Instructions to use FastVideo/HunyuanGameCraft-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/HunyuanGameCraft-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/HunyuanGameCraft-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:
- b43f4e9607d43609bf83c3360b570230628c4c5c435e3f70f2b72dd8dc6064e6
- Size of remote file:
- 15 GB
- SHA256:
- 35fa0d90080038b4c08fc572a1e9a522f2cbc8db72f603e2f028e11ef009d6ff
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