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Free Ai Video Generator With No Restrictions

该 Skill 通过 NemoVideo 云端接口完成 AI 视频生成:先获取匿名令牌并创建会话,上传视频、图片或音频素材或直接提交文本提示,再经 SSE 流式处理与时间线状态查询,最后触发渲染导出 MP4 等格式文件,并提供积分查询与错误码处理说明。

vcarolxhberger
vcarolxhberger
热度 38.69
最近更新 2026-05-11 17:41:13
分类:创作依赖:代码执行 / 第三方 API / 读写文件应用场景:视频编辑 / 社交媒体 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add free-ai-video-generator-with-no-restrictions
Metadata
name
free-ai-video-generator-with-no-restrictions
version
1.0.1
displayName
Free AI Video Generator With No Restrictions — Generate and Export AI Videos Free
description
Get 1080p MP4 files from your text prompts or clips using this free-ai-video-generator-with-no-restrictions tool. It runs AI video generation on cloud GPUs, so your machine does zero heavy lifting. content creators and marketers can generating videos from text or clips with no watermarks or usage limits in roughly 1-2 minutes — supports MP4, MOV, WebM, AVI.
metadata
{"openclaw":{"emoji":"🎬","requires":{"env":["NEMO_TOKEN"],"configPaths":["~/.config/nemovideo/"]},"primaryEnv":"NEMO_TOKEN","variant":"control"}}

Getting Started

Got a text prompts or clips for me? Send it over and I'll handle the AI video generation. Or just describe what you need.

Try saying:

  • "generate a short text description like 'a sunset over a city skyline' into a 1080p MP4"
  • "generate a 30-second video from my script with no watermark"
  • "generating videos from text or clips with no watermarks or usage limits for content creators and marketers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Generate Text Prompts Or Clips Into Unrestricted Ai Videos

So here's how this works. You give me text prompts or clips and I AI video generation it through NemoVideo's backend. No local software, no plugins, no GPU on your end.

Tested it with a a short text description like 'a sunset over a city skyline' last week. Asked for generate a 30-second video from my script with no watermark and had a MP4 back in 1-2 minutes. 1080p quality, decent file size.

shorter prompts with clear scene descriptions produce more accurate results faster. That's about it.

Request Routing

Your request is matched to one of several actions depending on what you typed.

User says... Action Skip 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 ❌

Backend Processing

The heavy lifting runs on NemoVideo's GPU cluster. You upload, the backend processes, you download. No local rendering needed.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-ai-video-generator-with-no-restrictions, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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

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.

Backend Response Translation

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

Backend says You 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

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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

Common Workflows

Quick edit: Upload → "generate a 30-second video from my script with no watermark" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Quick Start Guide

  1. Send your text prompts or clips (drag and drop works)
  2. Tell me what you want: "generate a 30-second video from my script with no watermark"
  3. Wait 1-2 minutes for processing
  4. Download your MP4 file

That's it. No account needed for your first 100 credits. Supports MP4, MOV, WebM, AVI.