Instructions to use RuneXX/LTX-2.3-Workflows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX-2
How to use RuneXX/LTX-2.3-Workflows with LTX-2:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --extra natten
# Download weights from this repo # Substitute filenames from this repo's "Files and versions" if they differ hf download RuneXX/LTX-2.3-Workflows \ diffusion_models/<distilled-transformer>.safetensors \ text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \ vae/<video-vae>.safetensors \ vae/<audio-vae>.safetensors \ latent_upscale_models/<spatial-upsampler>.safetensors \ latent_upscale_models/<temporal-upsampler>.safetensors \ --local-dir models/LTX-2.3-Workflows # DFR requires the detailing IC-LoRA (separate repo; strength is fixed at 0.5) hf download Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler --local-dir models/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler# Distilled LTX-2.5 pipeline (fast) uv run python -m ltx_pipelines.distilled \ --transformer-path models/LTX-2.3-Workflows/diffusion_models/<distilled-transformer>.safetensors \ --text-encoder-path models/LTX-2.3-Workflows/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \ --video-vae-path models/LTX-2.3-Workflows/vae/<video-vae>.safetensors \ --audio-vae-path models/LTX-2.3-Workflows/vae/<audio-vae>.safetensors \ --spatial-upsampler-path models/LTX-2.3-Workflows/latent_upscale_models/<spatial-upsampler>.safetensors \ --num-frames 121 \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# DFR pipeline (higher detail fidelity; optional temporal 2x/4x) uv run python -m ltx_pipelines.dfr_pipeline \ --transformer-path models/LTX-2.3-Workflows/diffusion_models/<distilled-transformer>.safetensors \ --text-encoder-path models/LTX-2.3-Workflows/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \ --video-vae-path models/LTX-2.3-Workflows/vae/<video-vae>.safetensors \ --audio-vae-path models/LTX-2.3-Workflows/vae/<audio-vae>.safetensors \ --spatial-upsampler-path models/LTX-2.3-Workflows/latent_upscale_models/<spatial-upsampler>.safetensors \ --temporal-upsampler-path models/LTX-2.3-Workflows/latent_upscale_models/<temporal-upsampler>.safetensors \ --detailing-lora models/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors \ --spatial-upscalings 1 \ --temporal-upscalings 1 \ --height 1088 \ --width 1920 \ --num-frames 121 \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For 4K: --spatial-upscalings 2 --width 3840 --height 2176 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Where to save the files
In case someone is stuck on where to put the files.
The file structure is as follows for the files downloaded :
-- ComfyUI/models
---------diffusion_models
--------------- ltx-2.3-22b-dev/distilled_transformer_only_XXX .safetensors (fp8 and fp16)
--------- text_encoders
-------------- gemma_3_12B_it_XXXX.safetensors (fp8, fp8, scaled etc)
-------------- ltx-2.3_text_projection_bf16.safetensors
--------- vae
-------------- LTX23_audio_vae_bf16.safetensors
-------------- LTX23_video_vae_bf16.safetensors
-------------- taeltx2_3.safetensors (tiny vae for sampler previews, optional)
--------- loras
-------------- ltx-2.3-22b-distilled-lora-XXX.safetensors (currently there are many variants, but the one at Kijai works great)
--------- latent_upscale_models
-------------- ltx-2.3-spatial-upscaler-x2-1.1.safetensors
--------- Unet
-------------- any LTX gguf model
Where to find the models
Most of the models are here :https://huggingface.co/Kijai/LTX2.3_comfy/tree/main
Text encoders are here: https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders
Upscale models are here: https://huggingface.co/Lightricks/LTX-2.3/tree/main
GGUF models are found many places around Huggingface, for example Quantstack, Unsloth and more
https://huggingface.co/QuantStack/LTX-2.3-GGUF
https://huggingface.co/unsloth/LTX-2.3-GGUF
thanks
LTX updated their upscale model, it should help improve things (especially in regards to sudden text on screen etc)
https://huggingface.co/Lightricks/LTX-2.3/tree/main
Get the model: ltx-2.3-spatial-upscaler-x2-1.1.safetensors (you only need this updated file)
LTX updated their upscale model, it should help improve things (especially in regards to sudden text on screen etc)
https://huggingface.co/Lightricks/LTX-2.3/tree/main
Get the model: ltx-2.3-spatial-upscaler-x2-1.1.safetensors (you only need this updated file)
ComfyUI/models/checkpoints/ltx-2.3-22b-dev.safetensors
ComfyUI/models/latent_upscale_models/ltx-2.3-spatial-upscaler-x2-1.1.safetensors
like this?..
ComfyUI/models/checkpoints/ltx-2.3-22b-dev.safetensors
ComfyUI/models/latent_upscale_models/ltx-2.3-spatial-upscaler-x2-1.1.safetensors
like this?..
Yes that looks all good, if you are not using split files ;-)
Distilled version 1.1
LTX released a version 1.1 of the distilled model.
For the workflows based on Kijai's split models, the v1.1 is already available: https://huggingface.co/Kijai/LTX2.3_comfy/ (both distilled lora and model)
LTX has also updated its IC-Loras to be compatible with the new v.1.1 distilled model. So if you are using any IC-Lora, might also want to download those
The v1.1 model aims at giving better aesthetic and sound
OffTop: How do you paint a node title bar by custom colors?
OffTop: How do you paint a node title bar by custom colors?
Its some node pack that gave that ability. I cant remember what node pack it was again, top of my head.. But if I figure it out, i'll post it here ;-)