Создать видео (форматы Omni и Veo)
curl --request POST \
--url https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"instances": [
{
"prompt": "A cinematic aerial shot of a modern city at sunrise",
"referenceImages": [
{
"image": {
"inlineData": {
"mimeType": "image/png",
"data": "BASE64_IMAGE_DATA"
}
},
"referenceType": "asset"
}
]
}
],
"parameters": {
"aspectRatio": "16:9",
"durationSeconds": 5,
"resolution": "720p"
}
}
'import requests
url = "https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning"
payload = {
"instances": [
{
"prompt": "A cinematic aerial shot of a modern city at sunrise",
"referenceImages": [
{
"image": { "inlineData": {
"mimeType": "image/png",
"data": "BASE64_IMAGE_DATA"
} },
"referenceType": "asset"
}
]
}
],
"parameters": {
"aspectRatio": "16:9",
"durationSeconds": 5,
"resolution": "720p"
}
}
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({
instances: [
{
prompt: 'A cinematic aerial shot of a modern city at sunrise',
referenceImages: [
{
image: {inlineData: {mimeType: 'image/png', data: 'BASE64_IMAGE_DATA'}},
referenceType: 'asset'
}
]
}
],
parameters: {aspectRatio: '16:9', durationSeconds: 5, resolution: '720p'}
})
};
fetch('https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning', 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.aiid.edu.kg/v1beta/models/{model}:predictLongRunning",
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([
'instances' => [
[
'prompt' => 'A cinematic aerial shot of a modern city at sunrise',
'referenceImages' => [
[
'image' => [
'inlineData' => [
'mimeType' => 'image/png',
'data' => 'BASE64_IMAGE_DATA'
]
],
'referenceType' => 'asset'
]
]
]
],
'parameters' => [
'aspectRatio' => '16:9',
'durationSeconds' => 5,
'resolution' => '720p'
]
]),
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 := "https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning"
payload := strings.NewReader("{\n \"instances\": [\n {\n \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n \"referenceImages\": [\n {\n \"image\": {\n \"inlineData\": {\n \"mimeType\": \"image/png\",\n \"data\": \"BASE64_IMAGE_DATA\"\n }\n },\n \"referenceType\": \"asset\"\n }\n ]\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 5,\n \"resolution\": \"720p\"\n }\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("https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"instances\": [\n {\n \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n \"referenceImages\": [\n {\n \"image\": {\n \"inlineData\": {\n \"mimeType\": \"image/png\",\n \"data\": \"BASE64_IMAGE_DATA\"\n }\n },\n \"referenceType\": \"asset\"\n }\n ]\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 5,\n \"resolution\": \"720p\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"instances\": [\n {\n \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n \"referenceImages\": [\n {\n \"image\": {\n \"inlineData\": {\n \"mimeType\": \"image/png\",\n \"data\": \"BASE64_IMAGE_DATA\"\n }\n },\n \"referenceType\": \"asset\"\n }\n ]\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 5,\n \"resolution\": \"720p\"\n }\n}"
response = http.request(request)
puts response.read_body{
"name": "models/veo3.1-fast/operations/abc123"
}Видео-генерация Omni и формат Veo
Создать видео (форматы Omni и Veo)
Эта серия поддерживает формат генерации видео OpenAI (подробности см. по ссылке совместимые форматы видео生成Sora ).
Эта тематическая страница API предназначена для описания форматов видео, связанных с Omni и Veo, а также текущего статуса поддержки нативного формата Veo в шлюзе.
Для внешнего использования текущего ряда Veo применяйте совместимый режим OpenAI Sora: POST /v1/videos.
Путь для нативного режима Google зарезервирован как: POST /v1beta/models/{model}:predictLongRunning. В текущем шлюзе нативная цепочка распределения задач Veo пока не подключена, поэтому вызовы с нативным телом запроса instances/parameters пока не поддерживаются.
Важно: поддерживаемые моделью gemini-omni конечные точки — это совместимый с Sora формат POST /v1/videos или формат Seedance POST /api/v3/contents/generations/tasks; конечные точки с нативным Google Veo predictLongRunning на этой странице не поддерживаются.
