Grok Imagine Video 系列

POST

tasks

curl --request POST \
  --url https://www.qingbo.dev/v1/tasks \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "action": "<string>",
  "prompt": "<string>",
  "aspect_ratio": "<string>",
  "resolution": "<string>",
  "duration": 123,
  "image_urls": [
    "<string>"
  ],
  "callback_url": "<string>",
  "callback_events": [
    "<string>"
  ]
}
'

import requests

url = "https://www.qingbo.dev/v1/tasks"

payload = {
    "model": "<string>",
    "action": "<string>",
    "prompt": "<string>",
    "aspect_ratio": "<string>",
    "resolution": "<string>",
    "duration": 123,
    "image_urls": ["<string>"],
    "callback_url": "<string>",
    "callback_events": ["<string>"]
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    action: '<string>',
    prompt: '<string>',
    aspect_ratio: '<string>',
    resolution: '<string>',
    duration: 123,
    image_urls: ['<string>'],
    callback_url: '<string>',
    callback_events: ['<string>']
  })
};

fetch('https://www.qingbo.dev/v1/tasks', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.qingbo.dev/v1/tasks"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"duration\": 123,\n  \"image_urls\": [\n    \"<string>\"\n  ],\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ]\n}")

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

	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://www.qingbo.dev/v1/tasks")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"duration\": 123,\n  \"image_urls\": [\n    \"<string>\"\n  ],\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ]\n}")
  .asString();

{
  "task_id": "task-wave1775285160b950328499",
  "model": "grok-imagine-1.0-video",
  "action": "generate",
  "status": "queued",
  "created_at": 1775285160040,
  "progress": 0
}

xAI Grok Imagine 视频生成模型,Grok 多模态家族中的视频档。 两档可选 — grok-imagine-1.0-video(1.0 基础档)、grok-imagine-1.5-video(1.5 升级档)。两档能力一致:文生视频(T2V)/ 图生视频(I2V),480p / 720p,6-30 秒任意整数。字段简洁、参数门槛低,适合社交媒体短视频、快速概念演示、低成本内容生产线。

Grok Imagine 系列分图像档与视频档两条线。图像生成请见 Grok Imagine 图像;本页只覆盖视频档。

定价

按视频时长计费,全分辨率统一单价:$0.007875 / 秒(两档同价)。实际费用 = $0.007875 × duration。

时长	单次费用
6 秒	`$0.04725`
10 秒	`$0.07875`
30 秒(上限)	`$0.23625`

调用示例

curl -X POST https://www.qingbo.dev/v1/tasks \
  -H "Authorization: Bearer $WAVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-1.0-video",
    "prompt": "霓虹灯下的雨夜街道,赛博朋克氛围,镜头缓慢推进",
    "duration": 6,
    "aspect_ratio": "16:9",
    "resolution": "480p"
  }'

curl -X POST https://www.qingbo.dev/v1/tasks \
  -H "Authorization: Bearer $WAVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-1.0-video",
    "prompt": "人物缓缓转头看向镜头",
    "image_urls": ["https://cdn.example.com/portrait.jpg"],
    "duration": 10,
    "resolution": "720p"
  }'

curl -X POST https://www.qingbo.dev/v1/tasks \
  -H "Authorization: Bearer $WAVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-1.0-video",
    "prompt": "保持角色一致,在森林中奔跑",
    "image_urls": [
      "https://cdn.example.com/ref-1.jpg",
      "https://cdn.example.com/ref-2.jpg",
      "https://cdn.example.com/ref-3.jpg",
      "https://cdn.example.com/ref-4.jpg",
      "https://cdn.example.com/ref-5.jpg",
      "https://cdn.example.com/ref-6.jpg",
      "https://cdn.example.com/ref-7.jpg"
    ],
    "duration": 8,
    "resolution": "720p"
  }'

curl -X POST https://www.qingbo.dev/v1/tasks \
  -H "Authorization: Bearer $WAVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-1.5-video",
    "prompt": "极光下的雪原,镜头缓慢横移",
    "duration": 10,
    "aspect_ratio": "16:9",
    "resolution": "720p"
  }'

{
  "task_id": "task-wave1775285160b950328499",
  "model": "grok-imagine-1.0-video",
  "action": "generate",
  "status": "queued",
  "created_at": 1775285160040,
  "progress": 0
}

