Generate
Generate realistic photos of the subject using the trained model.
POST https://api.apiframe.pro/ai-photo-generate
Headers
Name
Value
Content-Type
application/json
Authorization*
Your APIFRAME API Key
Body
Name
Type
Description
training_id*
string
the task_id of the corresponding training task
prompt*
string
the text prompt to describe the photo to generate Ex: a realistic portrait of TOKMSN black man wearing a suit
aspect_ratio
string
Aspect ratio for the image, one of '1:1', '4:3', '3:4', '16:9', '9:16', '3:2', '2:3', '21:9', '9:21', '5:4', '4:5', '1:2', '2:1', '1:3', '3:1', '1:4', '4:1', or 'custom'
Default: 1:1 Needs to be 'custom' if you provide height and width
width
string
The width of the images The aspect_ratio needs to be custom for this
height
string
The height of the images The aspect_ratio needs to be custom for this
number_of_images
string
Number of images to generate: 1 to 4
seed
integer
The seed for the generation
Response
// Success, the image has been generated
{
"task_id": "82ddc894-7c88-48d8-8f65-63101c3c88fc",
"status": "finished",
"task_type": "ai-photo-generate",
"image_urls": [
"https://cdn.apiframe.pro/images/xxxxxxxxxxxxx-0.png",
"https://cdn.apiframe.pro/images/xxxxxxxxxxxxx-1.png"
]
}// Bad request
{
"errors": [{ msg: "Invalid request" }]
}// Invalid API Key
{}// A server error occured
{}Code samples
const axios = require('axios');
const data = JSON.stringify({
"training_id": "...",
"prompt": "a portrait of TOKMSN Asian female..",
});
const config = {
method: 'post',
maxBodyLength: Infinity,
url: 'https://api.apiframe.pro/ai-photo-generate',
headers: {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
},
data : data
};
axios.request(config)
.then((response) => {
console.log(JSON.stringify(response.data));
})
.catch((error) => {
console.log(error);
});
import requests
import json
url = "https://api.apiframe.pro/ai-photo-generate"
payload = json.dumps({
"training_id": "...",
"prompt": "a portrait of TOKMSN Asian female..",
})
headers = {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
<?php
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://api.apiframe.pro/ai-photo-generate',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS =>'{
"training_id": "...",
"prompt": "a portrait of TOKMSN Asian female..",
}',
CURLOPT_HTTPHEADER => array(
'Content-Type: application/json',
'Authorization: YOUR_API_KEY'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\r\n \"training_id\": \"...\", \"prompt\": \"a portrait of TOKMSN Asian female..\",\r\n }");
Request request = new Request.Builder()
.url("https://api.apiframe.pro/ai-photo-generate")
.method("POST", body)
.addHeader("Content-Type", "application/json")
.addHeader("Authorization", "YOUR_API_KEY")
.build();
Response response = client.newCall(request).execute();var headers = {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
};
var data = json.encode({
"training_id": "...",
"prompt": "a portrait of TOKMSN Asian female..",
});
var dio = Dio();
var response = await dio.request(
'https://api.apiframe.pro/ai-photo-generate',
options: Options(
method: 'POST',
headers: headers,
),
data: data,
);
if (response.statusCode == 200) {
print(json.encode(response.data));
}
else {
print(response.statusMessage);
}var client = new HttpClient();
var request = new HttpRequestMessage(HttpMethod.Post, "https://api.apiframe.pro/ai-photo-generate");
request.Headers.Add("Authorization", "YOUR_API_KEY");
var content = new StringContent("{\r\n \"training_id\": \"...\", \"prompt\": \"a portrait of TOKMSN Asian female..\", \r\n}", null, "application/json");
request.Content = content;
var response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());require "uri"
require "json"
require "net/http"
url = URI("https://api.apiframe.pro/ai-photo-generate")
https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = "application/json"
request["Authorization"] = "YOUR_API_KEY"
request.body = JSON.dump({
"training_id": "...",
"prompt": "a portrait of TOKMSN Asian female..",
})
response = https.request(request)
puts response.read_body
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