1const axios = require('axios');
4const api_key = "YOUR API-KEY";
5const url = "";
7const data = {
8  "prompt": "(best-quality:0.8), (best-quality:0.8), perfect anime illustration of a Celestial Morbid Gaelic [Doghouse:Toyota:5] with a face, detailed with Cloth patterns, inside a Worn-Out Bar, Summer, equirectangular 360, Masterpiece, Sad, Surrealism Art, backlight, telephoto lens, Kodak portra, Lavender background, full of color, trending on artstation, trending on CGSociety",
9  "negative_prompt": "(worst quality:0.8), verybadimagenegative_v1.3 easynegative, (surreal:0.8), (modernism:0.8), (art deco:0.8), (art nouveau:0.8)",
10  "scheduler": "dpmpp_2m",
11  "num_inference_steps": 20,
12  "guidance_scale": 7,
13  "samples": 1,
14  "seed": 80952715457,
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.

Flat 2D

The Flat-2D model is the result of merging select anime-based and cartoon-based models. This fusion ensures a balanced output that aligns closely with classic anime styles. For those seeking enhanced clarity, upscaling the generated images using ESRGAN proves to be highly effective, adding an extra layer of finesse to the visuals.


  1. Unique Anime-Cartoon Fusion: Flat-2D stands out with its distinctive cartoony anime style, offering a fresh perspective in the world of digital art.

  2. Authentic Anime Aesthetics: The model prioritizes traditional anime visuals over hyper-detailed representations, ensuring genuine anime feel.

  3. User-Centric Design: Tailored for anime and cartoon enthusiasts, the model provides an intuitive platform for generating desired visuals.

Use Cases

  1. Anime Art Creation: Artists can craft visuals that align closely with classic anime styles, perfect for various platforms.

  2. Animation Projects: Animators can utilize Flat-2D for creating scenes and characters that resonate with traditional anime aesthetics.

  3. Merchandise Design: Businesses can design merchandise, from T-shirts to posters, infused with the unique cartoony anime style.

  4. Educational Platforms: Students of animation and design can explore the nuances of anime and cartoon fusion, enhancing their learning experience.

  5. Content Creation: Content creators can produce engaging visuals for their audience, tapping into the popular anime-cartoon blend.