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Agent Skill · 图像处理

image-to-video(图像到视频)

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 是图像处理类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,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 395。

总安装 7,858周安装 321GitHub Stars 380下载 2,517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
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:image-to-video(图像到视频)
来源仓库:https://github.com/inference-sh/skills
仓库路径:skills/image-to-video
安装命令:
npx skills add https://github.com/inference-sh/skills --skill image-to-video
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/inference-sh/skills --skill image-to-video

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。

image-to-video 用于辅助图像生成与编辑,支持视觉素材处理和图像模型工作流。适合根据文本提示生成图片、处理背景或调用相关图像工具。使用时需确认输入图片来源、输出格式及模型限制条件。涉及人物、品牌或公开展示素材时,应核对授权与内容合规性。建议结合版权信息和输出用途评估适用场景。

来源仓库内路径:skills/image-to-video

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/inference-sh/skills --skill image-to-video;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

    它需要调用外部服务,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 怎么安装?

在终端执行 npx skills add https://github.com/inference-sh/skills --skill image-to-video。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 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

image-to-video 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。

image-to-video 用的人多吗?

公开数据是累计安装 7,858 次,近一周安装 321 次,下载 2,517 次,GitHub 380 星。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 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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

  • 需要明确授权才能用到公司项目里的场景。
  • 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

图像到视频 · 本页

7,858380调用外部服务未明确有提醒

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

Image to Video

Convert still images to animated videos via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions
belt login

# Generate a still image
belt app run falai/flux-dev-lora --input '{
  "prompt": "serene mountain lake at sunset, snow-capped peaks reflected in still water, golden hour light, landscape photography",
  "width": 1248,
  "height": 832
}'

# Animate it
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle ripples on the lake surface, clouds slowly drifting, warm light shifting, birds flying in the distance",
  "image": "path/to/lake-image.png"
}'

Model Selection

ModelApp IDBest ForMotion Style
Wan 2.5 i2vfalai/wan-2-5-i2vRealistic motion, natural movementPhotorealistic, subtle
WAN-I2V (Pruna)pruna/wan-i2vEconomical, fast, 480p/720pNatural, efficient
Seedance 1.5 Probytedance/seedance-1-5-proStylized, creative, animation-likeArtistic, expressive
Seedance 1.0 Probytedance/seedance-1-0-proGeneral purpose, good qualityBalanced
Fabric 1.0falai/fabric-1-0Cloth, fabric, liquid, flowing materialsPhysics-based flow
Grok Imagine Videoxai/grok-imagine-videoGeneral animation, text-guidedVersatile

When to Use Each

ScenarioBest ModelWhy
Landscape with water/cloudsWan 2.5 i2vBest at natural, realistic motion
Portrait with subtle expressionWan 2.5 i2vMaintains face fidelity
Product with fabric/clothFabric 1.0Specialized in material physics
Flag waving, curtain flowingFabric 1.0Cloth simulation
Illustrated/artistic imageSeedanceMatches stylized content
General "bring to life"Seedance 1.5 ProGood all-rounder
Quick test/iterationSeedance 1.0 LiteFastest, 720p

Motion Types

Camera Movement

MovementPrompt KeywordEffect
Push in / Dolly forward"slow dolly forward", "camera pushes in"Increasing intimacy/focus
Pull out / Dolly back"camera pulls back", "slow zoom out"Reveal, context
Pan left/right"camera pans slowly to the right"Scanning, following
Tilt up/down"camera tilts upward"Revealing height
Orbit"camera orbits around the subject"3D exploration
Crane up"camera rises upward"Grand reveal
Static(no camera movement prompt)Subject motion only

Subject Motion

TypePrompt Examples
Natural elements"water rippling", "clouds drifting", "leaves rustling in breeze"
Hair/clothing"hair blowing gently in wind", "dress fabric flowing"
Atmospheric"fog slowly rolling", "dust particles floating in light beams"
Character"person slowly turns to camera", "subtle breathing motion"
Mechanical"gears turning", "clock hands moving"
Liquid"coffee steam rising", "paint dripping", "water pouring"

Prompting Best Practices

The Golden Rule: Subtle > Dramatic

AI video models produce better results with gentle, subtle motion than dramatic action. Requesting too much movement causes distortion and artifacts.

