Instructions to use danhtran2mind/Stable-Diffusion-2.1-Openpose-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danhtran2mind/Stable-Diffusion-2.1-Openpose-ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("danhtran2mind/Stable-Diffusion-2.1-Openpose-ControlNet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Stable-Diffusion-2.1-Openpose-ControlNet / checkpoint-17000 /controlnet /diffusion_pytorch_model.safetensors
- Xet hash:
- 0210309c6cf81b10df916c1697f54b87c50b40a9429a9cb4f77a5501ca448a5f
- Size of remote file:
- 1.46 GB
- SHA256:
- 482110cbe8c63f94bfe204c1694d3167f676cb0169dd29964b8eb5e54f6f61a1
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