Generate Videos with AI on Your Computer (Open-Source & Free)

TL;DR: LTX-2 is an open-source AI model that generates videos from text, running on your own computer with zero recurring cost. Perfect for solopreneurs who want professional video content without paying $30-50/month in subscriptions.

The landscape has shifted for creators

You’re paying for video software when the free solution already exists. Over the past two years, generative AI models have become accessible to run locally. While enterprises invest in paid APIs (Runway, DALL-E Video, Synthesia), open-source communities have developed comparable alternatives you control completely. LTX-2 is the latest—and most promising—example of this shift. You no longer have to choose between professional quality and financial independence.

If you’re a content creator, developer, or solopreneur, you’ve probably already considered using video for your projects. But the costs are prohibitive: Runway costs $12-55/month, Adobe Premiere charges annual subscriptions, and production agencies are expensive.

There’s another path.

LTX-2 is an open and free AI model that runs on your own computer. No subscription, no API calls, no credit limits. You describe the video you want, the model generates it in minutes, and you’re done. You own the result.

In this guide, you’ll learn how to use LTX-2 in practice—from setup to monetization. Without unnecessary technical jargon.

What is LTX-2 and why it matters

LTX-2 is an artificial intelligence model that transforms text into video. You write a prompt describing a scene, and it generates a video matching your description. It was recently released as open-source software, meaning anyone can download, install, and use it for free.

The model was designed to run locally—that is, on your own computer, not on cloud servers. This brings three immediate advantages:

You don’t pay for subscriptions. There’s no monthly generation limit, no credits that run out, no recurring charges. You invest once in GPU (if you don’t already have one), and then it’s free forever.

Your data stays private. Videos you generate never leave your computer. No company collects data about what you’re creating.

You have total control. You can adjust advanced parameters, integrate it into your own workflows, automate batch video generation. You have complete freedom over what you do with the videos you generate.

⚠️ Important detail: LTX-2 requires NVIDIA exclusively. If your machine has AMD or Intel Arc, you’ll need to use cloud alternatives (RunPod, Lambda Labs) with monthly costs.

Compared to paid alternatives:

LTX-2 has no recurring cost. You only invest in initial hardware (if you don’t already have a GPU).

Are you ready to use LTX-2?

Before you start, it’s important to understand if this path makes sense for you. LTX-2 isn’t as simple as clicking on a website. It runs locally, which means some technical requirements. Let’s break it down.

Hardware requirements

LTX-2 uses a GPU (graphics card) to process. It doesn’t run well on just a CPU. If you have a gaming computer, you probably already have what you need. If not, you’ll need to consider investing.

Specifically, you need an NVIDIA GPU with CUDA support. AMD and Intel are more complicated (they require workarounds).

Minimum requirements:

• RTX 3060 with 12GB VRAM. It works, but slow. Rendering a 10-second video takes 5-10 minutes. Use the “distilled” version of the model (faster, slightly lower quality).

Recommended requirements:

• RTX 4070 or higher with 16GB+ VRAM. Render time drops to 2-3 minutes. Quality improves significantly.

Ideal:

• RTX 4090 with 24GB VRAM. Fast rendering (less than 1 minute), better quality, can process multiple videos.

If you don’t have a GPU:

There are cloud alternatives like RunPod, Lambda Labs, or Vast.ai. You rent a GPU by the hour. It costs $0.50-2 per hour of use. If you generate 5-10 videos per month, that’s $5-20 monthly—still much less than Runway.

Software you’ll need

Besides the GPU, you’ll need:

Comfy UI is the visual interface for running AI models locally. It simplifies everything. You don’t need to type code—you build a visual flowchart. Think of it like Zapier, but for AI.

Windows, Mac, or Linux—works on all of them.

Internet connection—only needed to download the models (one time).

Time estimate

Full installation + model download: 45 minutes to 1 hour (depending on your internet and hardware).

Your first video: about 5-10 minutes of GPU processing, plus 5 minutes of setup.

If you’re worried about wasting time or technical complications: it really is straightforward. You won’t program anything. You’ll just click buttons and fill in text fields.

Is this for me?

Quick self-assessment:

• Do you want to create videos without paying $20-50/month? ✓
• Do you have access to an NVIDIA GPU (or can you rent one in the cloud)? ✓
• Are you not afraid to install new software? ✓

If you answered yes to all three, keep reading. If not, that’s fine—there are paid alternatives that might make more sense for your situation.

Step by step: your first video with LTX-2

I’ll guide you through this. No magic tricks here.

Step 1: Install Comfy UI

Visit comfyui.com (or search “Comfy UI Desktop”).

Download the version for your operating system (Windows, Mac, or Linux).

