How to use from the
Use from the
LTX.io library
# 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-Dolly-Right --local-dir models/LTX-2-19b-LoRA-Camera-Control-Dolly-Right
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-Dolly-Right/<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

LTX-2 19B LoRA - Camera Control (Dolly Right)

This is a camera-motion control LoRA trained to bias generations toward a dolly-right camera move (camera translates laterally to the right, revealing content on the right side of the scene and changing parallax) on top of an LTX-2 19B base video model.

Model Details

  • Developed by: Lightricks
  • Base model: LTX-2 19B
  • Training type: LoRA finetune for camera motion (dolly right)

Recommended Prompting

To get the best results with Motion Camera LoRAs, describe the destination of the movement and the hidden parts of the scene so the model knows what to reveal as the frame shifts.

For a dolly-right shot, explicitly mention what should come into view on the right side during the move (e.g., the far-right side of a room, objects/people positioned off-frame to the right, background structures that become visible due to parallax). This gives the model a visual β€œmap” of what exists as the camera slides right.

License

See the base model license: Lightricks/LTX-2 LICENSE.

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