LTX 2.3 Distilled
— Fast 8-Step AI Video Generation
Run the LTX 2.3 Distilled model at just 8 steps for rapid, low-VRAM AI video. Distilled from the full 22B LTX 2.3 model, it turns text, images, and audio into video — free to try online.
LTX 2.3 Distilled AI Video Generator
Generator wideo LTX 2.3
What Is the LTX 2.3 Distilled Model?
LTX 2.3 Distilled is the 8-step, speed-optimized checkpoint of the LTX 2.3 model. Lightricks distilled it from the full 22-billion-parameter model so it generates video in a fraction of the steps — with a much smaller VRAM footprint and only a minor trade-off in fine detail.
8 Steps Instead of 40
Where the LTX 2.3 dev checkpoint needs 20-40 denoising steps, LTX 2.3 Distilled runs in as few as 8 steps at CFG 1.0 — delivering usable results several times faster for rapid iteration.
Same Multimodal Pipeline, Lighter Footprint
LTX 2.3 Distilled keeps the full text-to-video, image-to-video, and audio-to-video pipeline of the base model, but its lower step count and quantized GGUF builds let it run on consumer GPUs the dev model can't fit.
Key Features of LTX 2.3 Distilled
Built for speed and accessibility, LTX 2.3 Distilled brings the LTX 2.3 model to everyday hardware without giving up its multimodal creative range.
8-Step Fast Inference
LTX 2.3 Distilled completes generation in roughly 8 denoising steps with a CFG value of 1, making it ideal for previewing prompts and iterating on ideas in seconds rather than minutes.
Low-VRAM GGUF Builds
Quantized GGUF versions of the LTX 2.3 Distilled model shrink the VRAM footprint to about 18GB on Q4 and around 12GB on lighter Q3 builds — enough to run on mainstream consumer graphics cards.
Full Multimodal Generation
The distilled model retains text-to-video, image-to-video, and audio-to-video generation from the LTX 2.3 base, so you keep the same creative inputs while gaining much faster turnaround.
Runs on Consumer GPUs
Because LTX 2.3 Distilled needs fewer steps and less memory, creators can generate locally on 12-24GB cards instead of renting datacenter hardware for the heavier dev checkpoint.
ComfyUI and Desktop Ready
Load LTX 2.3 Distilled through ComfyUI's two-stage LTX 2.3 workflow with the Gemma text encoder, or run it in the LTX Desktop app — reference workflows make local setup straightforward.
Open Source and Free to Use
LTX 2.3 Distilled weights are published openly on Hugging Face under the LTX Model License — free for individuals and companies under $10M annual revenue, for personal and commercial projects.
When to Use LTX 2.3 Distilled
The distilled model shines wherever speed and iteration matter more than squeezing out the last few percent of fine detail.
Rapid Prompt Iteration
Use LTX 2.3 Distilled to draft dozens of prompt variations quickly. Its 8-step inference lets you lock in composition, motion, and framing before committing to a slower high-fidelity render.
Batch Short-Form Content
Produce large volumes of TikTok, Reels, and Shorts clips with LTX 2.3 Distilled. The faster generation time makes it practical to create and A/B test many variations in a single session.
Local Generation on Consumer GPUs
Run LTX 2.3 Distilled offline on a 12-24GB card using GGUF builds. Keep your workflow fully local for privacy-sensitive projects without paying for cloud GPU time.
Real-Time Previsualization
Storyboard scenes and preview camera moves with LTX 2.3 Distilled during pre-production, then switch to the dev checkpoint only for the final hero shots that need maximum quality.
How to Use LTX 2.3 Distilled
Generate fast AI video with LTX 2.3 Distilled in three simple steps — online here, or locally in ComfyUI.
Enter Your Prompt
Describe the video you want in natural language, or upload a reference image or audio track for the LTX 2.3 Distilled model to work from.
