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_3.png from Jihyeon-2/lora-trained-xl_lhand: direct link, hf CLI and curl.
- Browser
- Download file 1.23 MB
-
https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_3.png
- Command line
-
hf download hf://Jihyeon-2/lora-trained-xl_lhand/image_3.png
-
curl -L -o image_3.png https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_3.png
1.23 MB

- Xet hash:
- 04f22716bbaa7d7b25080cf631662230a222c685904775f7bf28a440bdb21d1b
- Size of remote file:
- 1.23 MB
- SHA256:
- 63c38ffb5925292ae0f6aca5e8aecc198d97ac71130b105dc5f36418a8f5554b
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