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:
- 14ecde579769c0593cde5ecf94306375bc35f98d44b61b13426d3e022f9b06cc
- Size of remote file:
- 1.93 MB
- SHA256:
- 9b667cd0578c50c19c2000b4b52136b08e9bca8660ce9285d3447a5d86e03484
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