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curl --request POST \
--url https://api.apiyi.com/v1/videos \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "veo-3.1-fast-generate-preview",
"prompt": "黄昏海边的灯塔,镜头缓慢推进,海浪轻拍礁石,海鸟叫声,电影级光影,稳定运镜"
}
'{
"id": "task_xxxxxxxxxxxxxxxx",
"task_id": "task_xxxxxxxxxxxxxxxx",
"object": "video",
"model": "veo-3.1-fast-generate-preview",
"status": "queued",
"progress": 0,
"created_at": 1775025000,
"completed_at": 1775025090
}VEO 3.1 Official 文生视频 API 参考与在线调试 — JSON 请求体、异步任务三步流程、4/6/8 秒灵活时长、按次计费。
curl --request POST \
--url https://api.apiyi.com/v1/videos \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "veo-3.1-fast-generate-preview",
"prompt": "黄昏海边的灯塔,镜头缓慢推进,海浪轻拍礁石,海鸟叫声,电影级光影,稳定运镜"
}
'{
"id": "task_xxxxxxxxxxxxxxxx",
"task_id": "task_xxxxxxxxxxxxxxxx",
"object": "video",
"model": "veo-3.1-fast-generate-preview",
"status": "queued",
"progress": 0,
"created_at": 1775025000,
"completed_at": 1775025090
}Documentation Index
Fetch the complete documentation index at: https://docs.apiyi.com/llms.txt
Use this file to discover all available pages before exploring further.
Bearer sk-xxx),输入 prompt、选择 model / duration / metadata.resolution 后一键发送即可。默认分组 Default 即可调用,无需切换专属分组。input_reference、走 application/json 请求体。如需基于一张参考图生成视频(图生视频),请使用 图生视频接口(同一端点 + input_reference 文件上传)。duration 必须传字符串 "4" / "6" / "8",传数字会被服务端拒,报 parse_request_failed: cannot unmarshal number into Go struct field ... duration of type stringgenerateAudio 参数,上游会回 INVALID_ARGUMENT。音频效果(环境音、对白、BGM)直接写进 promptduration 必须 "8",传 "4" / "6" 会被上游拒POST /v1/videos → 返回 task_id + status: "queued"GET /v1/videos/{task_id} 轮询,直到 status: "completed"GET /v1/videos/{task_id}/content 下载 MP4 文件{/* OpenAI 官方 SDK 没有 videos.create 方法,/v1/videos 是自定义路径,需用底层 client.post() */}
from openai import OpenAI
import time
client = OpenAI(
api_key="sk-your-api-key",
base_url="https://api.apiyi.com/v1"
)
# 第 1 步:提交生成任务
resp = client.post(
"/videos",
body={
"model": "veo-3.1-fast-generate-preview",
"prompt": "黄昏海边的灯塔,镜头缓慢推进,海浪轻拍礁石,海鸟叫声,电影级光影,稳定运镜",
"duration": "8", # 必须字符串
"size": "1280x720",
"metadata": {
"resolution": "720p",
"aspectRatio": "16:9",
"seed": 20260521,
"negativePrompt": "blurry, watermark, distorted, low quality"
}
},
cast_to=dict
)
task_id = resp["task_id"]
print(f"Task ID: {task_id}, status: {resp['status']}")
# 第 2 步:轮询状态(最长等 3 分钟)
deadline = time.time() + 180
while time.time() < deadline:
status_resp = client.get(f"/videos/{task_id}", cast_to=dict)
print(f"Status: {status_resp['status']}, progress: {status_resp.get('progress', 0)}%")
if status_resp["status"] == "completed":
break
if status_resp["status"] == "failed":
raise RuntimeError(f"Generation failed: {status_resp}")
time.sleep(8)
# 第 3 步:下载视频(status 刚翻 completed 偶发 400,等几秒重试)
import urllib.request, urllib.error
