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:
- d5ee18c5986932406df9c001ea58d610d8641daaf7a8ed0d6aae08ad8698cd59
- Size of remote file:
- 69.7 kB
- SHA256:
- 5cdf98017e5c0cd6e880adefce747f2832f91fe7d0d1af1f358c312cf63bda09
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