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PDF Course + Discord · October 2026 Edition

Text-to-Video AI Course: 4 Models, One Decision Framework, Full Workflow

From idea to finished clip in 5 minutes. No camera, no equipment, no prior experience. This course teaches you what text-to-video is, how AI models generate clips from text, when to choose Veo 3, Runway, Kling, or LTX, and how to write prompts that produce professional-quality output.

168-page PDF 4 text-to-video models 48-page prompt bank Private student Discord Lifetime access
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I know what's holding you back

4 things that stop people from getting started with text-to-video

You're not quite sure what text-to-video actually is

You keep hearing 'Veo', 'Kling', 'diffusion', 'image-to-video', 'prompt engineering', but nobody has explained in plain terms what actually happens when you type a sentence and a clip comes out. There's a mental barrier you haven't been able to cross.

Every model does something different and you don't know which to pick

You open YouTube and one tutorial shows Veo, the next one Runway, the third Kling, the fourth LTX. Each creator calls their favourite the best. You waste weeks testing them one by one instead of knowing upfront which one fits your task.

No reference point: you don't know what 'a good clip' actually looks like

You generate something, it looks OK, but you can't tell if it's professional quality or amateur. You show it to friends, they say 'nice', but a client probably wouldn't pay for it. No benchmarks, no feedback loop.

Tool paralysis: you start and never finish

You sign up for one tool, read that Veo is better, sign up for that too, then see LTX is free so you install it locally. A week later you have 4 accounts and zero finished clips. This is classic tool-FOMO, the course cures it.

Why this matters: In 2026, text-to-video means several models, each good at different things and weak at others. Without a system, you learn one, try another, get frustrated, and give up. This course gives you the map of the whole technology so you know exactly where you're going from day one. See exactly what you get →

What you will learn

7 concrete skills you will leave the course with

  • 1
    A complete introduction to text-to-video: what it is and how it works

    What video diffusion is, why clips are 5–10 seconds rather than 5 minutes, why the first generation is sometimes great and subsequent ones worse. Explained without maths, using visuals and analogies. You will finally understand what is happening under the hood.

  • 2
    A comparison of 4 text-to-video models, tested on the same prompts

    Veo 3, Runway Gen-4, Kling 3, and LTX, each tested across 50 standardised prompts. Real screenshots, ratings, strengths, and weaknesses. Not marketing, hard data from our lab.

  • 3
    Cheat sheet: which model to pick for each specific task

    12 use cases (product ad, B2B explainer, social reel, talking avatar, scenery, action, two-character dialogue, and more), each with a specific recommendation from the 4 models and a clear reason why.

  • 4
    Your first clip in 5 minutes, from opening the PDF to a finished MP4

    A concrete recipe for complete beginners. Account setup, settings, prompt, generation, export. An early win so you know this works before you dive deeper into theory.

  • 5
    Prompt template with 6 required elements

    Scene, character, action, camera, lighting, style, in that order, with specific examples. Plus a 48-page prompt bank for 35 industries, ready to copy and adapt.

  • 6
    Edge cases: long clips, audio, image-to-video transitions

    How to stitch a 90-second film from 9 text-to-video clips, when to add audio in CapCut instead of using native model audio, when to start from a photo (image-to-video) rather than a pure text prompt. Three techniques that separate amateurs from professionals.

  • 7
    Full workflow: from text-to-video to a deliverable for a client

    Brief, concept, prompt drafting, generation, selection, editing in CapCut, export for TikTok / Reels / Shorts. The complete pipeline you can pick up tomorrow and use to deliver a paid project.

Course curriculum

6 modules, 168 pages, and text-to-video is the spine of the entire course

Text-to-video is the foundation on which every project in the course is built. You learn the technique in theory and immediately apply it to real tasks across 4 models, so from day one you know what works, when, and why.

