Instructions to use UmerHA/ConrolNetXS-SDXL-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmerHA/ConrolNetXS-SDXL-depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmerHA/ConrolNetXS-SDXL-depth", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Spelling mistake
#1
by hxr1984 - opened
It seems that there is a spelling mistake in your title. It may be Con't'rolNetXS, but not ConrolNetXS. It may prevent people from discovering your model card.
UmerHA changed discussion status to closed