Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use MAK007/sdxl_depth_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MAK007/sdxl_depth_controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("MAK007/sdxl_depth_controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "SG161222/RealVisXL_V4.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 7074c01045ec2d67b44f26ea6c248ae85fffdeba8535247a2be9b27bf80b39ba
- Size of remote file:
- 6.31 MB
- SHA256:
- 12d5823a93f19ca02444a018609ac1eb18dbf00cbddc1ec04a5644d98b763e62
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