Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
controlnet
control-lora-v3
diffusers-training
Instructions to use HighCWu/control-lora-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HighCWu/control-lora-v3 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("HighCWu/control-lora-v3") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download imgs/normal2.png from HighCWu/control-lora-v3: direct link, hf CLI and curl.
- Browser
- Download file 1.43 MB
-
https://huggingface.co/HighCWu/control-lora-v3/resolve/main/imgs/normal2.png
- Command line
-
hf download hf://HighCWu/control-lora-v3/imgs/normal2.png
-
curl -L -o normal2.png https://huggingface.co/HighCWu/control-lora-v3/resolve/main/imgs/normal2.png
1.43 MB

- Xet hash:
- 2bd6cf436c6220c2a172d6fb0ace94271e68b364835c118557cc36717067b612
- Size of remote file:
- 1.43 MB
- SHA256:
- ce91d4c1e83627f782c8f9dabc92e3e6fdadb60db2490c1ffda2c95d43432e37
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