ltx-video-mac — AI 视频生成工具中文文档 是 AI Skill Hub 本期精选AI工具之一。综合评分 8.0 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
ltx-video-mac — AI 视频生成工具中文文档 是一款基于 Swift 开发的开源工具,专注于 image-to-video、ltx-2、ltx-video 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。
ltx-video-mac — AI 视频生成工具中文文档 是一款基于 Swift 开发的开源工具,专注于 image-to-video、ltx-2、ltx-video 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。
# 克隆仓库 git clone https://github.com/james-see/ltx-video-mac cd ltx-video-mac # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 ltx-video-mac --help # 基本运行 ltx-video-mac [options] <input> # 详细使用说明请查阅文档 # https://github.com/james-see/ltx-video-mac
# ltx-video-mac 配置说明 # 查看配置选项 ltx-video-mac --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 LTX_VIDEO_MAC_CONFIG="/path/to/config.yml"
A beautiful, native macOS application for generating AI videos with synchronized audio from text prompts using the LTX-2 model, running natively on Apple Silicon with MLX.

If packages are missing, the app will show an "Install Missing Packages" button. Click it to automatically install:
mlx mlx-vlm mlx-video-with-audio transformers safetensors huggingface_hub numpy opencv-python tqdm
Or install manually:
pip install mlx mlx-vlm mlx-video-with-audio transformers safetensors huggingface_hub numpy opencv-python tqdm
The mlx-video-with-audio package is available on PyPI and provides the unified audio-video generation.
```bash
./scripts/build-local.sh ```
Here's an example video generated with LTX Video Generator:
Prompt used: > Create a 15-second cinematic product commercial for a sleek, premium TIME MACHINE device called "ChronoShift One." > > Overall style: glossy tech product ad, filmed in 4K, smooth dolly and slider shots, soft studio lighting, subtle retro‑futuristic aesthetic (think brushed aluminum, glowing rings, clean UI). The time machine looks like a compact desktop appliance about the size of a toaster: brushed metal body, circular time dial with glowing blue light, small display, and a single illuminated control knob.
And a second run produced this one:
Prompt used: > Scene tone: quiet, reflective, fragmented memory. Cinematic realism, muted natural colors. Overcast but DRY weather. No rain, no raindrops, no wet falling precipitation. > > START FRAME (0-2.5s) > Extreme close-up (85mm) of the elderly man's face. He breathes slowly. A tiny tremor in the lower eyelid. Strands of white hair drift gently in a light breeze. > Dialogue (man, barely above a whisper): > "I remember." > > Motion: micro push-in only. > > JUMP CUT 1 (2.5-5s) > Hard cut to an extreme close-up of his hands: weathered fingers rubbing a small object (a coin / pebble / ring) in his palm. > Dialogue (man): > "Not the day..." > > Motion: hands move slowly, deliberately. > > JUMP CUT 2 (5-7.5s) > Hard cut to close-up (50-85mm) of his boots stepping into soft mud at the lake edge. The movement is careful, almost hesitant. No splashing, just a quiet press into wet ground. > Dialogue (man): > "The feeling." > > Motion: one slow step, then stillness. > > JUMP CUT 3 (7.5-10s) > Hard cut to close-up of the lake surface: perfectly still water with faint ripples spreading outward (from a dropped pebble or a gentle touch). > Dialogue (man): > "It stayed."
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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。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,ltx-video-mac — AI 视频生成工具中文文档 在AI工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | ltx-video-mac |
| 原始描述 | Native macOS app for AI video generation using LTX-Video model, optimized for Apple Silicon |
| Topics | image-to-videoltx-2ltx-videomac-appmac-nativetext-to-videovideo |
| GitHub | https://github.com/james-see/ltx-video-mac |
| License | MIT |
| 语言 | Swift |
收录时间:2026-05-22 · 更新时间:2026-05-22 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。