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:
- 672c21e408d7430943f709c0db913e31d7f237b6bd2ba597d4deca8a4cbb78b9
- Size of remote file:
- 14.6 kB
- SHA256:
- 24a4e09063a007044c98e0d0d074d1f3c1cd107d4de5d74e5ecc424bf64d294b
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