25b9c19eed
We were not handling node preparation errors as node errors before. Here's the explanation, copied from a comment that is no longer required: --- TODO(psyche): Sessions only support errors on nodes, not on the session itself. When an error occurs outside node execution, it bubbles up to the processor where it is treated as a queue item error. Nodes are pydantic models. When we prepare a node in `session.next()`, we set its inputs. This can cause a pydantic validation error. For example, consider a resize image node which has a constraint on its `width` input field - it must be greater than zero. During preparation, if the width is set to zero, pydantic will raise a validation error. When this happens, it breaks the flow before `invocation` is set. We can't set an error on the invocation because we didn't get far enough to get it - we don't know its id. Hence, we just set it as a queue item error. --- This change wraps the node preparation step with exception handling. A new `NodeInputError` exception is raised when there is a validation error. This error has the node (in the state it was in just prior to the error) and an identifier of the input that failed. This allows us to mark the node that failed preparation as errored, correctly making such errors _node_ errors and not _processor_ errors. It's much easier to diagnose these situations. The error messages look like this: > Node b5ac87c6-0678-4b8c-96b9-d215aee12175 has invalid incoming input for height Some of the exception handling logic is cleaned up.
Invoke - Professional Creative AI Tools for Visual Media
To learn more about Invoke, or implement our Business solutions, visit invoke.com
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.
Installation and Updates - Documentation and Tutorials - Bug Reports - Contributing
Quick Start
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Download and unzip the installer from the bottom of the latest release.
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Run the installer script.
- Windows: Double-click on the
install.batscript. - macOS: Open a Terminal window, drag the file
install.shfrom Finder into the Terminal, and press enter. - Linux: Run
install.sh.
- Windows: Double-click on the
-
When prompted, enter a location for the install and select your GPU type.
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Once the install finishes, find the directory you selected during install. The default location is
C:\Users\Username\invokeaifor Windows or~/invokeaifor Linux/macOS. -
Run the launcher script (
invoke.batfor Windows,invoke.shfor 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.
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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.
Troubleshooting, FAQ and Support
Please review our FAQ for solutions to common installation problems and other issues.
For more help, please join our Discord.
Features
Full details on features can be found in our documentation.
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, 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. We thank them for their time, hard work and effort.
Original portions of the software are Copyright © 2024 by respective contributors.