curl --request POST \
--url https://api.goenhance.ai/api/v1/videos/generations \
--header 'Content-Type: application/json' \
--data '
{
"model": "viduq3_turbo_reference",
"prompt": "The two characters hug by the lakeside at sunset, cinematic",
"image_urls": [
"https://your-cdn.com/subject-1.jpg",
"https://your-cdn.com/subject-2.jpg"
],
"duration": 8,
"resolution": "720p"
}
'import requests
url = "https://api.goenhance.ai/api/v1/videos/generations"
payload = {
"model": "viduq3_turbo_reference",
"prompt": "The two characters hug by the lakeside at sunset, cinematic",
"image_urls": ["https://your-cdn.com/subject-1.jpg", "https://your-cdn.com/subject-2.jpg"],
"duration": 8,
"resolution": "720p"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'viduq3_turbo_reference',
prompt: 'The two characters hug by the lakeside at sunset, cinematic',
image_urls: ['https://your-cdn.com/subject-1.jpg', 'https://your-cdn.com/subject-2.jpg'],
duration: 8,
resolution: '720p'
})
};
fetch('https://api.goenhance.ai/api/v1/videos/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.goenhance.ai/api/v1/videos/generations",
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([
'model' => 'viduq3_turbo_reference',
'prompt' => 'The two characters hug by the lakeside at sunset, cinematic',
'image_urls' => [
'https://your-cdn.com/subject-1.jpg',
'https://your-cdn.com/subject-2.jpg'
],
'duration' => 8,
'resolution' => '720p'
]),
CURLOPT_HTTPHEADER => [
"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 := "https://api.goenhance.ai/api/v1/videos/generations"
payload := strings.NewReader("{\n \"model\": \"viduq3_turbo_reference\",\n \"prompt\": \"The two characters hug by the lakeside at sunset, cinematic\",\n \"image_urls\": [\n \"https://your-cdn.com/subject-1.jpg\",\n \"https://your-cdn.com/subject-2.jpg\"\n ],\n \"duration\": 8,\n \"resolution\": \"720p\"\n}")
req, _ := http.NewRequest("POST", url, payload)
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("https://api.goenhance.ai/api/v1/videos/generations")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"viduq3_turbo_reference\",\n \"prompt\": \"The two characters hug by the lakeside at sunset, cinematic\",\n \"image_urls\": [\n \"https://your-cdn.com/subject-1.jpg\",\n \"https://your-cdn.com/subject-2.jpg\"\n ],\n \"duration\": 8,\n \"resolution\": \"720p\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.goenhance.ai/api/v1/videos/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"viduq3_turbo_reference\",\n \"prompt\": \"The two characters hug by the lakeside at sunset, cinematic\",\n \"image_urls\": [\n \"https://your-cdn.com/subject-1.jpg\",\n \"https://your-cdn.com/subject-2.jpg\"\n ],\n \"duration\": 8,\n \"resolution\": \"720p\"\n}"
response = http.request(request)
puts response.read_body{
"code": 0,
"msg": "Success",
"data": {
"img_uuid": "c12b656c-747a-44fd-9c80-add79b0c52d5"
}
}Vidu Q3 Turbo (Reference)
Vidu Q3 Turbo reference-image to video. Supply 1-7 reference images via image_urls; the model keeps the subjects consistent across the generated video.
This model only accepts image_urls. For text-to-video, image-to-video or start-end frame generation use viduq3_turbo — passing image_url or image_end_url here returns an error.
Pricing — per second of generated video, in tokens (USD at $0.02/token). Reference-to-video is priced lower than the other generation types:
| resolution | tokens/s | USD/s |
|---|---|---|
| 540p | 1 | $0.02 |
| 720p | 2.5 | $0.05 |
| 1080p | 3.25 | $0.065 |
Example: an 8s 720p video costs 20 tokens.
