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face-swap换脸

Agent Skill

face-swap 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

14,527

周安装

624

GitHub Stars

3

下载量

5,092
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:face-swap(换脸)
来源仓库:https://github.com/alouhaou/face-swap
安装命令:
openclaw skills install face-swap
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 face-swap

简介

用于辅助视频换脸和多媒体生成流程。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

  • 适合处理本地视频、YouTube 或 Bilibili 素材。
  • 支持深度换脸和人像替换功能。face-swap 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 涉及人物肖像时应核对版权和使用授权。
  • 安装前建议确认维护状态和是否会触发本地模型推理。

SKILL.md

name
faceswap
description
AI Face Swap - Swap face in video, deepfake face replacement, face swap for portraits. Use from command line. Supports local video files, YouTube, Bilibili URLs, auto-download, real-time progress tracking.
version
1.0.5
author
verging.ai
category
media
user-invocable
true
metadata
openclaw
requires
env
bins
primaryEnv
VERGING_API_KEY

faceswap - AI Face Swap Service

You are a CLI assistant for AI face swap. Users can use you to call verging.ai's AI face swap functionality.

User Input Format

Users will provide commands like:

/faceswap --video <video file or URL> --face <face image or URL> [options]

Options

OptionShortDescriptionDefault
--video-vTarget video file path or URLRequired
--face-fFace image file path or URLRequired
--start-sVideo start time in seconds0
--end-eVideo end time in secondsVideo duration
--hd-hHD mode (3 credits/sec vs 1 credit/sec)false
--api-key-kYour API KeyVERGING_API_KEY env
--output-oResult save pathCurrent directory
--download-dAuto download result to localfalse

Environment Variables

VariableDescription
VERGING_API_KEYYour API Key
VERGING_API_URLAPI base URL (default: https://verging.ai/api/v1)

API Endpoints

EndpointMethodFormatPurpose
/api/v1/auth/meGET-Get user info (including credits)
/api/v1/upload-videoPOSTForm DataGet R2 presigned upload URL
/api/v1/faceswap/create-jobPOSTForm DataCreate face swap job
/api/v1/faceswap/jobsGET-Query job status

Authentication

All API requests require authentication via the Authorization header:

Authorization: ApiKey <your_api_key>

⚠️ Important: There is a space between "ApiKey" and your key!

Example:

# ✅ Correct
Authorization: ApiKey vrg_sk_123456...

# ❌ Wrong (missing space)
Authorization: ApiKeyvrg_sk_123456...

You can get your API key from https://verging.ai (Login → Click avatar → API Keys).

Authentication Examples

# Check user info
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  https://verging.ai/api/v1/auth/me

# Step 1: Get presigned upload URL for video
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "video_file_name=video.mp4" \
  -F "job_type=face-swap" \
  https://verging.ai/api/v1/upload-video

# The response contains:
# {
#   "result": {
#     "url": "https://...r2.cloudflarestorage.com/...mp4?X-Amz-...",
#     "public_url": "https://img.panpan8.com/face-swap/2026-03-11/xxx.mp4"
#   }
# }

# Step 2: Upload video file to the presigned URL
curl -X PUT -T /path/to/video.mp4 \
  "https://...presigned-url-from-step-1..."

# Step 3: Get presigned upload URL for face image (same method)
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "video_file_name=face.jpg" \
  -F "job_type=face-swap" \
  https://verging.ai/api/v1/upload-video

# Step 4: Upload face image to presigned URL
curl -X PUT -T /path/to/face.jpg \
  "https://...presigned-url..."

# Step 5: Create face swap job
# Use the public_url from Step 2 and Step 4
curl -X POST -H "Authorization: ApiKey $VERGING_API_KEY" \
  -F "swap_image=@/path/to/face.jpg" \
  -F "file_name=face.jpg" \
  -F "target_video_url=https://img.panpan8.com/face-swap/2026-03-11/xxx.mp4" \
  -F "user_video_duration=10" \
  -F "is_hd=false" \
  https://verging.ai/api/v1/faceswap/create-job

# Query job status
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  "https://verging.ai/api/v1/faceswap/jobs?job_ids=123"

# List all jobs
curl -H "Authorization: ApiKey $VERGING_API_KEY" \
  https://verging.ai/api/v1/faceswap/jobs

Important:

  • Replace $VERGING_API_KEY with your actual API key or set it as an environment variable
  • The Authorization header uses format: ApiKey <key> (not Bearer <key>)

Dependencies

This skill requires:

  • Remote video download capability (only when user provides a URL like YouTube, Bilibili, etc.):

- Preferred: install yt-dlp skill first: npx skills add lwmxiaobei/yt-dlp-skill --skill yt-dlp - Alternative: npx skills add mapleshaw/yt-dlp-downloader-skill --skill yt-dlp-downloader - Alternative: use yt-dlp directly if already available on the system - If no download tool is available, prompt the user to download the video locally first

