Instructions to use diffusers/controlnet-depth-sdxl-1.0-mid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/controlnet-depth-sdxl-1.0-mid with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers/controlnet-depth-sdxl-1.0-mid") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with depth conditioning. This checkpoint is 5x smaller than the original XL controlnet checkpoint. You can find some example images in the following.
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prompt: spiderman lecture, photorealistic
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These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with depth conditioning. This checkpoint is 5x smaller than the original XL controlnet checkpoint. You can find some example images in the following.
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prompt: donald trump, serious look, cigar in the mouth, 70mm, film still, head shot
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prompt: spiderman lecture, photorealistic
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