PDF Course + Discord · July 2026 Edition
LTX Video Course: Run Open-Source AI Video Locally on Your Own GPU
LTX Video is an open-source model by Lightricks that you run on your own GPU. Zero cloud costs, unlimited generations, complete privacy for regulated industries. This course is the first comprehensive English guide: pain-free ComfyUI setup, production-ready prompts, custom LoRA training, and a clear map of when LTX is enough and when Sora 2 is the better call.
One-time payment, no subscription · 14-day withdrawal right under consumer protection law
I know what makes LTX hard to get started with
4 walls that stop most people before they run their first LTX clip
You spend a whole weekend on ComfyUI and it keeps throwing a CUDA error
You download Python, fight with PATH, wrestle dependency versions for your 4090, everything works until the first Lightricks node — and then OOM again or missing nodes. You burn 8 hours on a configuration that takes 90 minutes once someone walks you through it step by step.
You have no idea whether your GPU can actually run LTX-2 in a reasonable time
You have an RTX 4070 12 GB, or you're stuck with a 3060, and you don't want to drop $1,500 on a 5090. But every forum has someone saying 'without 24 GB don't bother.' What you need is a concrete answer: how many seconds of clip, what resolution, what settings — for your hardware specifically.
Every LTX tutorial on YouTube is in English and skips the 'why' entirely
You watch 40-minute videos of someone clicking around ComfyUI with no explanation of the reasoning, try to reproduce it, and it doesn't work. There's nothing thorough enough to trust, so every decision is a guess.
Your LoRA comes out blurry or completely misses the client's face
You try to train a LoRA on product photos, get a model that 'remembers everything and nothing,' and the clips look worse than without it. You need a recipe: how many images, what tags, how many epochs, which hyperparameters are right for LTX-2 — not for Stable Diffusion from three years ago.
Why it is worth pushing through: LTX-2 gives you power you cannot buy from any cloud provider. No limits, no per-clip cost, complete privacy. But without a guide the installation and early prompting eat weeks, and most people quit. The course is designed so you get through those first 90 minutes carrying the weight of someone else's mistakes, not your own. See what the course includes →
What you will learn about LTX
7 LTX skills that will change your production workflow
- 1 ComfyUI + LTX-2 setup from scratch in 90 minutes
Copy-paste commands, dependency list for Windows, Linux, and Mac, exact torch and CUDA versions, verification that everything is in place before you run your first clip. Screenshots for every step.
- 2 Zero per-clip cost, unlimited generations
After the GPU investment you can generate 200 ad variants overnight without watching a meter tick up. When a client asks for 12 hook alternatives, you deliver the same day — no mental arithmetic about whether the cloud bill will eat your margin.
- 3 Full privacy — ready for regulated industries
Law firms, medical practices, fintech, public sector. Your footage never leaves your machine. Clients can sign an NDA without nervously asking 'whose server is this?' Sora and Veo can't offer that — LTX can.
- 4 Uncensored output without cloud content filters
Sora and Veo decline clips that are perfectly legal but trigger their moderation systems (violent trailer scene, medical content, political context). LTX running locally has no such problem. The course shows where the law ends and cloud paranoia begins.
- 5 Model customisation with LoRA — your style, your product
Train a LoRA on 30–60 photos of your product or a brand ambassador's face. 2–4 hours on an RTX 4090, finished file a few megabytes. Your client gets videos in a style that no competitor can replicate by downloading a shared prompt.
- 6 Production-ready image-to-video workflow — from photo to clip in 3 minutes
Client sends you a product photo. You drop it into LTX-2 in ComfyUI, set camera motion, 3 minutes later you have a 5-second 1080p clip. Full ComfyUI graph to copy, plus 3 variants for e-commerce, beauty, and food.
- 7 Open-source freedom — no vendor lock-in
OpenAI changes limits, Google doubles Veo pricing, Kling restricts its API. With LTX you hold the model weights locally. It works in 5 years, works offline, works even if Lightricks closes. That's genuine independence, not marketing.
Course curriculum
6 modules, 168 pages — LTX is the free-at-scale alternative to the hero workflow
The hero workflow in this course is built on Sora 2 and Veo 3 (cloud, fast, excellent lip-sync). LTX enters as the third leg: for regulated industries, for cheap scale (200 variants a day without a bill), and for projects that need custom LoRA. LTX gets the most attention in Module 3 (tools comparison) and Module 5 (hybrid projects). You get the full course, not just a slice.
