Text-to-video: create a video generation task from a text prompt
curl --request POST \
--url https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--header 'X-DashScope-Async: <x-dashscope-async>' \
--data '
{
"model": "wan2.7-t2v",
"input": {
"prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work"
}
}
'import requests
url = "https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis"
payload = {
"model": "wan2.7-t2v",
"input": { "prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work" }
}
headers = {
"X-DashScope-Async": "<x-dashscope-async>",
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {
'X-DashScope-Async': '<x-dashscope-async>',
Authorization: 'Bearer <token>',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'wan2.7-t2v',
input: {
prompt: 'A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work'
}
})
};
fetch('https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis', 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.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis",
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' => 'wan2.7-t2v',
'input' => [
'prompt' => 'A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json",
"X-DashScope-Async: <x-dashscope-async>"
],
]);
$response = curl_exec($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.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis"
payload := strings.NewReader("{\n \"model\": \"wan2.7-t2v\",\n \"input\": {\n \"prompt\": \"A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-DashScope-Async", "<x-dashscope-async>")
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.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis")
.header("X-DashScope-Async", "<x-dashscope-async>")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"wan2.7-t2v\",\n \"input\": {\n \"prompt\": \"A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-DashScope-Async"] = '<x-dashscope-async>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"wan2.7-t2v\",\n \"input\": {\n \"prompt\": \"A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work\"\n }\n}"
response = http.request(request)
puts response.read_body{
"output": {
"task_id": "c2e7570c-0af2-4eba-919f-3af3d1164a38",
"task_status": "PENDING"
},
"request_id": "a23b81b0-0c05-9972-a6c9-ee757400afdb"
}Wan2.7 동영상 생성 (Alibaba)
Wan2.7 텍스트-투-비디오 API 레퍼런스
Wan2.7-t2v 텍스트-투-비디오 API 레퍼런스 및 라이브 플레이그라운드: DashScope 비동기 패스스루 엔드포인트를 통해 순수 텍스트 prompt로 2-15초 길이의 비디오를 생성합니다.
POST
/
wan
/
api
/
v1
/
services
/
aigc
/
video-generation
/
video-synthesis
Text-to-video: create a video generation task from a text prompt
curl --request POST \
--url https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--header 'X-DashScope-Async: <x-dashscope-async>' \
--data '
{
"model": "wan2.7-t2v",
"input": {
"prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work"
}
}
'import requests
url = "https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis"
payload = {
"model": "wan2.7-t2v",
"input": { "prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work" }
}
headers = {
"X-DashScope-Async": "<x-dashscope-async>",
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {
'X-DashScope-Async': '<x-dashscope-async>',
Authorization: 'Bearer <token>',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'wan2.7-t2v',
input: {
prompt: 'A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work'
}
})
};
fetch('https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis', 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.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis",
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' => 'wan2.7-t2v',
'input' => [
'prompt' => 'A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json",
"X-DashScope-Async: <x-dashscope-async>"
],
]);
$response = curl_exec($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.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis"
payload := strings.NewReader("{\n \"model\": \"wan2.7-t2v\",\n \"input\": {\n \"prompt\": \"A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-DashScope-Async", "<x-dashscope-async>")
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.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis")
.header("X-DashScope-Async", "<x-dashscope-async>")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"wan2.7-t2v\",\n \"input\": {\n \"prompt\": \"A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-DashScope-Async"] = '<x-dashscope-async>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"wan2.7-t2v\",\n \"input\": {\n \"prompt\": \"A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work\"\n }\n}"
response = http.request(request)
puts response.read_body{
"output": {
"task_id": "c2e7570c-0af2-4eba-919f-3af3d1164a38",
"task_status": "PENDING"
},
"request_id": "a23b81b0-0c05-9972-a6c9-ee757400afdb"
}오른쪽의 Playground에서는 직접 디버깅할 수 있습니다.
Bearer sk-your-api-key를 Authorization에 넣고, model / input / parameters를 입력한 뒤 요청을 전송하십시오. 성공적으로 제출하면 task_id가 반환됩니다. 폴링과 다운로드는 아래를 참조하십시오.이 페이지는
wan2.7-t2v(텍스트-투-비디오)의 생성 엔드포인트입니다. 필요한 것은 텍스트 prompt뿐이며, 미디어는 필요하지 않습니다. 이미지를 움직이게 하거나 주제 특징을 유지하려면 대신 이미지-투-비디오 / 레퍼런스-투-비디오를 사용하십시오. 전체 비동기 흐름, 상태 표, Python 클라이언트는 Wan 개요를 참조하십시오.- 생성 요청은 헤더
X-DashScope-Async: enable와 함께/wan/api/v1/services/aigc/video-generation/video-synthesis로 보내야 합니다./v1/videos를 사용하지 마십시오. duration은 정수여야 하며(5,"5"가 아님),resolution는 대문자로 작성해야 합니다(720P).
