Instructions to use Tencent-Hunyuan/HunyuanDiT-v1.1-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-v1.1-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-v1.1-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:
- a2f1a7a8ac8db96d264a741365ca50f158eea0893e8f565d469d30cc2c4bcd78
- Size of remote file:
- 3.04 GB
- SHA256:
- b07db85198c8b857b98536ee964a90fadac53c39f7ded6c1be254895c46780d8
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