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:
- 9a4696976e9e3a9fc0ebf8639d0f4d5a0ff18b14a36a00730d3299528d5b9e14
- Size of remote file:
- 1.55 MB
- SHA256:
- 0587c5229256f6be0282bce9a3839c2bfbfd55bbf4ee3b6faf62d0759a390bc6
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