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 diffusion_pytorch_model.safetensors from diffusers-internal-dev/sd35-controlnet-depth-8b: direct link, hf CLI and curl.
- Browser
- Download file 8.61 GB
-
https://huggingface.co/diffusers-internal-dev/sd35-controlnet-depth-8b/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers-internal-dev/sd35-controlnet-depth-8b@refs/pr/1/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers-internal-dev/sd35-controlnet-depth-8b/resolve/refs%2Fpr%2F1/diffusion_pytorch_model.safetensors
8.61 GB
- Xet hash:
- 0361c129af00d35c5cabe5e034c0d9302c9418bbcf10ee137ff00d28dd65dc3c
- Size of remote file:
- 8.61 GB
- SHA256:
- 5cd54d6c670ebc864b459f251573bc0f9cb60f2adf644dbd4df4ffab6879b1a1
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