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:
- 5a4985f98e38450ca831e2babcda6b0d39cbcb35bc04f3e302701072dafb9c26
- Size of remote file:
- 1.45 GB
- SHA256:
- aae7933c794a8b99b030ec6d74dfd9bd3e6bde7e06809c424d03926784f8ad73
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