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free-ai-image-editor免费的 AI 图像编辑器

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

5,809

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下载量

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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:free-ai-image-editor(免费的 AI 图像编辑器)
来源仓库:https://github.com/vcarolxhberger/free-ai-image-editor
安装命令:
openclaw skills install free-ai-image-editor
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 free-ai-image-editor

简介

用于免费删除背景、增强照明与应用艺术效果。

  • 支持普通照片转视觉效果,无需付费订阅。
  • 适合快速美化图像而不涉及复杂编辑流程。
  • 安装命令:openclaw skills install free-ai-image-editor。
  • 建议核对输出版权归属与商用授权边界。free-ai-image-editor 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
free-ai-image-editor
version
1.0.0
displayName
Free AI Image Editor — Edit, Enhance & Transform Photos Instantly with AI
description
>
metadata
{"openclaw": {"emoji": "🖼️", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}

Getting Started

Welcome to your free AI image editor — describe the edit you want or upload a photo and tell me what to change, and I'll handle the rest. Ready to transform your image? Let's get started!

Try saying:

  • "Remove background from my photo"
  • "Brighten and sharpen this image"
  • "Add vintage film grain effect"

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.

Edit Any Photo With Just Your Words

Imagine describing the edit you want — 'make the sky more dramatic,' 'remove that object in the background,' or 'give this a vintage film look' — and watching it happen in seconds. That's exactly what this free AI image editor skill is built for. No complicated software, no steep learning curves, and no subscription fees standing between you and a great-looking image.

This skill handles a wide range of photo editing tasks that used to require professional tools or hours of manual work. Whether you're cleaning up product photos for an online store, touching up a portrait for a profile picture, or experimenting with creative visual styles for social media, you can get results that look intentional and polished.

The approach here is conversational — you tell the editor what you're going for, and it figures out how to get there. You can iterate quickly, try different directions, and refine your image step by step without ever opening a separate app or learning a single keyboard shortcut.

Routing Your Edit Requests

Each prompt you submit — whether you're removing backgrounds, upscaling resolution, or applying generative fills — gets parsed and routed to the matching AI pipeline based on the detected edit type and image context.

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

The free AI image editor runs on a distributed cloud backend that handles diffusion model inference, pixel-level masking, and non-destructive layer processing remotely — no GPU required on your end. Processed images are returned as high-fidelity exports, with session metadata cached temporarily to support iterative edits.

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

  • X-Skill-Source: free-ai-image-editor
  • 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

Get the most out of this free AI image editor by being specific in your descriptions. Instead of saying 'make it look better,' try 'increase contrast, warm up the tones, and sharpen the subject.' The more detail you give, the closer the first result will be to what you're picturing.

For background removal, photos with clear contrast between the subject and background tend to produce cleaner edges. If you're editing a portrait, mention whether you want the background fully transparent, replaced with a color, or swapped for a different scene.

You can also stack edits — ask for a color grade first, then request a crop or text overlay in a follow-up. Treating it like a back-and-forth conversation rather than a one-shot request gives you much more control over the final result.

Best Practices

Before editing, think about where the final image will be used. Social media thumbnails, product listings, and print materials each have different resolution and aspect ratio requirements — mentioning the destination in your prompt (e.g., 'format this for an Instagram square post') helps the editor make smarter decisions about cropping and sizing.

For brand consistency, describe your color palette or visual style upfront. Saying 'keep edits clean and minimal, using cool neutral tones' sets a direction that carries through multiple edits in a session.

Always keep a copy of your original image before making major changes. While this free AI image editor is designed to be non-destructive in its suggestions, having the source file gives you a clean starting point if you want to try a completely different creative direction.

Performance Notes

This free AI image editor performs best with high-resolution source images. Low-quality or heavily compressed JPEGs may produce softer results, especially for tasks like sharpening, upscaling, or fine detail retouching. When possible, start with the highest quality version of your image.

Complex edits — like replacing a detailed background or making significant lighting changes — may take slightly longer to process than simple adjustments like cropping or color correction. If a result isn't quite right, a short follow-up instruction like 'make the shadows less harsh' is usually faster than starting over from scratch.

Images with multiple subjects or cluttered scenes may require more specific instructions to get precise results. Calling out exactly which element you want edited ('the person on the left,' 'the bottle in the foreground') helps the editor focus on the right area.

适合场景

01

商品图处理

02

人像抠图

03

透明背景素材

04

营销设计资产

能力概览

能力 1

调用背景移除模型

能力 2

输出透明背景图片

能力 3

支持商品、人像和营销素材处理

能力 4

可接入图像编辑工作流

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

91.25%
按下载量换算1,857

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

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