Image Face Swap API Documentation
Playground
Try it on WaveSpeedAI!Free swap faces in any photo instantly — realistic blending, no watermark, no sign up. Upload a base image and reference face to get started now.
Features
Face Swap is an advanced AI-powered face replacement model that enables realistic, seamless, and watermark-free face swaps in static images. By combining powerful face recognition, alignment, and blending algorithms, it ensures lifelike results while preserving lighting, pose, and expression fidelity.
⚙️ Why it looks so cool
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Instant Face Swapping Upload a base image and a reference face — the model replaces the original face with the target identity while maintaining natural contours and lighting.
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Realistic Blending Automatically adapts skin tone, lighting direction, and expression for ultra-smooth integration.
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Expression & Pose Preservation The source image’s emotion, head tilt, and gaze direction are retained for believable results.
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Watermark-Free Results Every generation is clean, production-ready, and suitable for both fun edits and professional use.
🧠 How to use
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Input:
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image→ The base photo to edit -
face_image→ The reference face to swap in -
target_index→ (optional) Which face to swap when multiple faces exist; 0 = largest face. Default: 0 -
target_gender→ (optional) Only swap faces matching this gender:all,male, orfemale. Default:all -
Output: JPEG / PNG / WEBP image with replaced face
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AI Engine: WaveSpeedAI Face Identity Alignment & Lighting Consistency Module
💰 Pricing
| Operation | Price (USD) |
|---|---|
| Face Swap (per image) | $0.010 |
💡 Best Use Cases
- Social Media & Entertainment — Fun, shareable, and creative swaps in portraits and group photos.
- Film & Advertising — Quick mockups for casting, storyboarding, and concept design.
- Photography & Visual Design — Replace faces for privacy, retouching, or creative effects.
- Virtual Production — Generate realistic composites for narrative or promotional visuals.
📝 Notes
- For best results, use clear, front-facing portraits with consistent lighting between both faces.
- Avoid overly complex or low-resolution images — clarity improves blending accuracy.
- Ensure you have permission to use all uploaded images and likenesses.
- If you are working with anime or illustrated characters, the output quality may be significantly lower due to visual style differences.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"face_image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"target_index": 0,
"target_gender": "all",
"output_format": "jpeg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/image-face-swap" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image that contains the face to be replaced. | |
| face_image | string | Yes | - | - | The face image as reference. |
| target_index | integer | No | 0 | 0 ~ 10 | 0 = largest face. To switch to another target face - switch to index 1, e.t.c. |
| target_gender | string | No | all | all, male, female | Only swap target faces matching this gender. 'all' swaps regardless of gender. |
| output_format | string | No | jpeg | jpeg, png, webp | The format of the output image. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
| enable_sync_mode | boolean | No | false | - | If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |