How to run LTX 2.3 for free: unlimited local text‑to‑video on a cloud GPU

High-quality AI video generation doesn’t have to be locked behind paywalls or strict content filters. With the open-source LTX 2.3 model and a clever cloud setup, you can generate impressive text-to-video (and image-to-video) clips for free, with full control over your prompts and data.

Below is a full walkthrough of how to run LTX 2.3 on a powerful GPU in the cloud, using a simple two-click notebook—no advanced setup required.

Why Use LTX 2.3 for AI Video?

LTX 2.3 is currently one of the best open-source models for AI video generation. It supports both text-to-video and image-to-video, producing smooth, high-quality clips with detailed motion and scenes.

Unlike many closed platforms that recently moved video behind paywalls or tightened content filters, LTX 2.3 can run in your own private environment. That means:

• No prompt censorship or blocked content.
• Your data stays inside your own isolated cloud instance.
• You’re not tied to any one provider’s pricing or limitations.

This approach is ideal if you’re exploring open models in the same way many people follow developments around frontier systems like Anthropic’s Claude Mythos, but want full control over your video workflow.

Using Modal for Free Cloud GPUs

The key to running LTX 2.3 efficiently is using Modal, a platform that lets you spin up powerful GPUs on demand.

Free Credits and Hardware Choice

Modal gives every user $5 of free compute credit every month. That’s enough to run enterprise-grade GPUs like the NVIDIA A100 or H100 for short bursts.

For LTX 2.3, the sweet spot is:

• GPU: A100 40 GB (or 80 GB)
• VRAM footprint: ~30 GB, so it fits comfortably
• CPU: 1 core
• RAM: 8 GB or less

The heavy lifting happens on the GPU’s VRAM, so you can keep CPU and RAM minimal to stretch your credits.

While you could pick an H100, it’s overkill for this use case and will burn through your free credits much faster.

Setting Up the Two-Click LTX 2.3 Notebook

The workflow is designed to be beginner-friendly: once the notebook is imported into Modal, you only need two main actions to start generating videos.

Step 1: Run the Setup Cell

The first cell handles all the heavy setup:

• Installs required Python libraries.
• Downloads large model components like the VAE and text encoders.
• Prepares the LTX 2.3 pipeline for video generation.

This step usually takes around 7–8 minutes. Just start it, wait for it to finish, and don’t interrupt the process while it’s downloading and configuring everything.

Step 2: Launch the Gradio Interface

Once setup is complete, run the second cell. This starts a Gradio web interface that makes the model easy to use:

• You’ll see a live URL you can open in a new tab.
• Or you can use the interface directly inside the notebook terminal.

The interface provides two main tabs:

• Text-to-Video
• Image-to-Video

The text-to-video tab is ready to go out of the box. The image-to-video tab is also available, and you can experiment with it to transform static images into moving clips.

Generating Your First AI Video

Inside the Gradio interface, you’ll find a straightforward set of controls.

Key Settings

• Prompt: Describe the scene, style, and motion you want (e.g., “cinematic shot of a lone explorer walking through a neon-lit jungle at night, dramatic lighting, smooth camera pan”).
• Seed: Optional. Set a seed value if you want reproducible results.
• Resolution: Choose from preset or custom resolutions; higher resolutions give better quality but take slightly longer.
• Duration: Adjustable up to 10 seconds per clip.

After configuring your settings, hit Generate.

Performance and Speed

Be aware of two phases in performance:

• First generation: Takes about 2–3 minutes. This is when Modal loads the full LTX 2.3 model into GPU VRAM for the first time.
• Subsequent generations: Once the model is loaded, it’s “warm.” Even at high resolution and full 10-second duration, new videos typically render in under 1–2 minutes.

With the monthly $5 credit, you can usually generate videos almost continuously for around 2 hours before hitting the limit, depending on your settings.

Privacy, Control, and Uncensored Prompts

Because LTX 2.3 is open-source and runs inside your own Modal instance, you get several advantages over typical hosted video tools:

• No content filters: There’s no centralized system blocking or rewriting your prompts.
• Private environment: Your generations happen in an isolated cloud container, similar to running the model locally on your own machine.
• Full control: You decide how to use the model, what to generate, and how to store or delete outputs.

This setup is especially appealing if you’re exploring cutting-edge AI tools and want more control than traditional SaaS platforms allow.

How to Access the Notebook and Extend Usage

Getting the Notebook

The LTX 2.3 notebook is hosted in a public GitHub repository. You can:

• Clone the full repo containing multiple AI notebooks, or
• Download just the specific LTX 2.3 notebook file.

Once you have it, import the notebook into Modal, select the A100 40 GB profile, and you’re ready to start the two-click setup described above.

Maximizing Free Usage

By default, Modal’s $5 monthly credit already gives you a lot of rendering time. But there are a couple of ways to extend that even further.

1. Multiple GitHub Accounts
Modal uses GitHub login instead of email/password. That means each GitHub account can have its own Modal account and its own $5 monthly credit.

If you want multiple accounts, you can create extra GitHub profiles using a temporary email service. One example is omail.xyz, which provides quick, disposable addresses that can stay active as long as you need them.

2. One Account, More Credit
If you prefer to stick with a single Modal account, you can optionally add a credit card for identity verification. Modal won’t charge you just for adding the card, but they’ll reward you with $30 in free compute credit.

For LTX 2.3, that translates into a significant amount of extra video generation time—far more than the default monthly allocation.

Final Thoughts

With LTX 2.3, Modal’s free GPU credits, and a simple notebook interface, you can build your own powerful AI video studio in the cloud—without subscriptions, strict filters, or complex local installs.

Experiment with text-to-video and image-to-video, tweak resolutions and durations, and see how far you can push open-source video generation. As the broader AI ecosystem continues to evolve with new models and capabilities, having a flexible, self-controlled setup like this is a great way to stay ahead of the curve.