Kling Digital Human

Kling Digital Human turns a portrait and a speech track into a talking-person video. The workflow uses two independent AnyFast endpoints: optional text-to-speech (TTS) at POST /kling/v1/audio/tts, followed by avatar generation at POST /kling/v1/videos/avatar/image2video.

TTS is a standalone synchronous API. Avatar generation is asynchronous. If you already have a supported audio file, skip TTS and pass the file with sound_file.

Workflow

Prepare speech

Call TTS to convert text into audio and read data.task_result.audios[0].id, or provide your own public audio URL.

Create the avatar task

Submit a portrait with either audio_id or sound_file. The two audio fields are mutually exclusive.

Poll by task ID

Read task_id from the creation response and poll GET /kling/v1/videos/avatar/image2video/{task_id} until data.task_status is succeed or failed.

Save the result

On success, download data.task_result.videos[0].url. Generated media can expire, so copy it to your own storage promptly.

Supported inputs

Capability	Input	Important limits
TTS	`text`, `voice_id`, `voice_language`, optional `voice_speed`	Text up to 1,000 characters; language `zh` or `en`; speed `0.8`–`2.0`
Portrait	Public URL or raw Base64 in `image`	JPG, JPEG, or PNG; up to 10 MB; each side at least 300 px; ratio from 1:2.5 to 2.5:1
Generated speech	`audio_id` from TTS	Created within 30 days; 2–300 seconds
Existing speech	Public URL or raw Base64 in `sound_file`	MP3, WAV, M4A, or AAC; up to 5 MB; 2–300 seconds
Output quality	`mode`	`std` or `pro`; default `std`

When you send raw Base64, omit prefixes such as data:image/png;base64,.

Create speech with TTS

cURL

curl --request POST \
  --url https://www.anyfast.ai/kling/v1/audio/tts \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "text": "Hello, welcome to the AnyFast digital human service.",
    "voice_id": "oversea_male1",
    "voice_language": "en",
    "voice_speed": 1.0
  }'

TTS returns the completed audio in the same response. Save both the reusable audio ID and the URL:

data.task_result.audios[0].id
data.task_result.audios[0].url
data.task_result.audios[0].duration

voice_id selects the TTS voice. Choose an ID from the Kling AI Voice List and set voice_language to the language shown for that voice. The returned audio id is an audio_id; these values are not interchangeable.

Generate a digital human video

Use a TTS audio ID
Use your own audio

cURL

curl --request POST \
  --url https://www.anyfast.ai/kling/v1/videos/avatar/image2video \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "image": "https://example.com/portrait.png",
    "audio_id": "AUDIO_ID_FROM_TTS",
    "prompt": "The person looks at the camera, speaks naturally, and nods gently.",
    "mode": "std",
    "watermark_info": {"enabled": true}
  }'

cURL

curl --request POST \
  --url https://www.anyfast.ai/kling/v1/videos/avatar/image2video \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "image": "https://example.com/portrait.png",
    "sound_file": "https://example.com/speech.mp3",
    "prompt": "The person looks at the camera and speaks with a friendly expression.",
    "mode": "pro",
    "watermark_info": {"enabled": false}
  }'

The creation response uses the AnyFast task wrapper. Read the task ID from either task_id or id.

Query the task

cURL

curl --request GET \
  --url https://www.anyfast.ai/kling/v1/videos/avatar/image2video/TASK_ID \
  --header 'Authorization: Bearer YOUR_API_KEY'

The query response uses Kling task fields. Poll data.task_status through submitted and processing. These intermediate states can repeat or move between each other, so do not treat a state change as a failure. Stop only when the status becomes succeed or failed.

Choose between `std` and `pro`

Use std for lower-cost previews and ordinary talking-head content. Use pro when output detail matters more. In live validation, both modes produced decodable videos with audio, and pro produced a higher-resolution result than std.

Digital Human API Reference

Review every supported request and response field for TTS and avatar generation.

Getting started

Model Introduction

Resources

Kling Digital Human

Workflow

Supported inputs

Create speech with TTS

Generate a digital human video

Query the task

Choose between `std` and `pro`

Digital Human API Reference

​Workflow

​Supported inputs

​Create speech with TTS

​Generate a digital human video

​Query the task

​Choose between std and pro

Digital Human API Reference

Workflow

Supported inputs

Create speech with TTS

Generate a digital human video

Query the task

Choose between `std` and `pro`