Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use sidnarsipur/controlnet_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sidnarsipur/controlnet_normal with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("sidnarsipur/controlnet_normal") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-14000/scheduler.bin from sidnarsipur/controlnet_normal: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/sidnarsipur/controlnet_normal/resolve/main/checkpoint-14000/scheduler.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_normal/checkpoint-14000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/sidnarsipur/controlnet_normal/resolve/main/checkpoint-14000/scheduler.bin
1 kB
- Xet hash:
- e1f813457bc626973d8af889d2150424b9591441de34daa04a3263ce352d8dfc
- Size of remote file:
- 1 kB
- SHA256:
- 1693773abc7f45155c36387554802d6c4617d4ef15aeaae90156c786e525bc93
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