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:
- fde7129508b31aa4425d3662445c6cb80fca63400ca066339123abb22a525e5c
- Size of remote file:
- 1.45 GB
- SHA256:
- 6fb02c3cda3f06e2f660b80c8542ce49cbd7daab60d2b0fcf9512af2f29cdecd
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