Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use sidnarsipur/controlnet_rough with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sidnarsipur/controlnet_rough with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("sidnarsipur/controlnet_rough") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2600/optimizer.bin from sidnarsipur/controlnet_rough: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-2600/optimizer.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_rough/checkpoint-2600/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-2600/optimizer.bin
2.91 GB
- Xet hash:
- a1080bc3c5b3aa30929729b983a287424f88a6a74b2bf9c5d08f03d827d8a54c
- Size of remote file:
- 2.91 GB
- SHA256:
- 558a9b3ef578f2a2a3f5c10ca9bcc6879d1bbf5b923e4930e2463740e9dc8408
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