Instructions to use neuralvfx/Z-Image-SAM-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuralvfx/Z-Image-SAM-ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("neuralvfx/Z-Image-SAM-ControlNet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "Tongyi-MAI/Z-Image", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 3aacad58930c85bac97599fa45dc82a5e7730333d334a45368ad5703c77f8175
- Size of remote file:
- 1.28 MB
- SHA256:
- 95a999066e9c8264a1b4e2a8fcde497f8f1d1f594abec026d36765505212e0f7
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