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

Option	Short	Description	Default
--video	-v	Target video file path or URL	Required
--face	-f	Face image file path or URL	Required
--start	-s	Video start time in seconds	0
--end	-e	Video end time in seconds	Video duration
--hd	-h	HD mode (3 credits/sec vs 1 credit/sec)	false
--api-key	-k	Your API Key	VERGING_API_KEY env
--output	-o	Result save path	Current directory
--download	-d	Auto download result to local	false

Environment Variables

Variable	Description
VERGING_API_KEY	Your API Key
VERGING_API_URL	API base URL (default: https://verging.ai/api/v1)

API Endpoints

Endpoint	Method	Format	Purpose
/api/v1/auth/me	GET	-	Get user info (including credits)
/api/v1/upload-video	POST	Form Data	Get R2 presigned upload URL
/api/v1/faceswap/create-job	POST	Form Data	Create face swap job
/api/v1/faceswap/jobs	GET	-	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:

• yt-dlp-downloader-skill: For downloading remote videos (YouTube, Bilibili, etc.). Install first: clawhub install yt-dlp-downloader-skill
• 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, ensure yt-dlp-downloader-skill is installed
• 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.), use yt-dlp-downloader-skill to download
• If yt-dlp-downloader-skill is not installed, prompt user to install it first: clawhub install yt-dlp-downloader-skill
• 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

Mode	Credits/sec
Normal	1 credit/sec
HD	3 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-downloader-skill 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