructions, are available in the installation documentation.
[!IMPORTANT]
Ensure that Docker is set up to use the GPU. Refer to NVIDIA or AMD documentation.
Generate!
Run the container, modifying the command as necessary:
docker run --runtime=nvidia --gpus=all --publish 9090:9090 ghcr.io/invoke-ai/invokeai
Then open http://localhost:9090 and install some models using the Model Manager tab to begin generating.
For ROCm, add --device /dev/kfd --device /dev/dri to the docker run command.
Persist your data
You will likely want to persist your workspace outside of the container. Use the --volume /home/myuser/invokeai:/invokeai flag to mount some local directory (using its absolute path) to the /invokeai path inside the container. Your generated images and models will reside there. You can use this directory with other InvokeAI installations, or switch between runtime directories as needed.
DIY
Build your own image and customize the environment to match your needs using our docker-compose stack. See README.md in the docker directory.
Troubleshooting, FAQ and Support
Please review our FAQ for solutions to common installation problems and other issues.
Invoke runs a locally hosted web server & React UI with an industry-leading user experience.
Unified Canvas
The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/out-painting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated imagery, sketches, photography, renders, and more.
Workflows & Nodes
Invoke offers a fully featured workflow management solution, enabling users to combine the power of node-based workflows with the easy of a UI. This allows for customizable generation pipelines to be developed and shared by users looking to create specific workflows to support their production use-cases.
Board & Gallery Management
Invoke features an organized gallery system for easily storing, accessing, and remixing your content in the Invoke workspace. Images can be dragged/dropped onto any Image-base UI element in the application, and rich metadata within the Image allows for easy recall of key prompts or settings used in your workflow.
Other features
Support for both ckpt and diffusers models
SD1.5, SD2.0, SDXL, and FLUX support
Upscaling Tools
Embedding Manager & Support
Model Manager & Support
Workflow creation & management
Node-Based Architecture
Contributing
Anyone who wishes to contribute to this project - whether documentation, features, bug fixes, code cleanup, testing, or code reviews - is very much encouraged to do so.
