AI Music Generator

LTX 2.3 is a 22-billion-parameter open-source AI video model built by Lightricks on the Diffusion Transformer (DiT) architecture. It supports text-to-video, image-to-video, audio-to-video, and video-to-video generation with native portrait output, rebuilt VAE, and a 4x-expanded text connector for more accurate prompt interpretation. Model weights are available on Hugging Face for both dev and distilled checkpoints.

No. On ltx23.app all rendering happens in the cloud — no local GPU, VRAM, or desktop installation required. If you prefer running locally, LTX 2.3 supports ComfyUI workflows and GGUF/FP8 quantized formats for lower hardware requirements. The recommended local setup is an NVIDIA GPU with 32 GB+ VRAM, 32 GB RAM, and 60 GB storage on Windows.

On H100 GPUs, the LTX 2 series achieves roughly 18x the throughput of WAN 2.2 14B, making it significantly faster for batch rendering. LTX 2.3 also introduces native 9:16 portrait video, a reworked audio vocoder, and sharper edge detail from its rebuilt latent space — improvements not yet matched by most competing open-source models.

Videos render at up to 1080p HD in 16:9, 9:16, 1:1, and 4:3 aspect ratios with durations from 4 to 20 seconds including audio-synced output. LTX 2.3 is the first in its line to support native vertical 1080x1920, trained on real portrait data rather than cropped landscape. Prompts accept up to 2,000 characters for detailed scene descriptions.

Yes. New accounts on ltx23.app receive free credits to try AI video generation. After that, you can purchase additional credits or subscribe to a plan to keep creating. Subscription plans offer volume discounts for frequent creators.

Yes. Videos generated on ltx23.app include full commercial rights — no watermarks, no royalty fees. The open-source license also permits commercial use of locally generated outputs for qualifying organizations, covering advertising, social media, broadcast, and print.

LTX 2.3 is available as a base checkpoint, distilled checkpoint with LoRA, FP8 scaled variant, and GGUF quantized format. It integrates directly with ComfyUI for custom workflows including first-and-last-frame control, spatial upscaler, depth conditioning, and IC-LoRA motion tracking. All weights are downloadable from Hugging Face.

Create a free account on ltx23.app, enter a text prompt describing your video, optionally upload a reference image or audio, set parameters like duration and aspect ratio, then click generate. Your video is ready to download in moments — no video editing or AI expertise required.