Instructions to use RuneXX/LTX-2.3-Workflows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

LTX-2.3-Workflows / README.md

RuneXX

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	---
	tags:
	- ltx
	- ltx-2
	- comfyui
	- comfy
	- gguf
	- ltx-video
	- ltx-2-3
	- ltxv
	- text-to-video
	- image-to-video
	- audio-to-video
	- video-to-video
	---
	The workflows are based on the extracted models from https://huggingface.co/Kijai/LTX2.3_comfy
	The extracted models might run easier on your computer (as separate files).
	(but you can easily swap out the model loader for the ComfyUI default model loader if you want to load the checkpoint with "all in one" vae built-in etc)


	LTX-2.3 Main Model Downloads (split models):
	- Main split models used in these workflows (LTX-2.3 dev & distilled safetensor, embeddings, audio and video vae):
	https://huggingface.co/Kijai/LTX2.3_comfy

	Gemma - either safetensor or GGUF:
	1) Gemma 3 12B it safetensor: https://huggingface.co/Comfy-Org/ltx-2/

	2) Gemma 3 12B it GGUF: https://huggingface.co/unsloth/gemma-3-12b-it-GGUF/


	LTX-2.3 GGUF models (for GGUF workflows) - one of the source below:

	1) Quantstack: https://huggingface.co/QuantStack/LTX-2.3-GGUF
	2) Unsloth : https://huggingface.co/unsloth/LTX-2.3-GGUF
	3) Vantage : https://huggingface.co/vantagewithai/LTX-2.3-GGUF


	Tiny Vae (for sampler previews):
	https://github.com/madebyollin/taehv/blob/main/safetensors/taeltx2_3.safetensors
	(Optional/Recommended. Without this vae you still get previews with latentrgb from KJnodes, at a lower res)

	----

	Needed nodes:

	+ https://github.com/kijai/ComfyUI-KJNodes (NB! Must be up to date for LTX-2 support)

	+ https://github.com/city96/ComfyUI-GGUF (NB! Must be up to date for LTX-2 support)

	+ ComfyUI itself must be updated to very latest


	----

	LTX-2.3

	Lighttricks LTX-2.3 main repro: https://huggingface.co/Lightricks/LTX-2.3
	Lightricks LTX-2.3 Collection (loras etc): https://huggingface.co/collections/Lightricks/ltx-23

	----

	More workflows :

	ComfyUI Official Workflows : https://blog.comfy.org/p/ltx-23-day-0-supporte-in-comfyui

	LTX-2 Video Official Workflows : https://github.com/Lightricks/ComfyUI-LTXVideo/tree/master/example_workflows/2.3