1const axios = require('axios');
4const api_key = "YOUR API-KEY";
5const url = "";
7const data = {
8  "prompt": "(8k, best quality, masterpiece:1.2), (finely detailed),kuririn,  1boy,solo,cowboy shot, (bald:1.3), dwarf,(lime green long wizard robes:1.5), smile,open mouth, outdoors, (hut), forest, flowers, parted lips,black eyes,(black belt:1.3), (buckle), lime-green long sleeves,((purple stocking hat:1.2)), ((oversized clothes)), brown shoes,lime-green very long sleeves,arms behind back ",
9  "negative_prompt": "bad-hands-5, (worst quality:2), (low quality:2),EasyNegative,lowres, ((1girl,fur trim,bangs,((hair)),((limes,sash)),underwear,necklace,choker,grass,motor vehicle,car,buttons,holding:1.2,monochrome,bad eyes,bad hands,underwear)), ((grayscale)",
10  "scheduler": "dpmpp_sde_ancestral",
11  "num_inference_steps": 25,
12  "guidance_scale": 9,
13  "samples": 1,
14  "seed": 5735283,
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.



Stable Diffusion Disney AI model is a latent diffusion model that can be used to generate images from text prompts. It is a powerful tool for AI developers who want to experiment with creative text-to-image generation, especially for generating images in the style of Disney movies.

The model is trained on a massive dataset of images and text from Disney movies, and it is specifically designed to generate images that have the same kind of vibrant colors, expressive characters, and whimsical settings that are found in Disney movies. To use the model, you first need to provide a text prompt. The text prompt can be anything you want, such as a description of an image, a concept, or even just a few words.

Here are some tips for using Stable Diffusion Disney:

  1. Go to the Segmind website:
  2. Click on the "Models" tab and select "Disney".
  3. Click on the "Try it out" button and upload an image that you want to use as a starting point.
  4. Click on the "Generate" button to generate image.
  5. Use clear and concise text prompts. The more specific your text prompt is, the more likely the model is to generate an image that matches your expectations.
  6. Experiment with different styles. Stable Diffusion Disney AI model can generate images in a variety of styles. Try different text prompts to see how the model generates different styles of images.
  7. Adjust the number of diffusion steps. The number of diffusion steps controls the level of detail in the image. More diffusion steps will result in a more detailed image, but it will also take longer to generate the image.

Stable Diffusion Disney AI model is a powerful tool for AI developers who want to experiment with creative text-to-image generation for images in the style of Disney movies. It is easy to use, and it can be used to generate images in a variety of styles.

If you are interested in experimenting with the tool, contact us for customized solutions, large-scale deployment, and research support.

##Applications/Use Cases

  1. Generating concept art based Disney movies.
  2. Creating fan art based on Disney movies.
  3. Designing merchandise based on Disney movies.