POST
/
v1beta
/
models
/
{model}
:predictLongRunning
Создать видео (форматы Omni и Veo)
curl --request POST \
--url https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"instances": [
{
"prompt": "A cinematic aerial shot of a modern city at sunrise",
"referenceImages": [
{
"image": {
"inlineData": {
"mimeType": "image/png",
"data": "BASE64_IMAGE_DATA"
}
},
"referenceType": "asset"
}
]
}
],
"parameters": {
"aspectRatio": "16:9",
"durationSeconds": 5,
"resolution": "720p"
}
}
'import requests
url = "https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning"
payload = {
"instances": [
{
"prompt": "A cinematic aerial shot of a modern city at sunrise",
"referenceImages": [
{
"image": { "inlineData": {
"mimeType": "image/png",
"data": "BASE64_IMAGE_DATA"
} },
"referenceType": "asset"
}
]
}
],
"parameters": {
"aspectRatio": "16:9",
"durationSeconds": 5,
"resolution": "720p"
}
}
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({
instances: [
{
prompt: 'A cinematic aerial shot of a modern city at sunrise',
referenceImages: [
{
image: {inlineData: {mimeType: 'image/png', data: 'BASE64_IMAGE_DATA'}},
referenceType: 'asset'
}
]
}
],
parameters: {aspectRatio: '16:9', durationSeconds: 5, resolution: '720p'}
})
};
fetch('https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning', 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.aiid.edu.kg/v1beta/models/{model}:predictLongRunning",
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([
'instances' => [
[
'prompt' => 'A cinematic aerial shot of a modern city at sunrise',
'referenceImages' => [
[
'image' => [
'inlineData' => [
'mimeType' => 'image/png',
'data' => 'BASE64_IMAGE_DATA'
]
],
'referenceType' => 'asset'
]
]
]
],
'parameters' => [
'aspectRatio' => '16:9',
'durationSeconds' => 5,
'resolution' => '720p'
]
]),
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 := "https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning"
payload := strings.NewReader("{\n \"instances\": [\n {\n \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n \"referenceImages\": [\n {\n \"image\": {\n \"inlineData\": {\n \"mimeType\": \"image/png\",\n \"data\": \"BASE64_IMAGE_DATA\"\n }\n },\n \"referenceType\": \"asset\"\n }\n ]\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 5,\n \"resolution\": \"720p\"\n }\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("https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"instances\": [\n {\n \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n \"referenceImages\": [\n {\n \"image\": {\n \"inlineData\": {\n \"mimeType\": \"image/png\",\n \"data\": \"BASE64_IMAGE_DATA\"\n }\n },\n \"referenceType\": \"asset\"\n }\n ]\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 5,\n \"resolution\": \"720p\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.aiid.edu.kg/v1beta/models/{model}:predictLongRunning")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"instances\": [\n {\n \"prompt\": \"A cinematic aerial shot of a modern city at sunrise\",\n \"referenceImages\": [\n {\n \"image\": {\n \"inlineData\": {\n \"mimeType\": \"image/png\",\n \"data\": \"BASE64_IMAGE_DATA\"\n }\n },\n \"referenceType\": \"asset\"\n }\n ]\n }\n ],\n \"parameters\": {\n \"aspectRatio\": \"16:9\",\n \"durationSeconds\": 5,\n \"resolution\": \"720p\"\n }\n}"
response = http.request(request)
puts response.read_body{
"name": "models/veo3.1-fast/operations/abc123"
}Авторизации
Используйте проверку подлинности Bearer Token.
Формат: Authorization: Bearer sk-xxxxxx
Параметры пути
Имя модели Veo.
Доступные опции:
veo3, veo3-fast, veo3-fast-frames, veo3-frames, veo3-pro, veo3-pro-frames, veo3.1, veo3.1-4k, veo3.1-components, veo3.1-fast, veo3.1-pro, veo3.1-pro-4k Пример:
"veo3.1-fast"
Тело
application/json
Minimum array length:
1Hide child attributes
Hide child attributes
Сгенерировать промпт
Пример:
"A cinematic aerial shot of a modern city at sunrise"
Необязательно. От 1 до 3 эталонных изображений; используйте стандартный формат Google inlineData или структуру URI файла.
Hide child attributes
Hide child attributes
Пример:
"asset"
Ответ
200 - application/json
Зарезервированная структура успешного ответа. В настоящее время приводится только для описания протокола и не поддерживает фактические вызовы.
Имя операции (operation name), используемое для последующего запроса статуса.
Пример:
"models/veo3.1-fast/operations/abc123"