Instructions to use FastVideo/Matrix-Game-2.0-TempleRun-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-TempleRun-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-TempleRun-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
- Xet hash:
- de44d601befa325a7ed5d19b22f84ec4fc74dc79abf7b369e509a9742adbd5ac
- Size of remote file:
- 508 MB
- SHA256:
- bb8cbd00e0a2305d462ef144f2a2bdc625dca43ffe25fb50826994e672579805
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