POST/v1/sdxl1.0-realvis
1const axios = require('axios');
2
3
4const api_key = "YOUR API-KEY";
5const url = "https://api.segmind.com/v1/sdxl1.0-realvis";
6
7const data = {
8  "prompt": "analog photo, closeup portrait photo of 28 y.o asian man, natural skin, looks at viewer, city street, (cinematic shot, film grain:1.1)",
9  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
10  "samples": 1,
11  "scheduler": "UniPC",
12  "num_inference_steps": 25,
13  "guidance_scale": 7,
14  "seed": 3195698736,
15  "img_width": 1024,
16  "img_height": 1024,
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})();
RESPONSE
image/jpeg
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
Expand

Attributes

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,

min : 4

schedulerenum:str ( default: DPM2 Karras )

Type of scheduler.

Allowed values:

num_inference_stepsint ( default: 25 ) Affects Pricing

Number of denoising steps.

min : 20,

min : 100

guidance_scalefloat ( default: 7.5 )

Scale for classifier-free guidance

min : 1,

min : 25

seedint ( default: -1 )

Seed for image generation.

min : -1,

min : 999999999999999

img_widthenum:int ( default: 1024 ) Affects Pricing

Can only be 1024 for SDXL

Allowed values:

img_heightenum:int ( default: 1024 ) Affects Pricing

Can only be 1024 for SDXL

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.

RealVis SDXL

RealVis XL, built on the SDXL framework, is adept at producing hyper-realistic images. Its prowess lies in crafting human figures so detailed that they're indistinguishable from real-life, especially in areas like skin and hair texture, and body proportions.

Advantages

  1. Hyper-Realistic Outputs: RealVis SDXL's core strength lies in its ability to produce images that are virtually indistinguishable from real-life visuals.

  2. Detailed Human Figures: The model specializes in crafting human representations with impeccable detail, from skin and hair textures to accurate body proportions.

  3. Robust Foundation: Building on the trusted SDXL framework, RealVis SDXL combines reliability with cutting-edge realism.

  4. Innovative Techniques: RealVis SDXL employs state-of-the-art techniques to ensure every image output is of the highest quality.

Use Cases

  1. Digital Art Creation: Artists can leverage RealVis SDXL to produce lifelike portraits and character designs.

  2. Film and Animation: Filmmakers and animators can use the model for pre-visualization and character design, ensuring realistic representations.

  3. Gaming Industry: Game developers can integrate RealVis SDXL to craft hyper-realistic characters, enhancing player immersion.

  4. Fashion and Design: Designers can visualize lifelike human models for apparel and accessory showcases.

  5. Advertising and Marketing: Marketers can create realistic visuals for campaigns, ensuring high audience engagement.