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-15000/scheduler.bin from sidnarsipur/controlnet_rough: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-15000/scheduler.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_rough/checkpoint-15000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/sidnarsipur/controlnet_rough/resolve/main/checkpoint-15000/scheduler.bin
1 kB
- Xet hash:
- 3b7a8fda7680b9930596d84b14559900c15e2f29cf2f98381ccc609a2fba8139
- Size of remote file:
- 1 kB
- SHA256:
- bb5488e48edf134f11b30bc97f9db87ef384ca8eea75a0471520f372e45b82a0
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