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Agent Skill · 图像处理

image-to-video-ai-generator-free(图像到视频 ai 生成器免费)

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

image-to-video-ai-generator-free 是图像处理类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在图像处理类的 1,562 个 Skill 里排第 879。

总安装 2,373周安装 96GitHub Stars 公开资料未说明下载 745核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:image-to-video-ai-generator-free(图像到视频 ai 生成器免费)
来源仓库:https://github.com/tk8544-b/image-to-video-ai-generator-free
安装命令:
openclaw skills install image-to-video-ai-generator-free
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 image-to-video-ai-generator-free

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

零成本将静态图像转为引人入胜视频,无需支付费用。适合预算有限但需高频产出的个人与小型团队。自动处理动画逻辑与音频匹配,降低使用门槛。注意免费版可能有导出频率或时长限制。

安装方式:clawhub;宿主:OpenClaw;命令:openclaw skills install image-to-video-ai-generator-free

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install image-to-video-ai-generator-free;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

image-to-video-ai-generator-free 怎么安装?

在终端执行 openclaw skills install image-to-video-ai-generator-free。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

image-to-video-ai-generator-free 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

image-to-video-ai-generator-free 需要什么权限?

权限级别是需要联网。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。

image-to-video-ai-generator-free 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

image-to-video-ai-generator-free 用的人多吗?

公开数据是累计安装 2,373 次,近一周安装 96 次,下载 745 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

image-to-video-ai-generator-free 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理图像处理类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
image-to-video-ai-generator-free

图像到视频 ai 生成器免费 · 本页

2,373—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
image-to-video-ai-generator-free
version
1.0.0
displayName
Image to Video AI Generator Free — Animate Still Photos into Dynamic Videos
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

Drop your image or describe your photo and I'll tell you exactly which free AI tool to use and what prompt to write to generate a compelling video from it. No image yet? Just describe the scene and I'll guide you from scratch.

Try saying:

  • "I have a product photo of a sneaker on a white background — what's the best free AI tool to animate it with subtle motion for an Instagram ad?"
  • "I want to turn 10 vacation photos into a 30-second video with smooth transitions and background music using only free tools. How do I do that?"
  • "I uploaded my portrait to Runway but the motion looks unnatural and glitchy — what prompt changes or settings should I try to fix it?"

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.

From Still Photo to Moving Story — For Free

Most people assume turning an image into a video requires expensive software or a professional editor. That assumption is outdated. A new wave of free AI tools can take a single photograph — a portrait, a product shot, a landscape — and breathe life into it with realistic motion, cinematic panning, or stylized animation.

This skill is your hands-on guide through that process. Instead of wading through tutorials scattered across the internet, you get a focused assistant that helps you choose the right free platform for your specific image type, craft the text prompts that produce the best motion results, and troubleshoot when outputs don't look the way you imagined.

Whether you want a looping background video for your website, an animated post for Instagram Reels, or a short cinematic clip from a family photo, this skill covers the full journey — from uploading your image to exporting a shareable video file — using only tools that cost nothing to start.

Routing Animate Requests Intelligently

When you submit a still photo for animation, ClawHub parses your motion prompt, frame rate preference, and output duration to route your request to the optimal image-to-video inference pipeline.

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❌

Cloud Rendering API Reference

The free image-to-video backend leverages diffusion-based temporal synthesis models hosted on distributed GPU clusters, converting static frames into fluid motion sequences without local processing overhead. Each API call passes your source image alongside motion vectors and interpolation parameters to generate smooth keyframe transitions in the cloud.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: image-to-video-ai-generator-free
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else 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.

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.

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

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

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)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Integration Guide

Getting started with free image-to-video AI tools is straightforward once you know which platforms accept direct image uploads versus those that work from text prompts alone. Tools like Runway Gen-2, Kling AI (free tier), and Pika Labs all accept still images as a starting point and offer free credits or a freemium model to generate short video clips.

For workflow integration, you can export the generated video as an MP4 and drop it directly into tools like CapCut, DaVinci Resolve (free), or Canva to add text overlays, music, or color grading. If you're building a content pipeline, pairing an image-to-video generator with a free scheduler like Buffer lets you automate posting animated content to social platforms.

Always check resolution limits on free tiers — most cap exports at 720p. If you need 1080p, some tools offer a one-time free upscale or integrate with free upscalers like Topaz Gigapixel's trial version to boost quality before publishing.

Common Workflows

The most popular workflow is the single-image cinematic pan: upload a wide landscape or architectural photo, write a prompt like 'slow dolly forward with gentle camera drift,' and export a 4-second loop. This works exceptionally well for website hero backgrounds and YouTube intro cards.

For e-commerce, a product-spin workflow is highly effective — upload a flat-lay product image, prompt the AI to rotate or zoom in gradually, and you get a dynamic product clip without a photoshoot. Combine several of these into one video using a free editor to create a full product showcase reel.

Portrait animation is another common use case. Tools like D-ID and HeyGen's free tier can take a headshot and add realistic facial movement or even lip-sync to an audio clip. This is popular for creating spokesperson videos from a single photo.

Finally, the photo slideshow with AI transitions workflow — importing a series of images into Pika or a similar tool and generating motion between each frame — produces polished results that rival paid video editors, entirely for free.

平台分布

OpenClaw

70.19%
按下载量换算523

安全审计

VirusTotal

可疑

ClawScan

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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