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Image & Video AI

Openjourney

Openjourney is an open-source web interface for generating images and videos with Google’s Gemini SDK, using Imagen 4 for image generation, Veo 3 for text-to-video, and Veo 2 for image-to-video.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Openjourney — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Openjourney when you want to move between text-to-image, text-to-video and image-to-video workflows in one interface, or when you want a codebase to extend with other models.

Who it is for

  • People who want a single interface for prompt-based image and video generation.
  • Developers looking to adapt a Next.js interface to connect additional image or video models.

Documented uses

  • Generate a four-image set from a text prompt.
  • Create a video from a text prompt with Veo 3.
  • Animate an image using Veo 2 and a text prompt.
  • Expand or download generated images and videos.
Before you choose

Requirements & limits

The repository describes Openjourney as open source under the MIT License. Running it locally requires a Google AI API key.

  • Image generation uses Imagen 4; text-to-video uses Veo 3; image-to-video uses Veo 2.
  • The README describes Veo 3 output as approximately three to five seconds at 720p, with audio.
  • The documented stack is Next.js 15, TypeScript, Tailwind CSS 4, Framer Motion, ShadCN UI, Radix UI and the Google GenAI SDK.
  • Local setup requires Node.js 18 or newer and npm or yarn.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Openjourney locally

Prepare the Next.js application and configure its Google AI API key.

Before you start

  • Node.js 18 or newer; Node.js 20 or newer is recommended.
  • npm or yarn.
  • A Google AI API key.

Steps

  1. Clone the project repository and change into the openjourney-app directory.

  2. Install the dependencies with npm install.

  3. Create a .env.local file and set GOOGLE_AI_API_KEY to your key.

  4. Start the development server with npm run dev and open http://localhost:3000.

Expected outcome

The project is configured to run its development server locally.

Guide limitations

  • A Google AI API key is required for AI generation; the README says it can also be entered in the app.
  • These steps cover local setup, not deployment.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
ammaarreshi/openjourney · Official homepage title · retained in its source language
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