Hailuo 2.3 Fast I2V

curl --request POST \
  --url https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "first_frame_image": "https://example.com/image.jpg"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({first_frame_image: 'https://example.com/image.jpg'})
};

fetch('https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v"

payload = { "first_frame_image": "https://example.com/image.jpg" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

package main

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

func main() {

	url := "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v"

	payload := strings.NewReader("{\n  \"first_frame_image\": \"https://example.com/image.jpg\"\n}")

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

	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.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"first_frame_image\": \"https://example.com/image.jpg\"\n}")
  .asString();

const url = 'https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({first_frame_image: 'https://example.com/image.jpg'})
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v",
  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([
    'first_frame_image' => 'https://example.com/image.jpg'
  ]),
  CURLOPT_HTTPHEADER => [
    "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;
}

require 'uri'
require 'net/http'

url = URI("https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v")

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  \"first_frame_image\": \"https://example.com/image.jpg\"\n}"

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

import Foundation

let parameters = ["first_frame_image": "https://example.com/image.jpg"] as [String : Any?]

let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])

let url = URL(string: "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
request.httpBody = postData

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "first_frame_image": "https://example.com/image.jpg"
}'

{
  "code": 0,
  "message": "success",
  "data": {
    "status": "pending",
    "task_id": "task-abc123",
    "model_id": "model-123",
    "get_result": {
      "method": "GET",
      "url": "https://api.modellix.ai/api/v1/tasks/task-abc123"
    }
  }
}

Hailuo 2.3 Fast I2V

[Core Function] Hailuo 2.3 Fast I2V is a high-speed, cost-effective image-to-video generation model. [Strengths] It excels at generating videos from images much faster and at roughly 50% lower cost than the standard 2.3 model, while still maintaining the 2.3 architecture’s strength in human motion. [Best For] Highly recommended for: rapid prototyping, batch social media creation, and cost-sensitive video generation pipelines. [Limitations] Do NOT use this model for text-to-video (it only accepts image inputs). Do NOT use when absolute maximum visual fidelity is the primary requirement. [Routing] Choose this model when the user emphasizes ‘fast’, ‘quick’, or ‘cost-effective’ image-to-video generation. For maximum quality, use the standard Hailuo 2.3 I2V.

POST

minimax

hailuo-2.3-fast-i2v

Hailuo 2.3 Fast I2V

curl --request POST \
  --url https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "first_frame_image": "https://example.com/image.jpg"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({first_frame_image: 'https://example.com/image.jpg'})
};

fetch('https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v"

payload = { "first_frame_image": "https://example.com/image.jpg" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

package main

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

func main() {

	url := "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v"

	payload := strings.NewReader("{\n  \"first_frame_image\": \"https://example.com/image.jpg\"\n}")

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

	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.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"first_frame_image\": \"https://example.com/image.jpg\"\n}")
  .asString();

const url = 'https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({first_frame_image: 'https://example.com/image.jpg'})
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v",
  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([
    'first_frame_image' => 'https://example.com/image.jpg'
  ]),
  CURLOPT_HTTPHEADER => [
    "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;
}

require 'uri'
require 'net/http'

url = URI("https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v")

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  \"first_frame_image\": \"https://example.com/image.jpg\"\n}"

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

import Foundation

let parameters = ["first_frame_image": "https://example.com/image.jpg"] as [String : Any?]

let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])

let url = URL(string: "https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
request.httpBody = postData

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://api.modellix.ai/api/v1/minimax/hailuo-2.3-fast-i2v' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "first_frame_image": "https://example.com/image.jpg"
}'

{
  "code": 0,
  "message": "success",
  "data": {
    "status": "pending",
    "task_id": "task-abc123",
    "model_id": "model-123",
    "get_result": {
      "method": "GET",
      "url": "https://api.modellix.ai/api/v1/tasks/task-abc123"
    }
  }
}

Authorizations

Authorization

string

header

required

API Key authentication. Format: Bearer YOUR_API_KEY.

Body

application/json

first_frame_image

string

required

First frame image URL or Base64 Data URL

Minimum string length: 1

Example:

"https://example.com/image.jpg"

prompt

string

Video content description, supports camera control instructions

Required string length: 1 - 2000

Example:

"Quick animation test"

prompt_optimizer

boolean

default:true

Enable automatic prompt optimization

Example:

true

fast_pretreatment

boolean

default:false

Fast pretreatment mode (only effective when prompt_optimizer=true)

Example:

false

duration

enum<integer>

default:6

Video duration in seconds

Available options:

6,

10

Example:

6

resolution

enum<string>

default:768P

Video resolution

Available options:

768P,

1080P

Example:

"768P"

Response

Task submitted successfully

code

integer

required

Response code, 0 indicates success

Example:

0

message

string

required

Response message

Example:

"success"

data

object

required

Detailed data about the submitted asynchronous task.

Show child attributes

Media Models

Get Result

File

Else

STT Result Schema

Hailuo 2.3 Fast I2V

Authorizations

Body

Response