Input
   
POST https://gateway.appypie.com/sdxl/getImageTurbo/v1/SDXL_Turbo_TextImage HTTP/1.1

Content-Type: application/json
Cache-Control: no-cache

{
    "prompt": "Generate a detailed futuristic cityscape at sunset with towering skyscrapers, flying vehicles, and vibrant orange and purple skies. Blend modern architecture with natural elements like parks and flowing water, capturing a tranquil yet innovative atmosphere.",
    "negative_prompt": "Exclude low-quality, blurry, or pixelated details. Avoid dull colors, overly simplistic architecture, empty streets, or outdated technology. Omit any chaotic or disorganized elements, dark or gloomy tones, and unnatural lighting.",

    "height": 768,
    "width": 768,
    "num_inference_steps": 20,
    "guidance_scale": 5,
    "seed": 20
}
import urllib.request, json

try:
    url = "https://gateway.appypie.com/sdxl/getImageTurbo/v1/SDXL_Turbo_TextImage"

    hdr ={
    # Request headers
    'Content-Type': 'application/json',
    'Cache-Control': 'no-cache',
    }

    # Request body
    data =  
    data = json.dumps(data)
    req = urllib.request.Request(url, headers=hdr, data = bytes(data.encode("utf-8")))

    req.get_method = lambda: 'POST'
    response = urllib.request.urlopen(req)
    print(response.getcode())
    print(response.read())
    except Exception as e:
    print(e)
// Request body
const body = {
    "prompt": "Generate a detailed futuristic cityscape at sunset with towering skyscrapers, flying vehicles, and vibrant orange and purple skies. Blend modern architecture with natural elements like parks and flowing water, capturing a tranquil yet innovative atmosphere.",
    "negative_prompt": "Exclude low-quality, blurry, or pixelated details. Avoid dull colors, overly simplistic architecture, empty streets, or outdated technology. Omit any chaotic or disorganized elements, dark or gloomy tones, and unnatural lighting.",

    "height": 768,
    "width": 768,
    "num_inference_steps": 20,
    "guidance_scale": 5,
    "seed": 20
}
;

fetch('https://gateway.appypie.com/sdxl/getImageTurbo/v1/SDXL_Turbo_TextImage', {
        method: 'POST',
        body: JSON.stringify(body),
        // Request headers
        headers: {
            'Content-Type': 'application/json',
            'Cache-Control': 'no-cache',}
    })
    .then(response => {
        console.log(response.status);
        console.log(response.text());
    })
    .catch(err => console.error(err));
curl -v -X POST "https://gateway.appypie.com/sdxl/getImageTurbo/v1/SDXL_Turbo_TextImage" -H "Content-Type: application/json" -H "Cache-Control: no-cache" --data-raw "{
    \"prompt\": \"Generate a detailed futuristic cityscape at sunset with towering skyscrapers, flying vehicles, and vibrant orange and purple skies. Blend modern architecture with natural elements like parks and flowing water, capturing a tranquil yet innovative atmosphere.\",
    \"negative_prompt\": \"Exclude low-quality, blurry, or pixelated details. Avoid dull colors, overly simplistic architecture, empty streets, or outdated technology. Omit any chaotic or disorganized elements, dark or gloomy tones, and unnatural lighting.\",
    \"height\": 768,
    \"width\": 768,
    \"num_inference_steps\": 20,
    \"guidance_scale\": 5,
    \"seed\": 20
}"
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLEncoder;
import java.util.HashMap;
import java.util.Map;
import java.io.UnsupportedEncodingException;
import java.io.DataInputStream;
import java.io.InputStream;
import java.io.FileInputStream;

public class HelloWorld {

  public static void main(String[] args) {
    try {
        String urlString = "https://gateway.appypie.com/sdxl/getImageTurbo/v1/SDXL_Turbo_TextImage";
        URL url = new URL(urlString);
        HttpURLConnection connection = (HttpURLConnection) url.openConnection();

        //Request headers
    connection.setRequestProperty("Content-Type", "application/json");
    
    connection.setRequestProperty("Cache-Control", "no-cache");
    
        connection.setRequestMethod("POST");

        // Request body
        connection.setDoOutput(true);
        connection
            .getOutputStream()
            .write(
             "{ \"prompt\": \"Generate a detailed futuristic cityscape at sunset with towering skyscrapers, flying vehicles, and vibrant orange and purple skies. Blend modern architecture with natural elements like parks and flowing water, capturing a tranquil yet innovative atmosphere.\", \"negative_prompt\": \"Exclude low-quality, blurry, or pixelated details. Avoid dull colors, overly simplistic architecture, empty streets, or outdated technology. Omit any chaotic or disorganized elements, dark or gloomy tones, and unnatural lighting.\", \"height\": 768, \"width\": 768, \"num_inference_steps\": 20, \"guidance_scale\": 5, \"seed\": 20 }".getBytes()
             );
    
        int status = connection.getResponseCode();
        System.out.println(status);

        BufferedReader in = new BufferedReader(
            new InputStreamReader(connection.getInputStream())
        );
        String inputLine;
        StringBuffer content = new StringBuffer();
        while ((inputLine = in.readLine()) != null) {
            content.append(inputLine);
        }
        in.close();
        System.out.println(content);

        connection.disconnect();
    } catch (Exception ex) {
      System.out.print("exception:" + ex.getMessage());
    }
  }
}
$url = "https://gateway.appypie.com/sdxl/getImageTurbo/v1/SDXL_Turbo_TextImage";
$curl = curl_init($url);

curl_setopt($curl, CURLOPT_CUSTOMREQUEST, "POST");
curl_setopt($curl, CURLOPT_URL, $url);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);

