Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use sidnarsipur/controlnet_height with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sidnarsipur/controlnet_height with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("sidnarsipur/controlnet_height") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-6000/optimizer.bin from sidnarsipur/controlnet_height: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/sidnarsipur/controlnet_height/resolve/main/checkpoint-6000/optimizer.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_height/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sidnarsipur/controlnet_height/resolve/main/checkpoint-6000/optimizer.bin
2.91 GB
- Xet hash:
- 23101ff9893a611ff3515d34d80096cd00c633f1723c3cd627d823fc9ab417ba
- Size of remote file:
- 2.91 GB
- SHA256:
- 0e419c6a16edb1453dd31f87ae7572c83fa156e2b0550a050fabca6e1e4c73fc
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