Instructions to use ucfzl/ControlNet_Depth_CPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ucfzl/ControlNet_Depth_CPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ucfzl/ControlNet_Depth_CPO", 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 diffusion_pytorch_model.safetensors from ucfzl/ControlNet_Depth_CPO: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/ucfzl/ControlNet_Depth_CPO/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://ucfzl/ControlNet_Depth_CPO/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/ucfzl/ControlNet_Depth_CPO/resolve/main/diffusion_pytorch_model.safetensors
1.45 GB
- Xet hash:
- f752dcb0062006d6e12aa40eb94e1c3a798748c1ff4f80d31de68a6cca110eeb
- Size of remote file:
- 1.45 GB
- SHA256:
- 61c89546d051a908beae89451071ed8528bff2c76cdbe4003f4ce6c996bb8420
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