Instructions to use thibaud/controlnet-sd21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thibaud/controlnet-sd21 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("thibaud/controlnet-sd21") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
metadata
license: openrail++
language:
- en
tags:
- art
- diffusers
- stable diffusion
Here's the first version of controlnet (canny) for stablediffusion 2.1
Trained on a subset of laion/laion-art for 14000 steps (batch 16) on an A6000
Thanks https://huggingface.co/lllyasviel/ControlNet for the implementation and the release of 1.5 models.
Misuse, Malicious Use, and Out-of-Scope Use The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.