Instructions to use FastVideo/Matrix-Game-2.0-GTA-Distilled-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/Matrix-Game-2.0-GTA-Distilled-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/Matrix-Game-2.0-GTA-Distilled-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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sync model_index.json component classes with subfolder config.json
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rename: _class_name CausalMatrixGameWanModel -> CausalMatrixGame2WanModel
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rename: _class_name MatrixGameCausalDMDPipeline -> MatrixGame2CausalDMDPipeline
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Update image_encoder/config.json
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Upload Matrix-Game 2.0 GTA Distilled Model (Diffusers format)
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initial commit
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