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veo4-video-generator

★ 17 Open GitHub ↗

Open-source Veo video generator — production-ready Next.js SaaS for text-to-video, image-to-video, and multi-image editing powered by Google Veo. Stripe billing, credits, NextAuth, and Prisma out of the box.

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# 🚀 Veo 3.1 Studio Generator — High-Fidelity AI Video Workspace

![Veo 3.1 Studio](https://cdn.muapi.ai/data/2/901343404247/94ac6d86-be4e-4b70-b1e6-96d7e3692604.png)

> **A beautifully designed, fully-integrated AI video playground.** Built with Next.js, this open-source template serves as a complete, self-contained SaaS boilerplate for generating, editing, and managing high-quality AI videos fueled by the Veo 3.1 engine.

> 🎨 **[Explore 50+ more open-source AI apps →](https://github.com/Anil-matcha/awesome-generative-ai-apps)**

https://github.com/user-attachments/assets/d2257785-e50d-434c-969e-df0892da2385

## Related Projects

- [MuAPI](https://muapi.ai) — Unified API for image, video, and audio generation across hundreds of AI models. Explore the [Veo 4 landing page](https://muapi.ai/veo-4) or try [Veo 4 text-to-video](https://muapi.ai/playground/veo-4-text-to-video).
- [Veo-4-API](https://github.com/Anil-matcha/Veo-4-API) — Python wrapper for the Veo 4 API — use the model directly in scripts
- [veo3.1-comfyui](https://github.com/Anil-matcha/veo3.1-comfyui) — Run Veo 3.1 inside ComfyUI
- [awesome-ai-video-models](https://github.com/Anil-matcha/awesome-ai-video-models) — compare AI video models by API, price & speed
- [flux-3-video-api](https://github.com/SamurAIGPT/flux-3-video-api) — Python wrapper for Black Forest Labs' FLUX 3 Text-to-Video and Image-to-Video

## 🌐 Live Manifestation

[**Experience the Veo 3.1 engine live here**](https://veo4-video-generator.vercel.app/)

Sign in with Google to explore the Generation Studio, Edit Mode, and Credit Tiers directly from your browser. Our glassmorphic, high-fidelity interface is fully responsive and production-ready.

---

Veo 3.1 Studio Generator is not just another wrapper — it's a production-ready, highly-optimized AI web application. Out of the box, it seamlessly manages User Authentication, Credits & Billing, Media Persistence, and asynchronous AI video generation polling using a sleek Next.js (App Router) architecture. It empowers you to build professional-grade AI workflows with built-in mobile optimization, making it the perfect starting point for your next AI SaaS.

**Why use Veo 3.1 Studio Generator?**

- **Production-Ready SaaS** — Complete with Google OAuth and Stripe Checkout workflows built-in.
- **Advanced Video Studio** — Seamlessly toggle between prompt-based Text-to-Video generation, Image-to-Video generation, and Multi-Image Reference editing.
- **Dynamic AI Models** — Switch seamlessly between Lite, Fast, and Quality models for optimal control over rendering speed and cost.
- **Historical Archive** — All creations are securely persisted to a PostgreSQL database for a customized user gallery.
- **Minimalist UX** — Custom dropdowns, high-fidelity micro-animations, and complete mobile-stacked responsiveness.

## ✨ Core Features

- **Kinetic Video Studio** — Generate stunning visuals with text prompts. Includes options for advanced `Aspect Ratio` tuning (16:9, 9:16), and tiered Resolutions (720p, 1080p, 4K) tied directly to a flexible credit cost system.
- **Image-to-Video Engine** — Bring your static images to life by supplying start/end reference frames with accompanying prompts.
- **Multi-Image Reference Mode** — Transition smoothly to editing by uploading up to 3 reference images for dynamic storytelling.
- **My Creations Archive** — A dedicated history vault for logged-in users. Displays past generations securely fetched from the database, viewable in a detailed inspector modal with 1-click downloads.
- **Credit Tiers & Billing** — Complete Stripe integration. Start users off with a seed balance, map generations to credit deductions, and seamlessly route them to an interactive pricing page.

---

## ⚡ Deployment: Vercel & Production

Deploying an instance of Veo 3.1 Studio Generator to the web requires minimal configuration. The architecture is engineered explicitly for **Vercel** serverless environments.

### 🔑 Required Environment Variables

To successfully deploy and run, you must populate the following environment variables in your Vercel project settings:

---

## 🛠️ Local Development

Ready to iterate locally? Setup is straightforward.

### Prerequisites

- [Node.js](https://nodejs.org/en/) (v18 or higher)
- A local PostgreSQL instance or a free cloud Database URL.

### Setup

```bash
# 1. Clone the repository
git clone https://github.com/SamurAIGPT/veo4-video-generator
cd veo4-video-generator

# 2. Install dependencies
npm install

# 3. Setup Environment
cp .env.example .env
# Open .env and insert your specific keys.

# 4. Initialize Database Schema
npx prisma generate
npx prisma db push

# 5. Start the Development Server
npm run dev
```

The graphical console should now be heavily responsive on `http://localhost:3000`.

---

_Veo 3.1 Studio Generator: A modular, mobile-ready, production-grade AI video workspace built for creators and builders._

veo4-video-generator

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