This is the open-source version of the AI Video Generator from 302.AI. You can log in directly to 302.AI, use the online version with zero code and zero background, or modify and deploy it according to your needs.
302.AI is a pay-as-you-go AI application platform that addresses the last-mile problem of AI in practice.
- π§ It integrates the latest and most comprehensive AI capabilities and brands, including but not limited to language models, image models, sound models, and video models.
- π We conduct deep application development on basic models, creating real AI products rather than simple chatbots.
- π° No monthly fees, all features are pay-as-you-go, fully open, truly low barrier with high potential.
- π Powerful management backend for teams and small to medium enterprises; one person manages while multiple people use.
- π All AI capabilities provide API access, and all tools are open source and customizable (ongoing).
- π‘ A strong development team releases 2-3 new applications weekly, with products updated daily. Developers interested in joining are welcome to contact us.
- π₯ AI Video Generator: Supports various models of image-to-video generation, quickly creating custom videos.
- πΌοΈ Local Image Cropping: Supports cropping local images to create videos.
- π Task Management: Video tasks support regeneration and further editing.
- βοΈ Multi-Model Support: Offers different configuration options for different models, including lens control and video effects.
- π History: Saves your creation history, ensuring memories aren't lost and available for download anytime.
- π Dark Mode: Supports dark mode, protecting your eyes.
- π Internationalization: Supports multiple languages, currently including Chinese, English, and Japanese.
- Next.js 14 Base Framework
- Tailwind CSS + Shadcn UI for Styling
- Zod + react-hook-form for Form Handling
- Zustand for Data Management
- Clone the project
git clone [email protected]:302ai/302_video_generator.git - Install dependencies
pnpm install - Configure 302βs API KEY as per .env.example
- Run the project
pnpm dev - Build and deploy
docker build -t video-generator . && docker run -p 3000:3000 video-generator