Module 1: What Text-to-Video Is and Your First Clip in 5 Minutes

30 pages
  • → What a text-to-video model actually does, explained without maths, with visuals
  • → 5 minutes from opening the PDF to your first clip: a recipe for complete beginners
  • → Anatomy of a good prompt: the 6 elements that must always be present

Module 2: Prompt Template: 6 Elements You Always Need

20 pages
  • → Prompt structure: scene, character, action, camera, lighting, style
  • → 48-page prompt bank for 35 industries, ready to copy and paste
  • → When to write in English vs when your native language works fine

Module 3, Overview of 4 Text-to-Video Models: When to Use Which

38 pages
  • → Veo 3 vs Runway Gen-4 vs Kling 3 vs LTX, compared across 7 parameters
  • → 12-task cheat sheet with a specific model recommendation for each use case
  • → Camera control: dolly, orbit, crane in prompts for each model
  • → Lip-sync quality: which model handles it best and why

Module 4: Edge Cases: Long Clips, Audio, Image-to-Video

10 pages
  • → '90-second film from 9 text-to-video clips' workflow, from brief to export
  • → When to use native model audio vs adding it in CapCut
  • → Image-to-video: when to start from a photo instead of a pure text prompt

Module 5, 4 Portfolio Projects (Mix of 4 Models)

38 pages
  • → Project 1: Local business ad with text-to-video, from brief to MP4
  • → Project 2: E-commerce product reel (image-to-video + text-to-video)
  • → Project 3: B2B explainer video (Veo 3)
  • → Project 4: Brand storytelling: a narrative short film

Module 6: Publishing, Monetising, and Continuing Your Growth

32 pages
  • → TikTok / Reels / Shorts algorithms in 2026 for AI video
  • → AI Video freelancer rate card 2026: real project ranges
  • → From freelancer to agency: when to scale a text-to-video workflow
Start the Text-to-Video Course now

4 text-to-video models

Sora 2 vs Veo 3 vs Runway vs Kling vs LTX, 7 parameters (Sora 2 shut down 24.09.2026)

Data from our tests (50 standardised prompts × 5–7 generations each, on every model). Full methodology at testing methodology.

Parameter Sora 2 (shut down) Veo 3 Runway Kling LTX
Max clip length n/a (shut down) 8s (extend up to 148s) 10s 15s 20s
Native audio Yes, lip-sync Yes, lip-sync Yes (Gen-4.5) Yes, dialogue EN/ZH/JA/KO/ES Yes (weaker lip-sync)
Multilingual prompts Yes, good Yes, best Partial Weak (use EN) Weak (EN only)
Starting price shut down 24.09.2026 $19.99/mo (Google AI Pro) $12/mo billed annually $10/mo Free (GPU)
Best for Realism, physics Dialogue, lip-sync Camera moves, image-to-video Budget, character motion Local, no per-clip cost
Entry barrier Low Low Medium Low High (technical)
Course rating n/a (shut down) 9.0 / 10 8.5 / 10 8.3 / 10 7.8 / 10

Each model wins in a different category. Veo 3 on dialogue and lip-sync, Runway on precise control, Kling on price, LTX on local generation with no per-clip cost. That is exactly why the course teaches you when to choose which, based on your specific task. Individual courses: Veo 3, Runway, Kling, LTX Video.

Results in practice

See what the same tools produce

AI reels from our own TikTok and YouTube accounts, 352K views in total. The same tools and prompts the course teaches.

See the reels →

About the author

Łukasz Kowalski, AI Video Course Creator

I have been creating AI video since 2024 and run my own AI reel accounts on TikTok and YouTube. Every tool goes through 50 standardised prompts before it enters the course (see how we test). This course grew out of notes I was searching for when I started and could not find in one place.

More about the author →

Pricing

One payment. Lifetime access. The complete text-to-video course.

