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
- Draw Things
- DiffusionBee
- Xet hash:
- 3faf0904f580ff160b80342d92e8a9d036765db320d5eb3f3e3c221b07bf2907
- Size of remote file:
- 5 GB
- SHA256:
- 125e65f5dfb9d003e7ec8c3b560b08f332c4e0579f0871a3ab85005c04e62e98
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