Instructions to use DiffusersVersionsOfModels/HunyuanVideo-1.5-480p_i2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DiffusersVersionsOfModels/HunyuanVideo-1.5-480p_i2v 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_i2v", 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:
- 277c53a2e6ec8078cac6342c17a5c0cb9ab0b483233b7a1132ad72c04891dd57
- Size of remote file:
- 33.3 GB
- SHA256:
- f4d7d3e61404f5c742b57260f1b6a3bc41bb12fc880438252bf37913487dec56
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