Instructions to use Vincent-luo/controlnet-hands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vincent-luo/controlnet-hands with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Vincent-luo/controlnet-hands") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
library_name: diffusers
base_model: runwayml/stable-diffusion-v1-5
tags:
- jax-diffusers-event
- controlnet
- stable-diffusion
datasets:
- Vincent-luo/hagrid-mediapipe-hands
pipeline_tag: image-to-image
This model is a ControlNet model using MediaPipe hand landmarks for control. And it's trained on this dataset hagrid-mediapipe-hands.