for i in range(5):
try:
req = urllib.request.Request(
f"https://api.apiyi.com/v1/videos/{task_id}/content",
headers={"Authorization": "Bearer sk-your-api-key"}
)
with urllib.request.urlopen(req, timeout=180) as r, open("output.mp4", "wb") as f:
while chunk := r.read(1 << 16):
f.write(chunk)
break
except urllib.error.HTTPError as e:
if i == 4:
raise
time.sleep(4)
print("Saved: output.mp4")
import requests
import time
API_KEY = "sk-your-api-key"
BASE_URL = "https://api.apiyi.com/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 第 1 步:提交(JSON 请求体)
resp = requests.post(
f"{BASE_URL}/videos",
headers={**HEADERS, "Content-Type": "application/json"},
json={
"model": "veo-3.1-fast-generate-preview",
"prompt": "傍晚海边的灯塔,镜头缓慢推进,稳定运镜,海浪声、远处海鸟叫声",
"duration": "8", # ⚠️ 必须字符串
"size": "1280x720",
"metadata": {
"resolution": "720p",
"aspectRatio": "16:9"
}
},
timeout=30 # POST 提交本身只是入队,30 秒足够
).json()
task_id = resp["task_id"]
print(f"Task ID: {task_id}, status: {resp['status']}")
# 第 2 步:轮询(最长等 3 分钟,4K 用 10 分钟)
deadline = time.time() + 180
while time.time() < deadline:
status_resp = requests.get(f"{BASE_URL}/videos/{task_id}", headers=HEADERS).json()
print(f"Status: {status_resp['status']}, progress: {status_resp.get('progress', 0)}%")
if status_resp["status"] == "completed":
break
if status_resp["status"] == "failed":
raise RuntimeError(f"Generation failed: {status_resp}")
time.sleep(8)
# 第 3 步:下载(带 3 次重试兜底 status=completed 后的 CDN 同步延迟)
for i in range(5):
try:
with requests.get(
f"{BASE_URL}/videos/{task_id}/content",
headers=HEADERS, stream=True, timeout=180
) as r:
r.raise_for_status()
with open("output.mp4", "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
break
except requests.HTTPError:
if i == 4:
raise
time.sleep(4)
print("Saved: output.mp4")
{/* 第 1 步:提交任务(注意 duration 是字符串 "8",不是数字 8)*/}
RESP=$(curl -sS -X POST "https://api.apiyi.com/v1/videos" \
-H "Authorization: Bearer sk-your-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "veo-3.1-fast-generate-preview",
"prompt": "黄昏海边的灯塔,镜头缓慢推进,海浪声,电影级光影",
"duration": "8",
"size": "1280x720",
"metadata": {"resolution": "720p", "aspectRatio": "16:9"}
}')
TASK_ID=$(echo "$RESP" | python3 -c 'import sys,json;print(json.load(sys.stdin)["task_id"])')
echo "task_id=$TASK_ID"
{/* 第 2 步:轮询状态(每 8 秒)*/}
while :; do
S=$(curl -sS -H "Authorization: Bearer sk-your-api-key" "https://api.apiyi.com/v1/videos/$TASK_ID")
ST=$(echo "$S" | python3 -c 'import sys,json;print(json.load(sys.stdin)["status"])')
echo "status=$ST"
[ "$ST" = "completed" ] && break
[ "$ST" = "failed" ] && { echo "$S"; exit 1; }
sleep 8
done
{/* 第 3 步:下载视频文件(--retry 兜底 status 刚翻 completed 后的偶发 400)*/}
sleep 4
curl -sSL --retry 3 --retry-delay 4 \
-H "Authorization: Bearer sk-your-api-key" \
