🛠
AI工具

Open-Generative-AI — AI 视频生成工具中文文档

基于 JavaScript · 开源免费,本地部署,数据完全自主可控
英文名:Open-Generative-AI
⭐ 16.6k Stars 🍴 2.8k Forks 💻 JavaScript 📄 未公布协议 🏷 AI 9.4分
9.4AI 综合评分
ai-art-generatorai-image-generationai-video-generationcreative-toolsflux-1generative-aivideo
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,Open-Generative-AI — AI 视频生成工具中文文档 获评「强烈推荐」。在 GitHub 上收获超过 16.6k 颗 Star,这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 9.4 分,适合有一定技术背景的用户使用。

📚 深度解析
Open-Generative-AI — AI 视频生成工具中文文档 是一款基于 JavaScript 的开源工具,在 GitHub 上收获 17k+ Star,是ai-art-generator、ai-image-generation、ai-video-generation、creative-tools领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
Open-Generative-AI — AI 视频生成工具中文文档 依赖 JavaScript 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 JavaScript 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 Open-Generative-AI — AI 视频生成工具中文文档 的版本更新,及时通知重要功能变化。
📋 工具概览

Open-Generative-AI — AI 视频生成工具中文文档 是一款基于 JavaScript 开发的开源工具,专注于 ai-art-generator、ai-image-generation、ai-video-generation 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 16.6k
开发语言
JavaScript
支持平台
Windows / macOS / Linux
维护状态
活跃维护,更新频繁
开源协议
未公布
AI 综合评分
9.4 分
工具类型
AI工具
Forks
2.8k
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

Open-Generative-AI — AI 视频生成工具中文文档 是一款基于 JavaScript 开发的开源工具,专注于 ai-art-generator、ai-image-generation、ai-video-generation 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:npm 全局安装
npm install -g open-generative-ai

# 方式二:npx 直接运行(无需安装)
npx open-generative-ai --help

# 方式三:项目依赖安装
npm install open-generative-ai

# 方式四:从源码运行
git clone https://github.com/Anil-matcha/Open-Generative-AI
cd Open-Generative-AI
npm install
npm start
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 命令行使用
open-generative-ai --help

# 基本用法
open-generative-ai [options] <input>

# Node.js 代码中使用
const open_generative_ai = require('open-generative-ai');

const result = await open_generative_ai.run(options);
console.log(result);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# open-generative-ai 配置说明
# 查看配置选项
open-generative-ai --config-example > config.yml

# 常见配置项
# output_dir: ./output
# log_level: info
# workers: 4

# 环境变量(覆盖配置文件)
export OPEN_GENERATIVE_AI_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 67/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

✨ Features

  • Image Studio — Generate images from text prompts (50+ text-to-image models) or transform existing images (55+ image-to-image models). Switches model set automatically based on whether a reference image is provided. Quality and resolution controls visible for models that support them.
  • Local Inference — Two engines: sd.cpp (bundled, runs on Mac/Win/Linux with Metal/CUDA/Vulkan/ROCm) for SD 1.5, SDXL, and Z-Image; and Wan2GP (BYO Gradio server) for Flux, Qwen-Image, and video models (Wan 2.2, Hunyuan, LTX). Configure both in Settings → Local Models.
  • Multi-Image Input — Upload up to 14 reference images for compatible edit models (Nano Banana 2 Edit, Flux Kontext Dev, GPT-4o Edit, and more). Multi-select picker with order badges, batch upload, and a "Use Selected" confirmation flow.
  • Video Studio — Generate videos from text prompts (40+ text-to-video models) or animate a start-frame image (60+ image-to-video models). Same intelligent mode switching as Image Studio.
  • Lip Sync Studio — Animate portrait images or sync lips on existing videos using audio. 9 dedicated models across two modes: portrait image + audio → talking video, and video + audio → lipsync video.
  • Cinema Studio — Interface for photorealistic cinematic shots with pro camera controls (Lens, Focal Length, Aperture)
  • Workflow Studio — Build and run multi-step AI pipelines visually. Chain image, video, and audio models into automated flows. Browse community templates, create your own with a node-based editor, and run them via an interactive playground.
  • Upload History — Reference images are uploaded once and stored locally. A picker panel lets you reuse any previously uploaded image across sessions — no re-uploading.
  • Smart Controls — Dynamic aspect ratio, resolution/quality, and duration pickers that adapt to each model's capabilities (including t2i models with resolution or quality options)
  • Generation History — Browse, revisit, and download all past generations (persisted in browser storage)
  • Image & Video Download — One-click download of generated outputs in full resolution
  • API Key Management — Secure API key storage in browser localStorage (never sent to any server except Muapi)
  • Responsive Design — Works seamlessly on desktop and mobile with dark glassmorphism UI

