Skill 与 AgentSKILLS & AGENTS· COLLECTION

FastVideo

hao-ai-lab/FastVideo

A unified inference and post-training framework for accelerated video generation.

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 · opencode
已识别的要求Documented requirements: API key · 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

UV · Python

uv pip install -e '.[mlx]'

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

需检查Needs review

01需要 API KeyREQUIRES API KEY: 是Yes
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

讨论DISCUSSION

1 SOURCES1 SOURCES

1 条外部提及1 external mentions

状态STATUS

持续活跃Active

相关讨论RELATED DISCUSSIONS

FastVideo: a lightweight framework for accelerating large video diffusion models
HN_STORY · 110 points · 24 comments

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

来源 URLSource URL: https://github.com/hao-ai-lab/FastVideo
原始数据哈希Raw data hash: 2fd01238ea8b36244db59e049213226f
解析时间Parsed at: 2026-10-11T23:32:48.631Z
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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    },
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      "agent": "opencode",
      "evidence": ".agents/skills/add-model-08-trace/SKILL.md: …FASTVIDEO_TRACE_OUTPUT=\"/tmp/opencode/fv_trace.jsonl\" \\ pytest test…"
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