Open the installer and follow standard steps. It won’t ask for much configuration, just where to install.

Done. Open the application. You’ll see an interface with nodes (boxes) connected visually. It looks complicated, but it’s not—it comes with templates for everything.

Step 2: Download the LTX-2 model

Inside Comfy UI, look for the “Templates” tab (usually on the left side).

Search for “LTX” (yes, just type it).

You’ll see options:

• LTX-2 Standard: better quality, needs GPU with plenty of VRAM (RTX 4070+).
• LTX-2 Distilled: faster, lower VRAM requirement, slightly lower quality.

Choose based on your hardware. No powerful GPU? Choose “Distilled”.

Click download. It will download about 10-15 GB of the model (depending on the version). Takes 15-30 minutes depending on your internet.

Wait for the download to finish. The application will let you know when it’s ready.

Step 3: Your first video

In Comfy UI, open the LTX-2 template you downloaded.

You’ll see several fields. The main one is Prompt. This is where you describe the video you want.

Tip: be specific. Don’t write “cat”. Write “orange cat jumping on cushions in a room with natural light”. The more detail, the better the result.

Good prompt examples:

• “Woman at a laptop, typing fast, neon lighting, cyberpunk vibe, close-up camera”
• “Coffee pouring into a white cup, steam rising, morning light through the window”
• “Hand opening an envelope, document falling in slow motion, blurred background”

Write your prompt and click Generate (or “Queue Prompt”).

The GPU goes to work. You can track progress on screen. Messages appear as the model processes. The first generation is always a bit slower (GPU is warming up).

Wait. If you have an RTX 3060, it takes 5-10 minutes. With an RTX 4090, less than 1 minute.

When done, the video appears in the interface. You can preview, download, or generate again.

Step 4: Practical adjustments

Comfy UI has options to adjust quality vs speed:

Frame Count: Determines video duration. 242 frames = ~10 seconds. More frames = longer video, but takes longer to process.

Resolution (Raster Size): Up to 1920x1088 is possible. Higher resolution = more processing time. Start with 1280x720.

Which combination to use? Depends on your use case:

• YouTube Shorts (9:16, 1080p)? Use 1080x1920.
• Social media (16:9)? Use 1280x720.
• Quick and rough? Use 800x480, 242 frames.

After generating, you can download the video and edit it in traditional software (DaVinci, Premiere, etc) if you need final polish.

Tips during the process

If the application seems frozen: it’s normal. Let it run. The GPU is working hard.

If the GPU gets very hot: that’s normal too. GPU working hard = temperature rises. As long as it doesn’t exceed 85°C, you’re fine.

First generation always takes longer: Comfy UI is warming everything up. Next generations are faster.

If you get an error: 99% of the time it’s insufficient VRAM. If your model doesn’t fit on the GPU, it will complain. Solution: use the “Distilled” version or lower the resolution.

What you can really do with this?

Theory is great. Practical is better. Let’s look at real use cases.

The golden rule: LTX-2 works best with short, visual, simple scenarios. The more specific your prompt, the better the result.

YouTube Shorts and TikTok

You can generate 10-15 second videos for these formats.

Example: you have a blog about AI. You write an article. Then you generate 3-4 shorts with different “scenes” related to the content. Post to Shorts.

How to earn? YouTube ads (you need 100k+ views to monetize, but growth is fast with Shorts).

Estimate: 5-10 shorts/week generated by you = consistent channel growth = $200-500/month (after hitting 100k views).

Product explainers

Do you have a tool or SaaS? You can generate explainer videos.

“Click a button, fill a form, product activates”—LTX-2 can visualize it.

You don’t need to be on camera. You don’t need a cameraman. You just write the prompt.

How to earn? Sell your course or product. Explainer videos improve conversion by 20-30%.

Portfolio and demos

Want to show you know how to create video? Build a portfolio.

Generate 10-20 different videos, build a website, sell your video creation service.

How to earn? $500-2000 per custom video for clients (depending on complexity).

Content for blogs and courses

Your blog has text articles. Add explainer videos.

“5 tips on [topic]” can become 5 short videos explaining each tip.

Reader retention improves. SEO improves (Google likes videos).

How to make money with AI-generated videos

Ok, you can create videos. How do you monetize?

Sell services on Fiverr/Upwork

You create a profile: “I create custom explainer videos with AI”. The workflow is simple: client describes what they want, you generate with LTX-2, do 1-2 revisions if needed, and deliver the file.

Price: $100-500 per video (depending on complexity and revisions). A 10-15 second high-quality video takes 30-60 minutes of your time (setup + generation + revision).

Realistic scenario: You land 5 clients in a month = $500-2500 extra income. With experience, you move up to $200-300 per video.

