Run LTX-Video 2.3 for free: Kaggle Notebook solves Colab RAM crashes
fromourback · reddit · 2026-08-10
To solve the System RAM crashes when running LTX-Video 2.3 (22B) on free cloud tiers like Google Colab, a developer has open-sourced a Jupyter Notebook tailored for Kaggle's free GPU tier.
Key Features:
- Overcomes Memory Limits: Utilizes Kaggle's 30GB System RAM and T4 GPUs to load the 22B model via a 4-bit quantized version.
- Full Functionality: Supports Text-to-Video (T2V) and Image-to-Video (I2V), generating 5-10s clips with synchronized audio.
- Fast Setup: Pre-compiled binaries and multi-threaded downloads reduce setup time to under 3-4 minutes.
- Tradeoffs: Due to running on free T4 instances, the model uses heavy quantization. While uncompressed native precision is sacrificed, it remains ideal for quick prompt and motion testing.
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