Instructions to use CrucibleAI/ControlNetMediaPipeFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CrucibleAI/ControlNetMediaPipeFace with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("CrucibleAI/ControlNetMediaPipeFace") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Joseph Catrambone
Rename controlnet_* to be consistent with ControlNet1.1 model naming scheme.
6948da2 - Xet hash:
- ce7eac9cf0908d6426cd3591822c04a19dded057e6ee850b296c6acfa350fe0f
- Size of remote file:
- 1.46 GB
- SHA256:
- 53633d3a2b27b5c00c94a3caf11110274e370ed581a7f3a171551ea9e66cae9b
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