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
Download assets/prompt.png from onethousand/AnimPortrait3D_controlnet: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
-
https://huggingface.co/onethousand/AnimPortrait3D_controlnet/resolve/main/assets/prompt.png
- Command line
-
hf download hf://onethousand/AnimPortrait3D_controlnet/assets/prompt.png
-
curl -L -o prompt.png https://huggingface.co/onethousand/AnimPortrait3D_controlnet/resolve/main/assets/prompt.png
525 kB

- Xet hash:
- e219805e1e777b562d24e243fa9e97368e3a9409b64d8fb2d2369969a30e3915
- Size of remote file:
- 525 kB
- SHA256:
- a6015444a0dbea964342011ea32b0c70166320cb45ac3c8b678de7c5fa6332cd
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