LTX.io How to use fal/LTX-2.3-3DREAL-LoRA with LTX.io:
# Install the LTX-2 pipelines
git clone https://github.com/Lightricks/LTX-2.git
cd LTX-2
uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder
hf download fal/LTX-2.3-3DREAL-LoRA --local-dir models/LTX-2.3-3DREAL-LoRA
hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Video-to-video with the IC-LoRA (runs on the distilled base model)
uv run python -m ltx_pipelines.ic_lora \
--distilled-checkpoint-path path/to/distilled_checkpoint.safetensors \
--spatial-upsampler-path path/to/spatial_upsampler.safetensors \
--gemma-root models/gemma-3-12b \
--lora models/LTX-2.3-3DREAL-LoRA/<weights>.safetensors 1.0 \
--video-conditioning reference.mp4 1.0 \
--prompt "your prompt here" \
--output-path output.mp4 