# Request headers
$headers = array(
    'Content-Type: application/json',
    'Cache-Control: no-cache',);
curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);

# Request body
$request_body = '{
    "prompt": "Generate a detailed futuristic cityscape at sunset with towering skyscrapers, flying vehicles, and vibrant orange and purple skies. Blend modern architecture with natural elements like parks and flowing water, capturing a tranquil yet innovative atmosphere.",
    "negative_prompt": "Exclude low-quality, blurry, or pixelated details. Avoid dull colors, overly simplistic architecture, empty streets, or outdated technology. Omit any chaotic or disorganized elements, dark or gloomy tones, and unnatural lighting.",

    "height": 768,
    "width": 768,
    "num_inference_steps": 20,
    "guidance_scale": 5,
    "seed": 20
}
';
curl_setopt($curl, CURLOPT_POSTFIELDS, $request_body);

$resp = curl_exec($curl);
curl_close($curl);
var_dump($resp);
Output
SDXL turbo API

SDXL Turbo: A Speed-optimized Text-to-image Model

meta

SDXL Turbo is a state-of-the-art, speed-optimized text-to-image model that generates high-quality images with remarkable efficiency and speed. Stable diffusion turbo is based on a novel training method called Adversarial Diffusion Distillation (ADD). This innovative approach combines adversarial training with diffusion processes to enhance the model’s ability to generate high-quality images efficiently. It's particularly well-suited for applications where time is of the essence, such as real-time content creation, interactive media, and on-demand design tasks. Whether you're developing prototypes, crafting visual content, or enhancing user experiences, SDXL Turbo provides a powerful tool to meet the demands of today's fast-paced digital landscape.

You can leverage stable diffusion turbo with the API to integrate its advanced text-to-image capabilities into your applications seamlessly. By using the SDXL-Turbo API, you gain access to its fast and high-quality image generation features, allowing for the rapid creation of stunning visuals with minimal effort. This integration enables developers to enhance their projects with cutting-edge technology, fostering innovation in interactive media, real-time content creation, and design prototyping. The API’s efficient performance and accuracy make it a powerful tool for unlocking new creative possibilities and improving user experiences across various platforms.

How to Generate Images using SDXL Turbo API

The SDXL Turbo API enables fast and high-quality image generation using advanced AI technology. Follow these steps to generate images with precision:

generate_01

Get API Access

To begin, ensure you have access to the SDXL Turbo API. You'll need to obtain an API key for authentication, which is essential for using features such as generating high-resolution images.

generate_02

Set Up Environment and Configure Parameters

Choose your preferred programming language, such as Python or JavaScript, and set up your environment to handle HTTP requests. Adjust the API parameters to fine-tune the image generation. Common parameters include prompt, n-prompt, num_steps, guidance_scale, seed, and size, allowing you to customize the output according to your needs.

generate_03

Send the API Request

Using your chosen programming language, create an HTTP request to the specified SDXL Turbo API endpoint. Include the prompt and any additional parameters in the request.

generate_04

Receive and Process the Response

Upon successful execution, the API will return the generated image(s) or a URL pointing to the image. You can then download or save the images based on your requirements.

Uses Case of Stable Diffusion Turbo API

Need rapid, high-quality image generation at scale? The SDXL Turbo API delivers powerful results in seconds, perfect for transforming your creative workflow. The following are its key use cases:

cases_1

High-Resolution Image Generation

The SD Turbo API enables the creation of high-quality, detailed images, making it ideal for digital art, graphic design, and professional marketing materials. Its advanced capabilities ensure crisp visuals, perfect for applications requiring superior image resolution and fidelity, such as print media and visual content platforms.

cases_2

Custom Avatar and Character Design

Create unique avatars or characters with SDXL Turbo API for games, virtual reality experiences, or personalized applications. By providing creative freedom and customization options, this tool is perfect for developers and designers looking to generate distinctive, tailor-made characters for immersive digital environments.

cases_3

Graphic Design Automation

Automate the generation of graphic designs such as posters, logos, and banners with the SDXL Turbo API. Its versatile parameters allow designers to save time and effort while maintaining creative control, making it an essential tool for those seeking to enhance workflow efficiency in graphic design projects.

cases_4

Storytelling & Creative Writing Visualization

Writers and content creators can bring their stories to life by visualizing scenes or characters through the SDXL Turbo API. By entering descriptive prompts, they can generate imagery that complements their narratives, adding a powerful visual dimension to their storytelling and creative writing projects.

cases_5

Prototyping and Concept Art

The SDXL Turbo API allows for the rapid generation of visual prototypes and concept art for product design, architecture, or fashion. This ai image generator API accelerates the creative process by providing quick visual representations that help designers and stakeholders visualize ideas early in development.

cases_6

Interactive Applications & Games

Integrate Stable Diffusion Turbo API into interactive applications and games to allow users to generate custom images based on real-time inputs. This adds a dynamic layer of creativity and personalization to user experiences, perfect for gaming, art platforms, or other interactive environments.

Top Trending Generative AI APIs

 

Maximize the potential of your projects with our Generative AI APIs. From video generation & image creation to text generation, animation, 3D modeling, prompt generation, image restoration, and code generation, our advanced APIs cover all aspects of generative AI to meet your needs.