---
title: "Deploy InvokeAI"
description: "A powerful creative engine and WebUI for Stable Diffusion image generation"
category: "AI/ML"
url: https://railway.com/deploy/invokeai
---

# Deploy InvokeAI

A powerful creative engine and WebUI for Stable Diffusion image generation

**[Deploy InvokeAI on Railway](https://railway.com/template/invokeai)**

- **Creator:** decoge
- **Category:** AI/ML
- **Total deploys:** 20

## Template content

### invokeai https://cdn-avatars.huggingface.co/v1/production/uploads/63e004bdf0c75dfb87690d5c/AtX_SwdU0j5UkJdDEkNsS.png

- **Image:** ghcr.io/invoke-ai/invokeai:latest
- **Public domain:** Yes

## Documentation

# Deploy and Host InvokeAI on Railway

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals and artists to generate and manipulate visual media. It features a streamlined WebUI, a powerful unified canvas for infinite out-painting, and a node-based backend for custom workflows, offering complete ownership and control over the creative process.
![](https://repository-images.githubusercontent.com/525592995/360aff04-be2b-47a6-9417-7e98f2fb55b1)
![](https://miro.medium.com/v2/resize:fit:2000/format:webp/1*HnMmMRsV50CeLK5LGR2cWA.png)

## About Hosting InvokeAI

Hosting InvokeAI involves deploying a Python-based application that serves a React frontend and a FastAPI backend. Key considerations include managing significant storage requirements for model weights (often several gigabytes) and configuring the environment with necessary libraries like PyTorch and Diffusers. When self-hosting on a cloud platform, you must ensure adequate system resources—specifically RAM and ideally GPU acceleration—to handle image generation tasks efficiently. 

## Common Use Cases

* **Professional Image Generation:** Creating high-quality assets for game design, concept art, and marketing materials using fine-tuned Stable Diffusion models.
* **Unified Canvas Editing:** Seamlessly extending images (out-painting) or modifying specific areas (in-painting) within a single, infinite workspace.
* **Custom Workflow Automation:** Building and deploying reproducible generation pipelines using the node-based graph architecture for specific creative tasks.

## Dependencies for InvokeAI Hosting

* **Persistent Storage:** A volume to retain large model weights, LoRAs, and generated output databases across deployments.

### Deployment Dependencies

* [InvokeAI GitHub Repository](https://github.com/invoke-ai/InvokeAI)

## Why Deploy InvokeAI on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying InvokeAI on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.

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Open this page in a browser: https://railway.com/deploy/invokeai