Instructions to use MadhurGarg/ControlNet_Flowers2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MadhurGarg/ControlNet_Flowers2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("MadhurGarg/ControlNet_Flowers2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 13ca43e26dd6e4e0fe01e5612e5701c2003575ff23032a5a4021eee8469d17da
- Size of remote file:
- 725 MB
- SHA256:
- db4a243cc2907dbab7e4f3b5ad01fbd1495770011676df95f75f2838bf1f31ac
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