❌ "person running and jumping over obstacles while the camera spins"
✅ "person slowly walking forward, gentle breeze, camera follows alongside"

❌ "explosion with debris flying everywhere"
✅ "candle flame flickering gently, warm ambient light shifting"

❌ "fast zoom into the eyes with dramatic camera shake"
✅ "slow dolly forward toward the subject, subtle focus shift"

Prompt Structure

[Camera movement] + [Subject motion] + [Atmospheric effects] + [Mood/pace]

Examples by Scenario

# Landscape animation
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle camera pan right, water reflecting moving clouds, trees swaying slightly in breeze, warm golden light, peaceful and slow",
  "image": "landscape.png"
}'

# Portrait animation
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "subtle breathing motion, slight head turn, natural eye blink, hair moving gently, soft ambient lighting shifts",
  "image": "portrait.png"
}'

# Product shot animation
belt app run bytedance/seedance-1-5-pro --input '{
  "prompt": "slow 360 degree orbit around the product, gentle spotlight movement, subtle reflections shifting, premium product showcase, smooth motion",
  "image": "product.png"
}'

# Fabric/cloth animation
belt app run falai/fabric-1-0 --input '{
  "prompt": "fabric flowing and rippling in gentle wind, natural cloth physics, soft movement",
  "image": "fabric-scene.png"
}'

# Architectural visualization
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "slow dolly forward through the entrance, slight camera tilt upward, ambient light filtering through windows, dust particles in light beams",
  "image": "building-interior.png"
}'

Duration Guidelines

DurationQualityUse For
2-3 secondsHighest qualityGIFs, looping backgrounds, cinemagraphs
4-5 secondsHigh qualitySocial media posts, product reveals
6-8 secondsGood qualityShort clips, transitions
10+ secondsQuality degradesAvoid unless stitching shorter clips

Extending Duration

For longer videos, generate multiple short clips and stitch:

# Generate 3 clips from the same image with progressive motion
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "slow pan left, gentle water motion",
  "image": "scene.png"
}' --no-wait

belt app run falai/wan-2-5-i2v --input '{
  "prompt": "continuing pan, clouds shifting, light changing",
  "image": "scene.png"
}' --no-wait

# Stitch together
belt app run infsh/media-merger --input '{
  "media": ["clip1.mp4", "clip2.mp4"]
}'

The Full Workflow

Still-to-Final-Video Pipeline

# 1. Generate source image (best quality)
belt app run bytedance/seedream-4-5 --input '{
  "prompt": "cinematic landscape, misty mountains at dawn, lake in foreground, dramatic clouds, golden hour, 4K quality, professional photography",
  "size": "2K"
}'

# 2. Animate the image
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "gentle mist rolling through the valley, lake surface rippling, clouds slowly moving, birds in distance, warm light shifting",
  "image": "landscape.png"
}'

# 3. Upscale video if needed
belt app run falai/topaz-video-upscaler --input '{
  "video": "animated-landscape.mp4"
}'

# 4. Add ambient audio
belt app run infsh/hunyuanvideo-foley --input '{
  "video": "animated-landscape.mp4",
  "prompt": "gentle nature ambience, distant birds, soft wind, water lapping"
}'

# 5. Merge video with audio
belt app run infsh/video-audio-merger --input '{
  "video": "upscaled-landscape.mp4",
  "audio": "ambient-audio.mp3"
}'

Cinemagraph Effect

A cinemagraph is a still photo where only one element moves (e.g., waterfall moving in an otherwise frozen scene). To achieve this:

  1. Generate the still image with the motion element clearly defined
  2. Prompt for motion only in that specific element
  3. Keep to 2-4 seconds for seamless looping
belt app run falai/wan-2-5-i2v --input '{
  "prompt": "only the waterfall is moving, everything else remains perfectly still, water cascading smoothly, rest of scene frozen",
  "image": "waterfall-scene.png"
}'

Common Mistakes

MistakeProblemFix
Too much motion requestedDistortion, artifacts, warpingSubtle > dramatic, always
Wrong model for content typePoor resultsUse selection guide above
Clips too long (10s+)Quality degrades significantlyKeep to 3-5 seconds, stitch if needed
No camera movement specifiedRandom/unpredictable motionAlways specify camera behavior
Conflicting motion directionsChaotic, unnaturalOne primary motion direction
Low-res source imageLow-res video outputStart with highest quality source
Complex action scenesModels can't handleKeep motion simple and natural

Related Skills

npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@p-video
npx skills add inference-sh/skills@video-prompting-guide
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: belt app list

平台分布

Codex

34.73%
按下载量换算874

Claude

28.79%
按下载量换算725

Cursor

18.62%
按下载量换算469

Gemini CLI

8.44%
按下载量换算212

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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