metadata
license: mit
Faceswap API
Model Page: Faceswap API
This model card illustartes the steps to use Faceswap API's endpoint. You can also check out other model cards:
Model Information
The FaceSwap API, built on a custom AI model, allows developers to effortlessly integrate advanced face-swapping capabilities to their platforms, offering users the ability to rapidly personalize images of their choice.
Usage Steps
Below we share the code snippets on how to use the Faceswap API's endpoint.
- The programming language is Python
- Have 2 images (Each image must only contain one visible face)
Create a task ID from the Faceswap endpoint
import http.client
conn = http.client.HTTPSConnection("api.piapi.ai")
payload = "{\n \"target_image\": \"image1.png\",\n \"swap_image\": \"image2.png\",\n \"result_type\": \"url\"\n}"
headers = {
'X-API-Key': "{{x-api-key}}", //Insert your API Key here
'Content-Type': "application/json",
'Accept': "application/json"
}
conn.request("POST", "/api/face_swap/v1/async", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
Retrieve the task ID
{
"code": 200,
"data": {
"task_id": "7a7ba527************1974d4316e22" //Record the taskID provided in your response terminal
},
"message": "success"
}
Insert the Faceswap task ID into the fetch endpoint
import http.client
conn = http.client.HTTPSConnection("api.piapi.ai")
payload = "{\n \"task_id\": \"7a7ba527************1974d4316e22\"\n}" //Replace the task ID with your task ID
headers = {
'X-API-Key': "{{x-api-key}}", //Insert your API Key here
'Content-Type': "application/json",
'Accept': "application/json"
}
conn.request("POST", "/api/face_swap/v1/fetch", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
For fetch endpoint responses - Refer to our documentation for more detailed information.
Contact us
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