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
Regarding the LTX Gemma API Text Encode node...
As an 8GB VRAM user, I'm heavily invested in this node and used it constantly with LTX 2.3. One major pain point, though: if I use a finetune or a quantized version of LTX, the node simply won't let me select it. I have to create a dummy .safetensors file with LTX 2.3 metadata just to trick it. Please keep this in mind for the future - a simple fix would be adding a dropdown in the node to pick the base version (LTX 2, 2.3, 2.5) instead of forcing a manual checkpoint selection.
Also, with LTX 2.5 out, will the node still work? I noticed the tooltip for 'enhance prompt' mentions 'Gemma 3', but LTX 2.5 uses Gemma 4. I know it might just be a label, but it's a bit concerning.
Regardless, huge thanks for making API text encoding possible - it's a genuine lifesaver for low VRAM. I do think your ComfyUI LTXVideo node pack needs a slight update, though (I tested the latest version, which had changes just 5 hours ago). Massive respect for supporting the open-source community.