Module 1 — Your First AI Video in 15 Minutes
30 pages- → Pipeline: 5 steps from idea to finished MP4, for cloud tools and for LTX locally
- → First LTX-2 generation right after installation — exactly the same settings as mine
- → Product avatar without a VPN and without the cloud: LTX instead of Sora
Module 2 — Ads and Content for Your Business
20 pages- → LTX for regulated industries: law firms, medical, finance — where cloud AI is a no-go
- → Local ad workflow when the client budget is tight and you do not want cloud to eat your margin
- → Scale: 200 ad variants overnight from one GPU versus paying per clip in Sora
Module 3 — AI Tools: Which to Pick and When (LTX vs the Rest)
38 pages- → Sora 2 vs Veo 3 vs Kling 3 vs Runway vs LTX — what each does best and at what cost per clip
- → ComfyUI + LTX-Video installation: complete list of pitfalls (CUDA, drivers, memory management)
- → LTX-Desktop for when you want results without touching ComfyUI, plus its limitations
- → Cheat sheet: 12 use cases — LTX is the right pick for 9 of them, cloud for 3
- → Training your own LoRA on a client product: zero cost, 2–4 hours on a 4090
Module 4 — Sound and Editing in CapCut
10 pages- → LTX-2 can generate audio in the same pass — when to trust it and when to re-dub in CapCut
- → Karaoke captions for locally generated clips
- → Lossless export: 9:16, 1:1, 16:9, 4K from LTX 2.3
Module 5 — 4 Portfolio Projects (LTX completes the hero workflow)
38 pages- → Project 1: Local ad, hybrid approach (Sora 2 for faces + LTX for 9 b-roll variants)
- → Project 2: Product reel with a custom LoRA trained on your product — 100% local
- → Project 3: B2B explainer (LTX + Veo 3) for a client with a no-cloud-AI policy
- → Project 4: Brand storytelling — 30-shot campaign in LTX with zero cloud bill
Module 6 — Publishing and Monetization
32 pages- → TikTok / Reels / Shorts algorithms 2026 for AI video — same rules whether from LTX or cloud
- → AI Video freelancer rates: when LTX gives you 4x better margin than cloud
- → Selling to privacy-sensitive clients: law firms, medical practices, banks, public sector
LTX vs the cloud
LTX (local) vs Sora 2 vs Veo 3 vs Runway — 8 parameters
Data from our tests (50 standardised prompts × 5–7 generations each, LTX running on RTX 4090 24 GB). See our testing methodology.
| Parameter | LTX (local) | Sora 2 | Veo 3 | Runway |
|---|---|---|---|---|
| Cost per clip | $0 (after GPU) | ~$0.30–0.80 | ~$0.40–1.00 | ~$0.50–1.20 |
| Daily limits | None | Yes (Pro plan) | Yes (credits) | Yes (credits) |
| Data privacy | 100% local | OpenAI cloud | Google cloud | Runway cloud |
| LoRA / customisation | Yes, train your own | No | No | Partial |
| Entry barrier | GPU 16–24 GB VRAM | ~$8/mo | ~$9/mo | $15/mo |
| 5-sec generation time | ~3–8 min (4090) | ~30–60 sec | ~40–80 sec | ~30–60 sec |
| Lip-sync quality | Weak | Good | Best-in-class | None |
| Course rating | 8.4 / 10 | 9.2 / 10 | 9.0 / 10 | 8.5 / 10 |
LTX wins on cost per clip (zero after GPU investment), privacy, and no daily limits. It loses on generation speed and lip-sync quality. That is why the course teaches a hybrid approach: LTX for 70% of clips, Sora 2 / Veo 3 for scenes with dialogue and hyper-realistic faces. Full tool reviews: Sora 2, Veo 3, Runway, Kling. Full tool index: /narzedzia/.
From students already earning with local LTX
What people who run LTX in production say
"After the course I set up LTX on my 4090 and now generate client clips without watching Sora's credit counter. My margin jumped from 30% to 80% — one project paid back the GPU."
"We had a no-cloud-AI policy for client data. Sora and Veo were out. LTX running locally solved the problem. We now generate 50 ad variants a day at zero marginal cost."
"We train LoRAs on client products. Competitors copy prompts from TikTok; we have a custom model they cannot reproduce. First time I've had a real technical advantage."
About the author
Łukasz Kowalski, AI Video Course Creator
I've been producing AI video professionally since 2023. I've been running LTX-2 on my own RTX 4090 since its launch — 30+ hybrid projects (LTX + cloud) and two custom LoRAs trained for e-commerce clients. Every model goes through 50 standardised prompts (see how we test). This chapter of the course grew from notes I was looking for in English when ComfyUI kept throwing CUDA errors at 2 AM — and couldn't find.
More about the author →Pricing
One payment. Lifetime access. LTX course plus 4 cloud models.
Complete course
One-time payment, no subscription, no hidden costs
- ✓168-page PDF with Sora 2, Veo 3, Runway, Kling, and LTX local workflows
- ✓Step-by-step ComfyUI + LTX installation guide (Windows / Linux / Mac)
- ✓12-page workbook with exercises including your first custom LoRA
- ✓48-page prompt bank (LTX prompts are English-first, ready-to-copy templates)
- ✓Discord 24/7 — #ltx-local channel, community with 3090 / 4090 / 5090 owners
- ✓4 portfolio projects — including 2 with LTX and a custom LoRA
- ✓Lifetime access, 14-day withdrawal right under consumer law
Stripe · Card · Apple Pay · Google Pay. Access delivered in 1–2 minutes after payment.
FAQ
Common questions about the LTX Video course
What GPU do I need to run LTX Video locally?
Does LTX work on a MacBook or without an NVIDIA card?
How do I install ComfyUI and LTX-Video step by step?
How does LTX quality compare to Sora 2 and Veo 3?
Can I train my own LoRA with LTX?
Can I use LTX commercially and show the output to clients?
How do I write effective prompts for LTX Video?
If I have LTX running locally, do I still need Sora 2 or Veo 3?
Can I get a refund if the course isn't right for me?
June 2026 edition — current pricing ends at month close
Run LTX locally this weekend, not six months from now
You get the ComfyUI setup I spent three weekends figuring out, production-ready prompts for LTX-2, a recipe for your first custom LoRA, and the full hybrid workflow with Sora 2 and Veo 3. 14-day withdrawal right under consumer protection law, so zero risk.
Get the LTX Video Course nowOne-time payment · Lifetime access · Delivered in 1–2 minutes
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