from magic_hour import Client
from os import getenv
client = Client(token=getenv("API_TOKEN"))
res = client.v1.image_to_video.generate(
assets={"image_file_path": "/path/to/1234.png"},
end_seconds=5.0,
name="Image To Video video",
resolution="720p",
wait_for_completion=True,
download_outputs=True,
download_directory="."
)import { Client } from "magic-hour";
const client = new Client({ token: process.env["API_TOKEN"]!! });
const res = await client.v1.imageToVideo.generate(
{
assets: { imageFilePath: "/path/to/1234.png" },
endSeconds: 5.0,
name: "Image To Video video",
resolution: "720p",
},
{
waitForCompletion: true,
downloadOutputs: true,
downloadDirectory: ".",
},
);package main
import (
os "os"
sdk "github.com/magichourhq/magic-hour-go/client"
nullable "github.com/magichourhq/magic-hour-go/nullable"
image_to_video "github.com/magichourhq/magic-hour-go/resources/v1/image_to_video"
types "github.com/magichourhq/magic-hour-go/types"
)
func main() {
client := sdk.NewClient(
sdk.WithBearerAuth(os.Getenv("API_TOKEN")),
)
res, err := client.V1.ImageToVideo.Create(image_to_video.CreateRequest{
Assets: types.V1ImageToVideoCreateBodyAssets{
EndImageFilePath: nullable.NewValue("api-assets/id/1234.png"),
ImageFilePath: "api-assets/id/1234.png",
},
Audio: nullable.NewValue(true),
EndSeconds: 5.0,
Model: nullable.NewValue(types.V1ImageToVideoCreateBodyModelEnumKling30),
Name: nullable.NewValue("My Image To Video video"),
Resolution: nullable.NewValue(types.V1ImageToVideoCreateBodyResolutionEnum720p),
})
}let client = magic_hour::Client::default()
.with_bearer_auth(&std::env::var("API_TOKEN").unwrap());
let res = client
.v1()
.image_to_video()
.create(magic_hour::resources::v1::image_to_video::CreateRequest {
assets: magic_hour::models::V1ImageToVideoCreateBodyAssets {
end_image_file_path: Some("api-assets/id/1234.png".to_string()),
image_file_path: "api-assets/id/1234.png".to_string(),
},
audio: Some(true),
end_seconds: 5.0,
model: Some(magic_hour::models::V1ImageToVideoCreateBodyModelEnum::Kling30),
name: Some("My Image To Video video".to_string()),
resolution: Some(
magic_hour::models::V1ImageToVideoCreateBodyResolutionEnum::Enum720p,
),
..Default::default()
})
.await;curl --request POST \
--url https://api.magichour.ai/v1/image-to-video \
--header 'accept: application/json' \
--header 'authorization: Bearer <token>' \
--header 'content-type: application/json' \
--data '
{
"name": "My Image To Video video",
"end_seconds": 5,
"model": "kling-3.0",
"resolution": "720p",
"audio": true,
"style": {
"prompt": "a dog running"
},
"assets": {
"image_file_path": "api-assets/id/1234.png",
"end_image_file_path": "api-assets/id/1234.png"
}
}
'<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.magichour.ai/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([
'name' => 'My Image To Video video',
'end_seconds' => 5,
'model' => 'kling-3.0',
'resolution' => '720p',
'audio' => true,
'style' => [
'prompt' => 'a dog running'
],
'assets' => [
'image_file_path' => 'api-assets/id/1234.png',
'end_image_file_path' => 'api-assets/id/1234.png'
]
]),
CURLOPT_HTTPHEADER => [
"accept: application/json",
"authorization: Bearer <token>",
"content-type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}HttpResponse<String> response = Unirest.post("https://api.magichour.ai/v1/image-to-video")
.header("accept", "application/json")
.header("content-type", "application/json")
.header("authorization", "Bearer <token>")
