seedance-2.5

Create Video Generation Task

curl --request POST \
  --url https://www.anyfast.ai/v1/video/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "seedance-2.5",
  "content": [
    {
      "type": "text",
      "text": "A cinematic tracking shot of @image1 walking through a rain-lit city"
    },
    {
      "type": "image_url",
      "image_url": {
        "url": "https://example.com/character.jpg"
      },
      "role": "reference_image"
    }
  ],
  "callback_url": "<string>",
  "execution_expires_after": 172800,
  "priority": 0,
  "safety_identifier": "<string>",
  "seed": -1,
  "service_tier": "default",
  "generate_audio": true,
  "resolution": "720p",
  "ratio": "adaptive",
  "duration": -1,
  "output_format": "mp4",
  "tools": [
    {
      "type": "web_search"
    }
  ],
  "watermark": false,
  "return_last_frame": false
}
'

import requests

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

payload = {
    "model": "seedance-2.5",
    "content": [
        {
            "type": "text",
            "text": "A cinematic tracking shot of @image1 walking through a rain-lit city"
        },
        {
            "type": "image_url",
            "image_url": { "url": "https://example.com/character.jpg" },
            "role": "reference_image"
        }
    ],
    "callback_url": "<string>",
    "execution_expires_after": 172800,
    "priority": 0,
    "safety_identifier": "<string>",
    "seed": -1,
    "service_tier": "default",
    "generate_audio": True,
    "resolution": "720p",
    "ratio": "adaptive",
    "duration": -1,
    "output_format": "mp4",
    "tools": [{ "type": "web_search" }],
    "watermark": False,
    "return_last_frame": 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: 'seedance-2.5',
    content: [
      {
        type: 'text',
        text: 'A cinematic tracking shot of @image1 walking through a rain-lit city'
      },
      {
        type: 'image_url',
        image_url: {url: 'https://example.com/character.jpg'},
        role: 'reference_image'
      }
    ],
    callback_url: '<string>',
    execution_expires_after: 172800,
    priority: 0,
    safety_identifier: '<string>',
    seed: -1,
    service_tier: 'default',
    generate_audio: true,
    resolution: '720p',
    ratio: 'adaptive',
    duration: -1,
    output_format: 'mp4',
    tools: [{type: 'web_search'}],
    watermark: false,
    return_last_frame: 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' => 'seedance-2.5',
    'content' => [
        [
                'type' => 'text',
                'text' => 'A cinematic tracking shot of @image1 walking through a rain-lit city'
        ],
        [
                'type' => 'image_url',
                'image_url' => [
                                'url' => 'https://example.com/character.jpg'
                ],
                'role' => 'reference_image'
        ]
    ],
    'callback_url' => '<string>',
    'execution_expires_after' => 172800,
    'priority' => 0,
    'safety_identifier' => '<string>',
    'seed' => -1,
    'service_tier' => 'default',
    'generate_audio' => true,
    'resolution' => '720p',
    'ratio' => 'adaptive',
    'duration' => -1,
    'output_format' => 'mp4',
    'tools' => [
        [
                'type' => 'web_search'
        ]
    ],
    'watermark' => false,
    'return_last_frame' => 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\": \"seedance-2.5\",\n  \"content\": [\n    {\n      \"type\": \"text\",\n      \"text\": \"A cinematic tracking shot of @image1 walking through a rain-lit city\"\n    },\n    {\n      \"type\": \"image_url\",\n      \"image_url\": {\n        \"url\": \"https://example.com/character.jpg\"\n      },\n      \"role\": \"reference_image\"\n    }\n  ],\n  \"callback_url\": \"<string>\",\n  \"execution_expires_after\": 172800,\n  \"priority\": 0,\n  \"safety_identifier\": \"<string>\",\n  \"seed\": -1,\n  \"service_tier\": \"default\",\n  \"generate_audio\": true,\n  \"resolution\": \"720p\",\n  \"ratio\": \"adaptive\",\n  \"duration\": -1,\n  \"output_format\": \"mp4\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"watermark\": false,\n  \"return_last_frame\": false\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\": \"seedance-2.5\",\n  \"content\": [\n    {\n      \"type\": \"text\",\n      \"text\": \"A cinematic tracking shot of @image1 walking through a rain-lit city\"\n    },\n    {\n      \"type\": \"image_url\",\n      \"image_url\": {\n        \"url\": \"https://example.com/character.jpg\"\n      },\n      \"role\": \"reference_image\"\n    }\n  ],\n  \"callback_url\": \"<string>\",\n  \"execution_expires_after\": 172800,\n  \"priority\": 0,\n  \"safety_identifier\": \"<string>\",\n  \"seed\": -1,\n  \"service_tier\": \"default\",\n  \"generate_audio\": true,\n  \"resolution\": \"720p\",\n  \"ratio\": \"adaptive\",\n  \"duration\": -1,\n  \"output_format\": \"mp4\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"watermark\": false,\n  \"return_last_frame\": false\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\": \"seedance-2.5\",\n  \"content\": [\n    {\n      \"type\": \"text\",\n      \"text\": \"A cinematic tracking shot of @image1 walking through a rain-lit city\"\n    },\n    {\n      \"type\": \"image_url\",\n      \"image_url\": {\n        \"url\": \"https://example.com/character.jpg\"\n      },\n      \"role\": \"reference_image\"\n    }\n  ],\n  \"callback_url\": \"<string>\",\n  \"execution_expires_after\": 172800,\n  \"priority\": 0,\n  \"safety_identifier\": \"<string>\",\n  \"seed\": -1,\n  \"service_tier\": \"default\",\n  \"generate_audio\": true,\n  \"resolution\": \"720p\",\n  \"ratio\": \"adaptive\",\n  \"duration\": -1,\n  \"output_format\": \"mp4\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"watermark\": false,\n  \"return_last_frame\": false\n}"

