模型支持企业博客
500+ AI 模型 API,一次搞定,就在 CometAPI
模型 API
开发者
快速入门文档API 仪表板
资源
AI 模型博客企业更新日志关于
2025 CometAPI。保留所有权利。隐私政策服务条款
Home/Models/Kling/Kling Identify Face
K

Kling Identify Face

每次请求:$0.006608
Identify Face
新
商用
概览
功能亮点
定价
API

Technical Specifications of kling-identify-face

SpecificationDetails
Model IDkling-identify-face
Model TypeImage analysis / face identification
Primary FunctionIdentify faces within submitted image inputs
Input FormatImage file or image URL, depending on endpoint configuration
Output FormatStructured identification results with face-related metadata
Integration MethodREST API
AuthenticationAPI key
Typical Use CasesFace lookup, identity matching workflows, media management, security review pipelines

What is kling-identify-face?

kling-identify-face is a face identification model available through CometAPI for detecting and identifying faces from image-based inputs. It is designed for workflows where applications need to submit an image, process facial information, and receive structured results that can be used in downstream systems or user-facing experiences.

This model can be useful in scenarios such as content organization, identity verification support flows, digital asset indexing, and automated media analysis. By exposing the capability through a standard API interface, CometAPI makes it easier for developers to integrate face identification into existing products without building the underlying model infrastructure themselves.

Main features of kling-identify-face

  • Face identification: Processes submitted images to identify faces and return machine-readable results for application use.
  • Structured API output: Returns results in a format that is easier to parse, validate, and integrate into automated systems.
  • Image-based workflow support: Fits applications that rely on uploaded images or image URLs as the primary input source.
  • Developer-friendly integration: Can be connected to backend services, internal tools, and production pipelines through standard API calls.
  • Scalable deployment option: Helps teams add face identification capabilities without managing model hosting or inference infrastructure directly.

How to access and integrate kling-identify-face

Step 1: Sign Up for API Key

Sign up on CometAPI and generate your API key from the dashboard. This key will be used to authenticate every request you send to the kling-identify-face API.

Step 2: Send Requests to kling-identify-face API

After getting your API key, send POST requests to the CometAPI endpoint for kling-identify-face. Include your API key in the Authorization header and provide the required input payload based on your use case.

curl --request POST \
  --url https://api.cometapi.com/v1/models/kling-identify-face \
  --header "Authorization: Bearer YOUR_COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "input": "YOUR_IMAGE_INPUT"
  }'

Step 3: Retrieve and Verify Results

Once the request is processed, the API will return the model output for kling-identify-face. Verify the response fields, handle any confidence or matching data returned by the model, and then pass the validated results into your application workflow or storage layer.

Kling Identify Face 的功能

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

Kling Identify Face 的定价

查看 Kling Identify Face 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:$0.006608
每次请求:$0.00826
-20%

Kling Identify Face 的示例代码与 API

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

更多模型

O

Sora 2 Pro

每秒:$0.24
Sora 2 Pro 是我们最先进、最强大的媒体生成模型,可生成带有同步音频的视频。它可以根据自然语言或图像创建细致、动态的视频片段。
O

Sora 2

每秒:$0.08
超级强大的视频生成模型,带有音效,支持聊天格式。
M

mj_fast_video

每次请求:$0.6
Midjourney video generation
X

Grok Imagine Video

每秒:$0.04
通过文本提示生成视频、为静态图像添加动画,或用自然语言编辑现有视频。该 API 支持配置生成视频的时长、长宽比和分辨率,并由 SDK 自动处理异步轮询。
G

Veo 3.1 Pro

每秒:$0.25
Veo 3.1-Pro 指的是 Google 的 Veo 3.1 系列的高能力访问/配置——这一代短时长、支持音频的视频模型带来更丰富的原生音频、改进的叙事/剪辑控制以及场景扩展工具。
G

Veo 3.1

每秒:$0.05
Veo 3.1 是 Google 针对其 Veo 文本与图像→视频系列的渐进但意义重大的更新,新增更丰富的原生音频、更长且可控性更高的视频输出,以及更精细的编辑与场景级控制。