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:
- bfef8f020f41e0838410d558aa0283d023e0cdbcef71745fd16f9de528cd3e7f
- Size of remote file:
- 24.4 MB
- SHA256:
- d1c192f779d5f85db2fa00fb2a6277c2605ad3c9066e098b0ff7e139c8d713dd
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