.body("{\"name\":\"My Image To Video video\",\"end_seconds\":5,\"model\":\"kling-3.0\",\"resolution\":\"720p\",\"audio\":true,\"style\":{\"prompt\":\"a dog running\"},\"assets\":{\"image_file_path\":\"api-assets/id/1234.png\",\"end_image_file_path\":\"api-assets/id/1234.png\"}}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.magichour.ai/v1/image-to-video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"end_seconds\": 5,\n \"assets\": {\n \"image_file_path\": \"api-assets/id/1234.png\",\n \"end_image_file_path\": \"api-assets/id/1234.png\"\n },\n \"name\": \"My Image To Video video\",\n \"model\": \"kling-3.0\",\n \"resolution\": \"720p\",\n \"audio\": true,\n \"style\": {\n \"prompt\": \"a dog running\"\n }\n}"
response = http.request(request)
puts response.read_body{
"id": "cuid-example",
"credits_charged": 450
}{
"code": "invalid_request",
"message": "<string>"
}{
"code": "unauthorized",
"message": "<string>"
}{
"code": "insufficient_credits",
"message": "<string>"
}{
"code": "not_found",
"message": "<string>"
}{
"code": "unprocessable_entity",
"message": "<string>"
}{
"code": "internal_server_error",
"message": "<string>"
}Image-to-Video API Reference - Magic Hour Docs
What this API does
Create the same Image To Video you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow.
Good for
- Automation and batch processing
- Adding image to video into apps, pipelines, or tools
How it works (3 steps)
- Upload your inputs (video, image, or audio) with Generate Upload URLs and copy the
file_path. - Send a request to create a image to video job with the basic fields.
- Check the job status until it’s
complete, then download the result fromdownloads.
Key options
- Inputs: usually a file, sometimes a YouTube link, depending on project type
- Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes
- Extra fields: e.g.
face_swap_mode,start_seconds/end_seconds, or a text prompt
Cost
Credits are only charged for the frames that actually render. You’ll see an estimate when the job is queued, and the final total after it’s done.
For detailed examples, see the product page.
from magic_hour import Client
from os import getenv
client = Client(token=getenv("API_TOKEN"))
res = client.v1.image_to_video.generate(
assets={"image_file_path": "/path/to/1234.png"},
end_seconds=5.0,
name="Image To Video video",
resolution="720p",
wait_for_completion=True,
download_outputs=True,
download_directory="."
)import { Client } from "magic-hour";
const client = new Client({ token: process.env["API_TOKEN"]!! });
const res = await client.v1.imageToVideo.generate(
{
assets: { imageFilePath: "/path/to/1234.png" },
endSeconds: 5.0,
name: "Image To Video video",
resolution: "720p",
},
{
waitForCompletion: true,
downloadOutputs: true,
downloadDirectory: ".",
},
);package main
import (
os "os"
sdk "github.com/magichourhq/magic-hour-go/client"
nullable "github.com/magichourhq/magic-hour-go/nullable"
image_to_video "github.com/magichourhq/magic-hour-go/resources/v1/image_to_video"
types "github.com/magichourhq/magic-hour-go/types"
)
func main() {
client := sdk.NewClient(
sdk.WithBearerAuth(os.Getenv("API_TOKEN")),
)
res, err := client.V1.ImageToVideo.Create(image_to_video.CreateRequest{
Assets: types.V1ImageToVideoCreateBodyAssets{
EndImageFilePath: nullable.NewValue("api-assets/id/1234.png"),
ImageFilePath: "api-assets/id/1234.png",
},
Audio: nullable.NewValue(true),
EndSeconds: 5.0,
Model: nullable.NewValue(types.V1ImageToVideoCreateBodyModelEnumKling30),
Name: nullable.NewValue("My Image To Video video"),
Resolution: nullable.NewValue(types.V1ImageToVideoCreateBodyResolutionEnum720p),
})
}let client = magic_hour::Client::default()
.with_bearer_auth(&std::env::var("API_TOKEN").unwrap());
let res = client
.v1()
.image_to_video()
.create(magic_hour::resources::v1::image_to_video::CreateRequest {
assets: magic_hour::models::V1ImageToVideoCreateBodyAssets {
end_image_file_path: Some("api-assets/id/1234.png".to_string()),
image_file_path: "api-assets/id/1234.png".to_string(),
},
audio: Some(true),
end_seconds: 5.0,
