Enterprise: Relighting Endpoint

• outpainting
• blip_diffusion
• magic_mix
• removebg_createmask
• multiview
• fashion
• face_gen
• fetch
• head shot
• relighting
• clear cache
• restart server
• system details
• update server

Overview

This endpoint helps to create lighting around image

Request

--request POST 'https://modelslab.com/api/v1/enterprise/image_editing/relighting' \

Make a POST request to https://modelslab.com/api/v1/enterprise/image_editing/relighting endpoint and pass the required parameters as a request body to the endpoint.

Body Attributes

Parameter	Description
key	Your API Key used for request authorization
prompt	Text prompt with description of the things you want in the image to be generated
negative_prompt	Items you don't want in the image
init_image	Link or provide valid base64 data which follows the format data:image/jpeg;base64,{your_base64_string} to the image you want your generations to resemble.
width	Max Height: Width: 1024x1024
height	Max Height: Width: 1024x1024
lighting	How lightening should be place. Available data are none, left, right, top, bottom
guidance_scale	Optional. Scale for classifier-free guidance (minimum: 1; maximum: 20). Default is 7
highres_scale	high resolution scale. Defaults to 1.5
lowres_denoise	low resolution denoise. Defaults ot 0.9
highres_denoise	high resolution denoise defaults to 0.5
num_inference_steps	Number of denoising steps. Default: 20, Max: 50
base64	If provided image is in base64 format or if you want your generated images as a base64 string, must be set to true. Default: false.
seed	Seed is used to reproduce results, same seed will give you same image in return again. Pass null for a random number.
samples	Number of images to be returned in response. The maximum value is 2.
webhook	Set an URL to get a POST API call once the image generation is complete.
track_id	This ID is returned in the response to the webhook API call. This will be used to identify the webhook request.

Example

Body

Body

{
    "key":"",
    "init_image":"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png",
    "lighting": "right",
    "prompt": "woman, detailed, neon lighting",
    "height": 512,
    "width": 1024,
    "samples":1,
    "base64":false,
    "webhook": null,
    "track_id": null 
}

Request

JS

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
    "key":"",
    "init_image":"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png",
    "lighting": "right",
    "prompt": "woman, detailed, neon lighting",
    "height": 512,
    "width": 1024,
    "samples":1,
    "base64":false,
    "webhook": null,
    "track_id": null  
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://modelslab.com/api/v1/enterprise/image_editing/relighting", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
    "key":"",
    "init_image" =>"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png",
    "lighting" => "right",
    "prompt" => "woman, detailed, neon lighting",
    "height" => 512,
    "width" => 1024,
    "samples" => 1,
    "base64" => false,
    "webhook" => null,
    "track_id" => null 
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v1/enterprise/image_editing/relighting',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($payload),
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

NODE

var request = require('request');
var options = {
  'method': 'POST',
  'url': 'https://modelslab.com/api/v1/enterprise/image_editing/relighting',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
     "key":"",
    "init_image":"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png",
    "lighting": "right",
    "prompt": "woman, detailed, neon lighting",
    "height": 512,
    "width": 1024,
    "samples":1,
    "base64":false,
    "webhook": null,
    "track_id": null   
  })
};

request(options, function (error, response) {
  if (error) throw new Error(error);
  console.log(response.body);
});

PYTHON

import requests
import json

url = "https://modelslab.com/api/v1/enterprise/image_editing/relighting"

payload = json.dumps({
    "key":"",
    "init_image":"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png",
    "lighting": "right",
    "prompt": "woman, detailed, neon lighting",
    "height": 512,
    "width": 1024,
    "samples":1,
    "base64":False,  
    "webhook": None,
    "track_id": None 
})

headers = {
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

JAVA

  OkHttpClient client = new OkHttpClient().newBuilder()
    .build();
  MediaType mediaType = MediaType.parse("application/json");
  RequestBody body = RequestBody.create(mediaType, "{\r\n    \"key\":\"\",\r\n    \"init_image\":\"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png\",\r\n    \"lighting\": \"right\",\r\n    \"prompt\": \"woman, detailed, neon lighting\",\r\n    \"height\": 512,\r\n    \"width\": 1024,\r\n    \"samples\":1,\r\n    \"base64\":false\r\n\r\n}");
  Request request = new Request.Builder()
    .url("https://modelslab.com/api/v1/enterprise/image_editing/relighting")
    .method("POST", body)
    .addHeader("Content-Type", "application/json")
    .build();
  Response response = client.newCall(request).execute();

Response

Example Response

{
    "status": "success",
    "generationTime": 7.328356504440308,
    "id": 67,
    "output": [
        "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/f5a759d2-9af0-4965-8894-7e4433ee76e9-0.png"
    ],
    "proxy_links": [
        "https://cdn2.stablediffusionapi.com/generations/f5a759d2-9af0-4965-8894-7e4433ee76e9-0.png"
    ],
    "meta": {
        "base64": "no",
        "file_prefix": "f5a759d2-9af0-4965-8894-7e4433ee76e9",
        "guidance_scale": 7,
        "height": 512,
        "highres_denoise": 0.5,
        "highres_scale": 1.5,
        "init_image": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/e7d2dd6f-9482-40df-a910-89cc4de2e7b6-0.png",
        "lighting": "right",
        "lowres_denoise": 0.9,
        "negative_prompt": "low quality",
        "num_inference_steps": 20,
        "outdir": "out",
        "prompt": "woman, detailed, neon lighting",
        "samples": 1,
        "seed": -1,
        "temp": "no",
        "width": 1024
    }
}