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
- Xet hash:
- 2d56b7ae70d07b0fcc5ce1adb96f69cbdda83a44af51d93abedc260f574f80b8
- Size of remote file:
- 4.93 GB
- SHA256:
- ab32a0fe73edfa4af4eb0c7f17633c44704335d80755f9230200cf16fea42b7e
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