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POST
/
v3
/
async
/
veo-3.1-fast-generate-firstlastframe
Veo 3.1 Fast 首尾帧视频生成
curl --request POST \
  --url https://api.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "seed": 123,
  "image": "<string>",
  "prompt": "<string>",
  "last_image": "<string>",
  "resolution": "<string>",
  "aspect_ratio": "<string>",
  "sample_count": 123,
  "enhance_prompt": true,
  "generate_audio": true,
  "negative_prompt": "<string>",
  "duration_seconds": 123,
  "person_generation": "<string>"
}
'
import requests

url = "https://api.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe"

payload = {
    "seed": 123,
    "image": "<string>",
    "prompt": "<string>",
    "last_image": "<string>",
    "resolution": "<string>",
    "aspect_ratio": "<string>",
    "sample_count": 123,
    "enhance_prompt": True,
    "generate_audio": True,
    "negative_prompt": "<string>",
    "duration_seconds": 123,
    "person_generation": "<string>"
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "<authorization>"
}

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

print(response.text)
const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
  body: JSON.stringify({
    seed: 123,
    image: '<string>',
    prompt: '<string>',
    last_image: '<string>',
    resolution: '<string>',
    aspect_ratio: '<string>',
    sample_count: 123,
    enhance_prompt: true,
    generate_audio: true,
    negative_prompt: '<string>',
    duration_seconds: 123,
    person_generation: '<string>'
  })
};

fetch('https://api.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe', 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.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe",
  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([
    'seed' => 123,
    'image' => '<string>',
    'prompt' => '<string>',
    'last_image' => '<string>',
    'resolution' => '<string>',
    'aspect_ratio' => '<string>',
    'sample_count' => 123,
    'enhance_prompt' => true,
    'generate_audio' => true,
    'negative_prompt' => '<string>',
    'duration_seconds' => 123,
    'person_generation' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe"

	payload := strings.NewReader("{\n  \"seed\": 123,\n  \"image\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"last_image\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"sample_count\": 123,\n  \"enhance_prompt\": true,\n  \"generate_audio\": true,\n  \"negative_prompt\": \"<string>\",\n  \"duration_seconds\": 123,\n  \"person_generation\": \"<string>\"\n}")

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

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "<authorization>")

	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.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "<authorization>")
  .body("{\n  \"seed\": 123,\n  \"image\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"last_image\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"sample_count\": 123,\n  \"enhance_prompt\": true,\n  \"generate_audio\": true,\n  \"negative_prompt\": \"<string>\",\n  \"duration_seconds\": 123,\n  \"person_generation\": \"<string>\"\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://api.highwayapi.ai/v3/async/veo-3.1-fast-generate-firstlastframe")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n  \"seed\": 123,\n  \"image\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"last_image\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"sample_count\": 123,\n  \"enhance_prompt\": true,\n  \"generate_audio\": true,\n  \"negative_prompt\": \"<string>\",\n  \"duration_seconds\": 123,\n  \"person_generation\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body
{
  "task_id": "<string>"
}
通过指定首帧和尾帧图像,结合文本提示词生成视频。模型在两帧之间插值生成连贯的运动内容。使用 Google Veo 3.1 Fast 模型(veo-3.1-fast-generate-001),生成速度更快。
这是一个异步API,只会返回异步任务的 task_id。您应该使用该 task_id 请求 查询任务结果 API 来检索生成结果。

请求头

Content-Type
string
必填
枚举值: application/json
Authorization
string
必填
Bearer 身份验证格式: Bearer {{API 密钥}}。

请求体

seed
integer
随机种子,用于确定性生成。相同种子和参数将产生相同结果取值范围:[0, 4294967295]
image
string
必填
首帧图像,支持图片URL或Base64编码。支持 JPEG、PNG 格式,最大 20MB
prompt
string
必填
文本提示词,描述视频内容和首尾帧之间的运动过程
last_image
string
必填
尾帧图像,支持图片URL或Base64编码。支持 JPEG、PNG 格式,最大 20MB
resolution
string
默认值:"720p"
输出视频分辨率可选值:720p, 1080p
aspect_ratio
string
默认值:"16:9"
视频宽高比,16:9 为横屏,9:16 为竖屏可选值:16:9, 9:16
sample_count
integer
默认值:1
生成视频数量,范围 1-4取值范围:[1, 4]
enhance_prompt
boolean
默认值:true
是否增强输入提示词以提升生成质量
generate_audio
boolean
默认值:false
是否生成音频轨道
negative_prompt
string
负面提示词,描述不希望在视频中出现的内容
duration_seconds
integer
默认值:8
视频时长(秒),可选 4、6、8 秒可选值:4, 6, 8
person_generation
string
默认值:"allow_adult"
人物生成控制。allow_adult: 允许生成成人;disallow: 禁止生成人物可选值:allow_adult, disallow

响应信息

task_id
string
使用 task_id 请求 查询任务结果 API 来检索生成的输出。