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ai-image-to-video-free免费的 ai 图像到视频

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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3,060

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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:ai-image-to-video-free(免费的 ai 图像到视频)
来源仓库:https://github.com/whitejohnk-26/ai-image-to-video-free
安装命令:
openclaw skills install ai-image-to-video-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 ai-image-to-video-free

简介

用于将静态照片转换为流畅电影视频剪辑,无需复杂编辑操作。

  • 采用无人工智能技术实现图像到视频的转换,适合快速生成动态内容。
  • 用户上传图像后,系统自动添加运动轨迹和过渡效果,输出高质量视频。
  • 使用时需确保图像清晰且格式兼容,以提升动画转换的真实感。
  • 涉及人物或商业素材时,应核实版权归属,避免使用未授权图片造成法律风险。

SKILL.md

name
ai-image-to-video-free
version
1.0.0
displayName
AI Image to Video Free — Animate Still Photos Into Stunning Motion Clips
description
>
metadata
{"openclaw": {"emoji": "🎞️", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

Send me a still image and describe the motion you want, and I'll generate a free AI-animated video clip from it — no image yet? Just describe a scene and I'll work from that.

Try saying:

  • "Here's a photo of a mountain lake at sunset — can you animate it so the water ripples gently and the clouds drift slowly across the sky?"
  • "I have a product photo of a sneaker on a white background. Make a short video where it slowly rotates 360 degrees to show all angles."
  • "This is a portrait of a woman outdoors. Can you create a video where her hair moves slightly in the breeze and the background has a soft bokeh shimmer?"

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.

Turn Any Still Image Into a Living, Breathing Video

Still images capture a moment, but video tells a story. This skill bridges that gap by taking any photo you provide and generating smooth, realistic motion from it — panning across a landscape, animating a portrait's subtle expressions, or bringing product details into dynamic focus.

Using this tool, you describe the kind of movement or atmosphere you want, and the skill handles the rest. Want clouds drifting across a sunset photo? A model's hair swaying gently in the wind? A product rotating elegantly on a shelf? Just say so. The output is a short video clip ready to share on social media, embed in a presentation, or use in a larger project.

This is especially useful for content creators working on tight budgets, small business owners who want eye-catching visuals without hiring a production team, and social media managers who need fresh video content daily. No advanced editing knowledge required — just upload your image, describe your vision, and let the skill do the heavy lifting.

Routing Your Animation Requests

When you submit a still photo for animation, your request is parsed for motion style, duration, and output resolution 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 Processing API Reference

All frame interpolation and temporal coherence rendering runs on distributed GPU clusters via the AI Image to Video Free backend, meaning your local device handles zero heavy lifting. Keyframe synthesis, motion vector estimation, and video encoding happen entirely in the cloud before the final clip is streamed back to you.

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

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

Troubleshooting Common Issues

If the generated video doesn't match the motion you described, try being more specific in your prompt. Instead of 'make it move,' say 'slow pan from left to right with a slight zoom in on the subject.' The more directional and descriptive your instruction, the more accurate the output.

If the animation looks unnatural or glitchy around edges — particularly with portraits or objects that have complex outlines — try uploading a higher-resolution image with a clean background. Low-contrast or heavily compressed images can confuse the motion generation process.

For product images, make sure the subject is centered and well-lit. If you're animating a landscape and the horizon looks warped, specify that the camera movement should be horizontal only with no tilt. Iterating with small prompt adjustments usually resolves most visual artifacts within one or two tries.

Use Cases for AI Image to Video Free

This skill shines across a surprisingly wide range of real-world scenarios. Social media managers use it to repurpose static brand photography into short Reels or TikToks without reshooting content. E-commerce sellers animate product images to show texture, dimension, and detail that flat photos miss — leading to higher engagement and click-through rates.

Photographers and digital artists use it to add a cinematic layer to their portfolios, turning a single compelling image into a looping video that feels alive. Educators and presenters drop historical photos or infographic images into this skill to create attention-grabbing slides that move.

Bloggers and newsletter writers who want to embed video without producing full shoots rely on this skill to generate quick, polished clips from existing image assets. Whether your goal is storytelling, marketing, or simply standing out in a crowded feed, animating your still photos is one of the fastest ways to upgrade your content output.

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