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:
- c21be3070ce6b55281de282bad25b04b9eb3ed33481364f8956e10bc89e03268
- Size of remote file:
- 863 kB
- SHA256:
- 834b5452dc8418327c3be3ee32ef3dd93592c9d2d3f0a39f6edf199694da3753
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