Kwaivgi Kling Elements

Kwaivgi Kling Elements

Playground

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

Features

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

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

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.

Related Models

• Kling Video O3 Pro Image-to-Video — Use created elements in video generation.
• Kling Video O3 Pro Reference-to-Video — Reference-based video generation.
• Kling V3.0 Pro Image-to-Video — High-quality image-to-video generation.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-elements" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"