Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
controlnet
control-lora
Instructions to use HighCWu/ControlLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HighCWu/ControlLoRA with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("HighCWu/ControlLoRA") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a0256f562c07e64c730497c837cddd4290e0515047dc8aa7305dff95f67933e9
- Size of remote file:
- 24.2 MB
- SHA256:
- 9d908c223e25342362765bcc0f1ae94a20e14093959a4d5d6682b881beaa735b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.