Create video generation

curl --request POST \
  --url https://api.infery.ai/v1/videos/generations \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "prompt": "<string>",
  "duration": 123,
  "resolution": "<string>",
  "aspect_ratio": "<string>",
  "n": 1,
  "image_url": "<string>",
  "person_generation": "allow_all"
}
'

import requests

url = "https://api.infery.ai/v1/videos/generations"

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "duration": 123,
    "resolution": "<string>",
    "aspect_ratio": "<string>",
    "n": 1,
    "image_url": "<string>",
    "person_generation": "allow_all"
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    prompt: '<string>',
    duration: 123,
    resolution: '<string>',
    aspect_ratio: '<string>',
    n: 1,
    image_url: '<string>',
    person_generation: 'allow_all'
  })
};

fetch('https://api.infery.ai/v1/videos/generations', 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.infery.ai/v1/videos/generations",
  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([
    'model' => '<string>',
    'prompt' => '<string>',
    'duration' => 123,
    'resolution' => '<string>',
    'aspect_ratio' => '<string>',
    'n' => 1,
    'image_url' => '<string>',
    'person_generation' => 'allow_all'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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.infery.ai/v1/videos/generations"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"duration\": 123,\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"n\": 1,\n  \"image_url\": \"<string>\",\n  \"person_generation\": \"allow_all\"\n}")

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

	req.Header.Add("Authorization", "<api-key>")
	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.infery.ai/v1/videos/generations")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"duration\": 123,\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"n\": 1,\n  \"image_url\": \"<string>\",\n  \"person_generation\": \"allow_all\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.infery.ai/v1/videos/generations")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"duration\": 123,\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"n\": 1,\n  \"image_url\": \"<string>\",\n  \"person_generation\": \"allow_all\"\n}"

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

{
  "id": "vgen_01HYJ8F3K9QT2X5Z7N1V6W3B4R",
  "status": "queued",
  "progress": 0,
  "created": 1713204900,
  "model": "veo-3-1-fast"
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model"
  }
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model"
  }
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model"
  }
}

POST

videos

generations

Create video generation

curl --request POST \
  --url https://api.infery.ai/v1/videos/generations \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "prompt": "<string>",
  "duration": 123,
  "resolution": "<string>",
  "aspect_ratio": "<string>",
  "n": 1,
  "image_url": "<string>",
  "person_generation": "allow_all"
}
'

import requests

url = "https://api.infery.ai/v1/videos/generations"

payload = {
    "model": "<string>",
    "prompt": "<string>",
    "duration": 123,
    "resolution": "<string>",
    "aspect_ratio": "<string>",
    "n": 1,
    "image_url": "<string>",
    "person_generation": "allow_all"
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    prompt: '<string>',
    duration: 123,
    resolution: '<string>',
    aspect_ratio: '<string>',
    n: 1,
    image_url: '<string>',
    person_generation: 'allow_all'
  })
};

fetch('https://api.infery.ai/v1/videos/generations', 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.infery.ai/v1/videos/generations",
  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([
    'model' => '<string>',
    'prompt' => '<string>',
    'duration' => 123,
    'resolution' => '<string>',
    'aspect_ratio' => '<string>',
    'n' => 1,
    'image_url' => '<string>',
    'person_generation' => 'allow_all'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($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.infery.ai/v1/videos/generations"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"duration\": 123,\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"n\": 1,\n  \"image_url\": \"<string>\",\n  \"person_generation\": \"allow_all\"\n}")

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

	req.Header.Add("Authorization", "<api-key>")
	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.infery.ai/v1/videos/generations")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"duration\": 123,\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"n\": 1,\n  \"image_url\": \"<string>\",\n  \"person_generation\": \"allow_all\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.infery.ai/v1/videos/generations")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"duration\": 123,\n  \"resolution\": \"<string>\",\n  \"aspect_ratio\": \"<string>\",\n  \"n\": 1,\n  \"image_url\": \"<string>\",\n  \"person_generation\": \"allow_all\"\n}"

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

{
  "id": "vgen_01HYJ8F3K9QT2X5Z7N1V6W3B4R",
  "status": "queued",
  "progress": 0,
  "created": 1713204900,
  "model": "veo-3-1-fast"
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model"
  }
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model"
  }
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model"
  }
}

Video generation is asynchronous. Submit → receive job_id → poll the status endpoint until complete.

Submit a job

curl https://api.infery.ai/v1/videos/generations \
  -H "Authorization: Bearer $INFERY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3-1-fast",
    "prompt": "A cat surfing on a banana at sunset, cinematic",
    "duration_seconds": 4,
    "resolution": "720p",
    "aspect_ratio": "16:9"
  }'

Response:

{
  "job_id": "vgen_...",
  "status": "queued",
  "created_at": 1713204900,
  "model": "veo-3-1-fast"
}

Image-to-video

Pass a reference image via image_url or image_base64:

{
  "model": "veo-3-1-fast",
  "prompt": "Animate this photo with gentle camera pan",
  "image_base64": "<base64 of source image>"
}

Supported models

Google Veo (3 and 2), OpenAI Sora, xAI (Grok Video), Alibaba Wan. See Models catalog.

Storage

Completed videos are auto-mirrored to GCS — the returned url is signed and persists past the upstream provider’s ephemeral URLs. To reference a generated video later, use our GET /v1/files/:id/content pattern or keep the signed URL.

Authorizations

Authorization

string

header

required

API key in format: Bearer inf_***

Body

application/json

model

string

required

Model ID to use for generation

prompt

string

required

Text prompt describing the video to generate

duration

number

Duration in seconds (model-specific, see /v1/models)

resolution

string

Video resolution (model-specific, see /v1/models)

aspect_ratio

string

Video aspect ratio (model-specific, see /v1/models)

integer

default:1

Number of videos to generate

image_url

string

Reference image URL for image-to-video

person_generation

enum<string>

default:allow_all

Person generation policy (Google Veo models)

Available options:

dont_allow,

allow_adult,

allow_all

Response

Video generation job submitted. Poll GET /v1/videos/generations/{jobId} until status === "succeeded".

string

Job ID to poll for status

Example:

"vgen_01HYJ8F3K9QT2X5Z7N1V6W3B4R"

status

enum<string>

Available options:

queued,

processing,

succeeded,

failed

Example:

"queued"

progress

integer

Progress percentage (0-100)

Example:

0

created

integer

Example:

1713204900

model

string

Example:

"veo-3-1-fast"

Speech-to-text Get video generation status

Overview

Chat Completions

Embeddings

Images

Audio

Video

Music

Files

Models

Create video generation

Submit a job

Image-to-video

Supported models

Storage

Authorizations

Body

Response

​Submit a job

​Image-to-video

​Supported models

​Storage

Authorizations

Body

Response

Submit a job

Image-to-video

Supported models

Storage