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v6.13.8

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@lstein lstein released this 13 Aug 21:35
v6.13.8
eb72163

InvokeAI Version 6.13.8

⚠️ This is a security patch release

Recent versions of InvokeAI through 6.13.7 contain two security holes:

  1. An attacker can craft a URL payload that overwrites files in the server's custom nodes directory, allowing for execution of arbitrary code on the next startup. On Windows systems, the hole could allow an arbitrary file to be placed anywhere on the filesystem that the server has access to.
  2. A second bugs allows the server to be tricked into connecting to arbitrary networks and services on the local LAN or the Internet.

Both scenarios are closed by this release, and InvokeAI users are strongly encouraged to upgrade.

Many thanks to Abhinash Singh and Arpit Jain for independently reporting issue #1.

Full Changelog: v6.13.7...v6.13.8

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InvokeAI 6.14.0 (release candidate 1)

InvokeAI 6.14.0 (release candidate 1) Pre-release
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@lstein lstein released this 31 Jul 17:38
v6.14.0-rc1
6547776

This is a big release that adds many new user visible features including:

  • Video generation support via Wan 2.2.
  • Krea.2-Turbo and Raw model support
  • Ernie Turbo model support
  • Ideogram 4 support
  • Anima controlnets and inpainting
  • Multi-GPU support

Video Generation

You can now generate short videos using the Wan 2.2 video model. We support text-to-video, image-to-video (use a still image to initiate the video), and image-to-image-video (interpolate video between two images). Video generation is available through the workflow editor, and includes a series of template workflows that allow you to generate videos and concatenate them together into longer productions. See Video Generation to get started.

New models

We now provide support for Krea.2-Turbo, Krea.2-Raw, Ernie Image Turbo, and Ideogram 4.

These are pure text-to-image models (no image editing capabilities). and LoRA/ControlNet/IPAdapter support is being rolled out in stages. Not all LoRAs will currently load. Please report those that don't in Issues.

Current capabilities are:

Model Text-to-Image Image-to-Image Inpainting Outpainting Negative Prompting Reference Images Regional Guidance LoRAs ControlNets
Krea-2-Turbo ✅ ✅ ✅ ✅ ⚠️ needs CFG > 1 (off-spec for Turbo) ❌ ⚠️ positive only ✅ ❌
Krea-2-Raw ✅ ✅ ✅ ✅ ✅ (CFG > 1) ❌ ⚠️ positive only ✅ ❌
Ernie-Image-Turbo ✅ ❌ ❌ ❌ ✅ (CFG > 1) ❌ ❌ ❌ ❌
Ideogram-4 ✅ ❌ ❌ ❌ ❌ ❌ ⚠️ prompt + bbox only ❌ ❌
Anima ✅ ✅ ✅ ✅ ✅ (CFG > 1) ❌ ✅ pos + neg ✅ ✅

Notes

  • Krea-2-Turbo vs Krea-2-Raw — identical feature support; they share one graph builder. The difference is sampling: Turbo is the distilled checkpoint (~8 steps, guidance disabled, fixed mu), Raw is undistilled (~28 steps, CFG ~4.5, dynamic mu).
  • Krea-2 negative prompting — honored only when CFG > 1. The variant does not gate CFG, so the negative prompt is live on Turbo too, but Turbo is meant to run with guidance off; raising CFG to reach the negative prompt is off-spec and degrades output.
  • Krea-2 regional guidance — regional positive text only. Regional negative prompts, auto-negative, and regional reference images raise "unsupported" warnings on canvas. The denoise node supports masked negative conditioning in workflows; the canvas graph does not wire it.
  • Ernie-Image-Turbo — text-to-image only. The denoise node has no denoise_mask input, so masked modes are impossible and image-to-image is not offered; any non-txt2img mode is rejected at graph build. Global negative prompt and the built-in prompt enhancer are supported.
  • Ideogram-4 — text-to-image only; raster layers or inpaint masks with content block generation before enqueue. There is no negative prompt at any CFG: the sampler uses asymmetric CFG with a zeroed unconditional branch, so the denoise node has no negative conditioning input. Regional guidance contributes a positive prompt plus a bounding box to the structured JSON caption; regional negatives, auto-negative, and reference images are dropped with warnings.
  • Anima ControlNets — via kohya-ss's ControlNet-LLLite adapters (8–66 MB), available as one-click starter installs: sketch (mixed scribble/HED/lineart/grayscale), depth, scribble, lineart, and pose. Control layers work the same way as for other model families. Note that the depth/scribble/lineart/pose adapters were trained on the Preview3 build and are weaker on Anima Base 1.0 — the mixed-conditioning sketch adapter is the strongest general-purpose choice. Each LLLite model may be applied only once per generation. A separate LLLite Inpaint Adapter (Advanced settings) conditions the model on surrounding image content during inpainting/outpainting for cleaner seams.
  • Reference images — unsupported across all five. Anima is explicitly rejected in the canvas validators; the other four have no IP-adapter model config for their base and no IP-adapter wiring in their graph builders.

