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/00106-pretrained.mp4 from vanzl/DiffusionART-HunyuanVideo: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00106-pretrained.mp4
- Command line
-
hf download hf://vanzl/DiffusionART-HunyuanVideo/examples/00106-pretrained.mp4
-
curl -L -o 00106-pretrained.mp4 https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00106-pretrained.mp4
1.06 MB
- Xet hash:
- 0fbf1bf63a773374907acea453385be0d04760b627f59e8c1c812fdb751398a6
- Size of remote file:
- 1.06 MB
- SHA256:
- e46c85cec8c7fc1fd9b9e4a4c2e1ebba19aaf31a8249f84f049615ca31d78e47
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