Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use Acopa/ControlNet_SDXL_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Acopa/ControlNet_SDXL_256 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Acopa/ControlNet_SDXL_256") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2701bc65395496de75146f1dd819e61608dfc3272ad30045362c3cbd9425e122
- Size of remote file:
- 1 kB
- SHA256:
- 7a530ffa9220cf65c0729e966fdf26ce7223ed3dc88346bbe1367170da20bad4
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