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A node.js project that generates short videos using popular AI LLM.

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A node.js project that generates short videos using popular AI LLM.

FFAIVideo

A lightweight node.js project that utilizes the currently popular AI LLM in the industry to intelligently generate short videos. Without the need for complex configurations, simply input a short piece of text, and it can automatically synthesize an exciting video content.

Features

  • Fully developed on Node.js, enabling quick mastery by front-end developers.
  • Minimal dependencies, easy installation, cross-platform, and low machine requirements.
  • Simple usage, just input text to intelligently create compelling videos.
  • Supports Chinese and English scripts, with multiple voice options.
  • Includes subtitle generation, adjustable for font, position, color, and size.
  • Supports background music with adjustable volume.

Installation

npm install ffaivideo

Note: To run the preceding commands, Node.js and npm must be installed.

Example usage

const { generateVideo } = require('ffaivideo');

generateVideo(
  {
    provider: 'gpt4js',
    // Use the free gpt4js, g4f, or OpenAI, or Moonshot account
    // Or use openai gpt
    // provider: 'openai',
    // openai: {
    //   apiKey: '*',
    //   modelName: 'gpt-4-turbo-preview',
    //   baseUrl: 'https://api.openai.com/v1',
    // },
    termsNum: 8,
    subtitleMaxWidth: 9,
    videoClipDuration: 12,
    voiceName: 'zh-CN-YunjianNeural',
    bgMusic: path.join(__dirname, './assets/songs/m1.mp3'),
    output: path.join(__dirname, './output'),
    pexels: {
      apiKey: 'xxx',
    },
    videoScript: `
    ...Enter your text here
  `,
  },
  progress => {
    console.log(progress);
  },
).then(videoPath => {
  console.log(videoPath);
});

Installation preparation

About the config of LLM

The current project already supports multiple AI LLM models such as OpenAI, Moonshot, Azure, g4f, Google Gemini, etc. to meet your different needs. If you want to introduce other AI LLM models, please fork this project and submit a Pull Request (PR) for us to evaluate and merge.

Before using this project, please make sure that you have applied for an API Key from the corresponding service provider. For example, if you plan to use GPT-4.0 or GPT-3.5, you need to make sure that you already have an API Key from OpenAI. In addition, you can also choose to use g4f, which is an open source library that provides free GPT usage services. Please note that although g4f is free, its service stability may fluctuate, and the usage experience may be good and bad from time to time. You can find its repository link on GitHub: https://github.com/xtekky/gpt4free.

In addition, as another option, you can apply for API services by visiting the Moonshot ai platform. After registration, you will immediately receive 15 of experience money, which is enough to support about 1,500 conversations. After successfully applying, you need to set the provider to moonshot and configure the corresponding apiKey to complete the project setup.

You need to configure apiKey, modelName and baseUrl. For azure ai, you also need to configure apiVersion.

openai: {
  apiKey: 'xxxx',
  modelName: 'gpt-4-turbo-preview',
  baseUrl: 'https://api.openai.com/v1',
},

About video material site

The video resources of this project use the Pexels website. Please visit https://www.pexels.com/api/new/ and follow the instructions to apply for a new API key so that you can use the rich materials provided by Pexels in your project.

About voice tts

FFAIVideo by default integrates Microsoft Edge's online text-to-speech service. This service is not only powerful but also allows users to customize and set up their own application tokens, offering more flexible configuration and usage options. However, users in China may encounter access restrictions. For more details, please refer to this GitHub issue: rany2/edge-tts#290. To address this issue, we provide an alternative: you can use the Azure TTS service. This requires purchasing an Azure AI Speech service account. For more information, please visit: https://azure.microsoft.com/en-us/products/ai-services/ai-speech. When using the Azure TTS service, a configuration example is as follows:

azureTTSSettings: {
  subscriptionKey: '*',
  serviceRegion: '*',
},

About installing ffmpeg

Since FFAIVideo relies on FFmpeg for its functionality, it is essential that you install a standard, well-maintained version of FFmpeg. This will ensure that FFAIVideo operates smoothly and without any compatibility issues.

API Configuration

Parameter name Type Default value Description
provider string gpt4js LLM Provider
moonshot LLMConfig - Moonshot configuration
openai LLMConfig - OpenAI configuration
azure LLMConfig - Azure configuration
gemini LLMConfig - Gemini configuration
g4f LLMConfig - G4F configuration
gpt4js LLMConfig - GPT4js simplifies AI model interaction
customoAI LLMConfig - custom ai configuration
pexels MaterialSite - Pexels material site
videoScript string - Script for generating videos
videoTerms string | string[] - Keywords for generating videos
videoAspect VideoAspect undefined Video aspect ratio, can be undefined by default
videoClipDuration number 5 Video clip duration, default is 5 seconds
lineSplit boolean true Use line breaks to split long subtitles
termsNum number 5 Number of keywords
output string - Output path
cacheDir string - Cache directory
voiceName string - Voice name
voiceVolume number 1.0 Voice volume, default is 1.0
bgMusic string - Background music
bgMusicVolume number 0.5 Background music volume, default is 0.2
fontsDir string - Font directory
fontSize number 24 Font size
fontName string - Font name
textColor string "#FFFFFF" Text color, default is "#FFFFFF"
strokeColor string "#000000" Stroke color, default is "#000000"
strokeWidth number - Stroke width
textBottom number 20 Text bottom position
subtitleMaxWidth number - Maximum subtitle width
debug boolean false Debug mode
lastTime number 5 Last time
azureTTSSettings object null Azure TTS settings
getMaterial function null A custom material synthesis
removeCache boolean true Whether to remove cache

Reference Project

This project is inspired by and builds upon the open-source contributions from several notable repositories, including MoneyPrinterTurbo, MoneyPrinter, and MsEdgeTTS. We express our sincere gratitude to the original authors for their dedication to the open-source community and their innovative spirit.

License

MIT LICENSE