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/00100-diffusionart.mp4 from vanzl/DiffusionART-HunyuanVideo: direct link, hf CLI and curl.
- Browser
- Download file 610 kB
-
https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00100-diffusionart.mp4
- Command line
-
hf download hf://vanzl/DiffusionART-HunyuanVideo/examples/00100-diffusionart.mp4
-
curl -L -o 00100-diffusionart.mp4 https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00100-diffusionart.mp4
610 kB
- Xet hash:
- 8b3888d5382476992488cac2778acbfdef335f8fd025ae4fc6691ad563d46248
- Size of remote file:
- 610 kB
- SHA256:
- 961b17cb9eb67be97f3ad3494796e9f4ab7f028a83c57bf547ca26bc570e7cf9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.