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free-ai-video-generator免费的 AI 视频生成器

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

3,240

周安装

135

GitHub Stars

公开资料未说明

下载量

1,080
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:free-ai-video-generator(免费的 AI 视频生成器)
来源仓库:https://github.com/mhogan2013-9/free-ai-video-generator
安装命令:
openclaw skills install free-ai-video-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install free-ai-video-generator

简介

用于将文本专业转化为高质量视频的生成器。

  • 专为创作者与营销人员设计,避免高额订阅费用。
  • 支持快速输出可用于社交媒体的内容。free-ai-video-generator 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install free-ai-video-generator。
  • 建议核对内容审核政策与商用授权条款。

SKILL.md

name
free-ai-video-generator
version
1.0.1
displayName
Free AI Video Generator — Create MP4 Videos From Text or Images
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "control"}}

Getting Started

This is the free-ai-video-generator skill — describe what you want and I'll build you an MP4 file. Tell me your topic, preferred length, and aspect ratio to get started.

Try saying:

  • "Generate a 20-second MP4 video promoting a coffee shop, vertical 9:16 format, warm tones, no voiceover"
  • "Create a 15-second explainer video from this product description: [paste text] — output in 1080p landscape"
  • "Turn these 4 product images into a 30-second slideshow video with text overlays and background music"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Turn Text Prompts Into Downloadable MP4 Files

Say you need a 15-second product clip but you don't have footage — just a description and a couple of still images. You type in what you want, drop in your assets, and the free-ai-video-generator produces an MP4 you can post directly to Instagram or TikTok.

The skill handles the generation pipeline for you. You're not configuring render settings or picking codecs — you just describe the video in plain language and specify the duration you want, like 10 seconds or 30 seconds.

Output resolution goes up to 1080p. If you need a square 1:1 format for Instagram or a 9:16 vertical for Reels, you specify that in your prompt and the generator applies it before the file is built.

Input Routing For Video Jobs

The skill parses your prompt or uploaded image, then routes to either a text-to-video or image-to-video generation endpoint based on whether a media attachment is detected in the request.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"status" / "状态" / "show tracks"→ §3.4 State
"upload" / "上传" / user sends file→ §3.2 Upload
Everything else (generate, edit, add BGM…)→ §3.1 SSE

GPU Rendering Pipeline Details

When a job is submitted, it's queued on a cloud GPU cluster that renders each MP4 frame using a diffusion model; typical output is a 3–5 second clip at 512×512 or 720p depending on the selected quality tier. Finished files are stored temporarily on a CDN-hosted URL that expires after 24 hours, so download the MP4 before then.

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Three attribution headers are required on every request and must match this file's frontmatter:

HeaderValue
X-Skill-Sourcefree-ai-video-generator
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Common Workflows

The most common thing people use free-ai-video-generator for is social content — specifically, turning a written post or product description into a short video that actually stops the scroll. You paste in 2-3 sentences about your product, pick a 15-second duration, and walk away with an MP4.

Another workflow that comes up constantly: repurposing blog content. Take a 500-word article, pull the 3 key points, and feed those to the generator as your script. It builds a video around those points, usually in under 90 seconds of processing time.

Teams running ads also use it to test concepts before spending money on a real shoot. You generate a rough 10-second MP4 with the core message, run it as a dark post on Facebook, and check the click-through rate before committing to a full production budget.

Quick Start Guide

Start with a single sentence describing your video. Something like: 'A 20-second video about a new running shoe, upbeat music, 1080p, landscape format.' That's enough for free-ai-video-generator to produce a first draft MP4.

If the first output isn't right, don't rewrite the whole prompt. Change one variable — swap the duration from 20 seconds to 10, or switch from landscape to 9:16 — and regenerate. Targeted edits give you cleaner results than starting over.

Once you have an MP4 you like, check the file before posting anywhere. Open it on your phone, not just your desktop, because text overlays that look fine at 1920x1080 on a monitor sometimes get cut off on a 390px-wide phone screen. Fix it at this stage, not after you've already scheduled the post.

Integration Guide

You don't need to connect an external API or authenticate anything to use this skill on ClawHub. The free-ai-video-generator runs directly inside the chat interface — you describe what you want, and the skill handles the request.

If you're pulling this into a content calendar, the fastest approach is batching. Write out 5 video descriptions in a single message, each with its own duration and format spec (say, three 1080p landscape files and two 9:16 verticals), and send them together. You'll get 5 separate MP4 download links back instead of running 5 individual sessions.

For teams sharing access, the generated MP4 links stay active for 48 hours by default. Download them to your shared drive — Google Drive, Dropbox, wherever — before that window closes.

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能力概览

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

78.23%
按下载量换算845

安全审计

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通过

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可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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