POST/v1/sd1.5-epicrealism
1const axios = require('axios');
2
3
4const api_key = "YOUR API-KEY";
5const url = "https://api.segmind.com/v1/sd1.5-epicrealism";
6
7const data = {
8  "prompt": "RAW commercial photo the pretty instagram fashion model, ((smiling)), in the red full wrap around dress posing, in the style of colorful geometrics, guy aroch, helene knoop, glowing pastels, bold lines, bright colors, sun-soaked colours, Fujifilm X-T4, Sony",
9  "negative_prompt": "airbrushed,3d, render, painting, anime, manga, illustration, (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation,bige yes, teeth,nose piercing,(((extra arms)))cartoon,young,child, nsfw ",
10  "scheduler": "dpmpp_sde_ancestral",
11  "num_inference_steps": 25,
12  "guidance_scale": 9,
13  "samples": 1,
14  "seed": 10452167572,
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})();
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'

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.

Epic Realism

EpicRealism

Stable Diffusion Epic Realism 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 photorealistic images.

The model is trained on a massive dataset of images and text, and it is specifically designed to generate images with a high degree of realism. 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 Edge of Realism:

  1. Go to the Segmind website: https://segmind.com/
  2. Click on the "Models" tab and select "Epic Realism".
  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 Epic Realism 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.

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 for movies and video games.
  2. Creating marketing materials, such as product images and social media graphics.
  3. Designing user interfaces (UIs) for websites and apps.