AI-Short-Video-Engine is an open-source framework automating the creation of short videos from textual prompts. It integrates GPT-based script generation, Stable Diffusion for scene synthesis, bark for voice narration, and automated video editing. Designed for content creators, marketers, and developers, the modular pipeline enables rapid production of social media clips, promotional demos, and educational explainers, offering customizable templates, plugin support, and seamless CLI/API integration.
AI-Short-Video-Engine is an open-source framework automating the creation of short videos from textual prompts. It integrates GPT-based script generation, Stable Diffusion for scene synthesis, bark for voice narration, and automated video editing. Designed for content creators, marketers, and developers, the modular pipeline enables rapid production of social media clips, promotional demos, and educational explainers, offering customizable templates, plugin support, and seamless CLI/API integration.
AI-Short-Video-Engine orchestrates multiple AI modules in an end-to-end pipeline to transform user-defined text prompts into polished short videos. First, the system leverages large language models to generate a storyboard and script. Next, Stable Diffusion creates scene artwork, while bark provides realistic voice narration. The engine assembles images, text overlays, and audio into a cohesive video, adding transitions and background music automatically. Its plugin-based architecture allows customization of each stage: from swapping in alternative text-to-image or TTS models to adjusting video resolution and style templates. Deployed via Docker or native Python, it offers both CLI commands and RESTful API endpoints, enabling developers to integrate AI-driven video production into existing workflows seamlessly.
Who will use AI Short Video Engine?
Content creators
Social media marketers
Video editors
Educational publishers
Developers
How to use the AI Short Video Engine?
Step1: Clone the AI-Short-Video-Engine repository from GitHub.
Step2: Install dependencies via pip or Docker.
Step3: Configure API keys and model paths in the config file.
Step4: Provide a text prompt to generate a storyboard and script.
Step5: Execute the video generation command or API call.
Step6: Review and customize the generated short video.
Platform
mac
windows
linux
AI Short Video Engine's Core Features & Benefits
The Core Features
Text prompt to storyboard and script generation
AI-driven image synthesis for scenes
Realistic voice narration via bark
Automated video assembly with transitions
Customizable plugin-based architecture
CLI and REST API interfaces
The Benefits
Accelerates short video production
Reduces manual editing effort
Supports open-source customization
Integrates seamlessly into workflows
Cost-effective alternative to manual creation
AI Short Video Engine's Main Use Cases & Applications