Generate images

Create images from a prompt

POST /v1/images/generations

Generate images

cURL

curl --request POST \
  --url https://api.bianxie.ai/v1/images/generations

import requests

url = "https://api.bianxie.ai/v1/images/generations"

response = requests.post(url)

print(response.text)

const options = {method: 'POST'};

fetch('https://api.bianxie.ai/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.bianxie.ai/v1/images/generations",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.bianxie.ai/v1/images/generations"

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

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.bianxie.ai/v1/images/generations")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bianxie.ai/v1/images/generations")

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

request = Net::HTTP::Post.new(url)

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

Field	Type	Required	Description
model	string	Yes	Image model ID.
prompt	string	Yes	Image description.
n	integer	No	Number of images, subject to model limits.
size, quality	string	No	Output dimensions and quality.
background	string	No	Transparent, opaque, or automatic background.
output_format	string	No	Such as png, jpeg, or webp.
moderation, user	string	No	Moderation level and user identifier.

cURL

curl https://api.bianxie.ai/v1/images/generations \
  -H "Authorization: Bearer API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "your-model",
    "prompt": "A futuristic city"
  }'

client.images.generate(model="your-model", prompt="A futuristic city")

await client.images.generate({ model: "your-model", prompt: "A futuristic city" });

The response includes created and data[]; images may be returned as b64_json or URLs, sometimes with a revised prompt. Treat this as non-streaming unless the selected model explicitly supports progress events.