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-960/random_states_0.pkl from sidnarsipur/controlnet_rough: direct link, hf CLI and curl.
- Browser
- Download file 14.4 kB
-
https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-960/random_states_0.pkl
- Command line
-
hf download hf://sidnarsipur/controlnet_rough/checkpoint-960/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-960/random_states_0.pkl
14.4 kB
- Xet hash:
- 228527a0d7056d785e4c1ef17653d2b66fcaaebbdf39aab8acc58c371514e28e
- Size of remote file:
- 14.4 kB
- SHA256:
- 973fd115db48675a9235f9f1e5eea9980dd485083d964b714c36d1fb33a2c497
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.