Instructions to use Nacholmo/controlnet-qr-pattern-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bb5b559ead9a52da820b569e1722c0a0f4d9a3a7115c38fa318369dccf3ae18
- Size of remote file:
- 2.89 GB
- SHA256:
- abd0095e2702e21b7f155334c430243120647c719e19e35a0887bec1a250d505
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