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

- Xet hash:
- e22c69ee2d647a243416ba135a44aa162e855eabb8ab43e626bf5e0aa90361af
- Size of remote file:
- 1.8 MB
- SHA256:
- 032e789bd2a2a324407b6e202b57a1b1df87da623d1dd0dd8f71d19d9e0ac44f
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