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-5200/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-5200/optimizer.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_rough/checkpoint-5200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-5200/optimizer.bin
2.91 GB
- Xet hash:
- 181cd487dd29d3622e38009dfa29371ac828a511946bb3c6201d1f1ec0422cc5
- Size of remote file:
- 2.91 GB
- SHA256:
- 1ba48ec8d11579533454ea5e132f6bfb11f763bd9a9fa1d06ac5edac6c3e17e5
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