LTX-2
Collection
LTX-2 base models and accompanying LoRAs and IC-LoRAs β’ 13 items β’ Updated β’ 61
How to use Lightricks/LTX-2-19b-LoRA-Camera-Control-Static 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 Lightricks/LTX-2-19b-LoRA-Camera-Control-Static --local-dir models/LTX-2-19b-LoRA-Camera-Control-Static 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/LTX-2-19b-LoRA-Camera-Control-Static/<weights>.safetensors 1.0 \
--prompt "your prompt here" \
--output-path output.mp4
# For image-to-video, add: --image path/to/image.jpg 0 0.8This is a camera-motion control LoRA trained to bias generations toward a static camera (no intentional camera translation, pan, tilt, roll, or zoom) on top of an LTX-2 19B base video model.
See the base model license: Lightricks/LTX-2 LICENSE.
Base model
Lightricks/LTX-2