Instructions to use Lightricks/LTX-2-19b-LoRA-Camera-Control-Static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX-2
How to use Lightricks/LTX-2-19b-LoRA-Camera-Control-Static with LTX-2:
# 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 0.8 - Inference
- Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: other
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base_model: Lightricks/LTX-2
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pipeline_tag: text-to-video
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tags:
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- lora
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- ltx
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- ltx-2
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- video-generation
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- text-to-video
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- camera-control
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- static-camera
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---
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# LTX-2 19B LoRA - Camera Control (Static)
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This 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.
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## Model Details
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- **Developed by**: Lightricks
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- **Base model**: LTX-2 19B
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- **Training type**: LoRA finetune for camera control (static / locked-off)
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## License
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See the base model license: [Lightricks/LTX-2 LICENSE](https://huggingface.co/Lightricks/LTX-2/blob/main/LICENSE).
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