curl --request POST \
  --url https://www.anyfast.ai/v1/video/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "happyhorse-1.1-r2v",
  "input": {
    "prompt": "The woman in [Image 1] opens the folding fan from [Image 2].",
    "media": [
      {
        "type": "reference_image",
        "url": "https://example.com/person.jpg"
      },
      {
        "type": "reference_image",
        "url": "https://example.com/fan.jpg"
      }
    ]
  },
  "parameters": {
    "resolution": "720P",
    "ratio": "16:9",
    "duration": 5,
    "watermark": false
  }
}
'

import requests

url = "https://www.anyfast.ai/v1/video/generations"

payload = {
    "model": "happyhorse-1.1-r2v",
    "input": {
        "prompt": "The woman in [Image 1] opens the folding fan from [Image 2].",
        "media": [
            {
                "type": "reference_image",
                "url": "https://example.com/person.jpg"
            },
            {
                "type": "reference_image",
                "url": "https://example.com/fan.jpg"
            }
        ]
    },
    "parameters": {
        "resolution": "720P",
        "ratio": "16:9",
        "duration": 5,
        "watermark": False
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'happyhorse-1.1-r2v',
    input: {
      prompt: 'The woman in [Image 1] opens the folding fan from [Image 2].',
      media: [
        {type: 'reference_image', url: 'https://example.com/person.jpg'},
        {type: 'reference_image', url: 'https://example.com/fan.jpg'}
      ]
    },
    parameters: {resolution: '720P', ratio: '16:9', duration: 5, watermark: false}
  })
};

fetch('https://www.anyfast.ai/v1/video/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://www.anyfast.ai/v1/video/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' => 'happyhorse-1.1-r2v',
    'input' => [
        'prompt' => 'The woman in [Image 1] opens the folding fan from [Image 2].',
        'media' => [
                [
                                'type' => 'reference_image',
                                'url' => 'https://example.com/person.jpg'
                ],
                [
                                'type' => 'reference_image',
                                'url' => 'https://example.com/fan.jpg'
                ]
        ]
    ],
    'parameters' => [
        'resolution' => '720P',
        'ratio' => '16:9',
        'duration' => 5,
        'watermark' => false
    ]
  ]),
  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;
}

package main

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

func main() {

	url := "https://www.anyfast.ai/v1/video/generations"

	payload := strings.NewReader("{\n  \"model\": \"happyhorse-1.1-r2v\",\n  \"input\": {\n    \"prompt\": \"The woman in [Image 1] opens the folding fan from [Image 2].\",\n    \"media\": [\n      {\n        \"type\": \"reference_image\",\n        \"url\": \"https://example.com/person.jpg\"\n      },\n      {\n        \"type\": \"reference_image\",\n        \"url\": \"https://example.com/fan.jpg\"\n      }\n    ]\n  },\n  \"parameters\": {\n    \"resolution\": \"720P\",\n    \"ratio\": \"16:9\",\n    \"duration\": 5,\n    \"watermark\": false\n  }\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://www.anyfast.ai/v1/video/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"happyhorse-1.1-r2v\",\n  \"input\": {\n    \"prompt\": \"The woman in [Image 1] opens the folding fan from [Image 2].\",\n    \"media\": [\n      {\n        \"type\": \"reference_image\",\n        \"url\": \"https://example.com/person.jpg\"\n      },\n      {\n        \"type\": \"reference_image\",\n        \"url\": \"https://example.com/fan.jpg\"\n      }\n    ]\n  },\n  \"parameters\": {\n    \"resolution\": \"720P\",\n    \"ratio\": \"16:9\",\n    \"duration\": 5,\n    \"watermark\": false\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.anyfast.ai/v1/video/generations")

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  \"model\": \"happyhorse-1.1-r2v\",\n  \"input\": {\n    \"prompt\": \"The woman in [Image 1] opens the folding fan from [Image 2].\",\n    \"media\": [\n      {\n        \"type\": \"reference_image\",\n        \"url\": \"https://example.com/person.jpg\"\n      },\n      {\n        \"type\": \"reference_image\",\n        \"url\": \"https://example.com/fan.jpg\"\n      }\n    ]\n  },\n  \"parameters\": {\n    \"resolution\": \"720P\",\n    \"ratio\": \"16:9\",\n    \"duration\": 5,\n    \"watermark\": false\n  }\n}"

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

{
  "id": "asyntask_jwgfhsG0m2aDjLmiiELRf74eoWmss6ya",
  "task_id": "asyntask_jwgfhsG0m2aDjLmiiELRf74eoWmss6ya",
  "object": "video",
  "model": "happyhorse-1.1-r2v",
  "status": "queued",
  "progress": 0,
  "created_at": 1784520000
}