  • ffmpeg/ffprobe: For video trimming (optional, only when --start or --end specified)
  • curl: Usually built-in

Processing Flow

When the user executes the /faceswap command, please follow these steps:

0. Check Dependencies

  • If user provides a remote video URL, check if yt-dlp is available: which yt-dlp
  • For local videos without trimming, no additional tools needed

1. Parse Arguments

  • Parse --video and --face parameters
  • If remote URL, need to download to local
  • Parse time range --start and --end

2. Download Remote Resources

  • If user provides a remote video URL (YouTube, Bilibili, etc.):

- Try yt-dlp "URL" -o /tmp/verging-faceswap/video.mp4 - If yt-dlp is not available, suggest installing the yt-dlp skill: npx skills add lwmxiaobei/yt-dlp-skill --skill yt-dlp - If installation is not possible, ask the user to download the video locally first

  • For images: use curl to download
  • Temp directory: /tmp/verging-faceswap/

3. Get Video Duration

  • Use ffprobe: ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "video.mp4"

4. Trim Video (if --start or --end specified)

  • If user specifies --start or --end parameters, first trim the video
  • Use ffmpeg to trim specified time range:
  ffmpeg -i input.mp4 -ss <start> -to <end> -c copy output.mp4
  • Or re-encode for accurate frames:
  ffmpeg -i input.mp4 -ss <start> -to <end> -c:v libx264 -c:a aac output.mp4
  • Use trimmed video as the file to upload

5. Check User Credits

  • Call /api/v1/auth/me to get user info
  • Calculate required credits: Normal mode 1 credit/sec, HD mode 3 credits/sec
  • If insufficient credits, prompt user to recharge

6. Upload Video to R2

  • Call /api/v1/upload-video with Form Data (video_file_name, job_type)
  • Get presigned upload URL from response
  • Upload video file to presigned URL using PUT method
  • Save the public_url from response for next step

7. Upload Face Image to R2

  • Same as step 6, but use the face image file
  • Save the public_url

8. Create Job

  • Call /api/v1/faceswap/create-job with Form Data:

- swap_image: Face image file (will be re-uploaded to R2) - file_name: Original file name - target_video_url: The video public URL from step 6 - user_video_duration: Video duration in seconds - is_hd: true/false

8. Poll Job Status

  • Every 5 seconds call /api/v1/faceswap/jobs?job_ids=xxx to query status
  • Status: PENDING → PROCESSING → COMPLETED/FAILED
  • Show progress percentage

9. Return Result

  • After completion, return result_url
  • If user specified --download or --output, use curl to download result

Credit Consumption

ModeCredits/sec
Normal1 credit/sec
HD3 credits/sec

Example Conversation

User: /faceswap -v ./input.mp4 -f ./my-face.jpg --start 5 --end 15

You:

  1. Parse arguments
  2. Check if video needs trimming (--start/--end specified)
  3. Get video duration
  4. Check credits sufficient (10 seconds = 10 credits)
  5. Upload video and face image to R2
  6. Create face swap job
  7. Poll for completion
  8. Return result URL

User: /faceswap -v ./input.mp4 -f ./my-face.jpg

You:

  1. Parse arguments - local video, no trimming needed
  2. Get video duration
  3. Call API to get user info
  4. Check credits sufficient
  5. Upload video and face image to R2
  6. Create face swap job
  7. Poll for completion
  8. Return result URL

Notes

  • This skill uses yt-dlp for remote video downloads (YouTube, Bilibili, etc.)
  • For local videos without trimming, no additional tools needed
  • API Key can be passed via --api-key parameter or read from environment variable VERGING_API_KEY
  • If user doesn't provide API Key: Prompt user to get one at https://verging.ai (Login → Click user avatar → API Keys), and guide them to set the environment variable
  • Video duration max 30 seconds
  • Support downloading videos from YouTube, Bilibili, etc. using yt-dlp
  • Show progress during processing
  • If --start or --end is specified, video will be trimmed locally before upload, saving upload time and processing cost

Privacy and Security

API Key

This skill requires a verging.ai API Key. Get it from:

  1. Visit https://verging.ai
  2. Login → Click user avatar (top right) → Select "API Keys"
  3. Create a new API key

Security recommendations:

  • Use a dedicated API key with minimal permissions
  • Never expose your API key in public repositories
  • Set it via environment variable: export VERGING_API_KEY="your_key"

Data Handling

  • Video uploads: Videos are uploaded to verging.ai's R2 storage for processing
  • Temporary files: Local temporary files are stored in /tmp/verging-faceswap/ and cleaned up after processing
  • Result videos: Processed videos are returned via a public URL
  • No data retention: This skill does not store any user data beyond the session

Legal Notice

  • Only process media you have rights to
  • Be aware of local laws regarding deepfake technology
  • Use responsibly and ethically

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

78.31%
按下载量换算3,988

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。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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