Instructions to use DiffusersVersionsOfModels/HunyuanVideo-1.5-480p_t2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffusersVersionsOfModels/HunyuanVideo-1.5-480p_t2v with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DiffusersVersionsOfModels/HunyuanVideo-1.5-480p_t2v", 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
- Xet hash:
- 7c271f90af29dc42c0047ea74454b3c23d6f116bd1cf3b41f3c88982706dd5da
- Size of remote file:
- 33.3 GB
- SHA256:
- 71f9affa1115fef2b14bd41fba30eab966fe80c9ed98e0fcba495dbc6d8fff86
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