1const axios = require('axios');
4const api_key = "YOUR API-KEY";
5const url = "";
7const data = {
8  "prompt": "A red vintage car on the streets of New York, front view, car in the center of the road, hyper quality, intricate detail, masterpiece, photorealistic, ultra realistic, maximum detail, foreground focus, instagram, 8k, volumetric light, cinematic, octane render, uplight, no blur, 8k",
9  "negative_prompt": "((Semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4)), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate",
10  "scheduler": "dpmpp_2m",
11  "num_inference_steps": 30,
12  "guidance_scale": 10,
13  "samples": 1,
14  "seed": 61150574526948,
15  "img_width": 512,
16  "img_height": 768,
17  "base64": false
20(async function() {
21    try {
22        const response = await, data, { headers: { 'x-api-key': api_key } });
23        console.log(;
24    } catch (error) {
25        console.error('Error:',;
26    }
HTTP Response Codes
200 - OKImage Generated
401 - UnauthorizedUser authentication failed
404 - Not FoundThe requested URL does not exist
405 - Method Not AllowedThe requested HTTP method is not allowed
406 - Not AcceptableNot enough credits
500 - Server ErrorServer had some issue with processing


promptstr *

Prompt to render

negative_promptstr ( default: None )

Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'

schedulerenum:str ( default: UniPC )

Type of scheduler.

Allowed values:

num_inference_stepsint ( default: 20 ) Affects Pricing

Number of denoising steps.

min : 20,

min : 100

guidance_scalefloat ( default: 7.5 )

Scale for classifier-free guidance

min : 0.1,

min : 25

samplesint ( default: 1 ) Affects Pricing

Number of samples to generate.

min : 1,

min : 4

seedint ( default: -1 )

Seed for image generation.

img_widthenum:int ( default: 512 ) Affects Pricing

Width of the image.

Allowed values:

img_heightenum:int ( default: 512 ) Affects Pricing

Height of the Image

Allowed values:

base64boolean ( default: 1 )

Base64 encoding of the output image.

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.


ICBINP is short for "I can't believe it's not photography"engineered on Stable Diffusion 1.5, that prioritizes hyper-realism. It pushes the boundaries of digital imagery, crafting portraits so lifelike that they challenge the discerning eye. With its prowess in capturing the intricate details of hair, skin, and eyes, and its enhanced capability for night and dark imagery.

Use Cases

  1. Digital Photography: Ideal for professionals and enthusiasts looking to create lifelike portraits without the need for a camera.

  2. Film and Animation: Filmmakers and animators can harness ICBINP for character design and scene creation, ensuring photorealistic outputs.

  3. Advertising and Marketing: Marketers can create compelling visuals for campaigns, ensuring high audience engagement with lifelike images.

  4. Art and Design: Artists can craft detailed portraits, enhancing their artworks with hyper-realistic human features.