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
- Xet hash:
- cfb45b9ab74fb99e2d80f14ff4d3208aec8eed38c9afde4d39d142f3960eb1c0
- Size of remote file:
- 2.98 GB
- SHA256:
- b12c2f44e6787beca8301023e25455ec0ee564c0365b6edb3fef575256bb587e
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