Instructions to use SargeZT/sdxl-controlnet-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SargeZT/sdxl-controlnet-seg with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SargeZT/sdxl-controlnet-seg") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
controlnet-SargeZT/sdxl-controlnet-seg
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
You can find some example images below.
prompt: a cat laying on top of a blanket on a bed
prompt: two elephants are walking in a zoo enclosure
prompt: a variety of items are laid out on a table
prompt: a sandwich and french fries on a tray
prompt: a crowd of people flying kites on a beach
prompt: a man holding a rainbow colored umbrella in front of a crowd
prompt: a man riding skis down a snow covered slope
prompt: a yellow fire hydrant sitting in the middle of a sidewalk

License
- Downloads last month
- 1,017
Model tree for SargeZT/sdxl-controlnet-seg
Base model
stabilityai/stable-diffusion-xl-base-1.0