Instructions to use lwgithub/sdxl-controlnet-lora-17163 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lwgithub/sdxl-controlnet-lora-17163 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lwgithub/sdxl-controlnet-lora-17163") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-50/optimizer.bin from lwgithub/sdxl-controlnet-lora-17163: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/lwgithub/sdxl-controlnet-lora-17163/resolve/main/checkpoint-50/optimizer.bin
- Command line
-
hf download hf://lwgithub/sdxl-controlnet-lora-17163/checkpoint-50/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lwgithub/sdxl-controlnet-lora-17163/resolve/main/checkpoint-50/optimizer.bin
15 MB
- Xet hash:
- 74ab20b9f0c51d0303102480ab4d342186224adb8e5a62ae28a0883c03949a5c
- Size of remote file:
- 15 MB
- SHA256:
- 0143a9aa7688afe85f5e8731475bc4b661b28fbf14c83fbe9cb5d855d58878c1
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