1const axios = require('axios');
4const api_key = "YOUR API-KEY";
5const url = "";
7const data = {
8  "prompt": "RAW commercial photo the pretty instagram fashion model, ((smiling)), in the red sweater, yellow cap posing in new york city, in the style of colorful geometrics, guy aroch, helene knoop, glowing pastels, bold lines, bright colors, sun-soaked colours, Fujifilm X-T4, Sony",
9  "negative_prompt": "airbrushed,3d, render, painting, anime, manga, illustration, (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation,bige yes, teeth,nose piercing,(((extra arms)))cartoon,young,child, nsfw ",
10  "scheduler": "dpmpp_sde_ancestral",
11  "num_inference_steps": 25,
12  "guidance_scale": 9,
13  "samples": 1,
14  "seed": 104521676572,
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.

Edge of Realism

Edge of Realism is a cutting-edge model designed to produce high-quality, photorealistic images. This model is built on the Stable Diffusion 1.5 framework and is designed to push the boundaries of what's possible in image generation. It's called "Edge of Realism" for a reason - the images it produces are so lifelike and vivid, they teeter on the edge of reality. While it excels in creating vibrant, photorealistic images, it's particularly adept at processing other images in img2img format.

The Realistic Vision model operates on a stable diffusion framework and uses SD 1.5 as it's base model. Suggested schedulers are Euler A and DPM++ SDE Karras. It works best when you combine it with an upscaler like ESRGAN.

It's capable of generating images that are not just realistic, but also uncanny in their level of detail. The model's strength lies in its ability to produce vivid colors while still maintaining a photorealistic output. However, it's not just about the quality of the images - it's also about the diversity. The model can struggle with generating non-portrait/closeups in txt2img, but it shines when it comes to creating a wide variety of different images, making it a versatile tool for any creative project.

Edge of Realism use cases

  1. Digital Art Creation: With its ability to create realistic portraits, it's an excellent tool for digital artists looking to bring their visions to life.

  2. Video Game and Animation Character Generation: The model's capacity for generating diverse characters makes it perfect for creating unique, lifelike characters for video games or animations.

  3. Social Media and Virtual Reality Avatars: Use the model to produce unique avatars for your social media profiles or virtual reality platforms.

  4. Fictional Character Design: If you're a writer or graphic novelist, you can use the model to design and visualize your characters.

  5. Fashion Design Visualization: For fashion designers, the model provides a tool to visualize different styles and outfits on various models, helping to bring your designs to life before they're even made.

Edge of Realism license

The license for the Edge of Realism model, known as the "CreativeML Open RAIL-M" license, is designed to promote both open and responsible use of the model. You may add your own copyright statement to your modifications and provide additional or different license terms for your modifications. You are accountable for the output you generate using the model, and no use of the output can contravene any provision as stated in the license.