Image-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
control-lora
Instructions to use HighCWu/sd-control-lora-head3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HighCWu/sd-control-lora-head3d with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("HighCWu/sd-control-lora-head3d") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 1fb3e7c7b346a8de3319e42658ca1d4d90288fa2c10ece8c0d7f8de8306fdd5c
- Size of remote file:
- 1.09 MB
- SHA256:
- c3e1a1fd7701fd4a2c9595725e9619f94196ac818c9dc0420fdeb4abd7e9e2a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.