Instructions to use Murphyyyy/RIGen-Arena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX-2
How to use Murphyyyy/RIGen-Arena 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 Murphyyyy/RIGen-Arena --local-dir models/RIGen-Arena hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/RIGen-Arena/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/RIGen-Arena/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/RIGen-Arena/<checkpoint>.safetensors \ --distilled-lora models/RIGen-Arena/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/RIGen-Arena/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
RIGen-Arena
Arena AR checkpoint with two selectable trained refiner variants.
Files
weights/arena_ar_model.safetensors: Arena AR checkpoint.weights/causal_refiner_lora.safetensors: causal refiner LoRA.weights/bidirectional_refiner_lora.safetensors: bidirectional refiner LoRA.configs/causal_refiner_bundle.json: causal refiner configuration.configs/bidirectional_refiner_bundle.json: bidirectional refiner configuration.configs/arena_ar_config.yaml: Arena AR configuration.configs/arena_foundation_config.yaml: refiner foundation configuration.
Both refiner variants use the original LTX-2.3 foundation model with the selected trained LoRA. The LTX-2.3 backbone, official distilled LoRA, spatial upsampler, and text encoder are external dependencies and are not included here.
The refiner inference modes are causal and bidirectional.
License
The model is distributed under the LTX-2.x Community License Agreement in LICENSE.
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