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This document will introduce a Face Gender Transformation API integration guide, which allows users to upload a face image and, based on face editing and generation algorithms, output an image with transformed gender. Male to female transformation can achieve effects such as beautification, light makeup, bangs, and long hair; female to male transformation can achieve effects such as adding a beard and short hair.

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Application Process

To use the API, you need to first apply for the corresponding service on the Face Gender Transformation API page. After entering the page, click the “Acquire” button, as shown in the image below: If you are not logged in or registered, you will be automatically redirected to the login page inviting you to register and log in. After logging in or registering, you will automatically return to the current page. Upon the first application, there will be a free quota provided, allowing you to use the API for free.

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Basic Usage

First, understand the basic usage method, which is to input the image link and gender information to obtain the processed result image. You need to simply pass an image_url field, and the face image is shown below:

Next, we also need to upload the face gender information parameter gender_infos, which is an array, allowing us to pass multiple pieces of information. We can then fill in the corresponding content on the interface, as shown in the image below:

Here we can see that we have set the Request Headers, including:
  • accept: the format of the response result you want to receive, filled in as application/json, which means JSON format.
  • authorization: the key to call the API, which can be directly selected after application.
Additionally, we set the Request Body, including:
  • image_url: the link to the face image that needs to be processed.
  • gender_infos: information about face gender and region, where gender is a required parameter, with 0 indicating male to female transformation and 1 indicating female to male transformation.
After selection, you can see that the corresponding code is also generated on the right side, as shown in the image below:

Click the “Try” button to conduct a test, as shown in the image above, and we obtained the following result: 
{
  "image_url": "https://faceeffect-1254418846.cos.ap-guangzhou.myqcloud.com/ft/SwapGenderPic/1256437459/1d85ceb9-6847-41ec-a9fd-7a20ddbd13b6"
}
As you can see, the returned result contains an image_url field, which is the face image after transformation based on the input gender change parameters. The transformed face information is shown below:

You can see that the face in the image has changed according to the input gender. Additionally, if you want to generate the corresponding integration code, you can directly copy it, for example, the CURL code is as follows: 
curl -X POST 'https://api.acedata.cloud/face/change-gender' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
  "image_url": "https://cdn.acedata.cloud/lrbtcn.jpg",
  "gender_infos": [{"gender":1}]
}'
The integration code in Python is as follows: 
import requests

url = "https://api.acedata.cloud/face/change-gender"

headers = {
    "accept": "application/json",
    "authorization": "Bearer {token}",
    "content-type": "application/json"
}

payload = {
    "image_url": "https://cdn.acedata.cloud/lrbtcn.jpg",
    "gender_infos": [{"gender":1}]
}

response = requests.post(url, json=payload, headers=headers)
print(response.text)

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Error Handling

When calling the API, if an error occurs, the API will return the corresponding error code and message. For example:
  • 400 token_mismatched: Bad request, possibly due to missing or invalid parameters.
  • 400 api_not_implemented: Bad request, possibly due to missing or invalid parameters.
  • 401 invalid_token: Unauthorized, invalid or missing authorization token.
  • 429 too_many_requests: Too many requests, you have exceeded the rate limit.
  • 500 api_error: Internal server error, something went wrong on the server.

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Error Response Example

{
  "success": false,
  "error": {
    "code": "api_error",
    "message": "fetch failed"
  },
  "trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}

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Conclusion

Through this document, you have learned how to use the Face Gender Transformation API to transform a face image uploaded by the user based on face editing and generation algorithms. We hope this document helps you better integrate and use the API. If you have any questions, please feel free to contact our technical support team.