코드 예제
curl -X POST "https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis" \
-H "X-DashScope-Async: enable" \
-H "Authorization: Bearer sk-your-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "wan2.7-t2v",
"input": {
"prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling, cinematic lighting, steady camera work"
},
"parameters": {
"resolution": "720P",
"duration": 5,
"prompt_extend": true,
"watermark": true
}
}'
import requests
url = "https://api.apiyi.com/wan/api/v1/services/aigc/video-generation/video-synthesis"
headers = {
"Authorization": "Bearer sk-your-api-key",
"Content-Type": "application/json",
"X-DashScope-Async": "enable", # required when creating a task
}
body = {
"model": "wan2.7-t2v",
"input": {"prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks, seabirds calling"},
"parameters": {"resolution": "720P", "duration": 5, "prompt_extend": True, "watermark": True},
}
resp = requests.post(url, json=body, headers=headers, timeout=30)
task_id = resp.json()["output"]["task_id"]
print("task_id:", task_id) # then poll /v1/tasks/{task_id}
import json, urllib.request
BASE, KEY = "https://api.apiyi.com", "sk-your-api-key"
body = {
"model": "wan2.7-t2v",
"input": {"prompt": "A lighthouse on the seashore at dusk, the camera slowly pushing in, waves gently lapping the rocks"},
"parameters": {"resolution": "720P", "duration": 5, "prompt_extend": True},
}
req = urllib.request.Request(
BASE + "/wan/api/v1/services/aigc/video-generation/video-synthesis",
data=json.dumps(body).encode(),
headers={"Authorization": f"Bearer {KEY}", "Content-Type": "application/json",
"X-DashScope-Async": "enable"},
method="POST",
)
print(json.loads(urllib.request.urlopen(req).read())["output"]["task_id"])
매개변수 빠른 참조
| 매개변수 | 유형 | 필수 | 기본값 | 비고 |
|---|---|---|---|---|
model | string | ✓ | — | 고정 wan2.7-t2v |
input.prompt | string | ✓ | — | 텍스트 prompt; 장면, 카메라 움직임, 조명, 스타일을 설명합니다 |
input.negative_prompt | string | — | 네거티브 prompt, ≤500자 | |
parameters.resolution | string | 720P | 720P / 1080P (대문자) | |
parameters.ratio | string | 16:9 | 16:9 / 9:16 / 1:1 / 4:3 / 3:4 | |
parameters.duration | int | 5 | 2-15초 정수 | |
parameters.prompt_extend | bool | true | 스마트 재작성, 켜기를 권장합니다 | |
parameters.watermark | bool | false | 오른쪽 아래 모서리에 “AI generated” 워터마크 | |
parameters.seed | int | random | 0-2147483647, 재현성을 위해 고정합니다 |
응답 형식
생성에 성공하면task_id를 반환합니다 (동영상 자체는 아님):
{
"output": { "task_id": "c2e7570c-0af2-4eba-919f-3af3d1164a38", "task_status": "PENDING" },
"request_id": "a23b81b0-0c05-9972-a6c9-ee757400afdb"
}
상태 확인 및 다운로드
task_id를 받으면 mp4를 상태 확인하고 다운로드하기 위해 다음 세 단계를 따르십시오.
- 폴링:
GET /v1/tasks/{task_id}(Authorization포함; 쿼리에는X-DashScope-Async헤더가 필요하지 않습니다), 5~10초마다(3초 미만은 아님)status가completed가 될 때까지 반복하십시오. - 상태 값:
submitted(대기 중) /in_progress(생성 중;progress가 30%에 멈춰 있는 경우가 흔하며 이는 정상입니다) /completed(성공) /failed(error확인). - 다운로드: 응답에서
result_url를 직접 GET 하며,Authorization헤더 없이 수행하십시오(이것은 OSS 서명된 직접 링크입니다. Auth를 보내면 403이 반환됩니다);result_url는 기본적으로 24시간 후 만료되므로 즉시 저장하십시오.
curl "https://api.apiyi.com/v1/tasks/c2e7570c-0af2-4eba-919f-3af3d1164a38" \
-H "Authorization: Bearer sk-your-api-key"
{
"status": "completed",
"progress": 100,
"result_url": "https://dashscope-result-xxx.oss-cn-beijing.aliyuncs.com/xxx.mp4?Expires=...&Signature=...",
"task_id": "c2e7570c-0af2-4eba-919f-3af3d1164a38"
}
# result_url is an OSS signed direct link — do NOT send the Authorization header (it returns 403)
curl -L -o out.mp4 "https://dashscope-result-xxx.oss-cn-beijing.aliyuncs.com/xxx.mp4?Expires=...&Signature=..."
TASK_ID="c2e7570c-0af2-4eba-919f-3af3d1164a38"
URL=$(curl -s "https://api.apiyi.com/v1/tasks/$TASK_ID" \
-H "Authorization: Bearer sk-your-api-key" | jq -r '.result_url')
curl -L -o out.mp4 "$URL" # no Authorization
위 내용은 “task_id가 이미 있는 경우”를 위한 빠른 확인/다운로드 경로입니다. 전체 폴링 루프(타임아웃 대체 동작 포함)와 Python 클라이언트는 Wan 개요 · 비동기 호출 흐름을 참조하십시오.
인증
The API Key obtained from the APIYI console
헤더
Async processing switch; must be set to enable, otherwise it returns current user api does not support synchronous calls
사용 가능한 옵션:
enable 본문
application/json
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