Game2World

Model weights for Game2World Engine: Unlocking In-the-Wild Gameplay Videos for World Model Training.

This repository contains two rank-64 DiT LoRAs for GameCleaner:

File	Base checkpoint	Training
game2world-without-reference-pretrain.safetensors	GameCleaner without reference pre-train	3,001 steps, prompt-only
game2world-with-reference-pretrain-refdrop20.safetensors	GameCleaner with reference pre-train	3,001 steps, 20% reference dropout

GameCleaner with reference pre-train is the recommended release and is used for the Game2World benchmark. The older 1,300/1,400-step experiments are not included.

The code, download commands, runtime loading order, and offline merge script are in Dongping-Chen/Game2World. The normal runtime loads the matching GameCleaner checkpoint first, then applies the Game2World LoRA to its DiT with scale 1.