LTX-2.3
Collection
LTX-2.3 base models, quantized models and accompanying LoRAs and IC-LoRAs
β’ 10 items β’ Updated β’ 54
How to use Lightricks/LTX-2.3-22b-IC-LoRA-LipDub with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3-22b-IC-LoRA-LipDub", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]By clicking "Agree and Access" you acknowledge the Privacy Policy and consent to receive offers and updates. You can unsubscribe at any time.
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This is an IC-LoRA trained on top of LTX-2.3-22b, enabling lip dubbing on top of the LTX model.
It is based on the LTX-2 foundation model.
packages/ltx-pipelines/src/ltx_pipelines/lipdub.pyltx-2.3-22b-ic-lora-lipdub-0.9.safetensors
See the LTX-2-community-license for full terms.
models/loras.The model was trained using a lip-dubbing dataset.
@article{chen2026just,
title={JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion},
author={Chen, Anthony and Korem, Naomi Ken and Zeevi, Gal and Halperin, Tavi and Yosef, Matan Ben and Jelercic, Urska and Bibi, Ofir and Patashnik, Or and Cohen-Or, Daniel},
journal={arXiv preprint arXiv:2601.22143},
year={2026}
}
Base model
Lightricks/LTX-2.3