Prerequisites

Clone the repository (with submodules — required for the workflow + agent packages)

git clone --recurse-submodules https://github.com/Anil-matcha/Open-Generative-AI.git cd Open-Generative-AI

Install dependencies + build workspace packages (studio, workflow, agents).

This step is REQUIRED — `npm install` alone is not enough; the workspaces

🌐 Try it Online — No Install Required

Hosted version: https://muapi.ai/open-generative-ai

Use all four studios (Image, Video, Lip Sync, Cinema) directly in your browser — no Node.js, no setup. Sign up for a free account to start generating. The hosted version is always up to date with the latest models.

Follow the creator for updates

---

macOS Installation Guide

Because the app is not notarized by Apple, macOS Gatekeeper will block it on first launch. Follow these steps:

Step 1 — Mount the DMG and drag the app to /Applications

Step 2 — Open Terminal and run:

xattr -cr "/Applications/Open Generative AI.app"

Step 3 — Right-click the app in /Applications → click Open → click Open again on the dialog

You only need to do this once. After that, the app opens normally.

Alternative (no Terminal): 1. Try to open the app — macOS will block it 2. Go to System Settings → Privacy & Security 3. Scroll down to find "Open Generative AI was blocked" 4. Click Open AnywayOpen

Windows Installation — SmartScreen warning fix

Windows SmartScreen may show a warning because the installer is not code-signed:

  1. Click More info on the SmartScreen dialog
  2. Click Run anyway

The app will install silently to %LocalAppData% with a Start Menu shortcut.

Ubuntu / Linux Installation

Linux artifacts are available when building with Electron Builder:

```bash

Build Linux installers (AppImage + .deb)

npm run electron:build:linux


Generated files are written to the `release/` folder:
- **AppImage** — portable, run directly after making executable:
  
bash chmod +x "release/Open Generative AI-.AppImage" ./release/Open\ Generative\ AI-.AppImage
- **.deb** — install on Debian/Ubuntu:
  
bash sudo apt install ./release/open-generative-ai_*_amd64.deb

If AppImage fails to start on older systems, install `libfuse2`:
bash sudo apt install libfuse2

#### Ubuntu 24.04+ / AppArmor sandbox restriction

Ubuntu 24.04 and later enable a kernel security policy (`apparmor_restrict_unprivileged_userns`) that blocks Chromium's user-namespace sandbox. If the app fails to start silently or crashes immediately, you have two options:

**Option A — Recommended: install the `.deb` instead.**
The `.deb` package ships an AppArmor profile that grants the required permission automatically on install with no system-wide changes.

**Option B — Temporary system fix (AppImage users):**
bash sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0
This lasts until next reboot. To make it permanent:
bash echo 'kernel.apparmor_restrict_unprivileged_userns=0' | sudo tee /etc/sysctl.d/99-userns.conf ```

---

Open Generative AI is a free, open-source AI image, video, cinema, and lip sync studio that brings creative workflows to everyone. No content filters, no prompt rejections, no guardrails — just full creative freedom. Powered by Muapi.ai, it supports text-to-image, image-to-image, text-to-video, image-to-video, and audio-driven lip sync generation across models like Flux, Nano Banana, Midjourney, Kling, Sora, Veo, Seedream, Infinite Talk, LTX Lipsync, Wan 2.2, and more — all from a sleek, modern interface you can self-host and customize.

Why Open Generative AI instead of other AI Video Platforms? - No filters — no content filters, no nanny guardrails, no prompt rejections - Free & open-source — no subscription, no vendor lock-in - Self-hosted — your data stays on your machine, full creative control - 200+ models — text-to-image, image-to-image, text-to-video, image-to-video, lip sync - Multi-image input — feed up to 14 reference images into compatible models - Lip Sync Studio — animate portraits or sync lips to any audio with 9 dedicated models - Extensible — add your own models, modify the UI, build on top of it

For a deep dive into the technical architecture and the philosophy behind the "Infinite Budget" cinema workflow, see our comprehensive guide and roadmap.

Setup

Most users want the desktop app, not this dev path. If you just want to run Open Generative AI on your machine, download a prebuilt installer instead — no Node.js required. The instructions below are for contributors building from source.

Pick the entry point that matches your goal:

  • Desktop app (Electron)npm run electron:dev
  • Hosted web version (Next.js)npm run dev

