Skip to main content
POST
/
image_editing
/
head_shot
Head shot generator
curl --request POST \
  --url https://modelslab.com/api/v6/image_editing/head_shot \
  --header 'Content-Type: application/json' \
  --data '
{
  "key": "<string>",
  "prompt": "<string>",
  "face_image": "<string>",
  "width": 123,
  "height": 123,
  "guidance_scale": 3,
  "s_scale": 1,
  "samples": 1,
  "safety_checker": true,
  "base64": false,
  "webhook": "<string>",
  "track_id": 123
}
'
import requests

url = "https://modelslab.com/api/v6/image_editing/head_shot"

payload = {
    "key": "<string>",
    "prompt": "<string>",
    "face_image": "<string>",
    "width": 123,
    "height": 123,
    "guidance_scale": 3,
    "s_scale": 1,
    "samples": 1,
    "safety_checker": True,
    "base64": False,
    "webhook": "<string>",
    "track_id": 123
}
headers = {"Content-Type": "application/json"}

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

print(response.text)
const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    key: '<string>',
    prompt: '<string>',
    face_image: '<string>',
    width: 123,
    height: 123,
    guidance_scale: 3,
    s_scale: 1,
    samples: 1,
    safety_checker: true,
    base64: false,
    webhook: '<string>',
    track_id: 123
  })
};

fetch('https://modelslab.com/api/v6/image_editing/head_shot', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://modelslab.com/api/v6/image_editing/head_shot",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'key' => '<string>',
    'prompt' => '<string>',
    'face_image' => '<string>',
    'width' => 123,
    'height' => 123,
    'guidance_scale' => 3,
    's_scale' => 1,
    'samples' => 1,
    'safety_checker' => true,
    'base64' => false,
    'webhook' => '<string>',
    'track_id' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://modelslab.com/api/v6/image_editing/head_shot"

	payload := strings.NewReader("{\n  \"key\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"face_image\": \"<string>\",\n  \"width\": 123,\n  \"height\": 123,\n  \"guidance_scale\": 3,\n  \"s_scale\": 1,\n  \"samples\": 1,\n  \"safety_checker\": true,\n  \"base64\": false,\n  \"webhook\": \"<string>\",\n  \"track_id\": 123\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://modelslab.com/api/v6/image_editing/head_shot")
  .header("Content-Type", "application/json")
  .body("{\n  \"key\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"face_image\": \"<string>\",\n  \"width\": 123,\n  \"height\": 123,\n  \"guidance_scale\": 3,\n  \"s_scale\": 1,\n  \"samples\": 1,\n  \"safety_checker\": true,\n  \"base64\": false,\n  \"webhook\": \"<string>\",\n  \"track_id\": 123\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://modelslab.com/api/v6/image_editing/head_shot")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"key\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"face_image\": \"<string>\",\n  \"width\": 123,\n  \"height\": 123,\n  \"guidance_scale\": 3,\n  \"s_scale\": 1,\n  \"samples\": 1,\n  \"safety_checker\": true,\n  \"base64\": false,\n  \"webhook\": \"<string>\",\n  \"track_id\": 123\n}"

response = http.request(request)
puts response.read_body
{
  "status": "success",
  "generationTime": 123,
  "id": 123,
  "output": [
    "<string>"
  ],
  "proxy_links": [
    "<string>"
  ],
  "meta": {}
}
Image url generated will not be accessible after 24 hours, kindly save your image generations accordingly

Head Shot

Head-Shot endpoint result

Request

Make a POST request to below endpoint and pass the required parameters as a request body to the endpoint.
curl
--request POST 'https://modelslab.com/api/v6/image_editing/head_shot' \

Body

json
{  
  "key": "your_api_key",  
  "prompt": "pretty woman",  
  "negative_prompt": "anime, cartoon, drawing, big nose, long nose, fat, ugly, big lips, big mouth, face proportion mismatch, unrealistic, monochrome, lowres, bad anatomy, worst quality, low quality, blurry",  
  "face_image":"https://assets.modelslab.ai/generations/568d6320-8b6c-4af8-8725-51c0c9f633a3",  
  "width": "512",  
  "height": "512",  
  "samples": "1",  
  "num_inference_steps": "21",  
  "safety_checker": false,  
  "base64": false, 
  "seed": null,  
  "guidance_scale": 7.5,  
  "webhook": null,  
  "track_id": null
}

Body

application/json
key
string
required

Your API Key used for request authorization

prompt
string
required

Text prompt describing the content you want in the generated image

face_image
string
required

Link or valid base64 data of the face you want your generations to resemble

width
integer

Width of your generated image, If not provide width of face_image is used

Required range: x <= 512
height
integer

Height of your generated image, If not provide height of face_image is used

Required range: x <= 768
num_inference_steps
enum<integer>

Number of denoising steps

Available options:
21,
31,
41
guidance_scale
integer

Scale for classifier-free guidance

Required range: 1 <= x <= 5
s_scale
number
default:1

Adjust the weight of the face structure

Required range: 0 <= x <= 2
samples
integer

The number of images to be returned in response

Required range: x <= 2
safety_checker
boolean

Whether to run the safety checker

safety_checker_type
enum<string>
Available options:
black,
blur,
sensitive_content_text,
pixelate
base64
boolean
default:false

Set to true for base64 response

webhook
string<uri>

URL to receive POST API call when complete

track_id
integer

ID for webhook identification

Response

200 - application/json

Head shot response

status
enum<string>
Available options:
success
generationTime
number

Time taken to generate the image in seconds

id
integer

Unique identifier for the generation request

output
string<uri>[]

Array of generated image URLs

Array of proxy image URLs

meta
object

Metadata about the generation process