Runwayml-Gen3a_turbo-5 - Generate Task

POST

runway

pro

generate

official-format (generate task)

curl --request POST \
  --url https://api.example.com/runway/v1/pro/generate

import requests

url = "https://api.example.com/runway/v1/pro/generate"

response = requests.post(url)

print(response.text)

const options = {method: 'POST'};

fetch('https://api.example.com/runway/v1/pro/generate', 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.example.com/runway/v1/pro/generate",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.example.com/runway/v1/pro/generate"

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

	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.example.com/runway/v1/pro/generate")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/runway/v1/pro/generate")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)

response = http.request(request)
puts response.read_body

Runway’s generate task.mdx for the generate task API.

curl -X POST "https://gptproto.com/runway/v1/pro/generate" \
  -H "Authorization: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "ratio": "16:9",
  "prompt": "a kitten",
  "style": "cinematic",
  "model": "runwayml-gen3a_turbo-5",
  "options": {
    "seconds": 10,
    "motion_vector": {
      "x": 0,
      "y": 0.3999999999999999,
      "z": 0,
      "r": -6,
      "bg_x_pan": 0,
      "bg_y_pan": 0
    }
  }
}'

import requests
import json

url = "https://gptproto.com/runway/v1/pro/generate"
headers = {
    "Authorization": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

data = {
  "ratio": "16:9",
  "prompt": "a kitten",
  "style": "cinematic",
  "model": "runwayml-gen3a_turbo-5",
  "options": {
    "seconds": 10,
    "motion_vector": {
      "x": 0,
      "y": 0.3999999999999999,
      "z": 0,
      "r": -6,
      "bg_x_pan": 0,
      "bg_y_pan": 0
    }
  }
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(json.dumps(result, indent=2))

const url = "https://gptproto.com/runway/v1/pro/generate";
const headers = {
  "Authorization": "YOUR_API_KEY",
  "Content-Type": "application/json"
};

const data = {
  "ratio": "16:9",
  "prompt": "a kitten",
  "style": "cinematic",
  "model": "runwayml-gen3a_turbo-5",
  "options": {
    "seconds": 10,
    "motion_vector": {
      "x": 0,
      "y": 0.3999999999999999,
      "z": 0,
      "r": -6,
      "bg_x_pan": 0,
      "bg_y_pan": 0
    }
  }
};

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

package main

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

func main() {
    url := "https://gptproto.com/runway/v1/pro/generate"

    payload := []byte(`{
"ratio": "16:9",
"prompt": "a kitten",
"style": "cinematic",
"model": "runwayml-gen3a_turbo-5",
"options": {
"seconds": 10,
"motion_vector": {
"x": 0,
"y": 0.3999999999999999,
"z": 0,
"r": -6,
"bg_x_pan": 0,
"bg_y_pan": 0
}
}
}`)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
    req.Header.Set("Authorization", "YOUR_API_KEY")
    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))
}

{
  "error": {
    "message": "Invalid signature",
    "type": "401"
  }
}

{
  "error": {
    "message": "Insufficient balance",
    "type": "403"
  }
}

{
  "error": {
    "message": "Internal server error",
    "type": "500"
  }
}

{
  "error": {
    "message": "Input may not meet the guidelines. Please adjust and try again.",
    "type": "503"
  }
}

Parameters

Parameter	Type	Required	Default	Description
`ratio`	string	❌ No	`16:9`	Ratio parameter
`prompt`	string	✅ Yes	`a kitten`	Prompt parameter
`style`	string	❌ No	`cinematic`	Style parameter
`model`	string	✅ Yes	`runwayml-gen3a_turbo-5`	The model to use for the request
`options`	object	❌ No	`{"seconds": 10, "motion_vector": {"x": 0, "y": 0.3999999999999999, "z": 0, "r": -6, "bg_x_pan": 0, "bg_y_pan": 0}}`	Options parameter

Runwayml-Gen3a_turbo-5 - Act Two Emotion Migration

Runwayml-Gen3a_turbo-5 - Query Task

​Parameters

Parameters