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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6a6b3fac61bffd00c3905bbc671121919574ebafcbadf4d26b195eb1f1491c1e
- Size of remote file:
- 725 MB
- SHA256:
- ad0304d00df0e6d9c8af755df6b2156b4180311f02b36c3e9c8249550ce20643
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