Instructions to use Skywork/Matrix-Game-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Skywork/Matrix-Game-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Skywork/Matrix-Game-2.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
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* [2025-08] π Initial release of Matrix-Game-2.0 Model
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##
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**Matrix-Game-2.0οΌ1.8BοΌ** is derived from the Wan. By removing the text branch and adding action modules, the model predicts next frames only from visual contents and corresponding actions.
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##
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### GameWorld Score Benchmark Comparison
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| Model | Image Quality β | Aesthetic Quality β | Temporal Cons. β | Motion Smooth. β | Keyboard Acc. β | Mouse Acc. β | Object Cons. | Scenario Cons.|
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* [2025-08] π Initial release of Matrix-Game-2.0 Model
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## Model Overview
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**Matrix-Game-2.0οΌ1.8BοΌ** is derived from the Wan. By removing the text branch and adding action modules, the model predicts next frames only from visual contents and corresponding actions.
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## π Performance Comparison
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### GameWorld Score Benchmark Comparison
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| Model | Image Quality β | Aesthetic Quality β | Temporal Cons. β | Motion Smooth. β | Keyboard Acc. β | Mouse Acc. β | Object Cons. | Scenario Cons.|
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