Instructions to use diffusers-internal-dev/sd35-controlnet-depth-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/sd35-controlnet-depth-8b with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("diffusers-internal-dev/sd35-controlnet-depth-8b") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_result.png from diffusers-internal-dev/sd35-controlnet-depth-8b: direct link, hf CLI and curl.
- Browser
- Download file 1.53 MB
-
https://huggingface.co/diffusers-internal-dev/sd35-controlnet-depth-8b/resolve/main/sample_result.png
- Command line
-
hf download hf://diffusers-internal-dev/sd35-controlnet-depth-8b/sample_result.png
-
curl -L -o sample_result.png https://huggingface.co/diffusers-internal-dev/sd35-controlnet-depth-8b/resolve/main/sample_result.png
1.53 MB

- Xet hash:
- de658ee64017d2e8041a0a4a1b97e3a1567353c7be8027bfa0663e9aa8d892b3
- Size of remote file:
- 1.53 MB
- SHA256:
- 483aa1017a90fb48350203c469dcd90eabc6959d6bae5692e2f44ed961c5f42f
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