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
- Draw Things
- DiffusionBee

- Xet hash:
- 49932d8010781f15aeb95788f0348c9fb592cb00ffd678218006f306f3e0139c
- Size of remote file:
- 1.69 MB
- SHA256:
- ae354eaa8f98ca1128e961074d7f7e971980cf33c713b95ee050e45829b6bca0
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