Instructions to use hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v_distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v_distilled with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v_distilled", 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
HunyuanVideo-1.5-Diffusers-480p_t2v_distilled / transformer /diffusion_pytorch_model-00007-of-00007.safetensors
- Xet hash:
- 88a2ec570a092890c64b4af784b849b70f67b75996b1bbe7f94e66c2f0a82e89
- Size of remote file:
- 3.56 GB
- SHA256:
- 4fc22ff8866122d7f1f6fe56733133c0aaecd2949ee67949d067c494b716eefd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.