LTX-2 Updates

https://reddit.com/link/1qdug07/video/a4qt2wjulkdg1/player We were overwhelmed by the community response to LTX-2 last week. From the moment we released, this community jumped in and started creating configuration tweaks, sharing workflows, and posting optimizations here, on, Discord, Civitai, and elsewhere. We've honestly lost track of how many custom LoRAs have been shared. And we're only two weeks in. We committed to continuously improving the model based on what we learn, and today we pushed an update to GitHub to address some issues that surfaced right after launch. **What's new today:** **Latent normalization node for ComfyUI workflows** \- This will dramatically improve audio/video quality by fixing overbaking and audio clipping issues. **Updated VAE for distilled checkpoints** \- We accidentally shipped an older VAE with the distilled checkpoints. That's fixed now, and results should look much crisper and more realistic. **Training optimization** \- We’ve added a low-VRAM training configuration with memory optimizations across the entire training pipeline that significantly reduce hardware requirements for LoRA training.  This is just the beginning. As our co-founder and CEO mentioned in last week's AMA, LTX-2.5 is already in active development. We're building a new latent space with better properties for preserving spatial and temporal details, plus a lot more we'll share soon. Stay tuned.