LTX 2.3 Distilled
LTX 2.3 Distilled
The LTX 2.3 Distilled model generates AI video in as few as 8 steps — the fast, speed-optimized checkpoint distilled from the full 22B LTX 2.3 model by Lightricks.
Turn text, images, and audio into HD video with the LTX 2.3 Distilled model. Fewer steps and a smaller VRAM footprint mean rapid iteration on everyday consumer GPUs — free to try online.
Generate for Free8 Steps Instead of 40
Where the LTX 2.3 dev checkpoint needs 20–40 denoising steps, LTX 2.3 Distilled model runs in as few as 8 steps at CFG 1.0 — several times faster for rapid iteration.
- Preview prompts in seconds, not minutes
- Lock composition and motion before a final render
- Same LTX 2.3 pipeline at a fraction of the compute
Low-VRAM GGUF Builds
Quantized GGUF versions of the LTX 2.3 Distilled model shrink the memory footprint so the model fits on mainstream consumer graphics cards.
- Q4_K_M runs in roughly 18GB of VRAM
- Lighter Q3 builds fit in about 12GB
- fp8 and nvfp4 variants for extra speed
Full Multimodal Generation
It keeps the complete text, image, and audio to video pipeline of the base LTX 2.3 model — only the step count changes.
- Text-to-video from a single prompt
- Image-to-video that animates a still
- Audio-to-video synced to a soundtrack
Runs on Consumer GPUs
Because the LTX 2.3 Distilled model needs fewer steps and less memory, you can generate locally instead of renting datacenter hardware for the heavier dev checkpoint.
- Generate offline on 12–24GB cards
- Load it through ComfyUI's two-stage LTX 2.3 workflow
- Open weights on Hugging Face, free to use
What You Can Create with 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
Draft dozens of prompt variations quickly. The 8-step inference of the LTX 2.3 Distilled model 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. Faster generation makes it practical to create and A/B test many variations in a single session.
Local Generation on Consumer GPUs
Run the LTX 2.3 Distilled model offline on a 12–24GB card using GGUF builds. Keep privacy-sensitive projects fully local without paying for cloud GPU time.
Real-Time Previsualization
Storyboard scenes and preview camera moves during pre-production, then switch to the LTX 2.3 dev checkpoint only for the final hero shots that need maximum quality.
Image and Audio to Video
Animate a still image or drive motion from an audio track. It keeps the full multimodal pipeline, so you are never limited to text prompts alone.
Social and Marketing Clips
Turn product shots and campaign ideas into short HD videos fast. The low cost per clip makes the LTX 2.3 Distilled model practical for high-volume marketing output.
How to Use LTX 2.3 Distilled
Generate fast AI video with the LTX 2.3 Distilled model 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 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 is 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. The LTX 2.3 Distilled model trades a little 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 the LTX 2.3 Distilled model match it 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
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.
LTX 2.3に対するクリエイターの声
世界中のクリエイターがLTX 2.3で動画を生成しています。
Jordan Vance
“LTX 2.3のBロールは即戦力です。”
Aisha Patel
“LTX 2.3でモックアップが即デモ動画に。”
Rachel Kim
“LTX 2.3で商品動画のコストが大幅削減。”
Jordan Vance
“LTX 2.3のBロールは即戦力です。”
Aisha Patel
“LTX 2.3でモックアップが即デモ動画に。”
Rachel Kim
“LTX 2.3で商品動画のコストが大幅削減。”
Linda Wu
“LTX 2.3で広告制作が10倍速になりました。”
Marcus Rivera
“LTX 2.3で商品写真からCMが作れます。”
Tom Eriksen
“LTX 2.3で絵コンテが映画品質で動きます。”
Linda Wu
“LTX 2.3で広告制作が10倍速になりました。”
Marcus Rivera
“LTX 2.3で商品写真からCMが作れます。”
Tom Eriksen
“LTX 2.3で絵コンテが映画品質で動きます。”
LTX 2.3 Distilled FAQ
What is LTX 2.3 Distilled?
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.
How is LTX 2.3 Distilled different from the dev model?
The LTX 2.3 dev checkpoint runs 20–40 steps and is intended for fine-tuning, LoRA training, and research where maximum quality matters. The LTX 2.3 Distilled model 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.
Why is the distilled model so much faster?
Distillation trains a student model to reproduce the output of the full LTX 2.3 model in far fewer diffusion steps. Because the LTX 2.3 Distilled model 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.
What are the VRAM requirements for LTX 2.3 Distilled?
It depends on the build. Quantized GGUF versions of the LTX 2.3 Distilled model 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.
Does LTX 2.3 Distilled keep all the input modes?
Yes. It retains the full multimodal pipeline of the base LTX 2.3 model — text, image, and audio to video generation. You keep the same creative inputs; the distilled model simply reaches a result in fewer steps.
Where can I get the LTX 2.3 Distilled model?
You can try the LTX 2.3 Distilled model 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.
How much quality do I lose with the distilled model?
For most content the difference is small. The LTX 2.3 Distilled model 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 LTX 2.3 Distilled model and only switch to dev for final hero shots that need the last bit of fidelity.
Is LTX 2.3 Distilled free to use?
Yes. The LTX 2.3 Distilled model 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.
More from LTX 2.3 AI
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.