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
- Xet hash:
- c5b56ad0b6b5f14c566bb72f5d4afca0bd9e88b1e19d432f6928be5b7fa8c910
- Size of remote file:
- 1.45 GB
- SHA256:
- 7ddf77299c5ef0f4eb3e1a2e2955553a5b4196821f397b94c48c6683549bfcd4
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