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26:42Start here
How to start making AI videos: a beginner workflow
Learn the step-by-step process of creating cinematic AI videos, from generating consistent character sheets and locations to crafting structured multi-stage prompts.
Compare models side by side
Run one prompt through up to six image models at once.
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Image, video, voice and music features, with the models behind each one.
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Free course4 parts7 guides
How to choose and use AI video models
Choose and use AI video models like Kling 4.0 and Seedance 2.5: a beginner workflow, prompting, side-by-side tests and credit-saving tips, with video guides.
The short version
An AI video model turns a prompt, a start image or a set of reference images into a short clip, and no single model is best at every shot. Most workflows make the characters, locations and props as images first, then pass them to the video model as references so each clip matches the last. Test a shot on two models before you commit a project to one, and keep the most expensive model for the shots that need it.
Part 1
Start making AI videos
A beginner workflow: make characters, locations and objects as images, then animate them with references.
1 26:42
Part 2
Learn Kling 4.0
What the new model can do, then how to prompt it, frame it in 21:9 and keep it consistent with references.
2 
8:21Kling 4.0 review: what the new AI video model can do
Discover what Kling 4.0 brings to AI video creation, including 30-second generations, Omni Reference tracking, and improved dialogue lip-sync.
3 
15:06How to use Kling 4.0: prompts, 21:9, keyframes and Omni Reference
Learn how to generate seamless 30-second AI videos using Kling 4.0 without burning credits on rerolls by mastering prompt formulas, widescreen framing, keyframes, and Omni Reference.
Part 3
Choose the right model
Kling 4.0 against Seedance 2.5 and Wan 3.0 in side-by-side tests, and how to pick a model per shot to waste fewer credits.
4 
23:10Kling 4.0 vs Seedance 2.5: which AI video model should you use
Discover what Kling 4.0 brings to AI video generation, from keyframing and omni-references to a head-to-head quality and pricing showdown with Seedance 2.5.
5 
25:59Kling 4.0 vs Seedance 2.5 vs Wan 3.0: full AI video comparison
A comprehensive side-by-side benchmark comparing Kling 4.0, Seedance 2.5, and WAN 3.0 across five real-world generative video production scenarios.
6 
17:39How to save credits on AI video: pick the right model per shot
Learn how to stop draining AI video generator credits by choosing the right models, leveraging draft modes, and taking advantage of pay-as-you-go APIs.
Part 4
Make a short film
Test a model on acting, physics, editing and a 30-second scene before you build a film on it.
7 
12:43How to make an AI short film with Kling 4.0: tests and workflow
Explore hands-on tests of Kling 4's video editing, underwater physics, dramatic dialogue, and multi-keyframe generation compared to Seedance 2.5.
Keep going
Questions about AI video models
Which AI video model is best?
It depends on the shot. In one side-by-side test in this path, the creator found Kling 4.0 strong on 30-second clips and keyframe control, and Seedance 2.5 ahead on realism and detail in several results. Run your own prompt through two models before you commit a project to one.
How do I keep characters consistent across AI video clips?
Make the character, location and props as images first, then pass the same images to every clip as references. Reference-to-video modes, such as Kling 4.0 Reference and Seedance 2.5, are built for this.
Do AI video models generate sound?
Some do. Several videos in this path show Kling 4.0 with dialogue and lip sync. On Oakgen, Kling 4.0 makes silent clips and Seedance 2.5 can generate audio, so add voice to Kling clips as a separate step.
How can I spend fewer credits on AI video?
Plan each shot before you generate it, test ideas on a cheaper model or a shorter clip, and save the most expensive model for the shots that need it. One guide in this path shows three methods of its own.