"https://api.apiyi.com/v1/videos/$TASK_ID/content" \
-o output.mp4
ls -lh output.mp4
import fs from 'node:fs';
const API_KEY = 'sk-your-api-key';
const BASE_URL = 'https://api.apiyi.com/v1';
// 第 1 步:提交
const submitResp = await fetch(`${BASE_URL}/videos`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify({
model: 'veo-3.1-fast-generate-preview',
prompt: '一只柯基犬在金色沙滩上奔跑,慢动作,黄昏时分,电影质感',
duration: '8', // ⚠️ 必须字符串
size: '1280x720',
metadata: {
resolution: '720p',
aspectRatio: '16:9'
}
})
});
const { task_id } = await submitResp.json();
console.log(`Task ID: ${task_id}`);
// 第 2 步:轮询
let status = 'queued';
while (status !== 'completed' && status !== 'failed') {
await new Promise(r => setTimeout(r, 8000));
const statusResp = await fetch(`${BASE_URL}/videos/${task_id}`, {
headers: { 'Authorization': `Bearer ${API_KEY}` }
});
const data = await statusResp.json();
status = data.status;
console.log(`Status: ${status}, progress: ${data.progress ?? 0}%`);
}
if (status === 'failed') throw new Error('Generation failed');
// 第 3 步:下载(最多重试 3 次,每次间隔 4 秒)
await new Promise(r => setTimeout(r, 4000));
let buffer;
for (let i = 0; i < 4; i++) {
try {
const contentResp = await fetch(`${BASE_URL}/videos/${task_id}/content`, {
headers: { 'Authorization': `Bearer ${API_KEY}` }
});
if (!contentResp.ok) throw new Error(`HTTP ${contentResp.status}`);
buffer = Buffer.from(await contentResp.arrayBuffer());
break;
} catch (e) {
if (i === 3) throw e;
await new Promise(r => setTimeout(r, 4000));
}
}
fs.writeFileSync('output.mp4', buffer);
console.log('Saved: output.mp4');
{/* 仅作演示,生产请走后端代理避免 Key 泄露;视频文件较大也不适合直接在浏览器下载 */}
const submitResp = await fetch('https://api.apiyi.com/v1/videos', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer sk-your-api-key'
},
body: JSON.stringify({
model: 'veo-3.1-fast-generate-preview',
prompt: '水彩风格的极光在雪山上空缓缓流动,柔和镜头',
duration: '4',
size: '720x1280',
metadata: { resolution: '720p', aspectRatio: '9:16' }
})
});
const { task_id } = await submitResp.json();
console.log('Task ID:', task_id);
{/* 轮询完成后,把 /content 端点交给后端代理下载,再回流给前端展示 */}
| 参数 | 类型 | 必填 | 默认 | 说明 |
|---|---|---|---|---|
model | string | 是 | — | veo-3.1-fast-generate-preview($0.3/次)或 veo-3.1-generate-preview($1.2/次) |
prompt | string | 是 | — | 视频描述提示词,建议详细描述场景、镜头运动、风格、光线、音频意图(不要传 generateAudio) |
duration | string | 否 | "8" | 视频时长,字符串枚举:"4" / "6" / "8"。1080p/4k 必须 "8" |
size | string | 否 | 1280x720 | 输出像素,如 1280x720 / 1920x1080 / 3840x2160,优先级低于 metadata.resolution |
metadata.resolution | string | 否 | 720p | 720p / 1080p / 4k,优先级高于 size |
metadata.aspectRatio | string | 否 | 16:9 | 16:9(横屏)或 9:16(竖屏) |
metadata.seed | int | 否 | — | 随机数种子,固定 seed 可让多次输出风格聚集(但不能字节级复现) |
metadata.negativePrompt | string | 否 | — | 反向提示词,推荐传 "blurry, watermark, distorted, low quality" |
