Gemini Omni Flash 视频生成

• Google 官方 Gemini Omni Flash 全能多模态视频生成模型
• 支持文生视频、图生视频、视频生视频（编辑），可混合文本 + 图片 + 视频输入
• 输出 720p / 24fps、3–10 秒、含音频；支持对话式多轮编辑
• 异步任务接口，提交后通过任务 ID 查询生成结果

请求示例

bash curl --request POST \ --url https://api.openveer.com/v1/videos/generations \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "gemini-omni-flash-preview", "prompt": "a red apple on a wooden table, short cinematic clip", "aspect_ratio": "16:9" }'

```python
import requests

url = "https://api.openveer.com/v1/videos/generations"

payload = {
"model": "gemini-omni-flash-preview",
"prompt": "a red apple on a wooden table, short cinematic clip",
"aspect_ratio": "16:9"
}

headers = {
"Authorization": "Bearer ",
"Content-Type": "application/json"
}

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

print(response.json())
```

```javascript
const url = "https://api.openveer.com/v1/videos/generations";

const payload = {
model: "gemini-omni-flash-preview",
prompt: "a red apple on a wooden table, short cinematic clip",
aspect_ratio: "16:9"
};

const headers = {
"Authorization": "Bearer ",
"Content-Type": "application/json"
};

fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error("Error:", error));
```

```go
package main

import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)

func main() {
url := "https://api.openveer.com/v1/videos/generations"

  payload := map[string]interface{}{
      "model":        "gemini-omni-flash-preview",
      "prompt":       "a red apple on a wooden table, short cinematic clip",
      "aspect_ratio": "16:9",
  }

  jsonData, _ := json.Marshal(payload)

  req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
  req.Header.Set("Authorization", "Bearer <token>")
  req.Header.Set("Content-Type", "application/json")

  client := &http.Client{}
  resp, err := client.Do(req)
  if err != nil {
      panic(err)
  }
  defer resp.Body.Close()

  body, _ := ioutil.ReadAll(resp.Body)
  fmt.Println(string(body))

}
```

响应示例

json { "code": 200, "data": [ { "status": "submitted", "task_id": "task_01KS1H7ZYSJWH1N779S2FSHTKA" } ] }

json { "error": { "code": 400, "message": "请求参数无效", "type": "invalid_request_error" } }

json { "error": { "code": 401, "message": "身份验证失败，请检查您的API密钥", "type": "authentication_error" } }

json { "error": { "code": 402, "message": "账户余额不足，请充值后再试", "type": "payment_required" } }

json { "error": { "code": 429, "message": "请求过于频繁，请稍后再试", "type": "rate_limit_error" } }

认证

请求参数

响应

查询任务结果

视频生成为异步任务。提交后会返回 task_id，使用 获取任务状态 接口查询生成进度和结果。

成功结果示例

{
  "code": 200,
  "data": {
    "id": "task_01KS1H7ZYSJWH1N779S2FSHTKA",
    "status": "completed",
    "progress": 100,
    "created": 1779246294,
    "completed": 1779246334,
    "actual_time": 40,
    "estimated_time": 60,
    "cost": 1.0,
    "credits_cost": 10,
    "result": {
      "videos": [
        {
          "url": ["https://cdn.example.com/gemini_omni_xxx.mp4"],
          "expires_at": 1779332760
        }
      ]
    }
  }
}

使用场景

场景 1：文生视频

{
  "model": "gemini-omni-flash-preview",
  "prompt": "a blue butterfly landing on a flower, macro, soft light",
  "aspect_ratio": "9:16"
}

场景 2：图生视频

{
  "model": "gemini-omni-flash-preview",
  "prompt": "turn this drawing into realistic footage, use it only as a motion guide",
  "image_urls": ["https://example.com/sketch.jpg"]
}

场景 3：视频生视频

{
  "model": "gemini-omni-flash-preview",
  "prompt": "when the person touches the mirror, make it ripple like liquid",
  "video_urls": ["https://example.com/clip.mp4"]
}