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-1920/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-1920/optimizer.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_rough/checkpoint-1920/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-1920/optimizer.bin
2.91 GB
- Xet hash:
- 06ed8c6b2dca06838003e2ab6eb6b0164bae69e2a0ce21aa412e973f77cacb25
- Size of remote file:
- 2.91 GB
- SHA256:
- 2a082906c47de086d66703c63d503661207dd0593a93911e723e45cbf4dd252a
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