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
what model should i use ?
I have 5060TI 16GVram + 32RAM. what model should i use ?
Try the ltx-2.3-22b-distilled_transformer_only_fp8_scaled.safetensors
https://huggingface.co/Kijai/LTX2.3_comfy/tree/main/diffusion_models
But since you are on 5xxx series you can also try the input_scaled versions that might improve speed
And combine it with a Gemma fp8 scaled:
https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders
It might be more than your computer can handle, but with ComfyUI offloading etc, it might work ;-)
Alternatively you can use GGUF model for both LTX and Gemma.
Try something like Q4 for the LTX model and Q2 for Gemma.
But even the GGUF models for LTX are quite large (but you can get quite small Gemma, that might help)
Try the ltx-2.3-22b-distilled_transformer_only_fp8_scaled.safetensors
https://huggingface.co/Kijai/LTX2.3_comfy/tree/main/diffusion_modelsBut since you are on 5xxx series you can also try the input_scaled versions that might improve speed
And combine it with a Gemma fp8 scaled:
https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encodersIt might be more than your computer can handle, but with ComfyUI offloading etc, it might work ;-)
Alternatively you can use GGUF model for both LTX and Gemma.
Try something like Q4 for the LTX model and Q2 for Gemma.But even the GGUF models for LTX are quite large (but you can get quite small Gemma, that might help)