Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use ntaurozzi/controlnet_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ntaurozzi/controlnet_output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ntaurozzi/controlnet_output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3cf0551ed362deb9804a0c05c147c989e849de9b9af5d76dbeba41cd26704756
- Size of remote file:
- 2.89 GB
- SHA256:
- 1eac4c105d1986834cef205e7d5fa6f39e56faac1a14408e5f6f09d9ca6c876e
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