Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use brity/controlnet-2210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brity/controlnet-2210 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("brity/controlnet-2210") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 1545e96379bf4002c8e0be9d6a4c959e3aa788358bfb781b81081ea696b602c9
- Size of remote file:
- 2.47 MB
- SHA256:
- 4d035f068435511b07f6bfc82db5fed7534a2dd90b12e18daa7eed69f88bc398
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