LightricksLightricks·🎬 Video Generation

LTX Video 2.3 Fast

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Quick reference
LTX Video 2.3 Fast — TLDR
  • - 🆕 Lightricks' open-source LTX-2.3 family release, dated March 2026.
  • - 🎯 Image-to-video Fast variant optimized for iterative workflows.
  • - 👁️ DiT-based foundation model with synchronized native audio.
  • - 📏 Supports clips up to 20 seconds at resolutions reaching 4K.
  • - 🔧 New VAE for sharper detail, plus LoRA fine-tuning.
  • - 🔒 Released under Apache 2.0 with open weights on Hugging Face.
  • - ⚡ Pairs with a Full Quality variant for final shots.
💰 Pricing
$0.400 – $5.28
per generation
📅 On Venice since
Mar 5, 2026
90 days ago
Provider

Lightricks is a creative technology company founded in January 2013, widely recognized for its popular selfie-editing app Facetune. Originally focused on mobile video and image editing tools, the company has expanded significantly into generative AI,…

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12 models on Venice
12 video
Since Nov 27, 2024

About this model

LTX Video 2.3 Fast is the speed-optimized image-to-video endpoint within Lightricks' LTX-2.3 family, a diffusion-transformer (DiT) foundation model that generates synchronized video and audio from a single system. Per the catalog, the Fast tier is geared toward faster generation and iterative workflows. The family also ships a Full Quality tier: the LTX Video 2.3 Full Quality variant targets stable final shots, while a matching LTX Video 2.3 Fast text-to-video endpoint covers prompt-only generation.

Across the LTX-2.3 line, Lightricks' Hugging Face model card reports support for output up to 4K, clips as long as 20 seconds, native audio, a new VAE for sharper fine detail, and LoRA fine-tuning, all released with open weights under the Apache 2.0 license.

This release succeeds its same-family predecessor, LTX Video 2.0 Fast, the earlier speed-optimized image-to-video model in the LTX-2 line. The broader 19-billion-parameter LTX-2 checkpoints, including LTX Video 2.0 19B and its distilled counterpart, remain available for users who want the prior generation's weights. Training code, ComfyUI nodes, and reference workflows ship via the LTX-Video repository.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 1d ago