Instructions to use hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v 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-720p_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("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v", torch_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-720p_t2v / transformer /diffusion_pytorch_model-00007-of-00007.safetensors
- Xet hash:
- 307b7c3e0a97c1ab13cd6bbfdf3e5ccb128acad8780960ff4c5e88d3e537f578
- Size of remote file:
- 3.56 GB
- SHA256:
- cb0bb2e9de20efc2fadd8d0808a642d2c4d18657e8424df77d072adca4447f9a
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