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

{
  "id": "asyntask_h81efT0qwtLnzyt6VENmCZ6VXSfNxE2E",
  "task_id": "asyntask_h81efT0qwtLnzyt6VENmCZ6VXSfNxE2E",
  "object": "video",
  "model": "seedance-2.5",
  "status": "queued",
  "progress": 0,
  "created_at": 1786084139
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

POST

video

generations

Create Video Generation Task

curl --request POST \
  --url https://www.anyfast.ai/v1/video/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "seedance-2.5",
  "content": [
    {
      "type": "text",
      "text": "A cinematic tracking shot of @image1 walking through a rain-lit city"
    },
    {
      "type": "image_url",
      "image_url": {
        "url": "https://example.com/character.jpg"
      },
      "role": "reference_image"
    }
  ],
  "callback_url": "<string>",
  "execution_expires_after": 172800,
  "priority": 0,
  "safety_identifier": "<string>",
  "seed": -1,
  "service_tier": "default",
  "generate_audio": true,
  "resolution": "720p",
  "ratio": "adaptive",
  "duration": -1,
  "output_format": "mp4",
  "tools": [
    {
      "type": "web_search"
    }
  ],
  "watermark": false,
  "return_last_frame": false
}
'

import requests

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

payload = {
    "model": "seedance-2.5",
    "content": [
        {
            "type": "text",
            "text": "A cinematic tracking shot of @image1 walking through a rain-lit city"
        },
        {
            "type": "image_url",
            "image_url": { "url": "https://example.com/character.jpg" },
            "role": "reference_image"
        }
    ],
    "callback_url": "<string>",
    "execution_expires_after": 172800,
    "priority": 0,
    "safety_identifier": "<string>",
    "seed": -1,
    "service_tier": "default",
    "generate_audio": True,
    "resolution": "720p",
    "ratio": "adaptive",
    "duration": -1,
    "output_format": "mp4",
    "tools": [{ "type": "web_search" }],
    "watermark": False,
    "return_last_frame": 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: 'seedance-2.5',
    content: [
      {
        type: 'text',
        text: 'A cinematic tracking shot of @image1 walking through a rain-lit city'
      },
      {
        type: 'image_url',
        image_url: {url: 'https://example.com/character.jpg'},
        role: 'reference_image'
      }
    ],
    callback_url: '<string>',
    execution_expires_after: 172800,
    priority: 0,
    safety_identifier: '<string>',
    seed: -1,
    service_tier: 'default',
    generate_audio: true,
    resolution: '720p',
    ratio: 'adaptive',
    duration: -1,
    output_format: 'mp4',
    tools: [{type: 'web_search'}],
    watermark: false,
    return_last_frame: 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' => 'seedance-2.5',
    'content' => [
        [
                'type' => 'text',
                'text' => 'A cinematic tracking shot of @image1 walking through a rain-lit city'
        ],
        [
                'type' => 'image_url',
                'image_url' => [
