Instructions to use Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-Right with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-Right 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-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 - Inference
- Notebooks
- Google Colab
- Kaggle
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license: other
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license_link: https://huggingface.co/Lightricks/LTX-2/blob/main/LICENSE
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tags:
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base_model: Lightricks/LTX-2
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model_type: lora
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library_name: diffusers
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pipeline_tag: text-to-video
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---
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license: other
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license_link: https://huggingface.co/Lightricks/LTX-2/blob/main/LICENSE
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tags:
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- lora
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- video
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- text-to-video
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- camera-motion
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- dolly-right
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- ltx
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base_model: Lightricks/LTX-2
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model_type: lora
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pipeline_tag: text-to-video
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