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/00148-diffusionart.mp4 from vanzl/DiffusionART-HunyuanVideo: direct link, hf CLI and curl.
- Browser
- Download file 817 kB
-
https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00148-diffusionart.mp4
- Command line
-
hf download hf://vanzl/DiffusionART-HunyuanVideo/examples/00148-diffusionart.mp4
-
curl -L -o 00148-diffusionart.mp4 https://huggingface.co/vanzl/DiffusionART-HunyuanVideo/resolve/main/examples/00148-diffusionart.mp4
817 kB
- Xet hash:
- b4c3b762fdb1348103dd63c294edcf043fe5d94cbd4ba51055da135ec40a65c9
- Size of remote file:
- 817 kB
- SHA256:
- f0837beb2cd5815d34a7781877c690e71ddec89d08f32c490e53d873d5aa0aea
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