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:
- 64ade8707d318f99cc2761d9053f5449892ea9e1b354e282048c8b20b3c1d41d
- Size of remote file:
- 5 GB
- SHA256:
- 1cfd760a605c266efe25c1ac990417648388a28a2397ca2ac7933d8d007a02b3
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