---
title: "Deploy autofigure-edit"
description: "AutoFigure-edit turns paper methods into editable SVG figures"
category: "AI/ML"
url: https://railway.com/deploy/autofigure-edit
---

# Deploy autofigure-edit

AutoFigure-edit turns paper methods into editable SVG figures

**[Deploy autofigure-edit on Railway](https://railway.com/template/autofigure-edit)**

- **Creator:** kmaki's Projects
- **Category:** AI/ML

## Template content

### autofigure-edit

- **Image:** xiaosong233/autofigure-edit-railway:latest
- **Public domain:** Yes

## Documentation

# Deploy and Host AutoFigure-Edit on Railway

## About Hosting AutoFigure-Edit on Railway
AutoFigure-Edit runs as a single Dockerized FastAPI web application on Railway. Railway gives managed deployment, HTTPS domain, and variable management with no server operations.

## Tech Stack
- Python 3.11
- FastAPI + Uvicorn
- Pillow and scientific Python libs
- Docker Hub image on Railway

## Why Deploy AutoFigure-Edit on Railway
- Single-service deployment with built-in HTTPS
- Fast rollout from a Docker image
- Easy variable-based configuration and redeploy
- Good fit for research demos and internal sharing

## Common Use Cases
- Internal scientific figure generation web service
- Team-shared AutoFigure-Edit playground
- Reproducible cloud demo for paper methods

## Deployment Notes
- HTTP container port is `8000`
- Railway routing is controlled by `PORT=8000`
- Public domain is enabled for browser/API access
- `HF_TOKEN` / `HUGGINGFACE_HUB_TOKEN` should be set for RMBG-2.0 gated model access
- `ROBOFLOW_API_KEY` and `FAL_KEY` are optional unless those SAM backends are used

## Dependencies for AutoFigure-Edit on Railway
This deployment only requires one application service and no external database.

### Deployment Dependencies

| Service | Image | Port | Volume |
|---------|-------|------|--------|
| autofigure-edit | xiaosong233/autofigure-edit-railway:latest | 8000 | - |

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Open this page in a browser: https://railway.com/deploy/autofigure-edit