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:
- 1d14fb742aa7237c6df6e3e09624cd742b58c4c00880d3ad305fc044ec8fc283
- Size of remote file:
- 2.29 MB
- SHA256:
- a61dea22e15fb3f7ba0cbad05170afebbe74c309a52dbcd5cd5d1be5c2d7aa07
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