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LTX AI Workspace以文本、图像和音频为基础的全能工作空间,创造AI生成的视频。

4.8 (6)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

LTX AI Workspace 是一个围绕视频生成构建的创意环境,让用户可以从文本提示、参考图像或音频片段开始,在单一界面内生成动感视觉内容。它将典型的多工具工作流程整合到一个地方,使创意、生成与迭代均能在同一应用内完成,无需频繁切换。 LTX AI Workspace 旨在为需要快速原型制作或生产短视频的创作者、营销人员和工作室提供服务。通过支持多种输入方式,它能够处理从概念故事板和音乐驱动剪辑,到图像转动序列和叙事场景等各种用例。

主要功能

  • 从文本转化为视频
  • 从图像导出视频动画
  • 以音频驱动创建视频
  • 统一的项目工作区
  • 迭代提示编辑
  • 支持多模态输入

价格

模型
Free
评分
4.8 / 5 (6)

使用场景

创建短视频内容

使用 LTX AI Workspace 可以快速生成高质量的短视频内容,如社交媒体剪辑或产品演示,使用文本、图像或音频提示

视频概念的迭代

在 LTX AI Workspace 使用快速模式测试和优化视频概念,然后升级到 Pro 版本以获得更高分辨率的输出和更长的内容

高分辨率视频内容

使用 Pro 版本和 4K 分辨率在 LTX AI Workspace 中创建高端视频内容,用于广告、电影或其他专业应用

优点 & 缺点

优点

  • 支持多种输入类型:文本、图像和音频
  • 单一工作空间取代多个工具
  • 适用于快速原型设计和迭代
  • 灵活应对多种创作场景

缺点

  • 生成质量依赖于提示技能
  • 生成过程可能耗时计算
  • 多模态工作流难以掌握

评测

4.8

6 个评分的平均值。

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L

Linda Petersen

May 24, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: support for multi-modal inputs and single workspace replaces several tools. Where it lags: generation can be compute-intensive. On balance the feature set — especially text-to-video generation — justifies the 5 stars for our use case.

W

Wei Chen

May 2, 2026

Solid for our team

We rolled this out across the team last quarter and single workspace replaces several tools. Iterative prompt editing fits neatly into how we already work, and unified project workspace removed a step we used to do by hand. Output quality depends heavily on prompt skill, which is the main caveat, but it has held up under daily use.

D

Diego Fernández

Jan 16, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is text-to-video generation — handled better than most — and flexible for varied creative use cases. Worth the time if this is your use case.

C

Camille Laurent

Nov 23, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: image-to-video animation and useful for fast prototyping and iteration. On balance the feature set — especially text-to-video generation — justifies the 5 stars for our use case.

N

Nadia Petrova

Oct 9, 2025

Solid for our team

We rolled this out across the team last quarter and multiple input types: text, image, and audio. Support for multi-modal inputs fits neatly into how we already work, and image-to-video animation removed a step we used to do by hand. Learning curve for multimodal workflows, which is the main caveat, but it has held up under daily use.

O

Omar Haddad

Aug 15, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is image-to-video animation — handled better than most — and useful for fast prototyping and iteration. Worth the time if this is your use case.

问答

暂无问题 — 来当第一个提问的人吧。

提问

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