Image Generation

Image generation using the lucataco/dreamshaper-xl-turbo AI Model.

POST v1/replicate/imagegeneration

Image Generation

cURL

curl --request POST \
  --url http://localhost:9000/api/v1/replicate/imagegeneration \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "width": 123,
  "height": 123,
  "scheduler": "<string>",
  "num_outputs": 123,
  "guidance_scale": 123,
  "negative_prompt": "<string>",
  "num_inference_steps": 123
}
'

import requests

url = "http://localhost:9000/api/v1/replicate/imagegeneration"

payload = {
    "prompt": "<string>",
    "width": 123,
    "height": 123,
    "scheduler": "<string>",
    "num_outputs": 123,
    "guidance_scale": 123,
    "negative_prompt": "<string>",
    "num_inference_steps": 123
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    width: 123,
    height: 123,
    scheduler: '<string>',
    num_outputs: 123,
    guidance_scale: 123,
    negative_prompt: '<string>',
    num_inference_steps: 123
  })
};

fetch('http://localhost:9000/api/v1/replicate/imagegeneration', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "9000",
  CURLOPT_URL => "http://localhost:9000/api/v1/replicate/imagegeneration",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'prompt' => '<string>',
    'width' => 123,
    'height' => 123,
    'scheduler' => '<string>',
    'num_outputs' => 123,
    'guidance_scale' => 123,
    'negative_prompt' => '<string>',
    'num_inference_steps' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "http://localhost:9000/api/v1/replicate/imagegeneration"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"width\": 123,\n  \"height\": 123,\n  \"scheduler\": \"<string>\",\n  \"num_outputs\": 123,\n  \"guidance_scale\": 123,\n  \"negative_prompt\": \"<string>\",\n  \"num_inference_steps\": 123\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("http://localhost:9000/api/v1/replicate/imagegeneration")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"width\": 123,\n  \"height\": 123,\n  \"scheduler\": \"<string>\",\n  \"num_outputs\": 123,\n  \"guidance_scale\": 123,\n  \"negative_prompt\": \"<string>\",\n  \"num_inference_steps\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("http://localhost:9000/api/v1/replicate/imagegeneration")

http = Net::HTTP.new(url.host, url.port)

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"width\": 123,\n  \"height\": 123,\n  \"scheduler\": \"<string>\",\n  \"num_outputs\": 123,\n  \"guidance_scale\": 123,\n  \"negative_prompt\": \"<string>\",\n  \"num_inference_steps\": 123\n}"

response = http.request(request)
puts response.read_body

Query

model · string · default: "lucataco/dreamshaper-xl-turbo" · required

The image model to be used;

Body

prompt · string · required

Input prompt

width · int · default: "1024"

Width of output image. Recommended 1024 or 1280

height · int · default: "1024"

Height of output image. Recommended 1024 or 1280

scheduler · string · default: "K_EULER"

scheduler

num_outputs · int · default: "1"

Number of images to output.

guidance_scale · float · default: "2.0"

Scale for classifier-free guidance. Recommended 7-8

negative_prompt · string

Negative Input prompt

num_inference_steps · int · default: "6"

Number of denoising steps. 4 for best results