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Kling Advanced Elements

kwaivgi/kling-elements-advanced

Kling Advanced Elements creates custom AI elements from reference images or videos for consistent character and object appearance across Kling video generations. Supports multi-image elements with frontal and reference images, video character elements, and optional voice binding. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input
Hint: video_refer: Video Character Elements, at this time, the subject's appearance will be defined with reference to element_video_list. image_refer: Multi-Image Elements, whose appearance will be defined with reference to the element_image_list.

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preview

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preview

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Hint: The ID can be obtained through the voice-related API. For details, see Voice Guide “https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-v2.6-create-voice”

Idle

{
  "element_id": 307212335131305,
  "element_name": "handsome man",
  "element_type": "image_refer",
  "element_description": "a cool guy"
}

Sua solicitação custará $0.01 por execução.

Por $1 você pode executar este modelo aproximadamente 100 vezes.

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README

Kling Advanced Elements

Kling Advanced Elements creates custom AI elements from reference images or videos for consistent character and object appearance across Kling video generations. Define an element with a name, description, and reference material — the model returns a reusable element ID that can be referenced in any Kling generation to maintain identity across clips. Supports both image-based and video-based element creation, with optional voice binding for speaking characters.

Why Choose This?

  • Two reference modes Choose image_refer (frontal image + up to 4 additional reference images) or video_refer (reference video) to best match your source material.

  • Multi-image support Capture different angles, expressions, and styles with a frontal image plus up to 4 additional reference images for accurate character consistency.

  • Video character elements Define a character's full appearance and motion style from a reference video for more dynamic identity capture.

  • Voice binding Optionally attach a voice ID to the element for talking avatar and dialogue-driven video workflows.

  • Reusable across generations Created elements can be referenced by ID in any Kling video generation — use the same character across unlimited clips.

Parameters

ParameterRequiredDescription
nameYesElement name. Max 20 characters.
descriptionYesElement description. Max 100 characters.
reference_typeYesReference mode: image_refer (default) or video_refer.
frontal_imageYes (if image_refer)Front-facing reference image. Required when reference_type is image_refer.
refer_imagesNoAdditional reference images (2–4) from different angles or expressions.
element_video_listYes (if video_refer)Reference video defining the character's appearance. Required when reference_type is video_refer.
voice_idNoVoice ID to bind to the element for speaking characters.
tag_listNoCustom tags for organizing and categorizing elements.

How to Use

  1. Enter a name — give your element a clear, identifiable name (max 20 characters).
  2. Write a description — describe the character's appearance, style, and key traits (max 100 characters).
  3. Select reference_type — choose image_refer for image-based creation or video_refer for video-based.
  4. If image_refer — upload a frontal_image (required) and optionally add 2–4 refer_images from different angles.
  5. If video_refer — upload one reference video in element_video_list.
  6. Add voice_id (optional) — attach a voice ID for speaking character workflows.
  7. Add tag_list (optional) — add custom tags to organize your element library.
  8. Submit — save the returned element ID for use in Kling video generations.

Pricing

Reference TypeCost per Element
image_refer$0.010
video_refer$0.015

Best Use Cases

  • Consistent character series — Create a reusable character ID to maintain identity across multiple Kling video generations.
  • Fashion & wardrobe elements — Define clothing and styling elements for consistent use in fashion video content.
  • Brand assets — Build reusable brand mascots, logos, and product elements for marketing video workflows.
  • Talking avatar workflows — Combine element IDs with voice IDs for dialogue-driven character video generation.
  • E-commerce product elements — Define product elements for consistent product video content at scale.

Pro Tips

  • Use clear, well-lit frontal and profile images for the most accurate character identity capture.
  • For video_refer mode, use a short clip that clearly shows the character from multiple angles.
  • Give elements descriptive names and tags to keep your library organized as it grows.
  • Once an element is created, write its name naturally in your generation prompt and enter the element ID in the element_list field — no special characters required.

Notes

  • name, description, and reference_type are always required.
  • image_refer mode requires at least a frontal_image; refer_images are optional (2–4 additional images).
  • video_refer mode requires exactly 1 reference video and costs 1.5× the image_refer price.
  • Voice binding is optional and available for both reference types.
  • Voice IDs can be obtained through the voice-related API — see the Voice Guide for details.

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