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:
- cd47726bcd7ecaa5813d8ddc7075963d04a58ae8092c7c9bbe3231eceef3557e
- Size of remote file:
- 4.81 MB
- SHA256:
- 7340c143cf12ffe24bb57c48c0ee5fc1c5df5df8eb0f14b1ecd7a04fabeedc09
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