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FFAIVideo
A node.js project that generates short videos using popular AI LLM.
Stars: 55
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FFAIVideo is a lightweight node.js project that utilizes popular AI LLM to intelligently generate short videos. It supports multiple AI LLM models such as OpenAI, Moonshot, Azure, g4f, Google Gemini, etc. Users can input text to automatically synthesize exciting video content with subtitles, background music, and customizable settings. The project integrates Microsoft Edge's online text-to-speech service for voice options and uses Pexels website for video resources. Installation of FFmpeg is essential for smooth operation. Inspired by MoneyPrinterTurbo, MoneyPrinter, and MsEdgeTTS, FFAIVideo is designed for front-end developers with minimal dependencies and simple usage.
README:
A node.js project that generates short videos using popular AI LLM.
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.
- 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.
npm install ffaivideo
Note: To run the preceding commands, Node.js and npm must be installed.
const { generateVideo } = require('ffaivideo');
generateVideo(
{
provider: 'g4f',
// Use the free g4f, or OpenAI, or Moonshot account
// provider: 'openai',
// openai: {
// apiKey: 'xxx',
// modelName: 'xxx',
// baseUrl: 'xxx',
// },
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);
});
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',
},
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.
FFAIVideo integrates Microsoft Edge's online text-to-speech service, powered by Microsoft Azure. Furthermore, it enables users to customize and set up their own app tokens for more flexible configuration and utilization of this service. As for the various voice options available for setup, you can find a detailed list in the following file within the GitHub repository: https://github.com/drawcall/FFAIVideo/blob/main/src/config/voice-config.ts. This way, you can select the most suitable voice according to your specific needs.
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.
- How to Install and Use FFmpeg on CentOS https://linuxize.com/post/how-to-install-ffmpeg-on-centos-7/
- How to Install FFmpeg on Debian https://linuxize.com/post/how-to-install-ffmpeg-on-debian-9/
- How to compiling from Source on Linux https://www.tecmint.com/install-ffmpeg-in-linux/
Parameter name | Type | Default value | Description |
---|---|---|---|
provider | string | g4f | LLM Provider |
moonshot | LLMConfig | - | Moonshot configuration |
openai | LLMConfig | - | OpenAI configuration |
azure | LLMConfig | - | Azure configuration |
gemini | LLMConfig | - | Gemini configuration |
g4f | LLMConfig | - | G4F 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 |
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 |
removeCache | boolean | true | Whether to remove cache |
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.
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FFAIVideo
FFAIVideo is a lightweight node.js project that utilizes popular AI LLM to intelligently generate short videos. It supports multiple AI LLM models such as OpenAI, Moonshot, Azure, g4f, Google Gemini, etc. Users can input text to automatically synthesize exciting video content with subtitles, background music, and customizable settings. The project integrates Microsoft Edge's online text-to-speech service for voice options and uses Pexels website for video resources. Installation of FFmpeg is essential for smooth operation. Inspired by MoneyPrinterTurbo, MoneyPrinter, and MsEdgeTTS, FFAIVideo is designed for front-end developers with minimal dependencies and simple usage.
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uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.
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griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.