Skill 与 AgentSKILLS & AGENTS

LightX2V

ModelTC/LightX2V

Lightweight Image Video Action Generation Inference Framework

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code
已识别的要求Documented requirements: Local runtime
许可LICENSE: Apache-2.0

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

PIP · Python

pip install ruff pre-commit

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 未在文档中发现Not found in the docs
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

11 OCT 202611 OCT 2026

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/ModelTC/LightX2V
原始数据哈希Raw data hash: a7e3e63c3a3ea7546845626f1dc8b672
解析时间Parsed at: 2026-10-11T23:33:32.575Z
最后一次验证Last verified: 2026-10-11T22:11:29.227Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:play:repo:video-generation
分类来源Category source: rules
焦点Focus: play (8)

完整解析证据 JSONFull parse evidence JSON

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