Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use karol-skorulski/controlnet_sd_tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karol-skorulski/controlnet_sd_tutorial with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("karol-skorulski/controlnet_sd_tutorial") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from karol-skorulski/controlnet_sd_tutorial: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/karol-skorulski/controlnet_sd_tutorial/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://karol-skorulski/controlnet_sd_tutorial/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/karol-skorulski/controlnet_sd_tutorial/resolve/main/checkpoint-1000/optimizer.bin
725 MB
- Xet hash:
- af8a63838c47c68797aefe7e53ad4d5ea0ce90f5821cdb543a4dbcb585051e1f
- Size of remote file:
- 725 MB
- SHA256:
- 8e42a5687e1575cc89ac4d7ccf0bfe2a7010881a308cb87998f7da8daf264274
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