Overview

An implementation of Stable Diffusion, the open source text-to-image and image-to-image generator, providing a streamlined process with various new features and options to aid the image generation process. **Nvidia GPU Use:** Using the Unraid Nvidia Plugin to install a version of Unraid with the Nvidia Drivers installed and add **--runtime=nvidia --gpus=all** to "extra parameters" (switch on advanced view)
**AMD GPU Use:** For AMD GPU support, add "/dev/kfd" and "/dev/dri" each as a Device and add the required Variables: https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/docker.html#accessing-gpus-in-containers

Requirements

        The images for this container are several gigabytes (upwards of ~9 GB).
        If you receive a "no space left on device" warning during installation, please increase the vDisk size in your Docker settings.

Runtime arguments

Web UI: http://[IP]:[PORT:9090]/
Network: bridge
Privileged: false
Extra Params: --gpus=all

Template configuration

WebUIPorttcp

Container Port: 9090

Target: 9090
Default: 9090
Value: 9090

HuggingFace Hub TokenVariable

HuggingFace Hub token for downloading models from private repositories

Target: HUGGING_FACE_HUB_TOKEN

Appdata and Model Storage PathPathrw

Path for app data and models storage

Target: /invokeai_root
Default: /mnt/user/appdata/invoke_ai
Value: /mnt/user/appdata/invoke_ai

Data rootVariable

Location of InvokeAI root directory inside the container

Target: INVOKEAI_ROOT
Default: /invokeai_root
Value: /invokeai_root

Links

Template Support Registry Project

Details

Repository

ghcr.io/invoke-ai/invokeai:latest

Registry

https://github.com/invoke-ai/InvokeAI/pkgs/container/invokeai

Last Updated2026-06-02

First Seen2024-08-14

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