Instructions to use Tencent-Hunyuan/HunyuanDiT-v1.1-ControlNet-Diffusers-Pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tencent-Hunyuan/HunyuanDiT-v1.1-ControlNet-Diffusers-Pose 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-Hunyuan/HunyuanDiT-v1.1-ControlNet-Diffusers-Pose", 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:
- 577b194d248f7c7ece873679031c36884c6ede447be053bc10b3016cf3d367e1
- Size of remote file:
- 3.04 GB
- SHA256:
- ce61951f9bd01da695648bf797e1d2a3db5f1c1a455ae5e8ab961c062c200143
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