Deploy LTX-2.3
VideoLTX-2.3 is the fastest open-source video model with native audio generation. 22B parameters, generates synchronized video+audio in a single pass. Up to 4K resolution and 50 FPS. 18x faster than Wan 2.2.
Deploy LTX-2.3 in minutes
Starting at $0.66/hr on dedicated GPU
Available Variants (2)
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
LTX-2.3 22B Distilled Distilled (Recommended) | A100 80GB PCIe | 80 GB | $1.85/hr | Deploy |
LTX-2.3 22B Distilled FP8 Distilled FP8 (24GB GPU) | RTX A6000 | 48 GB | $0.66/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
ModelPilot assigns 48–80GB cloud GPUs across the listed variants. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.66/hr with no setup required.
Use Cases
- ✓Fast video prototyping with audio
- ✓Social media video content
- ✓Music video generation
- ✓Product video ads
Related Models
Frequently Asked Questions
How much GPU memory is allocated for LTX-2.3?
The listed ModelPilot variants use 48–80GB cloud GPUs. Local memory needs vary with the variant, precision, quantization, and workflow settings.
How much does it cost to run LTX-2.3?
Starting at $0.66/hr on a dedicated GPU. Charges are calculated from actual running time, with auto-stop when credits run out.
How long does LTX-2.3 take to deploy?
Video models typically take 15–30 minutes for first deployment (model download + setup). Subsequent starts are faster.
Can I run LTX-2.3 on my local GPU?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy LTX-2.3?
Pick your GPU and have it running in minutes. No infrastructure setup required.