Instructions to use a-r-r-o-w/HunyuanVideo-tuxemons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use a-r-r-o-w/HunyuanVideo-tuxemons with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tencent/HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("a-r-r-o-w/HunyuanVideo-tuxemons") prompt = "Style of snomexut, A fluffy, brown-haired tuxemon with a curious expression, sporting an orange and black striped harness and unique patterned tail, explores its surroundings." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 4a6b15623cec4c31fde7d7957bf1ea727a67697c5d024ef0746ac1e068cf5613
- Size of remote file:
- 453 MB
- SHA256:
- b14bef06c3907958655c49ad64f402223ff2366909feb46fba6b4f004759e09a
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