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:
- 9e93affce714cb721a66d409cc93cee370fc6ec3ba4fbca4d372325a0c832fa4
- Size of remote file:
- 1.34 MB
- SHA256:
- d3b1a1f0c3d95bfa107a92a32e6cbcd1c33b6ead024b6c2703c985c558bdbf06
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