Instructions to use magespace/hyvideo-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use magespace/hyvideo-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("magespace/hyvideo-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:
- 6dc5e4dfd5478830f61769aa9c821ff01090dc7a489c32512cf31b5ebb532037
- Size of remote file:
- 246 MB
- SHA256:
- 03532a1b8bb2f02b16b9b290273caf9c8793a0a268517c104eee30f7d1829120
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.