Instructions to use MadhurGarg/ControlNet_Train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MadhurGarg/ControlNet_Train with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("MadhurGarg/ControlNet_Train") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c197c5819defa45c453e0f0a1e1dbfadb183c24e7a6c720f2c28f51dd1687242
- Size of remote file:
- 1.45 GB
- SHA256:
- a3ad02034825736a7716727c53aa62f4b0372d975416176dcda7c67c984513e3
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