Instructions to use ThiennNguyen/ControlNet_Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThiennNguyen/ControlNet_Finetuning with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ThiennNguyen/ControlNet_Finetuning") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d51c3322d3611b529a11a417dc40d72bc61ddd017ab1afc896076096c6f8f22c
- Size of remote file:
- 1.45 GB
- SHA256:
- 9ed0cfb520c6f931fff7358169bfe1ec03f889217b28fdc0b0fcf0947332f091
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