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
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This is a collections of control-lora-v3 weights trained on runwayml/stable-diffusion-v1-5 and stabilityai/stable-diffusion-xl-base-1.0 with different types of conditioning.
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You can find some example images below.
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# ControlLoRA Version 3 Pretrained Models Collection
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This is a collections of control-lora-v3 weights trained on runwayml/stable-diffusion-v1-5 and stabilityai/stable-diffusion-xl-base-1.0 with different types of conditioning.
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You can find some example images below.
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