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-mpii-pose-model-control-lora/diffusion_pytorch_model.bin from HighCWu/ControlLoRA: direct link, hf CLI and curl.
- Browser
- Download file 24.4 MB
-
https://huggingface.co/HighCWu/ControlLoRA/resolve/main/sd-mpii-pose-model-control-lora/diffusion_pytorch_model.bin
- Command line
-
hf download hf://HighCWu/ControlLoRA/sd-mpii-pose-model-control-lora/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/HighCWu/ControlLoRA/resolve/main/sd-mpii-pose-model-control-lora/diffusion_pytorch_model.bin
24.4 MB
- Xet hash:
- 7fe5cc56d0b7f2afe67a6e80a32b237028d4e7b9125586af80273a709cfd0be7
- Size of remote file:
- 24.4 MB
- SHA256:
- 34dccce2d034031bd1a37fb763f2fddb0e10f164ed31c0487937f0b2c3e5c55b
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