Keep Steps Low (≈8)
LTX 2.3 Distilled is tuned for around 8 steps at CFG 1 — the default settings here are already optimized, so there's nothing to configure for fast results.
Generate and Download
Click generate and the distilled model returns your clip in seconds. Download the high-definition AI video, ready to publish or refine further.
LTX 2.3 Distilled vs Other LTX 2.3 Variants
How the distilled checkpoint compares to the other LTX 2.3 model variants and deployment options.
Dev vs Distilled
The LTX 2.3 dev checkpoint runs 20-40 steps for maximum fidelity and is built for fine-tuning and research. LTX 2.3 Distilled trades a small amount of micro-detail for roughly 8-step generation — far faster and lighter for everyday creative work.
Distilled vs Fast vs Pro
LTX 2.3 ships as dev, distilled, fast, and pro variants. Distilled targets rapid low-step iteration, fast balances speed and quality, and pro maximizes visual polish. Pick distilled when turnaround and hardware limits matter most.
GGUF Builds by VRAM
Quantized GGUF versions of LTX 2.3 Distilled let you match the model to your card: Q4_K_M runs in about 18GB of VRAM, while lighter Q3 builds fit in roughly 12GB — with a gradual trade-off in quality as size drops.
Dev + Distilled LoRA Balance
For a middle ground, load the dev model with a distilled LoRA at around CFG 4 and 20 steps. This keeps the stability of the full LTX 2.3 model while borrowing much of the distilled model's speed advantage.
Frequently Asked Questions
Everything you need to know about the LTX 2.3 Distilled model — speed, hardware, access, and how it differs from dev.
LTX 2.3 Distilled is the speed-optimized checkpoint of the LTX 2.3 video model from Lightricks. It was distilled from the full 22-billion-parameter model to generate video in as few as 8 denoising steps at CFG 1.0, delivering much faster inference and a smaller memory footprint than the dev checkpoint, with only a minor trade-off in fine detail.
The LTX 2.3 dev checkpoint runs 20-40 steps and is intended for fine-tuning, LoRA training, and research where maximum quality matters. LTX 2.3 Distilled runs around 8 steps for rapid iteration and lower VRAM use. If you want a balance, you can load the dev model with a distilled LoRA at roughly CFG 4 and 20 steps.
Distillation trains a student model to reproduce the output of the full LTX 2.3 model in far fewer diffusion steps. Because LTX 2.3 Distilled needs about 8 steps instead of 40 and runs at CFG 1.0, each generation involves a fraction of the computation, so clips render several times faster than on the dev checkpoint.
It depends on the build. Quantized GGUF versions of LTX 2.3 Distilled run in roughly 18GB of VRAM on Q4_K_M and around 12GB on lighter Q3 builds, making the model usable on many consumer GPUs. The full-precision distilled weights need more memory, so most local users pick a GGUF build matched to their card.
Yes. LTX 2.3 Distilled retains the full multimodal pipeline of the base LTX 2.3 model — text-to-video, image-to-video, and audio-to-video generation. You keep the same creative inputs; the distilled model simply reaches a result in fewer steps.
You can try LTX 2.3 Distilled directly on this platform with free credits for new users. The open weights are on Hugging Face, quantized GGUF builds are published by the community, and you can run it locally through ComfyUI's two-stage LTX 2.3 workflow or the LTX Desktop application.
For most content the difference is small. LTX 2.3 Distilled can soften some micro-detail compared with the 40-step dev checkpoint, but motion, composition, and overall coherence hold up well. Many creators draft with the distilled model and only switch to dev for final hero shots that need the last bit of fidelity.
Yes. The LTX 2.3 Distilled weights are open source on Hugging Face under the LTX Model License, free for individuals and organizations under $10 million in annual revenue for both personal and commercial projects. You can also use it here online with free credits for new users.
Try LTX 2.3 Distilled Free
Generate fast, low-step AI video from text, images, or audio with the LTX 2.3 Distilled model — free credits for new users, no local setup required.