Instructions to use Lightricks/LTX-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Lightricks/LTX-2.5 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Don't Use LTX 2.5 For Music Videos! Stick To LTX 2.3
Is newer always better? Not this time.
If you are trying to create singing AI avatars, the older LTX 2.3 model delivers significantly better results than the new LTX 2.5. Based on my rigorous testing, including the latest update released just yesterday, the problem is still very much present. LTX 2.5 clearly struggles with its text encoder (Gemma 4) implementation. This causes major issues when trying to sync and process precise audio and lip movements for musical avatars. This video is for anyone doubting whether LTX 2.5 is actually usable for external audio. After extensive benchmark tests, I absolutely cannot recommend version 2.5 for singing avatars or music-focused workflows. Save yourself hours of frustrating experimentation that will only make you want to quit using LTX 2.5 altogether. Stick to LTX 2.3 for external audio, just like in this demo, and everything will work flawlessly. It would be a huge shame to give up on LTX 2.5 completely, though. The new 2.5 version is actually excellent and highly usable for many other use cases, just not for music video clips with external audio.
Rock on! π€ Cheers!
Try this at the end of your prompt: Audio: Audio1

