InvokeAI

“SD 1.5 SD 2.0 SDXL SD 3.5 Medium SD 3.5 Large CogView 4 Flux.1 Dev Flux.1 Schnell Flux.1 Kontext Flux.1 Krea Flux Redux Flux Fill Flux.2 Dev Flux.2 Klein 4B Flux.2 Klein 9B Z-Image Turbo Z-Image Base Krea 2 Turbo Krea 2 Raw Anima Qwen Image Qwen Image Edit Ideogram 4 ERNIE-Image ERNIE-Image-Turbo”

“AMD GPUs are supported on Linux only. The VRAM requirements are the same as Nvidia GPUs.”

“All Apple Silicon (M1, M2, etc) Macs work, but 16GB+ memory is recommended.”

“Intel Arc GPUs (Alchemist, Battlemage and newer) are supported on Windows and Linux x86_64.”

“Linux ARM64 (aarch64) devices — e.g. Raspberry Pi 5, other SBCs, ARM servers — are supported in CPU-only mode.”

“The Invoke launcher is the official launcher to install, update and manage your invoke installation.”

“The Launcher will check for updates for itself and Invoke.”

“Run the EXE to install the Launcher and start it.”

“The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/out-painting, brush tools, and more.”

“Use the image as a regional reference.”

“Create a regular raster layer from the dropped image.”

“Upscaling Tools”

“Invoke offers a fully featured workflow management solution, enabling users to combine the power of node-based workflows with the ease 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.”

“The workflow’s parameters are presented through the Form Builder UI when the workflow is launched from the canvas, so the workflow needs to have a form configured.”

“The Custom Node Manager allows you to install, manage, and remove community node packs directly from the InvokeAI UI — no manual file copying required.”

“Paste the Git URL of the node pack (e.g. https://github.com/user/my-node-pack.git)”

“When you first start InvokeAI, you’ll see a popup prompting you to install some starter models from the Model Manager.”

“HuggingFace: Paste a HF Repo ID to install it.”

“URL or Local Path: Provide the path to a model on your computer, or a direct link to the model.”

“External models let you generate images in Invoke by calling third-party image generation APIs instead of running a model locally.”

“External provider credentials are stored in a dedicated api_keys.yaml file alongside invokeai.yaml in your Invoke root directory.”

“OpenAI — GPT Image 1 / 1.5 / 1-mini, DALL·E 3”

“InvokeAI ships experimental support for the Wan 2.2 model family, which lets you generate short MP4 clips from a text prompt, an image, or both.”

“Each user has their own username and login password, images, assets, image boards, customization settings and workflows.”

“A user with Administrator status can add, remove and modify other users, and can install models.”

“Two types of users are recognized:”

“Apache License”

“All Apple Silicon (M1, M2, etc) Macs work, but 16GB+ memory is recommended.”

“Invoke runs on Windows 10+, macOS 14+ and Linux (Ubuntu 20.04+ is well-tested).”

“AMD GPUs are supported on Linux only. The VRAM requirements are the same as Nvidia GPUs.”

“All Apple Silicon (M1, M2, etc) Macs work, but 16GB+ memory is recommended.”

“Intel Arc GPUs (Alchemist, Battlemage and newer) are supported on Windows and Linux x86_64.”

“GPUs with less VRAM typically still work, if a bit slower.”

“Low-VRAM mode is enabled by default via the enable_partial_loading: true setting in invokeai.yaml.”

“Clone the repository into your nodes directory”

“Repo IDs look like this: XpucT/Deliberate.”

“Generations are routed to the provider’s API, billed against your provider account, and the resulting images are imported back into Invoke like any other generation.”