Instructions to use Tencent-Hunyuan/HunyuanDiT-v1.1-ControlNet-Diffusers-Canny 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-Canny 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-Canny", 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
- Xet hash:
- 0b3dffa46a521eac445563398ca2a83255d1748fb0e1ffdd56fbe260f44d7519
- Size of remote file:
- 3.04 GB
- SHA256:
- 2acca55693f246ec8bbaa0cc95835a8b811319c28b508837c7b4805f9d992f07
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