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:
- 59f576f912e518fed31f4ac7a35af7e19ed92e4bc024964e999b527adb9bc6b3
- Size of remote file:
- 1.45 GB
- SHA256:
- 34d42f78ab843c5ab1875def64d0948751309167047ebb9122468457a78a5260
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