Multi-GPU Support

If you are lucky enough to have two or more GPUs installed in your system, you can configure InvokeAI to parallelize generation across the GPUs. Two or more queued generation jobs will execute simultaneously on the GPUs, and the preview screen will be split into tiles to show you the progress of each rendering job. This also works when multiple users are logged in: the system will split GPU time fairly among users in a round-robin fashion. If only one generation is queued, then its model's text encoder will be run on one GPU and the denoiser will run on another, thereby preventing the denoiser from evicting the encoder from VRAM and speeding up the rendering of subsequent images (credits to jacid23 for this concept).

Other Features

  • Performance improvements:
    • We have improved the VRAM consumption estimates for multiple models, which should reduce the number of OOMs.
    • VAEs can now be run on the CPU, reducing the amount of VRAM contention, similar to the text encoders. You can set this option by selecting the VAE in the Model Manager.
    • Improved support for LoRA sliders. We now support UNet-only sliders. In addition, you can now edit the sliders' min, max and default values from within the Model Manager.
  • Canvas improvements:
    • Pressure-sensitive brush opacity on tablets and touch screens.
    • Fine-grid hint added to move tool.
    • A new transparency lock for Gradients and Shapes.
    • Clip Strokes have been extended to the Bbox and Rect/Oval shapes.
  • Workflow management:
    • Graph execution has been optimized, speeding up complex workflows.
    • There is now a LoRA collection picker node which allows you to stack multiple LoRAs together without adding additional nodes.
    • You can now call one workflow from another, making it easier to create and maintain complex workflows.

And lots more! See below for a complete list of What's New in this release.

Installation and Upgrading

See Installation for various ways to install and run InvokeAI.

What's Changed

  • chore(version): bump version by @lstein in #9318
  • Add crash-recoverable image storage maintenance for moving existing images into the active image_subfolder_strategy by @JPPhoto in #9165
  • feat(lora): per LoRA-model configurable weight range by @lstein in #9154
  • fix(qwen): estimate Qwen Image VAE working memory so the cache frees room before decode/encode by @lstein in #9305
  • Add database migration discovery and graph-based precedence by @JPPhoto in #9319
  • Creation of Videos help document by @sarashinai in #6235
  • [feat] Round robin job scheduling in multiuser mode by @lstein in #9086
  • docs: add 3d party GPU hosting services by @lstein in #9299
  • fix(qwen): remap legacy single-file VL encoder keys under transformers 5.x by @Pfannkuchensack in #9333
  • Improve image collection chaining by @JPPhoto in #9168
  • Feature: Add the ability to call a saved workflow from another by @JPPhoto in #9093
  • feat(nodes): Add a LoRA collection picker node that selects and applies an indefinite number of LoRAs by @lstein in #9259
  • fix(ui): make punctuation hotkeys layout-independent by @DustyShoe in #9174
  • feat(anima) - Anima Performance Improvements by @kappacommit in #9220
  • chore(docs): make sponsor button more visible by @lstein in #9340
  • test(model-loaders): add regression tests for checkpoint key-remapping by @Pfannkuchensack in #9336
  • fix(ui): clarify model defaults toast by @YUHAO-corn in #9198
  • Chore(development): broaden codeowners by @lstein in #9329
  • chore(release): bump version to 6.14.0-alpha by @lstein in #9335
  • Feat:(mm) model settings export metadata thumbnail by @Pfannkuchensack in #9188
  • docs: fix git-lfs link formatting in dev environment guide by @wunianze666-netizen in #9322
  • Fix workflow library unsupported badge by @JPPhoto in #9341
  • Fix nested collector iteration scope by @JPPhoto in #9343
  • fix: bump launcher ROCm torch index from rocm6.3 to rocm7.1 by @chejh-amd in #9337
  • Handle missing queue items in session failure by @mickr777 in #9350
  • perf: reduce PNG encoding time for high-entropy images by @dexhunter in #9346
  • Fix session processor crash when a queue item is deleted while running by @lstein in https://github.com/invoke-ai/Invoke...
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Contributors

