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:
- dc1c289f86d1c6ec784bb7a2c8e781f149d6e796e53ca992efd2da2ff0f8e1f6
- Size of remote file:
- 725 MB
- SHA256:
- b3a8532dd5d1a3ee43493156eef6176a362e51c8220adc70fdaa30dffbbffb87
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