Instructions to use onethousand/AnimPortrait3D_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onethousand/AnimPortrait3D_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("onethousand/AnimPortrait3D_controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "SG161222/Realistic_Vision_V5.1_noVAE", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
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# AnimPortrait3D ControlNet
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This ControlNet is used in the pipeline of [AnimPortrait3D](https://onethousandwu.com/
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## Conditional Input
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The input to this ControlNet is a concatenation of:
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# AnimPortrait3D ControlNet
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This ControlNet is used in the pipeline of [AnimPortrait3D](https://onethousandwu.com/animportrait3d.github.io/) to align the diffusion model’s guidance with the underlying mesh.
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## Conditional Input
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The input to this ControlNet is a concatenation of:
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