lstein, FrankBro, and 13 other contributors
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v6.13.7

v6.13.7

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@lstein lstein released this 21 Jul 23:48
v6.13.7
8d70708

InvokeAI Version 6.13.7

⚠️ This is a security patch release

All recent versions of InvokeAI through 6.13.6 contain a security hole that potentially allows an attacker to recover the contents of the running instance's invokeai.yaml and api_keys.yaml files. These files can contain sensitive data including API keys for image generation hosting services and API download tokens for HuggingFace and other model download sites.

Your keys/tokens may have been compromised if:

  1. Your invokeai.yaml file contains download API tokens for any model provider (e.g. Civitai, HuggingFace),
  2. Your api_keys.yaml file contains API keys for one or more remote image generation services (e.g. Alibaba, OpenAI),
  3. At any point, you set the listen host to 0.0.0.0 to enable network access to your InvokeAI machine, and
  4. Either you exposed the InvokeAI machine to the Internet, or you share your LAN with untrusted individuals.

In the event that these apply to you, or just to be safe, please upgrade to version 6.13.7 and rotate your API tokens and keys.

👉 Note: The InvokeAI team discourages opening your InvokeAI host to the internet. If you choose to do so, we recommend that 1) you use the multiuser configuration and pick strong passwords; and 2) that you isolate the InvokeAI instance in a Docker container. 👈

Additional security fixes

This patch also closes a series of related but less critical security issues:

  • Leakage of model paths: An attacker could recursively enumerate the paths of all models and model-like files, in an arbitrary directory on the Invoke server's filesystem.
  • Testing existence of arbitrary paths: An attacker could also determine whether a certain file is present on the Invoke server's filesystem, even if it wasn't a model file.
  • Administrator functions available to regular users: In multiuser mode, several functions intended for the use of Administrator users were available for use by unprivileged users. Not an obvious security hole, but a potential problem.

Many thanks to George Chen (@geo-chen), for reporting the original issue.

Full Changelog: v6.13.6...v6.13.7

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geo-chen
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InvokeAI v6.13.6

InvokeAI v6.13.6

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@lstein lstein released this 05 Jul 19:49
v6.13.6
0b8ddad

This is a patch release.

It corrects a bug introduced in v6.13.5 that caused Qwen Image and Qwen Image Edit models to crash with a dictionary key error when used with the default single-file Qwen 2.2 VL Encoder.

Please see https://github.com/invoke-ai/InvokeAI/releases/tag/v6.13.5 for information on what's in this release.

Full Changelog: v6.13.5...v6.13.6

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InvokeAI v6.13.5

InvokeAI v6.13.5

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@lstein lstein released this 04 Jul 22:53
v6.13.5
9a3bd1d

This is a maintenance release of InvokeAI focused on bug fixes and stability. Version 6.14.0 will be the next major feature release, featuring video generation, multiple GPU support, the Wan 2.2 image and video models, pressure-sensitive canvas, HiDiffusion integration, workflow to workflow calls, and much more.

