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:
- 5bbe57b84623e87246a1108ef32d978fcb997df3d12f335e74651d73a92af805
- Size of remote file:
- 6.71 GB
- SHA256:
- d64755decb4b48ee265e271d9a65b2e5fba0d06bca79a7d382dfc7d7829ee15a
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