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-In --local-dir models/LTX-2-19b-LoRA-Camera-Control-Dolly-In
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-In/<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 β€” Camera Control (Dolly In)

This is a camera-motion control LoRA trained to bias generations toward a dolly-in camera move (camera pushes forward toward the subject, often increasing subject scale and reducing background prominence) 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 in)

Recommended Prompting

  • To get the best results with Motion Camera LoRAs, you should describe the "destination" of the movement

License

See the base model license: Lightricks/LTX-2 LICENSE (https://huggingface.co/Lightricks/LTX-2/blob/main/LICENSE).

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