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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://sidnarsipur/controlnet_height/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sidnarsipur/controlnet_height/resolve/main/checkpoint-3000/optimizer.bin
2.91 GB
- Xet hash:
- 19d1162293b789e469f2ba1d5b829b7cb82db98fe315eae4984d536f348ad8f4
- Size of remote file:
- 2.91 GB
- SHA256:
- facc981d2d3e8552e88cf5581c7ebf1176f3d0e2d140fecf21c1ddc88b25c69c
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