Video-to-Video
LTX-2
English
ic-lora
video-restoration
colorization
archive-footage
ltx-2.3
ltx-2.5
ltx-video
vfx
Instructions to use Lightricks/LTX-2.5-22b-IC-LoRA-Restore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX-2
How to use Lightricks/LTX-2.5-22b-IC-LoRA-Restore with LTX-2:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --extra natten
# Download the adapter weights from this repo # (base components come from Lightricks/LTX-2.5 — see Files and versions) hf download Lightricks/LTX-2.5-22b-IC-LoRA-Restore --local-dir models/LTX-2.5-22b-IC-LoRA-Restore
# Video-to-video with the IC-LoRA (runs on the distilled LTX-2.5 base) uv run python -m ltx_pipelines.ic_lora \ --transformer-path path/to/distilled-transformer.safetensors \ --text-encoder-path path/to/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors \ --video-vae-path path/to/video-vae.safetensors \ --audio-vae-path path/to/audio-vae.safetensors \ --spatial-upsampler-path path/to/spatial-upsampler.safetensors \ --lora models/LTX-2.5-22b-IC-LoRA-Restore/<weights>.safetensors 1.0 \ --video-conditioning reference.mp4 1.0 \ --prompt "your prompt here" \ --output-path output.mp4 - Notebooks
- Google Colab
- Kaggle
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