1const axios = require('axios');
4const api_key = "YOUR API-KEY";
5const url = "";
7const data = {
8  "prompt": "dvArchModern, 85mm, f1.8, portrait, photo realistic, hyperrealistic, orante, super detailed, intricate, dramatic, sun lighting, shadows, high dynamic range, modern interior, beach house, mexico",
9  "negative_prompt": "signature, soft, single floor,unclear, watermark, blurry, drawing, sketch, poor quality, ugly, text, type, word, logo, pixelated, low resolution, saturated, high contrast, oversharpened",
10  "scheduler": "euler_a",
11  "num_inference_steps": 20,
12  "guidance_scale": 7,
13  "samples": 1,
14  "seed": 5499784543,
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.


DvArch, a bespoke trained model tailored to breathe life into architectural visions. With its unique approach of utilizing three distinct trigger words - dvArchModern, dvArchGothic, and dvArchVictorian - dvArch offers users a specialized avenue to explore and manifest architectural styles spanning centuries.

At the core of DvArch lies a sophisticated mechanism designed to respond to specific trigger words. Each trigger word acts as a gateway to a distinct architectural style, ensuring that users can seamlessly transition between modern minimalism, the grandeur of Gothic, and the elegance of Victorian, all within a single model framework.


  1. Tailored Outputs: The model's response to individual trigger words ensures designs that resonate with the chosen architectural style.

  2. Versatile Design Palette: From the sleek lines of modern architecture to the intricate details of Victorian designs, DvArch offers a broad spectrum of design possibilities.

  3. User-Centric Approach: The trigger word mechanism provides an intuitive user experience, allowing for easy navigation between styles.

  4. High Precision: DvArch's custom training ensures accurate and authentic architectural renderings aligned with the chosen style.

  5. Innovative Integration: The model's unique approach sets it apart, making it a valuable tool for architects and designers seeking specialized outputs.

Use Cases

  1. Architectural Visualization: Architects can harness DvArch to visualize structures in various styles, aiding client presentations and design iterations.

  2. Educational Platforms: Students and enthusiasts can explore architectural styles in-depth, understanding nuances and design principles.

  3. Virtual Tours: Real estate and travel platforms can use DvArch to create immersive virtual tours, showcasing properties in different architectural renditions.

  4. Game Design: Game developers can integrate DvArch to craft diverse in-game structures, enhancing world-building and player immersion.

  5. Media and Film Production: Film producers and directors can utilize the model for pre-visualization, setting the tone for scenes and backdrops.