2026 EDITION

Complete course

$59

One-time payment, no subscription, no hidden costs

  • ✓168-page PDF with text-to-video workflow across 4 models
  • ✓12-page workbook with step-by-step exercises
  • ✓48-page prompt bank (35 industries, ready to copy-paste)
  • ✓12-task cheat sheet: which model to use for each job
  • ✓Private student Discord, community + updates when models ship new features
  • ✓4 portfolio projects (Veo, Runway, Kling, LTX all used)
  • ✓Lifetime access, withdrawal as per the Terms
Get the Text-to-Video Course

Stripe · Card · Apple Pay · Google Pay. Access delivered in 1–2 minutes after payment.

FAQ

Common questions about the text-to-video course

What exactly is text-to-video and how does it work?
Text-to-video is a technique for generating a film clip from a text description. You type a prompt (for example, 'a woman pouring coffee by a window, warm light, dolly-in camera') and an AI model generates a 5–20-second clip. Under the hood, the model uses video diffusion in latent space, the same mechanism as image generators, extended across frames with a temporal consistency layer. The course explains this without maths, using real examples and a concrete English prompt template.
Which text-to-video model is the best in 2026?
There is no single best. Veo 3 has the best lip-sync and native audio, with 8-second clips that you can lengthen through extend. Sora 2 was shut down on 24.09.2026. Runway Gen-4 gives cinematic camera movement described in the prompt and strong image-to-video. Kling 3 is the most affordable. LTX is open-source and runs locally on a GPU with no generation limits. The course gives you a 12-task cheat sheet with a specific model recommendation for each scenario.
How much does using text-to-video models cost on an ongoing basis?
The cheapest entry point is around $10/month (Kling Standard), or free if you run LTX locally on your own GPU. For professional use, expect $30–70/month for one or two subscriptions plus per-generation fees on fal.ai or Kie.ai. That is still dozens of times cheaper than an agency that charges $600–1,200 for a single ad clip. The course pays for itself the first time you produce an ad yourself instead of outsourcing it.
Does the prompt language affect output quality?
It depends on the model. Veo 3 handles multilingual prompts well, quality is almost the same as English. Kling 3 and LTX strongly prefer English. Runway Gen-4 is somewhere in between. The key is prompt structure, not just the language. The course gives you a 48-page prompt bank with ready-made English templates for 35 industries, plus rules for when to write in English even when you would normally use another language.
What is the difference between text-to-video and image-to-video?
Text-to-video starts from a pure prompt: the model invents the entire scene. Image-to-video starts from a photo (a product shot, for example) and the model animates it, adds camera motion, and brings the scene to life. Image-to-video gives you more control over exactly what appears in the clip, which is why it is popular for product advertising. The course teaches both workflows and shows how to combine them in a single project.
How long can clips be in text-to-video models?
Standard is 5–10 seconds for most models. Veo 3 generates 4, 6, or 8 seconds per generation, and extend adds 7 seconds at a time (up to 148 seconds, 720p only). For a longer film, you combine 5–10 clips in CapCut or Premiere, each with a different prompt, plus one image-to-video clip to maintain character or product continuity. The course walks through a '90-second film from 9 text-to-video clips' workflow from brief to export.
Can I use text-to-video clips commercially?
Yes. Most models grant commercial rights on paid plans. Veo 3, Runway, Kling, and LTX all allow using clips in client ads, your own business, and social media. The EU AI Act 2026 requires disclosing that content is AI-generated, but that means a caption or description tag, not a watermark embedded in the clip.
Do I need an expensive computer or GPU?
No. Veo 3, Runway, and Kling all run in the cloud, generation happens on Google/Runway/Kuaishou servers. A browser and a decent internet connection are all you need. Only LTX, if you want to run it locally, requires a GPU with 8 GB+ VRAM, but that is an advanced option. The course assumes you are working from a laptop.
Is this course a PDF or a video course?
PDF + Discord. 168 pages in the main course PDF, 12 pages of workbook, 48 pages of prompt bank. Plus a private Discord community where updates are posted when OpenAI, Google, or Kuaishou ship new features. Lifetime access: you never lose access after purchase.

One-time payment, no subscription

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You get the complete map of text-to-video technology. Four models, one decision framework, a full production workflow. Withdrawal rules are set out in the Terms.

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