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Game2World
shuaishuaicdp/Game2World
Game2World is a video-to-video model from shuaishuaicdp. Use it for the video-to-video task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Model weights for Game2World Engine: Unlocking In-the-Wild Gameplay Videos for World Model Training.
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Public
Updated Sep 10, 2026
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3.5 GB
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.zip1.9 GB · 75%
At a glance
- Task
- Video-to-Video
- License
- mit
- Access
- Public
- Created
- Aug 26, 2026
- Updated
- Sep 10, 2026
- SHA
- c6bace1d
Model card
From the Hugging Face model README
Game2World
Model weights for Game2World Engine: Unlocking In-the-Wild Gameplay Videos for World Model Training.
The two main rank-64 DiT LoRAs for GameCleaner are:
| 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.
Reference dropout ablations
gamecleaner-refdrop-final.zip contains all six final step-3001 LoRAs for 0%, 5%, 10%, 20%, 50%, and 80% reference dropout, all with reference pre-train. These are unmerged adapters. The recommended 20% model is also available separately above.
Use the same with-reference-pretrain base and load the chosen LoRA with scale 1.
hf download shuaishuaicdp/Game2World gamecleaner-refdrop-final.zip --local-dir models/Game2World
unzip models/Game2World/gamecleaner-refdrop-final.zip -d models/Game2World/refdrop
Pass the extracted file to scripts/inference.py --adapter. Each filename includes its dropout percentage; the archive README includes an inference example.
- Task
- Video-to-Video
- License
- mit
- Created
- Aug 26, 2026
- Updated
- Sep 10, 2026