Updated: Mar 7, 2026
tool
Version 3.0 has been updated to use LTX 2.3
LTX 2.3 should provide some enhancements such as sharper video
Better audio
Etc..
The normal models are HUGE, can't be used by most people.
This workflow used GGUF for model and text endcocder, gemma.
Trying to keep footprint small, but its getting hard to do.
**************LTX 2.3 VERSION*************
https://huggingface.co/Lightricks/LTX-2.3/tree/main (upscaler)
https://huggingface.co/QuantStack/LTX-2.3-GGUF/tree/main/LTX-2.3-distilled (main gguf)
https://huggingface.co/Kijai/LTX2.3_comfy/tree/main (vae, text projector)
./models/text_encoders
gemma-3-12b-it-Q2_K.gguf (this is only 4GB for low vram)
ltx-2.3_text_projection_bf16.safetensors
./models/unet (DISTILLED version, distilled only needs 8 steps)
LTX-2.3-distilled-Q5_K_S.gguf (Distilled version provides benefits for low vram)
./models/vae (2.3)
LTX23_audio_vae_bf16.safetensors
LTX23_video_vae_bf16.safetensors
./models/latent_upscale_models (2.3)
ltx-2.3-spatial-upscaler-x2-1.0.safetensors
Models are in a Subgraph.