                                'url' => 'https://example.com/character.jpg'
                ],
                'role' => 'reference_image'
        ]
    ],
    'callback_url' => '<string>',
    'execution_expires_after' => 172800,
    'priority' => 0,
    'safety_identifier' => '<string>',
    'seed' => -1,
    'service_tier' => 'default',
    'generate_audio' => true,
    'resolution' => '720p',
    'ratio' => 'adaptive',
    'duration' => -1,
    'output_format' => 'mp4',
    'tools' => [
        [
                'type' => 'web_search'
        ]
    ],
    'watermark' => false,
    'return_last_frame' => 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\": \"seedance-2.5\",\n  \"content\": [\n    {\n      \"type\": \"text\",\n      \"text\": \"A cinematic tracking shot of @image1 walking through a rain-lit city\"\n    },\n    {\n      \"type\": \"image_url\",\n      \"image_url\": {\n        \"url\": \"https://example.com/character.jpg\"\n      },\n      \"role\": \"reference_image\"\n    }\n  ],\n  \"callback_url\": \"<string>\",\n  \"execution_expires_after\": 172800,\n  \"priority\": 0,\n  \"safety_identifier\": \"<string>\",\n  \"seed\": -1,\n  \"service_tier\": \"default\",\n  \"generate_audio\": true,\n  \"resolution\": \"720p\",\n  \"ratio\": \"adaptive\",\n  \"duration\": -1,\n  \"output_format\": \"mp4\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"watermark\": false,\n  \"return_last_frame\": false\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\": \"seedance-2.5\",\n  \"content\": [\n    {\n      \"type\": \"text\",\n      \"text\": \"A cinematic tracking shot of @image1 walking through a rain-lit city\"\n    },\n    {\n      \"type\": \"image_url\",\n      \"image_url\": {\n        \"url\": \"https://example.com/character.jpg\"\n      },\n      \"role\": \"reference_image\"\n    }\n  ],\n  \"callback_url\": \"<string>\",\n  \"execution_expires_after\": 172800,\n  \"priority\": 0,\n  \"safety_identifier\": \"<string>\",\n  \"seed\": -1,\n  \"service_tier\": \"default\",\n  \"generate_audio\": true,\n  \"resolution\": \"720p\",\n  \"ratio\": \"adaptive\",\n  \"duration\": -1,\n  \"output_format\": \"mp4\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"watermark\": false,\n  \"return_last_frame\": false\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\": \"seedance-2.5\",\n  \"content\": [\n    {\n      \"type\": \"text\",\n      \"text\": \"A cinematic tracking shot of @image1 walking through a rain-lit city\"\n    },\n    {\n      \"type\": \"image_url\",\n      \"image_url\": {\n        \"url\": \"https://example.com/character.jpg\"\n      },\n      \"role\": \"reference_image\"\n    }\n  ],\n  \"callback_url\": \"<string>\",\n  \"execution_expires_after\": 172800,\n  \"priority\": 0,\n  \"safety_identifier\": \"<string>\",\n  \"seed\": -1,\n  \"service_tier\": \"default\",\n  \"generate_audio\": true,\n  \"resolution\": \"720p\",\n  \"ratio\": \"adaptive\",\n  \"duration\": -1,\n  \"output_format\": \"mp4\",\n  \"tools\": [\n    {\n      \"type\": \"web_search\"\n    }\n  ],\n  \"watermark\": false,\n  \"return_last_frame\": false\n}"

