Instructions to use monster-labs/control_v1p_sd15_qrcode_monster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monster-labs/control_v1p_sd15_qrcode_monster with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("monster-labs/control_v1p_sd15_qrcode_monster") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f637011d1b47315af0e7fd75ff70b16ef82d7395bee2fa38cddc93756e3e75ad
- Size of remote file:
- 1.1 MB
- SHA256:
- 0ee8143ec1d4b4bf1517d737696e9eb387ae1a10d280209be1ae7dff48288b65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.