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Akool Image Face Swap

Akool Image Face Swap

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Akool Image Face Swap swaps faces in photos using a source and target image, including multi-face replacement for group photos. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Akool Image Face Swap

Akool Image Face Swap is a powerful AI-powered face swapping model that seamlessly replaces faces in images with remarkable precision and realism. Swap single or multiple faces in one image while preserving natural lighting, skin tone, and facial expressions.


Why It Stands Out

  • Multi-face swapping: Swap multiple faces in a single image simultaneously.
  • High-quality blending: Seamlessly integrates swapped faces with natural lighting and skin tone matching.
  • Face enhancement: Optional post-swap face quality enhancement for sharper, cleaner results.
  • Flexible input: Upload multiple source and target face images for precise control.
  • One-click operation: Simple workflow — upload images and get results instantly.

Parameters

ParameterRequiredDescription
imageYesThe main image where faces will be swapped.
source_imageYesFace(s) to use as replacement (can add multiple).
target_imageYesFace(s) in the main image to be replaced (can add multiple).
face_enhanceNoEnhance face quality after swapping (default: enabled).
enable_base64_outputNoReturn base64 string instead of URL (API only).

How to Use

  1. Upload the main image — the image where you want to swap faces.
  2. Add source image(s) — upload the face(s) you want to use as replacements.
  3. Add target image(s) — upload reference images of the face(s) to be replaced in the main image.
  4. Enable face enhance (recommended) — improves output quality.
  5. Click Run and wait for processing.
  6. Preview and download the result.

Best Use Cases

  • Creative Projects — Create fun, artistic face swaps for personal projects.
  • Content Creation — Generate engaging content for social media and entertainment.
  • Marketing & Advertising — Visualize models or personas in different scenarios.
  • Film & Video Production — Create concept images for pre-visualization.
  • E-commerce — Show products on different face types for diverse representation.

Pricing

OutputPrice
Per image$0.16

Pro Tips for Best Quality

  • Use high-resolution, well-lit face images for both source and target.
  • Ensure faces are clearly visible and not obscured by accessories or hair.
  • For best matching, use source faces with similar angles to the target faces.
  • Keep face_enhance enabled for sharper, more natural-looking results.
  • When swapping multiple faces, match source and target images in the same order.

Notes

  • Ensure uploaded image URLs are publicly accessible.
  • Processing time varies based on the number of faces and current queue load.
  • Please use responsibly and ensure your content complies with usage guidelines.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/akool/image-face-swap" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "face_enhance": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-Image URL to be swapped
source_imagearrayYes-1 ~ 5 itemsSource face image URL to be swapped into the video
target_imagearrayYes-1 ~ 5 itemsTarget face image URL that will be replaced in the video
face_enhancebooleanNofalse-Whether to enhance face quality after swapping
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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