Official Format
Runway Image To Video
Use DeerAPI to call the Runway Image To Video endpoint with request details, response details, examples, and an OpenAPI playground.
POST
/
runwayml
/
v1
/
image_to_video
cURL
curl https://api.deerapi.com/runwayml/v1/image_to_video \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $DEERAPI_KEY" \
-d '{
"promptImage": "https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg",
"seed": 1,
"model": "gen3a_turbo",
"promptText": "A calm camera move.",
"watermark": false,
"duration": 5,
"ratio": "1280:768"
}'import os
import requests
url = "https://api.deerapi.com/runwayml/v1/image_to_video"
headers = {
"Authorization": "Bearer " + os.environ["DEERAPI_KEY"],
"Content-Type": "application/json",
}
payload = {
"promptImage": "https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg",
"seed": 1,
"model": "gen3a_turbo",
"promptText": "A calm camera move.",
"watermark": false,
"duration": 5,
"ratio": "1280:768"
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())
const response = await fetch("https://api.deerapi.com/runwayml/v1/image_to_video", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.DEERAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"promptImage": "https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg",
"seed": 1,
"model": "gen3a_turbo",
"promptText": "A calm camera move.",
"watermark": false,
"duration": 5,
"ratio": "1280:768"
}),
});
console.log(await response.json());
<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.deerapi.com/runwayml/v1/image_to_video",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'promptImage' => 'https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg',
'model' => 'gen3a_turbo'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json",
"X-Runway-Version: <x-runway-version>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.deerapi.com/runwayml/v1/image_to_video"
payload := strings.NewReader("{\n \"promptImage\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"model\": \"gen3a_turbo\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Runway-Version", "<x-runway-version>")
req.Header.Add("Authorization", "Bearer <token>")
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://api.deerapi.com/runwayml/v1/image_to_video")
.header("X-Runway-Version", "<x-runway-version>")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"promptImage\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"model\": \"gen3a_turbo\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.deerapi.com/runwayml/v1/image_to_video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-Runway-Version"] = '<x-runway-version>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"promptImage\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"model\": \"gen3a_turbo\"\n}"
response = http.request(request)
puts response.read_body{
"id": "4534fbe1-effa-4a12-b401-02923dace753"
}Overview
Use this endpoint to call the Runway Image To Video workflow through DeerAPI. The API reference on this page shows the request schema, response schema, authentication requirements, and runnable examples for the configured endpoint.Before you start
Use the DeerAPI base URL and pass your API Key in theAuthorization header:
https://api.deerapi.com
Authorization: Bearer $DEERAPI_KEY
Model selection
Choose a current model ID from the live pricing page. Model availability changes over time, so avoid copying a model ID from an old project without checking the live list first.Implementation notes
- Use the OpenAPI playground for the exact request fields accepted by this endpoint.
- Keep API Keys on the server side when you build production applications.
- Log the request ID from failed calls so support can investigate the request.
- Retry
429,500, and503responses with exponential backoff.
Authorizations
Use a DeerAPI API Key as a Bearer token.
Headers
Use this field according to the endpoint schema.
Body
application/json
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
Available options:
1280:720, 720:1280, 1104:832, 832:1104, 960:960, 1584:672, 1280:768, 768:1280 Response
200 - application/json
Use this field according to the endpoint schema.
Use this field according to the endpoint schema.
⌘I
cURL
curl https://api.deerapi.com/runwayml/v1/image_to_video \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $DEERAPI_KEY" \
-d '{
"promptImage": "https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg",
"seed": 1,
"model": "gen3a_turbo",
"promptText": "A calm camera move.",
"watermark": false,
"duration": 5,
"ratio": "1280:768"
}'import os
import requests
url = "https://api.deerapi.com/runwayml/v1/image_to_video"
headers = {
"Authorization": "Bearer " + os.environ["DEERAPI_KEY"],
"Content-Type": "application/json",
}
payload = {
"promptImage": "https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg",
"seed": 1,
"model": "gen3a_turbo",
"promptText": "A calm camera move.",
"watermark": false,
"duration": 5,
"ratio": "1280:768"
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())
const response = await fetch("https://api.deerapi.com/runwayml/v1/image_to_video", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.DEERAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"promptImage": "https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg",
"seed": 1,
"model": "gen3a_turbo",
"promptText": "A calm camera move.",
"watermark": false,
"duration": 5,
"ratio": "1280:768"
}),
});
console.log(await response.json());
<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.deerapi.com/runwayml/v1/image_to_video",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'promptImage' => 'https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg',
'model' => 'gen3a_turbo'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json",
"X-Runway-Version: <x-runway-version>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.deerapi.com/runwayml/v1/image_to_video"
payload := strings.NewReader("{\n \"promptImage\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"model\": \"gen3a_turbo\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Runway-Version", "<x-runway-version>")
req.Header.Add("Authorization", "Bearer <token>")
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://api.deerapi.com/runwayml/v1/image_to_video")
.header("X-Runway-Version", "<x-runway-version>")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"promptImage\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"model\": \"gen3a_turbo\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.deerapi.com/runwayml/v1/image_to_video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-Runway-Version"] = '<x-runway-version>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"promptImage\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"model\": \"gen3a_turbo\"\n}"
response = http.request(request)
puts response.read_body{
"id": "4534fbe1-effa-4a12-b401-02923dace753"
}