Invoke-AI

Invoke-AI

官方

Docker 应用程序 from grtgbln's Repository

概述

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

要求


        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.
    

运行时参数

网络用户界面
http://[IP]:[PORT:9090]/
网络
bridge
特权
false
额外参数
--gpus=all

模板配置

WebUIPorttcp

Container Port: 9090

目标
9090
默认值
9090
价值
9090
HuggingFace Hub TokenVariable

HuggingFace Hub token for downloading models from private repositories

目标
HUGGING_FACE_HUB_TOKEN
Appdata and Model Storage PathPathrw

Path for app data and models storage

目标
/invokeai_root
默认值
/mnt/user/appdata/invoke_ai
价值
/mnt/user/appdata/invoke_ai
Data rootVariable

Location of InvokeAI root directory inside the container

目标
INVOKEAI_ROOT
默认值
/invokeai_root
价值
/invokeai_root

详细信息

存储库
ghcr.io/invoke-ai/invokeai:latest
最后更新2026-06-01
初见2024-08-14

在Unraid 上运行 Invoke-AI 。

Invoke-AI 已被列入Unraid OS 的社区应用程序。探索Unraid ,构建灵活的家庭服务器、NAS 或家庭实验室。