hao-ai-lab-FastVideo/examples/training/finetune/ltx2

LTX-2 Crush-Smol Example

TODO: Update this doc.

These are e2e example scripts for finetuning LTX-2 on the crush-smol dataset.

Execute the following commands from FastVideo/ to run training:

Download crush-smol dataset:

bash examples/datasets/crush-smol/download_dataset.sh

Or use the scripts at scripts/dataset_preparation to download and prepare the dataset

Preprocess the videos and captions into latents:

bash examples/training/finetune/ltx2/preprocess_ltx2_data_t2v_new.sh

Edit the following file and run finetuning:

bash examples/training/finetune/ltx2/finetune_t2v.sh

Notes:

• Update DATASET_PATH in the preprocess script to point to your merged dataset root (videos/ + videos2caption.json).
• MODEL_PATH should point to a local LTX-2 diffusers-style directory that contains model_index.json and text_encoder/gemma.