# Invoke - Professional Creative AI Tools for Visual Media
#### To learn more about Invoke, or implement our Business solutions, visit [invoke.com]
[![discord badge]][discord link] [![latest release badge]][latest release link] [![github stars badge]][github stars link] [![github forks badge]][github forks link] [![CI checks on main badge]][CI checks on main link] [![latest commit to main badge]][latest commit to main link] [![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link] [![translation status badge]][translation status link]
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 |
| Quick Start -> [Installation and Updates][installation docs] | More Information -> [www.invoke.com/pricing](https://www.invoke.com/pricing) |
# Documentation
| **Quick Links** |
|----------------------------------------------------------------------------------------------------------------------------|
| [Installation and Updates][installation docs] - [Documentation and Tutorials][docs home] - [Bug Reports][github issues] - [Contributing][contributing docs] |
## Quick Start
1. Download and unzip the installer from the bottom of the [latest release][latest release link].
2. 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`.
3. When prompted, enter a location for the install and select your GPU type.
4. 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.
5. 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.
6. Select option 1 to start the application. Once it starts up, open your browser and go to .
7. 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][installation docs].
## Docker Container
We publish official container images in Github Container Registry: https://github.com/invoke-ai/InvokeAI/pkgs/container/invokeai. Both CUDA and ROCm images are available. Check the above link for relevant tags.
> [!IMPORTANT]
> Ensure that Docker is set up to use the GPU. Refer to [NVIDIA][nvidia docker docs] or [AMD][amd docker docs] documentation.
### Generate!
Run the container, modifying the command as necessary:
```bash
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](./docker/README.md) in the [docker](./docker) directory.
## Troubleshooting, FAQ and Support
Please review our [FAQ][faq] for solutions to common installation problems and other issues.
For more help, please join our [Discord][discord link].
## Features
Full details on features can be found in [our documentation][features docs].
### Web Server & UI
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, and SDXL 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.
Get started with contributing by reading our [contribution documentation][contributing docs], joining the [#dev-chat] or the GitHub discussion board.
We hope you enjoy using Invoke as much as we enjoy creating it, and we hope you will elect to become part of our community.
## Thanks
Invoke is a combined effort of [passionate and talented people from across the world][contributors]. We thank them for their time, hard work and effort.
Original portions of the software are Copyright © 2024 by respective contributors.
[features docs]: https://invoke-ai.github.io/InvokeAI/features/
[faq]: https://invoke-ai.github.io/InvokeAI/help/FAQ/
[contributors]: https://invoke-ai.github.io/InvokeAI/other/CONTRIBUTORS/
[invoke.com]: https://www.invoke.com/about
[github issues]: https://github.com/invoke-ai/InvokeAI/issues
[docs home]: https://invoke-ai.github.io/InvokeAI
[installation docs]: https://invoke-ai.github.io/InvokeAI/installation/INSTALLATION/
[#dev-chat]: https://discord.com/channels/1020123559063990373/1049495067846524939
[contributing docs]: https://invoke-ai.github.io/InvokeAI/contributing/CONTRIBUTING/
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[nvidia docker docs]: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
[amd docker docs]: https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/docker.html