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
- Draw Things
- DiffusionBee
- Xet hash:
- d4a8baca5f5c5ba7e15f27e5cf1b6aa643677045983207ae95a602096ee676d5
- Size of remote file:
- 1.45 GB
- SHA256:
- 5d38d6b0c1677e487f45a6ea66da8e4f155a1304cfd52cfe8604597406f85591
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