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
File size: 189 Bytes
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license: mit
datasets:
- HighCWu/open_pose_controlnet_subset
language:
- en
base_model:
- stabilityai/stable-diffusion-2-1
pipeline_tag: text-to-image
tags:
- controlnet
- open-pose
--- |