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-00002-of-00007.safetensors
- Xet hash:
- 3f7d90d02151a4b265ff8c40ba8e9673e720fc54dc318163ec333408c2716c14
- Size of remote file:
- 4.98 GB
- SHA256:
- 2d78c3e3ed6737cd255f94d1540ab42abc6063204f5d3afc58fa0e95b2846954
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