Token导航 LogoToken导航TokenDH.com
图像处理需要联网clawhub未标认证来源可访问clear审计通过

image-to-video-maker图像到视频制作器

Agent Skill

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。

总安装

4,301

周安装

174

GitHub Stars

公开资料未说明

下载量

1,350
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:image-to-video-maker(图像到视频制作器)
来源仓库:https://github.com/peand-rover/image-to-video-maker
安装命令:
openclaw skills install image-to-video-maker
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-maker

简介

为文件夹中的静态照片注入活力,提升视觉吸引力。

  • 适合电商、摄影及个人内容创作场景使用。
  • 上传图片并指定动画风格,一键生成可分享视频。
  • 避免使用受版权保护或敏感人物素材。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • image-to-video-maker 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
image-to-video-maker
version
1.0.0
displayName
Image to Video Maker — Transform Still Photos Into Dynamic Video Slideshows
description
>
metadata
{"openclaw": {"emoji": "🎞️", "requires": {"env": [], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}
homepage
https://nemovideo.com
repository
https://github.com/nemovideo/nemovideo_skills

Getting Started

Welcome! Ready to turn your photos into a video that actually gets watched? Share your images and tell me how you'd like your video to look — let's build something great together.

Try saying:

  • "Turn these 12 product photos into a 30-second promotional video with smooth fade transitions"
  • "Create a travel video slideshow from my vacation photos, showing each image for 3 seconds with a cinematic feel"
  • "Make a birthday tribute video using these 20 family photos, ordered chronologically with gentle transitions"

Quick Start Setup

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

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

  • Read ~/.config/nemovideo/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 /api/tasks/me/with-session/nemo_agent at the same host 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.

Turn Your Best Photos Into Videos Worth Watching

Most people have hundreds of photos that never get shared simply because a single image doesn't tell the whole story. The image-to-video-maker skill changes that by stitching your still photos together into a flowing video that captures attention and communicates a narrative — whether it's a travel recap, a product showcase, a real estate walkthrough, or a family memory reel.

With this skill, you stay in control of the creative direction. You can specify how long each image should appear on screen, choose the order photos are displayed, and describe the mood or pacing you're going for. The result is a video that feels intentional and professional, not like an auto-generated slideshow from a decade-old app.

This tool is built for real-world use cases: social media content creators who need quick turnaround, small business owners showcasing products without a video budget, photographers delivering client galleries in a new format, and everyday users who just want to make something memorable. Whatever your reason, image-to-video-maker gets you from a folder of photos to a finished video in minutes.

Routing Your Slideshow Requests

Each request — whether you're uploading photos, setting transition styles, adjusting timing, or exporting your final video — is parsed and routed to the matching NemoVideo endpoint based on the action type detected in your message.

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

NemoVideo API Reference

The NemoVideo backend handles frame sequencing, Ken Burns motion effects, transition rendering, and audio sync to stitch your still images into a polished video slideshow. All processing happens server-side, so output quality and render speed depend on your active NemoVideo plan tier.

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

  • X-Skill-Source: image-to-video-maker
  • 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. After creating a session, give the user a link: https://nemovideo.com/workspace/claim?token=&task=<task_id>&session=<session_id>&skill_name=image-to-video-maker&skill_version=1.0.0&skill_source=<platform>

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 at nemovideo.ai"
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 at nemovideo.ai to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

FAQ

How many images can I include in one video? There's no hard cap, but for smooth performance and a watchable result, most users work with between 5 and 60 images per video. Very large batches may benefit from being split into segments.

Can I add music or audio to my image video? Yes — you can describe the type of background music you want, or mention if you'd like a silent video. If you have a specific audio file in mind, note that in your prompt.

What aspect ratio will the video be? By default, the output is optimized for landscape (16:9), which works well for most platforms. If you need a square (1:1) format for Instagram or vertical (9:16) for TikTok or Reels, just specify that in your request.

Will the skill work with screenshots or graphics, not just photos? Absolutely. The image-to-video-maker handles any still image file — photographs, illustrations, screenshots, infographics, or design mockups all work as source material.

Troubleshooting

Images appear out of order in the final video: Make sure to specify the sequence explicitly when uploading. You can number your files or describe the desired order in your prompt (e.g., 'start with the exterior shots, then move to interiors').

Video output looks blurry or pixelated: This usually happens when the source images are low resolution. For best results, use photos that are at least 1080px on the shortest side. If you're working with older or compressed images, mention this upfront so the output settings can be adjusted accordingly.

The video is too long or too short: You can control pacing by specifying how many seconds each image should display. If you didn't set a duration and the result feels off, simply ask for a revised version with a specific timing (e.g., '2 seconds per image' or 'fit everything into 60 seconds').

Unsupported file format on playback: The image-to-video-maker supports mp4, mov, avi, webm, and mkv. If your device or platform has trouble playing the output, request a specific format in your next prompt.

Quick Start Guide

Step 1 — Gather your images: Collect the photos or graphics you want to include. For the best output, use consistently sized images and remove any duplicates or low-quality shots before uploading.

Step 2 — Describe your vision: In your prompt, tell the skill how long the video should be, how long each image should appear, what kind of transitions you prefer (fade, slide, cut, etc.), and whether you want any text overlays or audio.

Step 3 — Specify your output format: Choose from mp4, mov, avi, webm, or mkv depending on where you plan to use the video. If you're unsure, mp4 is the most universally compatible choice.

Step 4 — Review and refine: Once your first video is generated, watch it through and note anything you'd like adjusted — timing, order, pacing, or format. You can iterate quickly by describing what needs to change in a follow-up message. Most users get to a final result within two or three rounds of feedback.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

98.09%
按下载量换算1,324

安全审计

VirusTotal

通过

ClawScan

通过

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills