Instructions to use Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Depth 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-Depth 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-Depth", 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:
- 364373b87018ef28b70d0737afde88320f535031056c4824bc05a4f235fd6988
- Size of remote file:
- 2.98 GB
- SHA256:
- 14f688b71d9f311943ecb2ef395dea77be76a2f7b19a5db33c062cd2c8d9021e
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