Instructions to use Tencent-Hunyuan/HunyuanDiT-v1.2-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-v1.2-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-v1.2-ControlNet-Diffusers-Canny", 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
Download canny.jpg from Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny: direct link, hf CLI and curl.
- Browser
- Download file 215 kB
-
https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny/resolve/main/canny.jpg
- Command line
-
hf download hf://Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny/canny.jpg
-
curl -L -o canny.jpg https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny/resolve/main/canny.jpg
215 kB
