BeefTV README

The project's README from github.com/glanderness/BeefTV. As one markdown file: README.md.

BeefTV — High-performance, lightweight, AI-native video workspace

High-performance · Lightweight · AI Native

面向 AI 时代的视频创作工作台。
在一个自由画布中连接创意、模型与素材。

BeefTV GitHub Stars BeefTV 最新版本 桌面版支持 macOS 和 Windows 本地优先工作区 MIT 许可证

访问 BeefTV 官网 下载 BeefTV 桌面版 扫码加入 BeefTV 社群 在 X 关注 @beefnoode

产品演示 · 功能清单 · 开始使用 · 参与贡献

产品演示

https://github.com/user-attachments/assets/94fe6a39-6933-44b3-a9a9-dbc28b2d284c

下载产品演示视频

Why BeefTV

High Performance Lightweight AI Native
面向复杂创作画布优化。视口渲染、节点加载、媒体预览与生成任务彼此解耦,让项目增长时仍能保持顺畅操作。 以低资源占用和低使用门槛为目标。一个桌面工作区即可开始创作,能力按需加载,追求轻量化 AI 不是附加按钮,而是工作台中不可或缺的一部分。让Agent真正参与并且主导你的AIGC创作流程。

一个画布,完整创作链路

BeefTV 同时提供项目库、个人资产库、异步任务、模型渠道与创作工具。完整范围见功能清单。

工作方式

想法 / 参考素材
       ↓
AI Native 自由画布
       ↓
模型 + 创作工具
       ↓
文字 / 图片 / 视频 / 音频 / 分镜
       ↓
可编辑、可复用、可继续生成的工作流

Open by design

开始使用

下载桌面版及 Mac 首次打开说明见 快速开始。

git clone https://github.com/glanderness/BeefTV.git
cd BeefTV
./scripts/build-beeftv-release.sh

详细环境要求、Windows 构建与本地开发方式见 QUICKSTART.md 和桌面发布文档。首次启动后,添加自己的模型渠道即可开始创作。

贡献与许可

欢迎提交 Issue 和 Pull Request。开发流程与测试要求见 CONTRIBUTING.md。

项目按照 LICENSE 发布;上游来源、保留声明与第三方归属见 NOTICE。

⭐ Star History

BeefTV GitHub Star History

BeefTV (glanderness/BeefTV)

ai-image-generation
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1.5K ·GitHub
What is this?BeefTV is an AI-native video creation workspace where you work on an infinite canvas, connecting prompts, AI models, and media assets to generate and iterate on images, video, audio, and text.
Is this a desktop app or a web tool?It is a native desktop application built with React, Go and Wails, not a browser-based tool. The model protocol and workspace capabilities can be further customized or extended.
How do I get it running?Download the desktop build; Mac users should follow the first-launch instructions in the Quick Start guide, and Windows build/local dev steps are covered in QUICKSTART.md and the desktop release docs.
Do I need my own AI provider accounts to generate content?Yes — you freely configure your own text, image, video, and audio model channels after first launch; BeefTV isn't locked to a single provider.
Is the Windows build ready to use right out of the box?The Windows build and local development setup require following a separate detailed guide (QUICKSTART.md and the desktop release docs) rather than being a single one-click install like the macOS build.
What can I actually generate on the canvas?From prompts or reference assets you can generate text, images, video, and audio, then crop, annotate, inpaint, split, reference, and combine the results into an evolving workflow.
Why use a node-and-canvas layout instead of a timeline?The canvas lets you build relationships between assets, creation context, and generation flow using nodes and connections, so a single generation can be reused and iterated rather than being a one-off clip.
Does it lock me into one AI provider?No, model channels for text, image, video, and audio are configured by you, so BeefTV can connect to multiple providers rather than a single one.
What else is included besides the canvas?BeefTV also ships a project library, a personal asset library, async task management, and model-channel management alongside its creation tools.
Size
76.4 MB
Stars
1.5K
Age
25d
Commits · 90 Days