Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use Acopa/ControlNet_SDXL_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Acopa/ControlNet_SDXL_128 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Acopa/ControlNet_SDXL_128") 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:
- 1dba8984e579e8056d7455d8f4aa715509edb6900218ed56dd2fd9c4ff55f00e
- Size of remote file:
- 988 Bytes
- SHA256:
- 18b984273ea2d45b7ffb1d047bb359d93111e41fcad70d16a1b453fd38f72636
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