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_1.png from Jihyeon-2/lora-trained-xl_lhand: direct link, hf CLI and curl.
- Browser
- Download file 1.26 MB
-
https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_1.png
- Command line
-
hf download hf://Jihyeon-2/lora-trained-xl_lhand/image_1.png
-
curl -L -o image_1.png https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_1.png
1.26 MB

- Xet hash:
- 97d82cbd4dbb668cceb6f75561dfbc4a4dd1092ca029866f020820e05f6ac17c
- Size of remote file:
- 1.26 MB
- SHA256:
- 900f4c2184b7bebe7b425ba25351a9ef348bb2b2baa98048b31898cc0aec7aab
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