Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use ahd03/nyu-depth-controlnet-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahd03/nyu-depth-controlnet-model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ahd03/nyu-depth-controlnet-model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from ahd03/nyu-depth-controlnet-model: direct link, hf CLI and curl.
- Browser
- Download file 735 MB
-
https://huggingface.co/ahd03/nyu-depth-controlnet-model/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://ahd03/nyu-depth-controlnet-model/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ahd03/nyu-depth-controlnet-model/resolve/main/checkpoint-2000/optimizer.bin
735 MB
- Xet hash:
- 60290091f7df0143cceb89e1f0946596d6082d709b222c2dd97858bde6cd37c9
- Size of remote file:
- 735 MB
- SHA256:
- d1d350ff72b87c2259187c3f25a4213f178ea15d17e35ce23592f1a833e341f7
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