Kling: Kling v2 Multi Image To Image API

Kling-v2/multi-image2image is a specialized high-fidelity synthesis model designed for "Multi-Reference Blending" and "Identity Preservation." By inputting multiple reference images (such as different angles of a character or a combination of a person and a specific landscape), the model uses an advanced Cross-Attention Fusion mechanism to extract and merge features with pixel-level precision. This model effectively solves the "character drift" issue in AI generation, making it the industry's go-to solution for professional IP development and consistent storyboard creation. It supports a wide range of aspect ratios and maintains the cinematic texture characteristic of the Kling 2.0 series.

Frequently Asked Questions

What is the knowledge cutoff of Kling v2 Multi Image To Image?

The knowledge cutoff of Kling v2 Multi Image To Image is 2026-02-28.