model: Some(magic_hour::models::V1ImageToVideoCreateBodyModelEnum::Kling30),
name: Some("My Image To Video video".to_string()),
resolution: Some(
magic_hour::models::V1ImageToVideoCreateBodyResolutionEnum::Enum720p,
),
..Default::default()
})
.await;curl --request POST \
--url https://api.magichour.ai/v1/image-to-video \
--header 'accept: application/json' \
--header 'authorization: Bearer <token>' \
--header 'content-type: application/json' \
--data '
{
"name": "My Image To Video video",
"end_seconds": 5,
"model": "kling-3.0",
"resolution": "720p",
"audio": true,
"style": {
"prompt": "a dog running"
},
"assets": {
"image_file_path": "api-assets/id/1234.png",
"end_image_file_path": "api-assets/id/1234.png"
}
}
'<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.magichour.ai/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([
'name' => 'My Image To Video video',
'end_seconds' => 5,
'model' => 'kling-3.0',
'resolution' => '720p',
'audio' => true,
'style' => [
'prompt' => 'a dog running'
],
'assets' => [
'image_file_path' => 'api-assets/id/1234.png',
'end_image_file_path' => 'api-assets/id/1234.png'
]
]),
CURLOPT_HTTPHEADER => [
"accept: application/json",
"authorization: Bearer <token>",
"content-type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}HttpResponse<String> response = Unirest.post("https://api.magichour.ai/v1/image-to-video")
.header("accept", "application/json")
.header("content-type", "application/json")
.header("authorization", "Bearer <token>")
.body("{\"name\":\"My Image To Video video\",\"end_seconds\":5,\"model\":\"kling-3.0\",\"resolution\":\"720p\",\"audio\":true,\"style\":{\"prompt\":\"a dog running\"},\"assets\":{\"image_file_path\":\"api-assets/id/1234.png\",\"end_image_file_path\":\"api-assets/id/1234.png\"}}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.magichour.ai/v1/image-to-video")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"end_seconds\": 5,\n \"assets\": {\n \"image_file_path\": \"api-assets/id/1234.png\",\n \"end_image_file_path\": \"api-assets/id/1234.png\"\n },\n \"name\": \"My Image To Video video\",\n \"model\": \"kling-3.0\",\n \"resolution\": \"720p\",\n \"audio\": true,\n \"style\": {\n \"prompt\": \"a dog running\"\n }\n}"
response = http.request(request)
puts response.read_body{
"id": "cuid-example",
"credits_charged": 450
}{
"code": "invalid_request",
"message": "<string>"
}{
"code": "unauthorized",
"message": "<string>"
}{
"code": "insufficient_credits",
"message": "<string>"
}{
"code": "not_found",
"message": "<string>"
}{
"code": "unprocessable_entity",
"message": "<string>"
}{
"code": "internal_server_error",
"message": "<string>"
}Authorizations
Bearer authentication header of the form Bearer <api_key>, where <api_key> is your API key. To get your API key, go to Developer Hub and click "Create new API Key".
Body
Body
The total duration of the output video in seconds. Supported durations depend on the chosen model:
gemini-omni-1.1: 3, 4, 5, 6, 7, 8, 9, 10kling-2.6: 5, 10kling-3.0: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15ltx-2.3: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30ltx-2.5: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60minimax-h3: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30seedance-1.5: 4, 5, 6, 7, 8, 9, 10, 11, 12seedance-2.0: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15seedance-2.0-mini: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15seedance-2.5: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30sora-2: 4, 8, 12, 24, 36, 48, 60veo3.1: 4, 6, 8, 16, 24, 32, 40, 48, 56veo3.1-lite: 4, 6, 8, 16, 24, 32, 40, 48, 56wan-2.2: 3, 4, 5, 6, 7, 8, 9, 10, 15
1 <= x <= 605
Provide the assets for image-to-video. Sora 2 only supports images with an aspect ratio of 9:16 or 16:9.
