🔥Midjourney Video API
Midjourney视频生成API,Midjourney官方发布的最新视频模型。
生成视频
POST
https://api.ttapi.io/midjourney/video/submit
根据图像与描述词生成四个视频,该接口与midjourney生成图像接口交互方式一致,为异步任务。
Headers
TT-API-KEY
用于请求授权 TT-API 的API密钥
Content-Type
application-json
Body
prompt
string
是
用于生成视频的提示词
imageUrl
string
是
视频起始帧图片地址,必须是可以网络访问的图片地址
mode
string
否
生成视频的速率模式,目前只支持fast模式,可选值范围:fast
manual
string
否
视频模式
可选值 low
低运动 high
高运动
默认为low
请求示例
import requests
endpoint = "https://api.ttapi.io/midjourney/video/submit"
headers = {
"TT-API-KEY": your_key
}
data = {
"prompt": "hyperrealistic album cover: Black sacral Ocean. Sunken prayer canoe. Ghost Canoe Horizon",
"imageUrl": "https://unlimbot.hb.ru-msk.vkcloud-storage.ru/AQADJvYxG8ZHiEt-.jpeg",
"mode": "fast",
"manual": "high",
"hookUrl": "https://webhook-test.com/1cb411db3bc4bfa7729c7df3ca2c1a5e"
}
response = requests.post(endpoint, headers=headers, json=data)
print(response.status_code)
print(response.json())
响应示例
{
"status": "SUCCESS",
"message": "success",
"data": {
"jobId": "943583cb-08f4-4077-ad1e-f1bfc6c1191a"
}
}
视频延伸
POST
https://api.ttapi.io/midjourney/video/extend
根据上一条视频结果延伸生成四个视频 该接口与midjourney生成图像接口交互方式一致,为异步任务。
Headers
TT-API-KEY
用于请求授权 TT-API 的API密钥
Content-Type
application-json
Body
jobId
string
是
上一条任务的jobId,注意上一条任务必须为完成状态才能进行视频延续
index
int
是
选择延续的视频
在上一条任务重的四个视频中选择一个延续
0代表第一个,1代表第二个,以此类推
可选值范围0-3
manual
string
否
视频模式
可选值 low
低运动 high
高运动
默认为low
animateMode
string
否
动画模式
可选 auto
、manual
默认为auto
请求示例
import requests
endpoint = "https://api.ttapi.io/midjourney/video/extend"
headers = {
"TT-API-KEY": your_key
}
data = {
"jobId": "9fd71109-f508-4f0e-a26c-d776d6b38b58",
"index": 0
}
response = requests.post(endpoint, headers=headers, json=data)
print(response.status_code)
print(response.json())
响应示例
{
"status": "SUCCESS",
"message": "success",
"data": {
"jobId": "943583cb-08f4-4077-ad1e-f1bfc6c1191a"
}
}
获取任务状态 - fetch
GET
https://api.ttapi.io/midjourney/video/fetch
查询任务结果,该接口不消耗quota,免费使用
Headers
TT-API-KEY
用于请求授权 TT-API 的API密钥
Content-Type
application-json
Query参数
jobId
string
是
生成接口同步返回的jobId
请求示例
import requests
endpoint = "https://api.ttapi.io/midjourney/video/fetch"
headers = {
"TT-API-KEY": your_key
}
data = {
"jobId": "afa774a3-1aee-5aba-4510-14818d6875e4"
}
response = requests.post(endpoint, headers=headers, json=data)
print(response.status_code)
print(response.json())
响应示例
返回结果与异步回调数据结构一致
异步回调 JSON 结构
{
"status": "SUCCESS",
"message": "success",
"jobId": "943583cb-08f4-4077-ad1e-f1bfc6c1191a",
"data": {
"action": "generate",
"jobId": "943583cb-08f4-4077-ad1e-f1bfc6c1191a",
"progress": "100",
"prompt": "hyperrealistic album cover: Black sacral Ocean. Sunken prayer canoe. Ghost Canoe Horizon",
"quota": "30",
"videos": [
"https://cdn.midjourney.com/video/780b1227-227a-418c-998e-3eb90eb4824a/0.mp4",
"https://cdn.midjourney.com/video/780b1227-227a-418c-998e-3eb90eb4824a/1.mp4",
"https://cdn.midjourney.com/video/780b1227-227a-418c-998e-3eb90eb4824a/2.mp4",
"https://cdn.midjourney.com/video/780b1227-227a-418c-998e-3eb90eb4824a/3.mp4"
],
"hookUrl": "https://webhook-test.com/1cb411db3bc4bfa7729c7df3ca2c1a5e"
}
}
返回JSON结构详解
status
PENDING_QUEUE //排队中
ON_QUEUE //执行中
SUCCESS //成功 FAILED //失败
videos
生成的视频文件,midjourney的官方cdn地址,注意:存在有效期,使用请自行转存
quota
实际消耗额度
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