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kling_v1_6_multi_i2v

Generate Kling V1.6 multi-image videos from reference images with subject consistency.

1|Updated Apr 11, 2026
Search Tags:#video-generation#reference-images#image-to-video#kling#seacloud-cli#subject-consistency
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-v1-6-multi-i2v
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kling_v1_6_multi_i2v
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/video/kling_v1_6_multi_i2v
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-v1-6-multi-i2v

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate a Kling V1.6 multi-image video from multiple reference images with subject consistency.

Core Features & Use Cases

  • Multi-image Kling video generation with consistent subject across references.
  • Use cases include scenarios with several reference images where a single coherent video is required, such as marketing demos, portfolio showcases, or creative campaigns.
  • Prefer this skill over single-image Kling video models when cross-reference consistency matters.

Quick Start

Provide your reference images and a prompt, then run seacloud run kirin_v1_6_multi_i2v to generate the video.

Frequently Asked Questions about kling_v1_6_multi_i2v

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a video from multiple reference images with subject consistency?▼

To generate a video from multiple reference images with subject consistency, provide your image list and prompt, then run the seacloud CLI command to create a single coherent Kling V1.6 video. This approach is ideal for marketing demos or portfolio showcases.

When should I use multi-image video generation instead of animating each source image separately?▼

Use multi-image video generation when you need cross-reference subject consistency across several images. It is preferred over single-image Kling video models when a single coherent video output is required for creative campaigns or portfolio showcases.

What inputs are required for Kling multi-image video generation via the CLI?▼

Kling multi-image video generation requires a validated image list and a prompt. The process enforces correct CLI parameter mapping against the live JSON spec to ensure your reference images produce a consistent video output.

Does the Kling multi-image video generator handle error handling for reference images?▼

Yes, the Kling multi-image video generator validates required fields like image list and prompt against the live JSON spec. It provides guidance for safe usage and error handling to ensure your reference images generate correctly.

What are the limitations of generating Kling V1.6 videos from multiple references?▼

Generating Kling V1.6 videos from multiple references requires strict parameter mapping and field validation. Without proper image list and prompt alignment against the JSON spec, the CLI command may fail to produce the coherent video output.

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