AI 视频生成 API

import json
import os
import requests

response = requests.post(
    "https://runapi.ai/api/v1/gemini_omni/text_to_video",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json=json.loads("{\"model\":\"gemini-omni-flash-1-1\",\"prompt\":\"A presenter walks through a bright studio.\",\"duration_seconds\":4}")
)
response.raise_for_status()
print(response.json())

const response = await fetch("https://runapi.ai/api/v1/gemini_omni/text_to_video", {
  method: "POST",
  headers: {
    "Authorization": "Bearer " + process.env.RUNAPI_API_KEY,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({"model":"gemini-omni-flash-1-1","prompt":"A presenter walks through a bright studio.","duration_seconds":4})
});
console.log(await response.json());

curl https://runapi.ai/api/v1/gemini_omni/text_to_video \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gemini-omni-flash-1-1","prompt":"A presenter walks through a bright studio.","duration_seconds":4}'

package main

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

func main() {
    payload := strings.NewReader("{\"model\":\"gemini-omni-flash-1-1\",\"prompt\":\"A presenter walks through a bright studio.\",\"duration_seconds\":4}")
    request, err := http.NewRequest("POST", "https://runapi.ai/api/v1/gemini_omni/text_to_video", payload)
    if err != nil { panic(err) }
    request.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
    request.Header.Set("Content-Type", "application/json")
    response, err := http.DefaultClient.Do(request)
    if err != nil { panic(err) }
    defer response.Body.Close()
    io.Copy(os.Stdout, response.Body)
}