PDF Course + Discord · October 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. The course covers: pain-free ComfyUI setup, production-ready prompts, custom LoRA training, and a clear map of when LTX is enough and when Veo 3 is the better call.
One-time payment, no subscription · withdrawal as per the Terms
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?' Cloud models such as Veo can't offer that, LTX can.
- 4 Uncensored output without cloud content filters
Cloud models such as 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 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 a paid cloud model
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 the cloud
Module 3: AI Tools: Which to Pick and When (LTX vs the Rest)
38 pages- → 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 (Veo 3 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 (Sora 2 shut down 24.09.2026)
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 (shut down) | Veo 3 | Runway |
|---|---|---|---|---|
| Cost per clip | $0 (after GPU) | n/a (shut down) | ~$0.30–3.20 | ~$0.50–1.20 |
| Daily limits | None | n/a (shut down) | 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 | NVIDIA GPU, 8 GB+ VRAM (16–24 GB comfortable) | shut down 24.09.2026 | $19.99/mo (Google AI Pro) | $12/mo billed annually |
| 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 | Native audio (Gen-4.5) |
| Course rating | 8.4 / 10 | n/a (shut down) | 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, Veo 3 for scenes with dialogue and hyper-realistic faces. Full tool reviews: Sora 2, Veo 3, Runway, Kling. Full tool index: /narzedzia/.
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. LTX is one of the tools in the course, and I run it locally alongside cloud models. 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 Veo 3, Kling, and Runway.
Complete course
One-time payment, no subscription, no hidden costs
- ✓168-page PDF with 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)
- ✓Private student Discord, #ltx-local channel, community with 3090 / 4090 / 5090 owners
- ✓4 portfolio projects, including 2 with LTX and a custom LoRA
- ✓Lifetime access, withdrawal as per the Terms
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 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 Veo 3?
Can I get a refund if the course isn't right for me?
One-time payment, no subscription
Run LTX locally this weekend, not six months from now
You get a step-by-step ComfyUI setup, production-ready prompts for LTX-2, a recipe for your first custom LoRA, and the full hybrid workflow with Veo 3. Withdrawal rules are set out in the Terms.
Get the LTX Video Course nowOne-time payment · Lifetime access · Delivered in 1–2 minutes
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