Sell templates and prompts

You create 50 high-quality prompts for generating professional videos.

Sell on Gumroad, Etsy, or Stan Store for $20-50.

Each sale is 100% margin (you created it once, sell it multiple times).

50 customers buying? $1000-2500 in monthly passive income.

Launch a content agency

You get clients regularly (small shops, freelancers, personal brands).

Generate 4-8 videos per month for each.

Charge $500-2000 per client.

3-5 clients? $1500-10k monthly income.

It’s not infinite scale, but it’s sustainable.

YouTube automation

You create a channel of automated shorts.

Ideas can also come from AI (ChatGPT generates ideas, you generate videos).

Post 10 shorts/week.

After hitting 100k followers (takes 3-6 months with consistency):

YouTube ads + affiliate links + own products = $500-2000/month.

What LTX-2 doesn’t do well (and when to pay for alternatives)

Let me be honest. LTX-2 is excellent for the price, but it has limitations.

Insight: The biggest mistake is using LTX-2 for something that requires broadcast-quality or realistic faces. Use the right tool for the right job.

Human faces are still imperfect

If you want a video with a person talking, LTX-2 might generate something odd. Eyes get misaligned, expressions seem off, lips don’t sync with audio.

If you NEED realistic faces, Synthesia or D-ID (paid alternatives) are better.

Complex scenes can fail

A super simple prompt like “cat jumping” works. A complex prompt like “crowd on a subway moving naturally during rush hour” might look strange.

Result can be blurred, unnatural movement, or odd composition.

When this happens: try simplifying the prompt, or use Runway (more robust, but paid).

Water, fire, smoke movement is less natural

Dynamic, formless elements (water falling, flames, dense smoke) look a bit odd with LTX-2.

If your video depends heavily on these, again, Runway or DALL-E Video are more reliable.

Processing time

Even with RTX 4090, each video takes time. A 10-second high-quality video can take 1-5 minutes.

If you need instant rendering (client calling wanting a video in 5 minutes), you want pure cloud and speed.

RunPod is faster, but costs.

When to pay for alternatives

If you’re an agency needing guaranteed quality every day → Runway.

If you work with human faces frequently → Synthesia or D-ID.

If you need scale and speed → pure cloud (RunPod, Lambda).

If you’re a solopreneur generating your own content → LTX-2 works.

Moving forward

You’ve learned the basics. But there’s more.

Advanced techniques

Comfy UI allows:

LoRAs (Low-Rank Adapters): Small models that modify LTX-2 behavior. You can do precise camera movements (dolly in, dolly out, orbit), or stylize videos in specific ways.

Depth control: You define the depth of each object, and the model respects that structure.

Image integration: You can pass an image and ask to “animate” it, instead of generating from scratch.

These techniques deserve separate articles. For now, know they exist.

Explore other tools

LTX-2 is one option. There are others:

VideoCrafter: Older, but good for certain styles. Lower VRAM requirement.

Stable Video Diffusion: Specialized in animating static images. Excellent for this.

AnimateDiff: Focused on specific animations.

Each has its niche. You can experiment with different ones depending on the case.

Quick FAQ

How much does it cost? Free software. You only pay for a GPU (if you don’t have one), which is a one-time investment.

Do I need internet to run it? No. After you download the model, everything works offline. No limits, no tracking.

Can I sell the generated videos? Yes. You own the videos. You can sell them, include them in courses, sell them as a product.

What’s the maximum duration? These days, 10-15 seconds works well. Longer videos start to fail or look strange.

How long does it take to generate a video? With RTX 4090: less than 1 minute. With RTX 4070: 2-3 minutes. With RTX 3060: 5-10 minutes.

What if I get an error? 99% of the time it’s insufficient VRAM. Use the “Distilled” version or lower resolution.

Can I generate in batch (multiple videos at once)? Yes. You can put multiple prompts in the Comfy UI queue.

Conclusion: the time is now

You don’t need to wait for Runway to improve, or for Adobe to lower prices, or for a production agency to give you a discount.

The tool exists today. It’s free. You can get started in under an hour.

The landscape has changed. Creators who master AI video generation—even with open-source tools—will have significant competitive advantage over the next 12 months. While others are still debating which software to buy, you’ll already be producing content.

Reality: The advantage no longer lies in having access to tools. It lies in knowing how to use them to create real value. LTX-2 removes the technical and financial barrier. Creativity and consistency are up to you.

Your next step

Generate your first video today. It doesn’t need to be for a real project. Just test it. See what’s possible. Explore the limits.

Then think about how to apply this: your blog, your YouTube, your product, your portfolio.

And if you want to explore more: there are related tools, advanced techniques, and monetization opportunities that deserve separate articles.

But for now, the main thing is to test. Start today.