- Auto-routes by parameters: T2V (prompt only) / I2V (first_frame_image) / R2V (image_urls) / EDIT (video_url)
- Supports 720P/1080P resolutions and any integer duration from 3 to 15 seconds
- Billed by resolution × duration (seconds) only, regardless of capability
Request example
curl --request POST \
--url https://api.openveer.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}'import requests
url = "https://api.openveer.com/v1/videos/generations"
payload = {
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = "https://api.openveer.com/v1/videos/generations";
const payload = {
model: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.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://api.openveer.com/v1/videos/generations"
payload := map[string]interface{}{
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42,
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
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))
}import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.openveer.com/v1/videos/generations";
String payload = """
{
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}<?php
$url = "https://api.openveer.com/v1/videos/generations";
$payload = [
"model" => "happyhorse-1.0",
"prompt" => "A little girl walking down the road, cinematic feel",
"resolution" => "1080P",
"size" => "16:9",
"duration" => 5,
"seed" => 42
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.openveer.com/v1/videos/generations")
payload = {
model: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
}
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 = payload.to_json
response = http.request(request)
puts response.bodyimport Foundation
let url = URL(string: "https://api.openveer.com/v1/videos/generations")!
let payload: [String: Any] = [
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.openveer.com/v1/videos/generations";
var payload = @"{
""model"": ""happyhorse-1.0"",
""prompt"": ""A little girl walking down the road, cinematic feel"",
""resolution"": ""1080P"",
""size"": ""16:9"",
""duration"": 5,
""seed"": 42
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}Response example
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
}
]
}{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}Authorization
Authorization stringAll API endpoints require Bearer Token authentication
Get your API Key:
Visit the API Key Management Page to get your API Key
Add it to the request header:
Authorization: Bearer YOUR_API_KEYMode Routing
happyhorse-1.0 is the unified entry for Text-to-Video / Image-to-Video / Reference-Image-to-Video / Video Edit. The backend automatically determines the mode based on incoming parameters. All modes are billed by the same rule (resolution × seconds only):
| Fields you pass | Routes To | Mode Description |
|---|---|---|
prompt only |
Text-to-Video (T2V) | Generate video purely from text |
prompt + first_frame_image |
Image-to-Video (I2V) | Animate from a first-frame image |
prompt + image_urls (1–9 images) |
Reference-Image-to-Video (R2V) | Generate a new scene from reference images |
prompt + video_url (optional image_urls 0–5 as style refs / audio_setting) |
Video Edit (EDIT) | Rewrite / restylize a source video |
Routing priority (high to low): video_url > first_frame_image > image_urls > prompt only.
Mutual exclusion rules: the three media fields (first_frame_image / image_urls / video_url) are mutually exclusive in pairs. The only valid combination is video_url + image_urls (EDIT mode + reference images). Passing two mutually exclusive fields returns 400 mixed_media_not_allowed.
Request Parameters
model stringVideo generation model name, fixed as happyhorse-1.0
nsfw_check booleanWhether to run content moderation before submitting the video task.
true: useomni-moderation-latestto review prompts and input imagesfalseor omitted: do not send a moderation request, adding no moderation cost or latency (default)
prompt stringVideo content description, up to 2500 characters; cannot contain special tokens
- T2V / R2V / EDIT modes: required
- I2V mode: optional, but recommended to guide camera movement and actions
Example: "A little girl walking down the road, cinematic feel"
first_frame_image stringFirst-frame image, triggers I2V (Image-to-Video). Supports URL or base64 (data:image/<mime>;base64,<payload>, the gateway uploads it to OSS automatically)
Mutually exclusive with image_urls / video_url
First-frame image requirements:
* Format: JPEG / JPG / PNG / BMP / WEBP
* Short side: ≥ 300px
* Aspect ratio: `1:2.5` to `2.5:1`
* File size: ≤ 10MB
image_urls string">
Image array:
- R2V mode (only
image_urlsprovided): 1–9 images, used as subject/style references to generate a new scene - EDIT mode (provided together with
video_url): 0–5 images, used as style reference
Supports URL or base64
Mutually exclusive with first_frame_image; can be combined with video_url
Reference image requirements:
* Format: JPEG / JPG / PNG / BMP / WEBP
* Short side: ≥ 720p recommended
* Aspect ratio: short / long ≥ 0.4
* File size: ≤ 10MB
* Count: R2V must be 1–9; EDIT up to 5
video_url stringSource video URL, triggers EDIT (Video Edit). Base64 is not supported — provide an HTTP/HTTPS direct link
Mutually exclusive with first_frame_image; can be combined with image_urls (≤ 5)
Source video requirements:
* Duration: 3–60 seconds (> 15s will be auto-truncated by the upstream from 0 to 15s)
* Resolution: minimum 480p, short side ≥ 360
* Aspect ratio: `1:8` to `8:1`
* Format: MP4 / MOV (H.264 recommended)
* Frame rate: > 8 fps
* File size: ≤ 100MB
In EDIT mode, the generated video's duration matches the source video (capped at the truncated 15s when the source is longer). The duration parameter has no effect here. To control the output length, trim the source video to the target duration before uploading.
