Enterprise Flux: Image to Image Endpoint

Overview

The Image2Image API generates an image from an image. Pass the appropriate request parameters to the endpoint to generate image from an image.

This endpoint generates and returns an image from an image passed with its URL in the request.

caution

Make sure you add your s3 details for flux server, so you can receive image generated in your bucket. Images generated without s3 details being added will be delete after 24hours

Request

--request POST 'https://modelslab.com/api/v1/enterprise/flux/img2img' \

Make a POST request to https://modelslab.com/api/v1/enterprise/flux/img2img 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 to the Initial Image
width	Max Height: Width: 1024x1024
height	Max Height: Width: 1024x1024
samples	Number of images to be returned in response. The maximum value is 4.
safety_checker	A checker for NSFW images. If such an image is detected, it will be replaced by a blank image.
base64	Get response as base64 string, default: false, options: true or false
strength	Prompt strength when using init image. 1.0 corresponds to full destruction of information in the init image.
instant_response	queue response instantly before processing finishes instead of waiting a minimum amount of time default: false, options: true or false
seed	Seed is used to reproduce results, same seed will give you same image in return again. Pass null for a random number.
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": "",
    "prompt": "a cat sitting on a bench",
    "negative_prompt": "bad quality",
    "init_image": "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
    "width": "512",
    "height": "512",
    "samples": "1",
    "temp": false,
    "safety_checker": false,
    "strength":0.7,
    "seed": null,
    "webhook": null,
    "track_id": null

}

Request

JS

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

var raw = JSON.stringify({
    "key": "",
    "prompt": "a cat sitting on a bench",
    "negative_prompt": "bad quality",
    "init_image": "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
    "width": "512",
    "height": "512",
    "samples": "1",
    "temp": false,
    "safety_checker": false,
    "strength":0.7,
    "seed": null,
    "webhook": null,
    "track_id": null
});

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

fetch("https://modelslab.com/api/v1/enterprise/flux/img2img", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
     "key" =>  "",
    "prompt" => "a cat sitting on a bench",
    "negative_prompt" => "bad quality",
    "init_image" => "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
    "width" => "512",
    "height" => "512",
    "samples" => "1",
    "temp" => false,
    "safety_checker" => false,
    "strength" => 0.7,
    "seed" => null,
    "webhook" =>  null,
    "track_id" => null
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v1/enterprise/flux/img2img',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($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/flux/img2img',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "key": "",
    "prompt": "a cat sitting on a bench",
    "negative_prompt": "bad quality",
    "init_image": "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
    "width": "512",
    "height": "512",
    "samples": "1",
    "temp": false,
    "safety_checker": false,
    "strength":0.7,
    "seed": null,
    "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/flux/img2img"

payload = json.dumps({
   "key": "",
    "prompt": "a cat sitting on a bench",
    "negative_prompt": "bad quality",
    "init_image": "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
    "width": "512",
    "height": "512",
    "samples": "1",
    "temp": False,
    "safety_checker": False,
    "strength":0.7,
    "seed": None,
    "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, "{\n    \"key\": \"\",\n    \"prompt\": \"a cat sitting on a bench\",\n    \"negative_prompt\": \"bad quality\",\n    \"init_image\": \"https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png\",\n    \"width\": \"512\",\n    \"height\": \"512\",\n    \"samples\": \"1\",\n    \"temp\": false,\n    \"safety_checker\": false,\n    \"strength\":0.7,\n    \"seed\": null,\n    \"webhook\": null,\n    \"track_id\": null\n}");
Request request = new Request.Builder()
  .url("https://modelslab.com/api/v1/enterprise/flux/img2img")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .build();
Response response = client.newCall(request).execute();

Response

Example Response

{
    "status": "success",
    "warning": "",
    "id": null,
    "generationTime": 8.17,
    "output": [
        "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/2ac32c06-17a9-418d-b8f9-d76d32774585-0.png"
    ],
    "proxy_links": [
        "https://cdn2.stablediffusionapi.com/generations/2ac32c06-17a9-418d-b8f9-d76d32774585-0.png"
    ],
    "nsfw_content_detected": false,
    "webhook_status": "",
    "meta": {
        "base64": "no",
        "clip_skip": null,
        "file_prefix": "2ac32c06-17a9-418d-b8f9-d76d32774585",
        "guidance_scale": 3.5,
        "height": 512,
        "init_image": "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/data/inpainting_examples/overture-creations-5sI6fQgYIuo.png",
        "instant_response": "no",
        "model_id": "flux",
        "n_samples": 1,
        "negative_prompt": "bad quality",
        "num_inference_steps": 10,
        "opacity": 0.8,
        "padding_down": 10,
        "padding_right": 10,
        "prompt": "a cat sitting on a bench",
        "rescale": "yes",
        "safety_checker": "no",
        "safety_checker_type": "black",
        "scale_down": 6,
        "seed": 3851153854,
        "strength": 0.7,
        "temp": "no",
        "watermark": "no",
        "width": 512
    }
}