Instructions to use Jihyeon-2/lora-trained-xl_lhand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jihyeon-2/lora-trained-xl_lhand 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-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jihyeon-2/lora-trained-xl_lhand") prompt = "a photo of sks hand" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from Jihyeon-2/lora-trained-xl_lhand: direct link, hf CLI and curl.
- Browser
- Download file 1.21 MB
-
https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_2.png
- Command line
-
hf download hf://Jihyeon-2/lora-trained-xl_lhand/image_2.png
-
curl -L -o image_2.png https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_2.png
1.21 MB

- Xet hash:
- 78293dbcab4f4c2926c3b63ffca83ced987ef51685945f35e3c70af325f73680
- Size of remote file:
- 1.21 MB
- SHA256:
- 98263d7d384d1d414404a51d675cfede04ed7c9cfa24004708f4b7356306f55e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.