Instructions to use DionTimmer/controlnet_qrcode-control_v1p_sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DionTimmer/controlnet_qrcode-control_v1p_sd15 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("DionTimmer/controlnet_qrcode-control_v1p_sd15") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Update README.md
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by Romeo38000 - opened
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license: openrail++
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library_name: diffusers
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pipeline_tag: image-to-image
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license: openrail++
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language:
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library_name: diffusers
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pipeline_tag: image-to-image
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