Instructions to use vanzl/DiffusionART-HunyuanVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vanzl/DiffusionART-HunyuanVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vanzl/DiffusionART-HunyuanVideo", 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 examples/00129-pretrained.mp4 from vanzl/DiffusionART-HunyuanVideo: direct link, hf CLI and curl.
- Browser
- Download file 271 kB
-
https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00129-pretrained.mp4
- Command line
-
hf download hf://vanzl/DiffusionART-HunyuanVideo/examples/00129-pretrained.mp4
-
curl -L -o 00129-pretrained.mp4 https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00129-pretrained.mp4
271 kB
- Xet hash:
- 2a93d02cd5c1c5262ff858c85983e70665899fa7d49f77f4a0f89949192d6e18
- Size of remote file:
- 271 kB
- SHA256:
- f8ce3af9dcebb27e64599f8f93f490917b354cd460175951397b3df6bb0e8f3c
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