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
Atrocious model - object permanence/consistency is nonexistent
Hello!
I'd like to like your model, the competition and stuff, but... the model is simply a disaster.
Censorship/copyright aside, I don't know how you are going to sell it as a "world model" - there is simply NO object permanence. Objects appear, disappear, morph, transform, the image2video doesn't hold the consistency. I'm using a dev model with diffusion decoder for "higher quality" and still all the bad things persist.
The current architecture / data approach is a dead end, sorry. You really need to rethink how the model works or a "world model" is not going to happen.
See the attached video.
Please, please fix it!
After the text encoder change there is some improvement in permanence / prompt-following!