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

{
  "id": "asyntask_h81efT0qwtLnzyt6VENmCZ6VXSfNxE2E",
  "task_id": "asyntask_h81efT0qwtLnzyt6VENmCZ6VXSfNxE2E",
  "object": "video",
  "model": "seedance-2.5",
  "status": "queued",
  "progress": 0,
  "created_at": 1786084139
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

model

enum<string>

required

AnyFast model ID.

Available options:

seedance-2.5

Example:

"seedance-2.5"

content

object[]

required

Input content. Put the optional text prompt first, then media items. Seedance 2.5 accepts up to 30 reference images, 10 reference videos, and 10 reference audio clips. Reference videos and audio clips may total at most 30 seconds per media type. The complete request body must not exceed 64 MB; avoid Base64 for large files.

Required array length: 1 - 51 elements

Show child attributes

Example:

[
  {
    "type": "text",
    "text": "A cinematic tracking shot of @image1 walking through a rain-lit city"
  },
  {
    "type": "image_url",
    "image_url": {
      "url": "https://example.com/character.jpg"
    },
    "role": "reference_image"
  }
]

callback_url

string<uri>

Optional callback URL that receives POST notifications when the asynchronous task status changes.

execution_expires_after

integer

default:172800

Maximum time in seconds that a queued or running task may execute before it expires.

priority

integer

default:0

Task execution priority.

safety_identifier

string

Stable end-user identifier used for safety tracing.

seed

integer

default:-1

Random seed. Use -1 for a random seed.

service_tier

string

default:default

Task service tier.

generate_audio

boolean

default:true

Generate synchronized dialogue, sound effects, and background audio.

resolution

enum<string>

default:720p

Output video resolution.

Available options:

480p,

720p

ratio

enum<string>

default:adaptive

Output aspect ratio. For text and ordinary reference generation, adaptive selects the best supported ratio. Video editing and extension follow the selected source video; frame-guided generation follows the first frame. Editing, extension, and first-frame/first-and-last-frame tasks require adaptive.

Available options:

21:9,

16:9,

4:3,

1:1,

3:4,

9:16,

adaptive

duration

enum<integer>

default:-1

Output duration in seconds. Use -1 to let the model choose a duration from 4–30 seconds. Video editing requires -1 and follows the source duration, possibly up to 0.4 seconds shorter. Extension and frame-guided generation accept -1 or 4–30.

Available options:

-1,

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,

30

output_format

enum<string>

default:mp4

Output container. MOV uses high-color-fidelity H.264/yuv444p video and PCM audio for editing workflows.

Available options:

mp4,

mov

tools

object[]

Optional generation tools. Web search is available for text-to-video.

Show child attributes

watermark

boolean

default:false

Add an AI-generated watermark to the lower-right corner.

return_last_frame

boolean

default:false

Return the generated video's final frame as an image.

Response

Video generation task created

string

required

Task ID used for polling.

Example:

"asyntask_h81efT0qwtLnzyt6VENmCZ6VXSfNxE2E"

task_id

string

required

Task ID, identical to id.

Example:

"asyntask_h81efT0qwtLnzyt6VENmCZ6VXSfNxE2E"

object

enum<string>

required

Available options:

video

Example:

"video"

model

enum<string>

required

Available options:

seedance-2.5

Example:

"seedance-2.5"

status

enum<string>

required

Initial asynchronous task status.

Available options:

queued

Example:

"queued"

progress

integer

required

Initial task progress percentage.

Example:

0

created_at

integer

required

Unix timestamp.

Example:

1786084139

Overview

Native Compatible Endpoints

Model APIs

Authorizations

Body

Response