Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use JaspervanLeuven/controlnet5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JaspervanLeuven/controlnet5k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("JaspervanLeuven/controlnet5k") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from JaspervanLeuven/controlnet5k: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/JaspervanLeuven/controlnet5k/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://JaspervanLeuven/controlnet5k/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/JaspervanLeuven/controlnet5k/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 70b74cae54650cdbd4e1c65537c98741be9ec7f65e1e0a870bc02a3be116a986
- Size of remote file:
- 2.89 GB
- SHA256:
- 115ae6d8ef9037d09550c5210c72999950f5de1f2851d4bcae2a5730f9379278
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