LTX.io How to use Muapi/pec-bounce 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 Muapi/pec-bounce --local-dir models/pec-bounce
hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Text/image-to-video with the LoRA on the HQ two-stage base pipeline
uv run python -m ltx_pipelines.ti2vid_two_stages_hq \
--checkpoint-path path/to/checkpoint.safetensors \
--distilled-lora path/to/distilled_lora.safetensors 0.8 \
--spatial-upsampler-path path/to/spatial_upsampler.safetensors \
--gemma-root models/gemma-3-12b \
--lora models/pec-bounce/<weights>.safetensors 1.0 \
--prompt "your prompt here" \
--output-path output.mp4
# For image-to-video, add: --image path/to/image.jpg 0 0.8 
