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 about fp8 transformer only?
what about fp8 transformer only?
what about fp8 transformer only?
Wait a bit.
does ltx-2.3_text_projection_bf16.safetensors replace ltx-2-19b-embeddings_connector_distill_bf16 from LTX-2?
does ltx-2.3_text_projection_bf16.safetensors replace ltx-2-19b-embeddings_connector_distill_bf16 from LTX-2?
So the text encoder needs the text_embedding_projection layers, this can be used in the Dual CLIP loader like before.
And the actual connector weights are now in the model itself, so those are no longer separate.
Your old workflow is working great with 2.3 after KJ Node update. (I think tiny previews took a hit though. I was using dev with distilled lora previously and now the available distilled fp8. will try dev/distilled lora once available). It does work with old loras although still testing those. Thanks!
Your old workflow is working great with 2.3 after KJ Node update. (I think tiny previews took a hit though. I was using dev with distilled lora previously and now the available distilled fp8. will try dev/distilled lora once available). It does work with old loras although still testing those. Thanks!
Yeah if the VAE is new, we gonna need new tiny VAE as well.