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-00010-of-00012.safetensors
Browse files
transformer/diffusion_pytorch_model-00010-of-00012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:364f610a7f0401a82d062f68b1595269b4a2168268b9d503efd2d8e6514a8a5e
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size 4568844056
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