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Agent Skill · 图像处理

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

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。

ai-free-image-to-video-generator 是图像处理类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为接触敏感数据;许可证信息还不明确,暂无第三方扫描结果,按安装量在图像处理类的 1,562 个 Skill 里排第 1,522。

总安装 198周安装 8下载 62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。
许可证
unknown

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:ai-free-image-to-video-generator(ai 免费图像到视频生成器)
来源仓库:https://skills.volces.com
仓库路径:ai-free-image-to-video-generator
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

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。

AI 免费图像到视频生成器用于图像生成和视频处理,支持视觉素材创作。适合让 Agent 根据文本生成图片或处理背景的场景。提供图像模型和视觉提示词的辅助处理功能。ai-free-image-to-video-generator 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

使用时需确认输入图片版权来源和输出格式限制。涉及人物或品牌素材时应核对授权和合规要求。

来源仓库内路径:ai-free-image-to-video-generator

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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 ai-free-image-to-video-generator。

  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

    它需要接触敏感数据,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

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

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 ai-free-image-to-video-generator。

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

公开资料标注支持 Local Agent。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。

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

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

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

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 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。

ai-free-image-to-video-generator 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。

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
ai-free-image-to-video-generator

ai 免费图像到视频生成器 · 本页

198—接触敏感数据未明确未收录

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

Getting Started

Welcome! Ready to turn your still photos into stunning videos? With the AI Free Image to Video Generator, you can animate any image in seconds — just upload your photo and tell me the style or motion you want to bring it to life with.

Try saying:

  • "Animate this product photo with a slow zoom-in and soft bokeh blur for an Instagram ad"
  • "Turn my landscape photograph into a cinematic video clip with a gentle parallax sky movement"
  • "Convert this portrait image into a short looping video with a subtle breathing motion effect"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Read ~/.config/ai-free-image-to-video-generator/client_id or generate a UUID and save it there
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

From Frozen Moments to Moving Stories

Still images tell a story, but video makes people stop scrolling. The AI Free Image to Video Generator bridges that gap by transforming your photos into fluid, engaging video clips that feel professionally produced — without the production budget or software expertise.

Whether you're working with product photos, travel snapshots, portraits, or illustrations, this skill breathes life into them using intelligent motion synthesis. It analyzes the visual composition of your image and applies realistic movement — subtle camera pans, zoom effects, parallax depth, or ambient animation — tailored to the content of the photo itself.

This tool is built for creators who move fast. Social media managers can repurpose existing photo libraries into video posts. E-commerce brands can animate product shots for ads. Bloggers and journalists can turn article images into shareable reels. No prior video editing experience is required — just bring your image and describe the vibe you're going for.

Routing Your Animation Requests

When you submit a still image for animation, your request is parsed for motion parameters, style directives, and frame duration before being dispatched to the appropriate 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

All image-to-video synthesis runs on a distributed cloud backend that handles frame interpolation, temporal coherence, and motion diffusion processing without consuming your local compute. Rendered video outputs are returned as streamable URLs tied to your active session token.

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

  • X-Skill-Source: ai-free-image-to-video-generator
  • 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

Tips and Tricks

To get the best results from the AI Free Image to Video Generator, start with high-resolution images — at least 1080px on the shortest side. Blurry or heavily compressed photos limit the quality of motion synthesis and can produce artifacts around edges.

When describing the motion you want, be specific. Instead of saying 'make it move,' try 'slow pan from left to right with a slight zoom toward the center subject.' The more directional detail you provide, the more precisely the output will match your vision.

For looping content like Instagram Reels or TikTok posts, request a 'seamless loop' in your prompt so the animation cycles smoothly without a jarring cut. Images with natural depth — foreground objects, midground subjects, and background scenery — tend to produce the most impressive parallax and 3D motion effects.

Performance Notes

The AI Free Image to Video Generator processes most standard images within 15 to 45 seconds depending on resolution and the complexity of the requested motion. Highly detailed images with intricate textures or dense backgrounds may take slightly longer as the model maps motion vectors across more visual data.

Output videos are typically delivered in MP4 format at up to 1080p resolution, making them immediately ready for upload to major platforms including YouTube, Instagram, TikTok, and LinkedIn. For best playback performance, avoid requesting motion effects that conflict with the image's natural geometry — for example, applying a dramatic forward push-in to a flat, textureless background may produce visible distortion.

If your first result doesn't fully match your expectations, refining your motion description with additional keywords like 'gentle,' 'dramatic,' 'slow,' or 'fluid' in a follow-up prompt often produces a noticeably improved output.

Integration Guide

The AI Free Image to Video Generator fits naturally into existing creative workflows. If you manage content for multiple platforms, batch your image uploads by campaign or theme and process them sequentially with consistent motion style prompts to maintain a cohesive visual identity across all your video outputs.

For e-commerce use cases, pair this skill with your product photography pipeline. After a photo shoot, run hero images through the generator to create animated variants for paid social ads — animated ads consistently outperform static images in click-through rates without requiring a full video production shoot.

Content teams using scheduling tools like Buffer or Later can generate videos here and download them directly for upload into their queues. For bloggers and newsletter creators, animated image clips embedded in email campaigns or blog headers dramatically increase time-on-page and engagement metrics compared to static visuals alone.

平台分布

Local Agent

87.61%
按下载量换算54

安全审计

暂无安全审计结果可展示。

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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