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", 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
Massive Interactive Data Pipeline Feature for Unreal Engine?
#4
by enpeizhao - opened
For this feature in the README: "Feature 3: Massive Interactive Data Pipeline - A scalable production system for Unreal Engine & GTA5 that generates ~1200 hours of high-quality interactive video data, covering diverse scenes with frame-level realism."
Is this feature already published?