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
Download diffusion_pytorch_model.safetensors from neuralvfx/Z-Image-SAM-ControlNet: direct link, hf CLI and curl.
- Browser
- Download file 19 GB
-
https://huggingface.co/neuralvfx/Z-Image-SAM-ControlNet/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://neuralvfx/Z-Image-SAM-ControlNet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/neuralvfx/Z-Image-SAM-ControlNet/resolve/main/diffusion_pytorch_model.safetensors
19 GB
- Xet hash:
- fd74194191fb0e9dcaafc98d136c246552ad69174430fc85fe5491e6c50e608f
- Size of remote file:
- 19 GB
- SHA256:
- aa6e5d2c557ae5b6adc36968c6e4b0f8293d0e0e9d4b1a9cf4dc7cdc6a5435d4
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