Instructions to use FastVideo/Matrix-Game-3.0-Base-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/Matrix-Game-3.0-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-3.0-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 transformer/diffusion_pytorch_model.safetensors from FastVideo/Matrix-Game-3.0-Base-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 12.9 GB
-
https://huggingface.co/FastVideo/Matrix-Game-3.0-Base-Diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://FastVideo/Matrix-Game-3.0-Base-Diffusers/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/FastVideo/Matrix-Game-3.0-Base-Diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
12.9 GB
- Xet hash:
- 1584a6cefab7b46b95a22e1ad1affaeeab58fa03fe4155a8f692d2d36c106b4e
- Size of remote file:
- 12.9 GB
- SHA256:
- 92ca38c750b5464253f8a5ee86ed78d2d9e5d7837c89bbaef1400019ae19f0d5
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