Instructions to use DionTimmer/controlnet_qrcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DionTimmer/controlnet_qrcode with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("DionTimmer/controlnet_qrcode") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
https://www.facebook.com/profile.php?id=100000513408138
Browse files
README.md
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license: openrail++
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language:
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- en
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---
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# QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
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license: openrail++
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language:
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- en
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datasets:
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- allenai/dolma
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metrics:
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- bleu
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library_name: asteroid
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pipeline_tag: text-classification
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---
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# QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
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