1const axios = require('axios');
2
3
4const api_key = "YOUR API-KEY";
5const url = "https://api.segmind.com/v1/sd1.5-dvrach";
6
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
18};
19
20(async function() {
21 try {
22 const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
23 console.log(response.data);
24 } catch (error) {
25 console.error('Error:', error.response.data);
26 }
27})();
Prompt to render
Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
Type of scheduler.
Allowed values:
Number of denoising steps.
min : 20,
min : 100
Scale for classifier-free guidance
min : 0.1,
min : 25
Number of samples to generate.
min : 1,
min : 4
Seed for image generation.
Width of the image.
Allowed values:
Height of the Image
Allowed values:
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.
Tailored Outputs: The model's response to individual trigger words ensures designs that resonate with the chosen architectural style.
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.
User-Centric Approach: The trigger word mechanism provides an intuitive user experience, allowing for easy navigation between styles.
High Precision: DvArch's custom training ensures accurate and authentic architectural renderings aligned with the chosen style.
Innovative Integration: The model's unique approach sets it apart, making it a valuable tool for architects and designers seeking specialized outputs.
Architectural Visualization: Architects can harness DvArch to visualize structures in various styles, aiding client presentations and design iterations.
Educational Platforms: Students and enthusiasts can explore architectural styles in-depth, understanding nuances and design principles.
Virtual Tours: Real estate and travel platforms can use DvArch to create immersive virtual tours, showcasing properties in different architectural renditions.
Game Design: Game developers can integrate DvArch to craft diverse in-game structures, enhancing world-building and player immersion.
Media and Film Production: Film producers and directors can utilize the model for pre-visualization, setting the tone for scenes and backdrops.