Instructions to use SargeZT/controlnet-sd-xl-1.0-depth-faid-vidit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SargeZT/controlnet-sd-xl-1.0-depth-faid-vidit with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SargeZT/controlnet-sd-xl-1.0-depth-faid-vidit") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- ac71d3681ae6eff12014458a7d44bb128d12e91b052d53c95529454432289712
- Size of remote file:
- 1.73 MB
- SHA256:
- b3a975e0b15d6b425020b8a8d76d23fe51ad14464d6b9e8f9997623ef858679e
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