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

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。

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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-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

简介

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

SKILL.md

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.

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