Diffusers
Safetensors
PyTorch
hy-nomas
world-model
video-generation
interactive-video-generation
camera-control
autoregressive
diffusion-transformer
Instructions to use tencent/Hy-Nomas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tencent/Hy-Nomas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tencent/Hy-Nomas", 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
Commit History
Yesterday
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Update English and Chinese model cards
bac719a -
Create LICENSE (#1)
- Create LICENSE (3fae3e8ca811ca50db1fe078ae65292b76493847) Co-authored-by: Ji Hou <jhou90@users.noreply.huggingface.co>5cdaa8c -
Initial commit
Co-authored-by: TencentOpen <TencentOpen@users.noreply.huggingface.co>dea9480