Returns an img_uuid; poll GET /api/v1/jobs/detail (or use custom_callback_url) to get the generated video.
curl --request POST \
--url https://api.goenhance.ai/api/v1/videos/generations \
--header 'Content-Type: application/json' \
--data '
{
"model": "viduq3_turbo_reference",
"prompt": "The two characters hug by the lakeside at sunset, cinematic",
"image_urls": [
"https://your-cdn.com/subject-1.jpg",
"https://your-cdn.com/subject-2.jpg"
],
"duration": 8,
"resolution": "720p"
}
'import requests
url = "https://api.goenhance.ai/api/v1/videos/generations"
payload = {
"model": "viduq3_turbo_reference",
"prompt": "The two characters hug by the lakeside at sunset, cinematic",
"image_urls": ["https://your-cdn.com/subject-1.jpg", "https://your-cdn.com/subject-2.jpg"],
"duration": 8,
"resolution": "720p"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'viduq3_turbo_reference',
prompt: 'The two characters hug by the lakeside at sunset, cinematic',
image_urls: ['https://your-cdn.com/subject-1.jpg', 'https://your-cdn.com/subject-2.jpg'],
duration: 8,
resolution: '720p'
})
};
fetch('https://api.goenhance.ai/api/v1/videos/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.goenhance.ai/api/v1/videos/generations",
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([
'model' => 'viduq3_turbo_reference',
'prompt' => 'The two characters hug by the lakeside at sunset, cinematic',
'image_urls' => [
'https://your-cdn.com/subject-1.jpg',
'https://your-cdn.com/subject-2.jpg'
],
'duration' => 8,
'resolution' => '720p'
]),
CURLOPT_HTTPHEADER => [
"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 := "https://api.goenhance.ai/api/v1/videos/generations"
payload := strings.NewReader("{\n \"model\": \"viduq3_turbo_reference\",\n \"prompt\": \"The two characters hug by the lakeside at sunset, cinematic\",\n \"image_urls\": [\n \"https://your-cdn.com/subject-1.jpg\",\n \"https://your-cdn.com/subject-2.jpg\"\n ],\n \"duration\": 8,\n \"resolution\": \"720p\"\n}")
req, _ := http.NewRequest("POST", url, payload)
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("https://api.goenhance.ai/api/v1/videos/generations")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"viduq3_turbo_reference\",\n \"prompt\": \"The two characters hug by the lakeside at sunset, cinematic\",\n \"image_urls\": [\n \"https://your-cdn.com/subject-1.jpg\",\n \"https://your-cdn.com/subject-2.jpg\"\n ],\n \"duration\": 8,\n \"resolution\": \"720p\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.goenhance.ai/api/v1/videos/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"viduq3_turbo_reference\",\n \"prompt\": \"The two characters hug by the lakeside at sunset, cinematic\",\n \"image_urls\": [\n \"https://your-cdn.com/subject-1.jpg\",\n \"https://your-cdn.com/subject-2.jpg\"\n ],\n \"duration\": 8,\n \"resolution\": \"720p\"\n}"
response = http.request(request)
puts response.read_body{
"code": 0,
"msg": "Success",
"data": {
"img_uuid": "c12b656c-747a-44fd-9c80-add79b0c52d5"
}
}Headers
Body
Model name. Must be viduq3_turbo_reference.
viduq3_turbo_reference Text prompt describing the video.
Reference image URLs (required, 1-7 images). Each image must be at least 128x128 px, aspect ratio between 1:4 and 4:1, max 50MB; png/jpeg/jpg/webp.
1 - 7 elementsVideo duration in seconds (3-16). Defaults to 5.
3 <= x <= 16Output resolution.
540p, 720p, 1080p Aspect ratio of the output video. Reference-to-video supports fewer ratios than the generation endpoints. aspect_ratio is accepted as a compatible alias.
16:9, 9:16, 1:1 Optional. A publicly accessible HTTPS URL. When the task status changes (processing / success / failed), GoEnhance sends a POST request to this URL. The request body is identical to the response of GET /api/v1/jobs/detail. If your server does not respond with HTTP 200, the notification is retried up to 3 times, with a 3-second timeout per attempt.
"https://your-server.com/goenhance/callback"