Show child attributes
Show child attributes
Give your video a custom name for easy identification.
"My Image To Video video"
The AI model to use for video generation.
default: uses our currently recommended model for general use. For paid tiers, defaults tokling-3.0. For free tiers, it defaults toltx-2.5.gemini-omni-1.1: Best for precise short clips, first/last frames, and high-resolution output.kling-2.6: Best for action, motion blur, and controlled camera moves.kling-3.0: Best for cinematic stories, references, and optional audio.ltx-2.3: Fastest for general scenes, long clips, audio, and rapid iteration.ltx-2.5: Fastest for general scenes, long clips, audio, and rapid iteration.minimax-h3: Great for reference-driven clips with native audio and longer durations.seedance-1.5: Best for smooth, consistent motion with an end frame.seedance-2.0: Best for reference-led clips with precise subject control.seedance-2.0-mini: Faster reference-led clips with consistent motion and audio.seedance-2.5: Best for premium realism, detail, and natural motion.sora-2: Best for creative concepts and longer clips with audio.veo3.1: Best for romantic interactions and expressive action, with realistic detail.veo3.1-lite: Balanced realism and audio at a lower cost than Veo 3.1.wan-2.2: Best for physical motion, action, and camera movement.
If you specify the deprecated model value that includes the -audio suffix, this will be the same as included audio as true.
default, ltx-2, ltx-2.3, ltx-2.5, minimax-h3, wan-2.2, seedance-1.5, seedance-2.0, seedance-2.0-mini, seedance-2.5, kling-2.5, kling-2.6, kling-3.0, gemini-omni-1.1, veo3.1, veo3.1-lite, sora-2, kling-1.6, seedance, kling-2.5-audio, veo3.1-audio "kling-3.0"
Controls the output video resolution. Defaults to 720p on paid tiers and 480p on free tiers.
gemini-omni-1.1: Supports 360p, 720p, 1080p, 4k.kling-2.6: Supports 720p, 1080p.kling-3.0: Supports 720p, 1080p, 4k.ltx-2.3: Supports 480p, 720p, 1080p.ltx-2.5: Supports 480p, 720p, 1080p.minimax-h3: Supports 480p, 720p, 1080p.seedance-1.5: Supports 480p, 720p, 1080p.seedance-2.0: Supports 480p, 720p.seedance-2.0-mini: Supports 480p, 720p.seedance-2.5: Supports 480p, 720p.sora-2: Supports 720p.veo3.1: Supports 720p, 1080p.veo3.1-lite: Supports 720p, 1080p.wan-2.2: Supports 480p, 720p, 1080p.
360p, 480p, 720p, 1080p, 4k "720p"
Whether to include audio in the video. Defaults to false if not specified.
Audio support varies by model:
gemini-omni-1.1: Not supportedkling-2.6: Not supportedkling-3.0: Toggle-able: audio adds extra credits when enabledltx-2.3: Toggle-able: no additional credits for audioltx-2.5: Toggle-able: no additional credits for audiominimax-h3: Toggle-able: no additional credits for audioseedance-1.5: Toggle-able: audio adds extra credits when enabledseedance-2.0: Toggle-able: no additional credits for audioseedance-2.0-mini: Toggle-able: no additional credits for audioseedance-2.5: Toggle-able: no additional credits for audiosora-2: Toggle-able: no additional credits for audioveo3.1: Toggle-able: audio adds extra credits when enabledveo3.1-lite: Toggle-able: audio adds extra credits when enabledwan-2.2: Not supported
true
Attributed used to dictate the style of the output
Show child attributes
Show child attributes
Response
Success
Success
Unique ID of the video. Use it with the Get video Project API to fetch status and downloads.
"cuid-example"
The amount of credits deducted from your account to generate the video. If the status is not 'complete', this value is an estimate and may be adjusted upon completion based on the actual FPS of the output video.
If video generation fails, credits will be refunded, and this field will be updated to include the refund.
450
Was this page helpful?