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_0.png from Jihyeon-2/lora-trained-xl_lhand: direct link, hf CLI and curl.
- Browser
- Download file 1.2 MB
-
https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_0.png
- Command line
-
hf download hf://Jihyeon-2/lora-trained-xl_lhand/image_0.png
-
curl -L -o image_0.png https://huggingface.co/Jihyeon-2/lora-trained-xl_lhand/resolve/main/image_0.png
1.2 MB

- Xet hash:
- 09b15785b254120a251a0546440290db4622adbdef2647d3a62d94a1c643c50a
- Size of remote file:
- 1.2 MB
- SHA256:
- ef22a0ecfcaa303eab09ac29a090f5d39692cd14201cb36bf81d9f66f5588bb5
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