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This release of InvokeAI offers support for a variety of new models, including those that are remotely hosted by external providers such as GPT Image. In addition, it provides a host of new and improved features as well as bug fixes.

New Locally-Hosted Models

We've added support for the popular Qwen Image models, both the txt2img and edit versions, as well as Anima.

Qwen Image 2.5

This is a high quality txt2img model that can be run either on your local hardware are on a remotely hosted service (see Hosted Models. We provide starters for the full model (~40 GB!) as well as multiple smaller quantized models. For best results, we recommend 30-40 steps and a CFG of 3-4. We also provide two "turbo" LoRA models, Qwen Image Lightning (4-steps) and Qwen_Image_Lightning (8-steps). These LoRAs provide fast rendering and high accuracy, but loss of diversity. Use a CFG of 1 and a Shift of 3 when applying either of these LoRAs.

Qwen Image Edit 2.5

This is a version of Qwen Image that is optimized for image editing. Add up to three reference images and tell the model on how to combine and alter them using declarative statements such as "Pose the duck on the table". We provide the full model as a starter, along with multiple quantized versions and two Qwen Image Edit Lightning LoRAs for turbo mode.

See Qwen-Image-Edit: Image Editing with Higher Quality and Efficiency for tips on using Qwen Image Edit effectively.

Anima Preview 3

Anima is an anime-themed model created by a collaboration between CircleStone Labs and Comfy Org. It is able to produce a wide variety of illustration styles. There is also an Anima Turbo LoRA that can be used to speed up rendering using a CFG of 1 and 8-12 steps.

You'll find Anima and its support models in the Starter Models tab.

New Externally-Hosted Models

This version of InvokeAI offers the ability to generate using externally-hosted models, such as those provided by OpenAI, Google and cloud-based AI generation hosting services. You "install" these models by providing an API key provided by a service that you subscribe to. Typically image generation services will provide a number of generations for free and then start charging on a pay-as-you-go basis. We support externally-hosted models from OpenAI, Gemini (Google), BytePlus, and Alibaba Cloud.

An externally-hosted model works much like a locally-hosted one but with restrictions. In general, you cannot adust steps, scheduler or CFG, and only a limited number of image dimensions are supported. Both txt2img and img2img modes are supported, and the models can be applied to the Canvas and Workflow editor. However inpainting, outpainting, controlnets, LoRAs, regional guidance, and the ability to apply different levels of denoising to img2img are not available. These are limitations imposed by the hosting service and not by InvokeAI.

To get started with externally-hosted models, go to the Models tab and select External Providers. Select the hosting service you wish to use and enter your API key. Click Save and the models supported by this provider will be added to your collection of models.

Models available from OpenAI

  • GPT Image 1
  • GPT Image 1.5
  • GPT Image 1 Mini
  • DALL-E 3

Models available from Gemini (Google)

  • Gemini 2.5 Flash Image
  • Gemini 3 Pro Image Preview
  • Gemini 3.1 Flash Image Preview

Models available from BytePlus

  • Seedream 3.0 T2I
  • Seedream 4.0
  • Seedream 4.5
  • Seedream 5.0 Lite

Models available from Alibaba Cloud

  • Qwen Image 2.0 Pro
  • Qwen Image 2.0
  • Qwen Image Max
  • Qwen Image Edit Max
  • Wan 2.6 Text-to-Image

Model Manager Improvements

This version improves the Model Manager in several ways. When installing a new model, the installation queue display and progress bars have been completely rewritten to be more functional and attractive. A new bulk reidentify action has been implemented, and it is now possible to sort the model listing in multiple ways.

Image Generation Improvements

Users now have access to LLM-powered prompt expansion and image-to-prompt features. You will find two new buttons in the prompt textfield:

  • Expand Prompt uses a local TextLLM model to expand brief prompts into detailed image generation prompts. This button will replace a simple prompt with a complex one that is well-suited for producing high quality imagery.
  • Image to Prompt Generates descriptive prompts from uploaded images. Use it as a supplement to reference images.

To use these features, you must first install a causal LM model, such as Qwen/Qwen2.5-1.5B-Instruct via the Model Manager (enter this repo name into the HuggingFace tab). The LLaVA vision model needed for image to prompt should already be installed.

In addition, this release corrects many small bugs and performance bottlenecks in image generation.

Image Gallery Improvements

You can now automatically create "virtual" boards that group images according to their characteristics. The only grouping currently available is by date, but more options are on their way.

Canvas Improvements

There have been several new features added to the Canvas. One frequently-requested feature is the ability to hide and show the preview stage thumbnails that can obscure the bottom of the canvas. Another feature is the addition of a Lasso Tool with freehand and polygon modes for creating inpaint masks and selecting raster image regions.

Also among multiple new features is the ability to apply custom workflows directly to a Canvas image. First create a workflow with an image input field in the Form Builder and a Canvas Output node. Right click on the canvas and select Run Workflow. The workflow will run on the input image and create a new layer containing the output of the Canvas Output node.

Workflow Editor and Nodes

There is now a Custom Node Manager tab in the left-hand panel which allows you to install and manage related groups of nodes organized into node packs. Node packs can be installed from local files or URLs.

When adding a node to a workflow, you will find that the nodes are now organized by function with an easy to navigate node picker. Another convenient new feature is the workflow connector, a new type of edge that can be used to connect two or more input/output fields in a highly flexible fashion. To start using this feature, right click on the canvas and select Add Connector.

Internally the workflow execution engine has been overhauled and optimized to improve performance and stability. In addition, there are a number of new user-visible features. There are new generation nodes for running external models, new denoising nodes for the Qwen Image and Anima local models, and a node for decoding invisible watermarks in images. The Collect node now supports chaining to enable deterministic iteration over the items in a collection. A new If mode allows for conditional branching of workflows.

Multiuser Features

When running in Multiuser Mode each logged-in user can create private (only visible to the owner), shared (writable by the owner, readable by everyone else) and public (read/write for everyone) image boards. Similarly, users can now create private and shared workflows.

Documentation

The Documentation Site has been completely redesigned and overhauled.

What's Changed in Detail

Below is a log of all changes from the previous version. Many thanks to all the authors who contributed to this release.

Models and Model Manager

Image Generation

Image Gallery & Image Storage

Canvas

Workflow Editor and Nodes

Multiuser

Internationalizaton

Thanks to Dmitry Warkentin, Gohsuke Shimada, and Riccardo Giovanetti (@Harvester62) for contributing Russian, Japanese, and Italian translations, respectively.

Documentation

Miscellaneous

New Contributors

Full Changelog: https://github.com/invoke-ai/InvokeAI/compare/v6.8.0...v6.13.0

Source: README.md, updated 2026-05-27