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
Upload pytorch_lora_weights.safetensors
Browse files
sdxl-control-lora-v3-canny-half_skip_attn-rank16-conv_in-rank64/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e0a8fab2f459370ad5dd86c80269d4fa9b4b8839ee1c0d8d0ee98daa8158381
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size 24613912
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