提交后用 GET /v1/tasks/{task_id} 轮询状态,详见任务系统。

可用模型

模型 ID	分辨率	时长(秒)	Actions	说明
`grok-imagine-1.0-video`	480p / 720p	6-30	generate	基础档,T2V / I2V
`grok-imagine-1.5-video`	480p / 720p	6-30	generate	升级档,T2V / I2V,与 1.0 同价

通用参数

model

string

必填

模型 ID,可选值:

grok-imagine-1.0-video
grok-imagine-1.5-video

action

string

默认值:"generate"

操作类型,固定为 generate。传入 image_urls 即自动走 图生视频(I2V),否则为文生视频(T2V)

prompt

string

必填

视频描述文本。T2V 模式必填;I2V 模式可作为运动 / 风格引导

aspect_ratio

string

默认值:"16:9"

画面宽高比,仅 T2V 生效;I2V 模式自动跟随参考图比例。可选值:

16:9 — 横版宽屏
9:16 — 竖版长屏
1:1 — 正方形

resolution

string

默认值:"480p"

输出分辨率,可选值:

480p
720p

duration

integer

默认值:"6"

视频时长(秒),范围 6-30 任意整数。注意:30 秒为上限,跟其他常见 video model(多为 5/10/15)不同

image_urls

string[]

参考图片 URL 数组,最多 7 张。传入即触发 I2V 模式,系统会自动匹配参考图的宽高比

callback_url

string

Webhook 回调地址,任务终态时调用。详见回调机制

callback_events

string[]

回调事件订阅列表,默认仅终态推送

注意事项

图生模式比例自动匹配 — 传入 image_urls 后,aspect_ratio 字段会被忽略,输出比例跟随首张参考图。
duration 范围特殊 — 6-30 秒,跟仓内多数 video model(5/10/15 三档)不同,业务侧表单做枚举校验时记得放开整段区间。
可用性受配额影响 — xAI / Grok 配额可能波动,建议生产环境配 callback_url 异步推送、不要纯轮询。

资源限制

项目	限制
参考图片	最多 7 张,JPG/PNG/WEBP
时长	6-30 秒
分辨率	480p / 720p
输出	MP4,链接 24 小时有效

相关文档

Grok Imagine 图像档 — 同系列图像生成
任务系统详解 — 任务状态机 / 轮询节奏 / 异步推送
请求响应格式 — 通用错误码 / Headers / 限流
认证 — API Key 申请与使用

Sora 2 系列OpenAI Sora 2 — 文生 / 图生视频,物理一致性强,原生音画同步,Pro 档支持 1080P

Grok Imagine Video 系列

curl --request POST \
  --url https://www.qingbo.dev/v1/tasks \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "action": "<string>",
  "prompt": "<string>",
  "aspect_ratio": "<string>",
  "resolution": "<string>",
  "duration": 123,
  "image_urls": [
    "<string>"
  ],
  "callback_url": "<string>",
  "callback_events": [
    "<string>"
  ]
}
'

import requests

url = "https://www.qingbo.dev/v1/tasks"

payload = {
    "model": "<string>",
    "action": "<string>",
    "prompt": "<string>",
    "aspect_ratio": "<string>",
    "resolution": "<string>",
    "duration": 123,
    "image_urls": ["<string>"],
    "callback_url": "<string>",
    "callback_events": ["<string>"]
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    action: '<string>',
    prompt: '<string>',
    aspect_ratio: '<string>',
    resolution: '<string>',
    duration: 123,
    image_urls: ['<string>'],
    callback_url: '<string>',
    callback_events: ['<string>']
  })
};

fetch('https://www.qingbo.dev/v1/tasks', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.qingbo.dev/v1/tasks"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"duration\": 123,\n  \"image_urls\": [\n    \"<string>\"\n  ],\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ]\n}")

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

	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://www.qingbo.dev/v1/tasks")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"duration\": 123,\n  \"image_urls\": [\n    \"<string>\"\n  ],\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ]\n}")
  .asString();

{
  "task_id": "task-wave1775285160b950328499",
  "model": "grok-imagine-1.0-video",
  "action": "generate",
  "status": "queued",
  "created_at": 1775285160040,
  "progress": 0
}

​定价

​调用示例

​可用模型

​通用参数

​注意事项

​资源限制

​相关文档

定价

调用示例

可用模型

通用参数

注意事项

资源限制

相关文档