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Home/Models/Kling/kling_avatar_image2video
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kling_avatar_image2video

每次请求:$0.06608
Creating a Digital Human Task
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Technical Specifications of kling-avatar-image2video

AttributeDetails
Model IDkling-avatar-image2video
CategoryImage-to-video generation
Primary UseCreating a Digital Human Task
Input TypeImage plus task parameters
Output TypeGenerated video task output
Integration StyleAPI-based request and result retrieval
Suitable ForDevelopers building digital human, avatar, or visual character workflows

What is kling-avatar-image2video?

kling-avatar-image2video is a model endpoint for creating a Digital Human Task from image-based inputs. It is designed for workflows where a source image is used to generate a video-oriented avatar or digital human result through an API-driven task process.

This model is suitable for applications that need to turn static character imagery into animated output tasks, such as virtual presenters, avatar experiences, digital spokesperson content, or other human-like visual generation pipelines. In practice, developers send a request with the required input data, then retrieve the generated result after processing completes.

Main features of kling-avatar-image2video

  • Image-to-video task creation: Accepts image-based input for generating a digital human video task.
  • Digital human workflow support: Useful for avatar, virtual human, and presenter-style generation scenarios.
  • API-first integration: Can be incorporated into backend services, automation pipelines, or product workflows through standard API calls.
  • Asynchronous task pattern: Fits implementations where a generation request is submitted first and results are retrieved afterward.
  • Structured developer usage: Works well for applications that need predictable request/response handling for media generation.
  • Scalable deployment potential: Suitable for teams building repeatable content generation systems around digital human assets.

How to access and integrate kling-avatar-image2video

Step 1: Sign Up for API Key

First, sign up on CometAPI and generate your API key from the dashboard. This key is required to authenticate all requests. Store it securely and avoid exposing it in client-side code.

Step 2: Send Requests to kling-avatar-image2video API

Once you have your API key, send POST requests to the CometAPI endpoint for kling-avatar-image2video. Include your authorization header, the model field set to kling-avatar-image2video, and the required input payload for the digital human task.

curl --request POST \
  --url https://api.cometapi.com/v1/tasks \
  --header "Authorization: Bearer YOUR_COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "kling-avatar-image2video",
    "input": {
      "image": "YOUR_IMAGE_URL_OR_DATA"
    }
  }'

Step 3: Retrieve and Verify Results

After submission, use the returned task identifier to retrieve the processing result. Verify the task status, confirm the output payload is complete, and then store or forward the generated video result to your application.

curl --request GET \
  --url https://api.cometapi.com/v1/tasks/YOUR_TASK_ID \
  --header "Authorization: Bearer YOUR_COMETAPI_KEY"

kling_avatar_image2video 的功能

了解 kling_avatar_image2video 的核心能力,帮助提升性能与可用性,并改善整体体验。

kling_avatar_image2video 的定价

查看 kling_avatar_image2video 的竞争性定价,满足不同预算与使用需求,灵活方案确保随需求扩展。
Comet 价格 (USD / M Tokens)官方定价 (USD / M Tokens)折扣
每次请求:$0.06608
每次请求:$0.0826
-20%

kling_avatar_image2video 的示例代码与 API

获取完整示例代码与 API 资源,简化 kling_avatar_image2video 的集成流程,我们提供逐步指导,助你发挥模型潜能。

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