1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 const axios = require('axios'); const fs = require('fs'); const path = require('path'); async function toB64(imgPath) { const data = fs.readFileSync(path.resolve(imgPath)); return Buffer.from(data).toString('base64'); } const api_key = "YOUR API-KEY"; const url = ""; const data = { "image": "toB64('')", "prompt": "photo of beautiful age 18 girl, pink hair, beautiful, close up, young, dslr, 8k, 4k, ultrarealistic, realistic, natural skin, textured skin", "negative_prompt": "painting, drawing, sketch, cartoon, anime, manga, render, CG, 3d, watermark, signature, label, long neck", "samples": 1, "scheduler": "Euler a", "num_inference_steps": 30, "guidance_scale": 7.5, "seed": 452361789, "strength": 0.9, "base64": false }; (async function() { try { const response = await, data, { headers: { 'x-api-key': api_key } }); console.log(; } catch (error) { console.error('Error:',; } })();
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


imageimage *

Input Image

promptstr *

Prompt to render

negative_promptstr ( default: None )

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

samplesint ( default: 1 ) Affects Pricing

Number of samples to generate.

min : 1,

max : 4

schedulerenum:str ( default: DPM2 Karras )

Type of scheduler.

Allowed values:

num_inference_stepsint ( default: 25 ) Affects Pricing

Number of denoising steps.

min : 20,

max : 100

guidance_scalefloat ( default: 7.5 )

Scale for classifier-free guidance

min : 1,

max : 25

seedint ( default: -1 )

Seed for image generation.

min : -1,

max : 999999999999999

strengthfloat ( default: 7.5 )

Scale for classifier-free guidance

min : 0,

max : 0.99

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.

Segmind Stable Diffusion 1B (SSD-1B) Img2Img

Segmind Stable Diffusion 1B (SSD-1B) Img2Img is a cutting-edge AI model that is reshaping the landscape of image-to-image transformations. Leveraging advanced machine learning techniques, SSD-1B excels at converting conceptual prompts into vivid visuals, refining images, and facilitating seamless image translations guided by nuanced text inputs. It stands as a pivotal tool for creatives, marketers, and software developers who are looking to break new ground in the realm of visual content creation.

At the core of SSD-1B Img2Img is a sophisticated algorithm adept at intricate visual content manipulation. With the ability to take an existing image and, through text-driven prompts, transform it into a new piece that resonates with the creator's intent, the modle shines in performing style transfers, enhancing details, and altering subjects while preserving the essence of the original image.


  1. Text-Directed Transformation: Employs text prompts to direct the transformation process, aligning the output closely with the creator's objectives .

  2. Fluid Style Adaptation:Capably adjusts the style from one image to another, ensuring transitions are coherent and purposeful.

  3. Enhanced Detailing:Elevates the intricacies within images, enhancing definition and vibrancy.

  4. Expansive Creative Range: Provides a broad spectrum of creative possibilities, ranging from nuanced tweaks to complete conceptual overhauls.

Use Cases

  1. Creative Artwork: Enables artists to push the boundaries of their work, exploring new styles and themes effortlessly.

  2. Marketing Material: Assists marketers in crafting images that are in sync with brand stories, maintaining uniformity across all visual communications.

  3. Product Design: Allows designers to swiftly generate multiple product iterations, accelerating the design process.

  4. Entertainment Media: Supports content creators in the entertainment sector to adjust and refine visual elements to match dynamic narratives.

  5. Educational Tools: Aids educators in developing bespoke visual aids that enhance the learning experience for complex subjects.