Instructions to use Kijai/LTX2.3_comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use Kijai/LTX2.3_comfy 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
Please support INT8 Model loader for x2 Speed boost
I get a 100% speed boost, x2 with a INT8 LTX 2.3 model. Generation speed halved on a rtx 3060. Can u please support INT8 model loader + lora support? That would be a dream. There are already different INT8 models: https://huggingface.co/bertbobson/ComfyUI-INT8_ConvRot/tree/main and iam using the custom node from here https://github.com/overpresentme/ComfyUI-ltx-int8-loader/ to load the model, u just replace the model loader. Only problem: Loras do not work. There is another one here which work with loras https://github.com/BobJohnson24/ComfyUI-INT8-Fast BUT: Model initialization is very very slow, longer than the generation itself, idk why. I hope u can do it, thank you from my heart.
Got an old rusty 3xxx myself, so i tried that INT8 loader actually... For sure a speed-up at the actual inference...
I didnt try any loras though.
Something more robust and native to comfy would be great, but from the fraction of comments here and there, i think maybe its not as easy as it might sound. And FP8 being the better alternative.
But Kijai will know better ;-)
For GPUs that doesn't support FP8 natively, INT8 will certainly be faster 🤔 since FP8 will be upcasted to BF16/FP16.