API For Multiple Face Swap

June 18, 2024About 2 min

API For Multiple Face Swap

Considerations

Before using the API, make sure you have obtained the API key. Refer to the link below for instructions on how to obtain it. API For API Key Settings
All generated images will be automatically deleted after 24 hours. Please make sure to save the images you need to your local storage in a timely manner.
Detect Job
Swap Job

Header Attributes

Parameter	Description
Authorization	Your API Key used for request authorization.

Using Tutorials

Step 1: Detect Faces in the Image

Call the create-detect API to Obtain Face Coordinates in the Image

First, use the create-detect API to detect faces in the image and obtain their coordinates.

import requests

url = 'https://developer.remaker.ai/api/remaker/v1/face-detect/create-detect'
headers = {
    'accept': 'application/json',
    'Authorization': 'your api-key',
}

files = {
    'target_image': open('demo1.jpg', 'rb')
}

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

{
  "code": 100000,
  "result": {
    "job_id": "8cfe5bac-3208-4384-83c2-4fa46f2ce22a"
  },
  "message": {
    "en": "Request Success."
  }
}

Then, call the query task interface to check the task status. When the task is completed, you will receive the following result:

import requests

url = 'https://developer.remaker.ai/api/remaker/v1/face-detect/face-detect/a4274b95-31d0-4cca-8a84-8c328f6b4ace'

headers = {
    'accept': 'application/json',
    'Authorization': 'your token',
}

response = requests.get(url, headers=headers)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"error: {response.status_code}")

{
  "code": 100000,
  "result": {
    "output_image_url": [
      [
        [
          192.2239532470703,
          124.05651092529297,
          307.34918212890625,
          292.75439453125
        ],
        [
          276.0821228027344,
          264.65228271484375,
          380.96917724609375,
          397.80316162109375
        ]
      ]
    ],
    "input_image_url": [
      "https://image.remaker.ai/datarm/api/face-detect/2024-07-29/input/8cfe5bac-3208-4384-83c2-4fa46f2ce22a_original_.png"
    ],
    "job_id": "8cfe5bac-3208-4384-83c2-4fa46f2ce22a",
    "message": ""
  },
  "message": {
    "en": "Image generated successfully."
  }
}

Step 2: Cut faces based on coordinates

Determine the location of the face in the image based on the coordinates returned in the first step

Utilize the face coordinates returned in Step 1 to determine the positions of each face in the image.

Step 3: Replace Faces

Replace Faces in the Image, and package the Replaced Faces into a ZIP File

Replace the faces in the image as needed, following the sequence determined in Step 2,，If you do not want to replace the face, please upload the original face.
Package the replaced face images into a ZIP file for further processing and transmission.

Step 4: Swap Faces

Call the create-swap API to Perform Face Swapping

Use the create-swap API to perform the face swapping operation on the replaced images.

import requests

url = 'https://developer.remaker.ai/api/remaker/v1/face-detect/create-swap'
headers = {
    'accept': 'application/json',
    'Authorization': 'your api-key',
}

files = {
    'target_image': open('demo1.jpg', 'rb') # Face to be replaced（binary ） 
    'model_face': open('demo1.zip', 'rb') # Your Face（zip binary ） 
}

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

{
  "code": 100000,
  "result": {
    "job_id": "c2091af8-63a8-4e45-95b2-28291e971877"
  },
  "message": {
    "en": "Request Success."
  }
}

Then call the query task interface to check the status of the task. When the task is completed, you will receive the following result:

import requests

url = 'https://developer.remaker.ai/api/remaker/v1/face-detect/face-detect/a4274b95-31d0-4cca-8a84-8c328f6b4ace'

headers = {
    'accept': 'application/json',
    'Authorization': 'your token',
}

response = requests.get(url, headers=headers)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"error: {response.status_code}")

{
  "code": 100000,
  "result": {
    "output_image_url": [
      "https://image.remaker.ai/datarm/api/face-detect/2024-07-29/output/tmp3mokr1zz.png"
    ],
    "input_image_url": [
      "https://image.remaker.ai/datarm/api/face-detect/2024-07-29/input/c2091af8-63a8-4e45-95b2-28291e971877_original_.png"
    ],
    "job_id": "c2091af8-63a8-4e45-95b2-28291e971877",
    "message": ""
  },
  "message": {
    "en": "Image generated successfully."
  }
}