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
Add verified transformer/diffusion_pytorch_model-00011-of-00012.safetensors
Browse files
transformer/diffusion_pytorch_model-00011-of-00012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:825edf0374dd8816dc5c8493c42d9021d92a9c2533aa7dfd35f38096e09128f9
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size 4455621944
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