Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use ntaurozzi/controlnet_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ntaurozzi/controlnet_2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ntaurozzi/controlnet_2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 09ac5e2ac677e32e2a3fb1bdb8bb315c3c114a0e404d180b608099ca7e965302
- Size of remote file:
- 1.45 GB
- SHA256:
- 1a203897db377ddaa23602e58598a7fe7bac37cac42f2b9b6184fbf361090aea
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