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Kling Elements

kwaivgi/kling-elements

Kling Elements creates custom AI elements from reference images for video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

preview

Hint: You can drag and drop a file or click to upload

preview

Idle

{
  "tag_list": null,
  "element_id": 855684303940878500,
  "element_name": "Work Suit",
  "element_description": "Female white-collar work clothes"
}

Your request will cost $0.01 per run.

For $1 you can run this model approximately 100 times.

One more thing:

ExamplesView all

README

Kling Elements

Kling Elements creates custom AI elements from reference images for video generation. Define reusable visual elements — characters, clothing, objects, or styles — that can be consistently applied across multiple Kling video generations.

Why Choose This?

  • Reusable AI elements Create custom elements once, use them across multiple video generations for consistent results.

  • Multi-reference support Upload multiple reference images to better capture the element's visual characteristics.

  • Character consistency Maintain the same character appearance, clothing, or style across different videos.

  • Simple workflow Define elements with a name, description, and reference images — ready to use in video generation.

  • Affordable pricing Just $0.01 per element creation.

Parameters

ParameterRequiredDescription
nameYesName for the element (e.g., "Work Suit", "Main Character")
descriptionYesDescription of the element's visual characteristics
imageYesPrimary reference image (URL or upload)
element_refer_listYesAdditional reference images (click "+ Add Item" to add)
tag_listNoTags for organizing and categorizing elements

How to Use

  1. Enter element name — give your element a clear, descriptive name.
  2. Write description — describe the element's visual characteristics in detail.
  3. Upload primary image — provide the main reference image.
  4. Add reference images — upload additional images showing the element from different angles or contexts.
  5. Add tags (optional) — categorize your element for easier management.
  6. Run — submit to create your custom AI element.
  7. Save the element_id — use this ID in Kling video generation to apply the element.

Pricing

OutputCost
Per element$0.01

Best Use Cases

  • Character Consistency — Create character elements for consistent appearance across video series.
  • Wardrobe Management — Define clothing elements for virtual try-on or fashion videos.
  • Brand Assets — Create reusable brand elements (logos, mascots, products) for marketing videos.
  • Style Templates — Define visual styles that can be applied consistently.
  • Product Visualization — Create product elements for e-commerce video content.

Pro Tips

  • Use multiple reference images showing the element from different angles for better recognition.
  • Write detailed descriptions including colors, textures, and distinctive features.
  • Keep element names clear and descriptive for easy identification later.
  • Use tags to organize elements by project, category, or use case.
  • Save the returned element_id — you'll need it to use the element in video generation.

Notes

  • All required fields (name, description, image, element_refer_list) must be provided.
  • The output includes an element_id that can be used in Kling video models.
  • Ensure uploaded image URLs are publicly accessible.
  • Multiple reference images improve element consistency.

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