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-75/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-75/optimizer.bin
- Command line
-
hf download hf://lwgithub/sdxl-controlnet-lora-17163/checkpoint-75/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lwgithub/sdxl-controlnet-lora-17163/resolve/main/checkpoint-75/optimizer.bin
15 MB
- Xet hash:
- 99c6a6534ba1a2e7d1010d2615dbabd257ab231f1f2c6c36d15d0604d84e1d05
- Size of remote file:
- 15 MB
- SHA256:
- 1406b274b78a625c4440d47ace1b44bbf80cbe19941fb73360fcfdaa82c91f86
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