Instructions to use reza-alipour/Controlnet-HQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use reza-alipour/Controlnet-HQ with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("reza-alipour/Controlnet-HQ") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("reza-alipour/Controlnet-HQ")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet-reza-alipour/Controlnet-HQ
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
Caption: Her high cheekbones accentuate her facial structure. She wears heavy makeup and lipstick.
Caption: This man has a big nose and wears a hat. He has a beard, goatee, and sideburns.
Caption: This young woman has straight hair and big lips. She wears eyeglasses and has a big nose.
Caption: This young woman has wavy hair and is wearing lipstick. Her mouth is slightly open.

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Model tree for reza-alipour/Controlnet-HQ
Base model
runwayml/stable-diffusion-v1-5