Instructions to use FastVideo/Matrix-Game-2.0-Base-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-Base-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-Base-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
Download image_encoder/model.safetensors from FastVideo/Matrix-Game-2.0-Base-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 2.52 GB
-
https://huggingface.co/FastVideo/Matrix-Game-2.0-Base-Diffusers/resolve/main/image_encoder/model.safetensors
- Command line
-
hf download hf://FastVideo/Matrix-Game-2.0-Base-Diffusers/image_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/FastVideo/Matrix-Game-2.0-Base-Diffusers/resolve/main/image_encoder/model.safetensors
2.52 GB
- Xet hash:
- 37f3fe58c841a770440badef5b711805e1199ae214755fd9edef3b285a151719
- Size of remote file:
- 2.52 GB
- SHA256:
- 8eb46f477ef5e1859b659014aed6ca56cdc207c12cb7a0f9d61b4d80a1a7bb84
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