Instructions to use lllyasviel/sd-controlnet-normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/sd-controlnet-normal with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-normal") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
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# Controlnet - *Normal Map Version*
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ControlNet is a neural network structure to control diffusion models by adding extra conditions.
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This checkpoint corresponds to the ControlNet conditioned on **Normal Map**.
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It can be used in combination with [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/text2img).
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# Controlnet - *Normal Map Version*
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ControlNet is a neural network structure to control diffusion models by adding extra conditions.
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This checkpoint corresponds to the ControlNet conditioned on **Normal Map Estimation**.
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It can be used in combination with [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/text2img).
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