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
Download sd-danbooru-sketch-model-control-lora/diffusion_pytorch_model.bin from HighCWu/ControlLoRA: direct link, hf CLI and curl.
- Browser
- Download file 79.4 MB
-
https://huggingface.co/HighCWu/ControlLoRA/resolve/main/sd-danbooru-sketch-model-control-lora/diffusion_pytorch_model.bin
- Command line
-
hf download hf://HighCWu/ControlLoRA/sd-danbooru-sketch-model-control-lora/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/HighCWu/ControlLoRA/resolve/main/sd-danbooru-sketch-model-control-lora/diffusion_pytorch_model.bin
79.4 MB
- Xet hash:
- 830282d9c62624695d87bf51c7330adcde4c6a97331294de4c19f377df9d585a
- Size of remote file:
- 79.4 MB
- SHA256:
- 35c08dbc5cdd02efffe4cac20c38e541d2600d6786db583d1f2773f1b7dc1b80
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