```bash

Production Build

npm run build
npm run start

Desktop App Build

Build native desktop apps with Electron:

```bash

Windows (NSIS installer — x64 + ARM64)

npm run electron:build:win

🚀 Quick Start

🔌 API Integration

The app communicates with Muapi.ai using a two-step pattern:

  1. SubmitPOST /api/v1/{model-endpoint} with prompt and parameters
  2. PollGET /api/v1/predictions/{request_id}/result until status is completed

Authentication uses the x-api-key header. During development, a Vite proxy handles CORS by routing /api requests to https://api.muapi.ai.

File uploads use POST /api/v1/upload_file (multipart/form-data) and return a hosted URL that is passed to image-conditioned models. For multi-image models the full images_list array is forwarded to the API in one request.

Lip sync jobs use the same two-step pattern: a dedicated processLipSync() method accepts image_url or video_url alongside audio_url, dispatches to the model's endpoint, and polls until the output video URL is available.

🔀 Workflow Studio

The Workflow Studio lets you build and run multi-step AI pipelines without writing code.

Key capabilities: - Templates — Start from pre-built workflows (image chains, video pipelines, and more) - My Workflows — Save and manage your own custom pipelines - Community — Browse and run workflows published by other users - Node-based Builder — Drag-and-drop visual editor to connect models and route outputs between steps - Playground — Run any workflow interactively with a form UI; results render inline - API execution — Every workflow is also callable via the Muapi API

💡 Want to add workflows to your own app? Check out Vibe Workflow — the open-source workflow engine powering this feature. Drop it into any project.

If you already cloned without --recurse-submodules, run this once:

git submodule update --init --recursive

Open Generative AI — Open-Source Alternative to AI Video Platforms

The free, open-source alternative to AI Video Platforms. Generate AI images and videos using 200+ state-of-the-art models — no content filters, no closed ecosystem, no subscription fees.

Community: Join Reddit & Discord for discussions and support

Latest Gemini Omni model from Google best prompts and resources: Gemini Omni Resources
🤖 Automate media generations with AI coding agents: Generative-Media-Skills — a library of skills that let agents like Claude Code, Codex, and other coding assistants drive 200+ image/video models end-to-end (prompt → generate → edit → stitch) directly from your terminal. Perfect for building automated media pipelines without touching a UI.
📚 实用指南(长尾问题)
适合谁
  • 构建多智能体协作系统的 Agent 开发者
  • 跨境业务、多语言内容运营团队
最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
Open-Generative-AI 中文教程Open-Generative-AI 安装报错怎么办Open-Generative-AI Agent 工作流Open-Generative-AI 与同类工具对比Open-Generative-AI 最佳实践Open-Generative-AI 适合谁用
⚡ 核心功能
👥 适合人群
AI 技术爱好者研究人员和学生开发者和工程师技术创业者
🎯 使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
⚖️ 优点与不足
✅ 优点
  • +GitHub 16.6k Star,社区高度认可
  • +AI Skill Hub 精选推荐
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • 未明确开源协议,商用场景需谨慎评估
  • 安装和初始配置可能需要一定技术基础
  • 功能完整性通常不如成熟商业产品
  • 技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

🔗 相关工具推荐
❓ 常见问题 FAQ
Open-Generative-AI 是一款JavaScript开发的AI辅助工具。Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
💡 AI Skill Hub 点评

AI Skill Hub 点评:Open-Generative-AI — AI 视频生成工具中文文档 的核心功能完整,质量优秀。对于AI 技术爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。

📚 深入学习 Open-Generative-AI — AI 视频生成工具中文文档
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 Open-Generative-AI
原始描述 Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
Topics ai-art-generatorai-image-generationai-video-generationcreative-toolsflux-1generative-aivideo
GitHub https://github.com/Anil-matcha/Open-Generative-AI
语言 JavaScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/Anil-matcha/Open-Generative-AI 🌐 官方网站  https://muapi.ai/open-generative-ai

收录时间:2026-05-22 · 更新时间:2026-05-22 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。