AI Video Generation: A Complete Guide

By Character App Team · · Updated · 12 min read

AI video generation has evolved rapidly. This comprehensive guide covers every major model available in 2026, how to choose between them, and how to get the best results from each.

The state of AI video generation in 2026

AI video generation has gone from novelty to production-ready in under two years. Models like Seedance 2, Kling, and LTX now produce cinematic quality output with features like native audio and high-resolution output.

But the landscape is fragmented. Each model has different strengths, pricing, and limitations. This guide helps you navigate the options and choose the right model for your project.

Seedance 2 (ByteDance)

Seedance 2 is ByteDance's flagship video generation model, offering high-resolution output and native audio generation. It produces cinematic-quality output with clips up to about 15 seconds.

Best for: Final cinematic renders, character-driven stories, projects where audio quality matters.

Credit cost: per-second pricing that stays competitive — notably lower per second than Kling — so you get the highest-quality output without the highest price.

Kling (Kuaishou)

Kling is available in multiple tiers: Kling V3 Pro, Kling O3 Standard, and Kling O3 Pro. The O3 series represents the latest generation with improved quality and longer clip durations (up to 15 seconds).

Kling also offers motion transfer capabilities, allowing you to drive character animations from reference video.

Best for: High-quality renders with flexible duration options. The motion transfer variants are unique for character animation.

LTX 2 Fast (Lightricks)

LTX 2 Fast may be available for text-to-video or image-to-video work. Its current capabilities, durations, audio options, and Credit price are shown in the model picker.

Model availability and routing can change, so do not treat an older LTX variant as the permanent default or cheapest option.

Best for: Use cases where its live capabilities and exact quote fit the Scene.

How to choose the right model

The model selection depends on your use case and budget:

The character consistency problem

The biggest gap in AI video generation is not model quality — it is character consistency. Every model generates each clip independently, so your character looks different in every scene.

A reusable Cast reference gives compatible supported models the same identity anchor. That can reduce drift, but no model guarantees an identical character in every Scene.

Credit-based pricing explained

Most AI video generators use Credit-based pricing. At Character App, Credits are consumed per-second for most models, with some using flat pricing per clip, and every paid action shows its exact Credits price before you confirm.

Paid plans run from 800 Credits/month (Starter, $19.99) through 1,600 Credits/month (Creator, $39.99) to 4,000 Credits/month (Pro, $99.99), and a free tier covers a handful of daily Images so you can build a cast before committing to video.

The key strategy: use a lower-cost current model for drafts, then choose a higher-cost model only for selected final Scenes. The exact quote is authoritative.

Vertical, episodic AI video is the emerging format

The most visible use of AI video in 2026 is not one-off clips — it is vertical drama. Creators are using these models to produce episodic 9:16 series in the same soap-opera-paced, cliffhanger-driven style that streaming apps popularized, but made independently rather than by a studio.

This shifts what you should optimize for. A standalone clip only has to look good once; an episodic series needs a cast that stays consistent across dozens of chapters and a way to render every shot vertically. The models above supply the raw generation, but the format is won by whichever workflow keeps characters recognizable and lets you direct scene by scene.

If your goal is a series rather than a single video, plan around consistency and vertical framing from the first render, not as an afterthought.

Getting started with AI video generation

A practical path is: (1) create a Cast reference, (2) plan your Story Scene by Scene, (3) draft with a lower-cost current model, and (4) choose a higher-cost model only for selected Scenes.

This workflow prevents wasted Credits, maintains character consistency, and produces cinematic output without trial-and-error prompting.