Major Release: May 9

Aligned with v4.2.0 of the Community Edition

Control Layers

Control Layers give you control over specific areas of the image by using the new Regional Guidance Layer type. Draw a mask and set a positive prompt, negative prompt, or any number of IP Adapters to be applied to the masked region. Global layers like Control Adapters (ControlNet & T2I Adapters), IP Adapters, and Initial Images are visualized on the canvas.

You can learn more about Control Layers by reviewing the help article.

❗ Interface Changes

A few important changes have been made to the interface as part of this release.

• Control Adapters and IP Adapters are now added to generations by using the Control Layers tab in the options panel.
• The Image to Image tab has been deprecated, and this functionality has been embedded into the Generation Tab - Simply add a Global Initial Image Layer
• With the addition of the Control Layers interface, the Image Viewer and Control Layers interface can be swapped between manually on the Generation tab by clicking the Switch View button on the top right of your workspace, or using the Z hotkey.

Patch Notes for v4.2.0

Enhancements

• Control Layers
• Added TCD scheduler for latest generation of SDXL hypermodels.
• Image viewer & UI updates

Fixes

• Fixed inpainting models on canvas
• Fixed SDXL Checkpoint Inpainting models
• Fixed Control Adapter processors' image size constraints

Major Release: April 10

This release introduces minor updates to how the system processes image generation requests, which improves the responsivity of user requests, as well as the speed of image generations.

Improvements

• (Beta) Regional Prompting: As a beta feature, Regional Prompting capabilities have been added to both IP-Adapter and Denoise Latents nodes in the workflow editor. More information (and an interface) coming soon!
• Refiner Inpainting: For users utilizing SDXL, the Refiner now is utilized effectively during inpainting processes.
  
• Project Invites: You can now invite users to projects directly - Get started easier and quicker than ever!
  

Major Release: April 4

This release introduces major changes to our model management system offering advanced customization capabilities on a per model level, as well as some updates to how models are tracked in order to provide additional model-level visibility and control.

Improvements

• Custom Model Defaults: You can now set a number of defaults on a per-model basis directly within model settings. You'll never have to remember the precise settings you need for any of your models.
• Prompt Triggers: On both Main Models and Concept Models (LoRAs), you can now configure prompt triggers. Whether you use this for required terms in using that model, or are configuring default prompts that you want to use when accessing the model, you can type the < key in the prompt box to get an easy type-ahead menu for adding the prompt to your workflow.

Major Release: March 26

This release introduces significant updates to how the system processes image generation requests, which improves the responsivity of user requests, as well as the speed of image generations.

Improvements

• Speed Increases: Optimizing the system for speed - Everything should feel just a bit snappier, and generation times should be shorter.
  

Major Release: March 21

This release introduces significant updates to the operational efficiency of image generations, as well as novel mechanisms for the Unified Canvas.

Improvements

• Gradient Denoising - Canvas: The Canvas now has vastly improved speed and quality for inpainting on the Unified Canvas. Some updates have been made to the Compositing settings to control this new feature, and the previous process which leveraged two denoising steps has been deprecated in favor of this more efficient and effective workflow.
  

Major Release: February 12

This release introduces significant updates to VRAM cache management, monitoring capabilities, and security enhancements, along with improvements to database interactions and error handling. These changes aim to improve performance, usability, and security of the software.

Improvements

• VRAM Cache management : Enhanced VRAM cache management for improved performance and efficiency in resource utilization.
• Browser Security Enhancements: Implemented additional security protocols into the UI to enhance security against common web vulnerabilities
• Save Finished Queue Items to DB: Improved the reliability of saving finished queue items to the database, enhancing data persistence and integrity.
• Improved Error Handling on Invoke Stats: Enhanced error handling mechanisms in Invoke Stats for more robust and informative error feedback.

Major Release: February 5

This release introduces an entirely new Workflow capabilities - Libraries! With the Library, you have an easy to use mechanism for sharing and deploying workflows across your teams.

New Features

Workflow Library

• Description: Users now have the ability to share workflows with other members of their project, allowing for easy loading/editing of the project workflow library.

Improvements

• Image Generation Speed Enhancement: We've changed the way we store images in order to improve the generation time on your end!
• Canvas Hotkey Enhancements: We've implemented new Canvas hotkeys, helping users change brush size and more with an easier set of interactions (Ctrl+scroll up and down to change your brush size, Press space to move the bounding box from any tool, etc.)
• LoRA Toggle: You can now enable or disable LoRAs without having to remove them entirely!

Major Release: January 30th

This release introduces significant updates to VRAM cache management, monitoring capabilities, and security enhancements, along with improvements to database interactions and error handling. These changes aim to improve performance, usability, and security of the software.

Improvements

• UX Feedback: We heard the feedback and tackled a lot of small enhancements to the new UI/UX. We're happy to see it was so well received, and are confident the updates made (things like settings defaults, tooltips, and queue management have all seen updates based on your feedback)
• Width/Height by Model Architecture: Switching models now resets width/height based on the architecture type of this is different than the previous model.

Bug Fixes

• Width/Height Fixes: Updating width/height from images now accurately updates the visual indication in the aspect ratio setting
• Panel Resizing: Now when users resize the browser, panels will maintain the smallest possible size. Previously, they were expanding and taking up more space than desired.

Major Release: January 16th

This release marks a significant milestone for our platform as we embark on a journey to better serve businesses and enterprises by addressing their deployment challenges for generative AI. With a major UI/UX overhaul reflecting our evolving brand identity, we reaffirm our commitment to our mission, team, and open-source software (OSS) principles. In addition to aesthetic improvements, this version brings a range of functional enhancements and bug fixes aimed at streamlining operations and enhancing user experience.

New Features

UI/UX Updates

• Description: A comprehensive redesign of our user interface and user experience to streamline the user experience

Improvements

• Placeholder Text for HF Upload: Improved clarity in the UI by introducing placeholder text for the Hugging Face upload feature, guiding users more intuitively through the upload process.
• Color Updates for Team Size Stepper: Enhanced the team size selection step in the UI with updated color schemes for better visibility
• User Context Updates on Name Change: Ensured that user context is automatically updated across the platform when a user changes their name, maintaining consistency and improving user experience.