audio_setting stringAudio setting, only effective in EDIT mode (must pass video_url)
Options:
auto- Auto-generate audio (default)origin- Keep the source video's audio track
Passing this field outside EDIT mode returns 400 audio_setting_only_for_edit
resolution stringVideo resolution (affects billing)
Options:
720P- Standard1080P- High definition (default)
duration integerVideo duration in seconds (affects billing)
Supported range: any integer from 3 to 15
Default: 5
Has no effect in EDIT mode (when video_url is provided): the generated video's duration matches the source video (billed by the truncated 15s when the source is longer than 15s). To control the output length, trim the source video first.
size stringAspect ratio
Supported formats:
16:9- Landscape widescreen (default)9:16- Portrait1:1- Square4:3- Landscape3:4- Portrait
Ignored in I2V / EDIT modes — the output aspect ratio is determined automatically by the input media (first-frame image / source video)
watermark booleanWhether to add a watermark to the generated video
true: Add watermarkfalse: Do not add watermark (default)
seed integerRandom seed used to control the randomness of generated content
Value range: [0, 2147483647]. If omitted, a random seed is used.
* For identical requests, the model generates different results when receiving different seed values (e.g., omitting seed)
* For identical requests, the model generates similar results when receiving the same seed value, but exact consistency is not guaranteed
Response
code integerResponse status code, 200 on success
data arraystatus stringTask status, submitted when initially submitted
task_id stringUnique task identifier for querying task status and results
Use Cases
Case 1: Text-to-Video T2V (Simplest Request)
{
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel"
}Case 2: Text-to-Video T2V (Full Parameters)
{
"model": "happyhorse-1.0",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 8,
"seed": 42
}Case 3: Image-to-Video I2V (first_frame_image)
{
"model": "happyhorse-1.0",
"prompt": "Bring the scene in the image to life",
"first_frame_image": "https://example.com/first_frame.png",
"resolution": "1080P",
"duration": 5
}Case 4: Reference-Image-to-Video R2V (multiple references)
{
"model": "happyhorse-1.0",
"prompt": "The protagonist from image 1 runs through the scene from image 2, then picks up the prop from image 3. Keep a 3D cartoon style with smooth motion.",
"image_urls": [
"https://example.com/img_01.jpg",
"https://example.com/img_02.png",
"https://example.com/img_03.jpeg"
],
"resolution": "1080P",
"size": "16:9",
"duration": 5
}Case 5: Video Edit EDIT (keep original audio + style reference)
{
"model": "happyhorse-1.0",
"prompt": "Convert the character in the video to a cartoon style, preserving the original motion",
"video_url": "https://example.com/source.mp4",
"image_urls": [
"https://example.com/style_ref.jpg"
],
"resolution": "1080P",
"audio_setting": "origin",
"seed": 42
}Case 6: 720P to Save Cost
{
"model": "happyhorse-1.0",
"prompt": "Waves crashing on the beach at sunset",
"resolution": "720P",
"size": "16:9",
"duration": 5
}Mode Selection Guide
| Requirement | Recommended Approach |
|---|---|
| Generate video from text only | Pass only prompt (T2V) |
| Make an image "come alive" (use it as the first frame) | Pass first_frame_image (I2V) |
| Generate a new scene from a set of reference images | Pass image_urls (1–9, R2V) |
| Rewrite / restylize an existing video | Pass video_url (EDIT), optionally combine with image_urls (0–5) as style refs |
| Save cost | Use resolution: "720P" |
Usage Tips
- Unified entry logic: input fields decide the mode. Note that the three media fields (
first_frame_image/image_urls/video_url) are mutually exclusive in pairs sizeonly effective in T2V/R2V: in I2V / EDIT modessizeis ignored — the output aspect ratio is determined by the input media- Duration: 5–10 seconds is the sweet spot. Too short causes choppy motion; too long significantly increases upstream processing time
- First-frame image quality: clear, well-composed, subject centered — significantly improves I2V output
- Prompt writing: describe motion / camera / atmosphere (e.g., "slow push-in, cinematic, warm tones") for better results than purely static scene descriptions
- EDIT input video: > 15 seconds will be auto-truncated by the upstream from 0 to 15s. If you need other segments, slice the video yourself first
Query Task Results
Video generation is an async task that returns a task_id upon submission. Use the Get Task Status endpoint to query generation progress and results.
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