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:
- b9280a19f4eb1f2e6cae37f89e2b8f68b2c05c8878d705e068f0610731ccaef1
- Size of remote file:
- 33.7 kB
- SHA256:
- 27557ac106417f123b6707a13820aa09c3f0fe664c6fac03d4f354c314d9368d
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