generateAudio 字段!Veo 3.1 原生带音轨,传该参数会被上游回 INVALID_ARGUMENT。要控制音频,把意图写进 prompt:"海浪声、远处海鸟叫声、低沉的风声"。metadata.durationSeconds > duration > seconds > 8metadata.resolution > size > 720pmetadata.aspectRatio > 由 size 推导 > 16:9{
"id": "task_xxxxxxxxxxxxxxxx",
"task_id": "task_xxxxxxxxxxxxxxxx",
"object": "video",
"model": "veo-3.1-fast-generate-preview",
"status": "queued",
"progress": 0,
"created_at": 1775025000
}
{
"id": "task_xxxxxxxxxxxxxxxx",
"task_id": "task_xxxxxxxxxxxxxxxx",
"object": "video",
"model": "veo-3.1-fast-generate-preview",
"status": "in_progress",
"progress": 50,
"created_at": 1775025000
}
{
"id": "task_xxxxxxxxxxxxxxxx",
"task_id": "task_xxxxxxxxxxxxxxxx",
"object": "video",
"model": "veo-3.1-fast-generate-preview",
"status": "completed",
"progress": 100,
"created_at": 1775025000,
"completed_at": 1775025090
}
id 和 task_id 字段同时返回且值一致,下游建议统一用 task_id(与既有 VEO 官逆兼容)video_url / data.url,视频只能通过 GET /v1/videos/{task_id}/content 拉取 MP4 二进制流(需鉴权头)。前端不能直连此端点,建议后端下载后落地到自己的 OSS / CDN 再分发progress 字段是粗粒度,只在 0 / 50 / 100 三档跳,不要拿来做百分比进度条status: "failed" 时上游有时不带详细 error 字段,多见于内容审核或参数错误,直接重试或调整 prompt 即可/content 端点在 status 刚翻 completed 后偶发 400,等 4 秒重试即可(上面所有代码示例都内置了重试)completed 时按模型名按次结算(fast $0.3 / standard $1.2,见 概览页定价表)。POST 提交、轮询查询、视频下载本身不计费,失败任务也不计费。在 API易控制台获取的 API Key(默认分组 + 任意计费模式都能调通)
模型 ID(按次计费,时长 / 分辨率不影响单价):
veo-3.1-fast-generate-preview —— $0.3/次,试水 / 批量出片首选veo-3.1-generate-preview —— $1.2/次,最终交付 / 4K 高清场景veo-3.1-fast-generate-preview, veo-3.1-generate-preview 视频生成提示词,建议详细描述:场景 + 主体 + 动作 + 镜头 + 光影 + 风格。
音频意图也写进 prompt(如 "海浪声、远处海鸟叫声、低沉的风声"),不要传 generateAudio 参数——上游会拒 INVALID_ARGUMENT。
"黄昏海边的灯塔,镜头缓慢推进,海浪轻拍礁石,海鸟叫声,电影级光影,稳定运镜"
视频时长,字符串枚举(不是数字):
"4" —— 4 秒,720p 可用"6" —— 6 秒,720p 可用"8" —— 8 秒(默认),1080p / 4k 必须用这档传数字(8)会报 parse_request_failed: cannot unmarshal number into Go struct field ... duration of type string。
4, 6, 8 输出像素,优先级低于 metadata.resolution:
1280x720 / 720x1280 —— 720p(默认)1920x1080 / 1080x1920 —— 1080p(duration 必须 "8")3840x2160 / 2160x3840 —— 4k(duration 必须 "8",渲染慢 4–6 倍)1280x720, 720x1280, 1920x1080, 1080x1920, 3840x2160, 2160x3840 生成参数细节包装对象。优先级高于顶层的 size 等字段:
metadata.durationSeconds > duration > seconds > 8metadata.resolution > size > 720pShow child attributes
任务已提交,返回 task_id 与 queued 状态
任务 ID(与 task_id 同值,下游建议统一用 task_id)
"task_xxxxxxxxxxxxxxxx"
任务 ID,用于后续轮询和下载
"task_xxxxxxxxxxxxxxxx"
对象类型,固定 video
"video"
本次任务使用的模型 ID
"veo-3.1-fast-generate-preview"
任务状态:
queued —— 已提交,排队等待in_progress —— 正在生成completed —— 完成,可下载(/v1/videos/{task_id}/content)failed —— 失败(不计费),可重试queued, in_progress, completed, failed "queued"
生成进度(粗粒度,只在 0 / 50 / 100 三档跳,不要拿来做百分比进度条)
0
任务创建 Unix 时间戳(秒)
1775025000
任务完成 Unix 时间戳(秒),仅 completed 状态返回
1775025090
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