Here are the highlights of the current release:

Updated Libraries

Major Bug Fixes

  • Fix the image viewer progress preview behavior when selecting a gallery image during image generation. @JPPhoto
  • Save and restore both positive and negative prompt history for SD images. @DustyShoe
  • Fix crash when a LoRA was applied to a Flux.2 4B/9B Diffusers model loaded with FP8 storage. @Pfannkuchensack
  • Restore the X/Y queue badges when running in multiuser mode. @lstein
  • Prevent main panel from being squeezed out of existence on small screens. @lstein
  • Gallery maintenance script updated to correctly handle nested image subfolders when structured image directory activated. @lstein
  • Fix crash when using a Z-Image model with regional guidance. @Pfannkuchensack
  • Prevent crash when Heun (2d order) sampler applied to a FLUX.2 Klein model with reference images. @Pfannkuchensack
  • Prevent hang when an unknown wildcard was passed to the dynamic prompt processor. @Pfannkuchensack

New Features

Documentation

Full List of Changes

New Contributors

Full Changelog: v6.13.0...v6.13.5

Contributors

keturn, lstein, and 11 other contributors
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InvokeAI v6.13.5 (release candidate 1)

InvokeAI v6.13.5 (release candidate 1) Pre-release
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@lstein lstein released this 30 Jun 01:22
v6.13.5.rc1
b70f81f

This is a maintenance release of InvokeAI focused on bug fixes and stability. Version 6.14.0 will be the next major feature release, featuring video generation, multiple GPU support, the Wan 2.2 image and video models, pressure-sensitive canvas, HiDiffusion integration, workflow to workflow calls, and much more.

Here are the highlights of the current release:

Updated Libraries

Major Bug Fixes

  • Fix the image viewer progress preview behavior when selecting a gallery image during image generation. @JPPhoto
  • Save and restore both positive and negative prompt history for SD images. @DustyShoe
  • Fix crash when a LoRA was applied to a Flux.2 4B/9B Diffusers model loaded with FP8 storage. @Pfannkuchensack
  • Restore the X/Y queue badges when running in multiuser mode. @lstein
  • Prevent main panel from being squeezed out of existence on small screens. @lstein
  • Gallery maintenance script updated to correctly handle nested image subfolders when structured image directory activated. @lstein
  • Fix crash when using a Z-Image model with regional guidance. @Pfannkuchensack
  • Prevent crash when Heun (2d order) sampler applied to a FLUX.2 Klein model with reference images. @Pfannkuchensack
  • Prevent hang when an unknown wildcard was passed to the dynamic prompt processor. @Pfannkuchensack

New Features

Documentation

Full List of Changes

New Contributors

Full Changelog: v6.13.0...v6.13.5.rc1

Contributors

keturn, lstein, and 11 other contributors
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InvokeAI 6.13.0

InvokeAI 6.13.0

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@lstein lstein released this 27 May 12:30
v6.13.0
4554e85

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.

Installation

See Installation for installation instructions and troubleshooting.

What's New

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

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Contributors

lstein, GGSSKK, and 22 other contributors
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Version 6.13.0.rc3

Version 6.13.0.rc3 Pre-release
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@lstein lstein released this 16 May 00:47
v6.13.0.rc3
e4ba597

InvokeAI v6.13.0 (release candidate 3)

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. Right now you can only create virtual boards that group images by their 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 called 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. However, be aware that the documentation for some of the newer features has not yet been ported over to the new site, and can be found here.

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

Read more

Contributors

lstein, GGSSKK, and 13 other contributors
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Version 6.13.0.rc2

Version 6.13.0.rc2 Pre-release
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@lstein lstein released this 09 May 00:46
v6.13.0.rc2
deb6572

InvokeAI v6.13.0 (release candidate 2)

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, and Gemini (Google).

The full release will add support for models from 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

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. Right now you can only create virtual boards that group images by their 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 called 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. However, be aware that the documentation for some of the newer features has not yet been ported over to the new site, and can be found here.

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

Read more

Contributors

lstein, GGSSKK, and 13 other contributors
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v6.13.0rc1

v6.13.0rc1 Pre-release
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@lstein lstein released this 30 Apr 21:42
v6.13.0.rc1
e0dd000

InvokeAI v6.13.0 (release candidate 1)

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, and Gemini (Google).

The full release will add support for models from 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

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. Right now you can only create virtual boards that group images by their 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 called 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. However, be aware that the documentation for some of the newer features has not yet been ported over to the new site, and can be found here.

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

Read more

Contributors

lstein, GGSSKK, and 13 other contributors
Loading