Instructions to use althjs/sig_r_50s_female_eastern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use althjs/sig_r_50s_female_eastern with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("althjs/sig_r_50s_female_eastern") prompt = "hejin_sig_r, close-up portrait of a Korean woman, soft pastel sweater, calm smile, Studio Ghibli watercolor" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 3cabdf828ef951de19cc1f1b53c4f2f6ca276ba6fe58df8b06a9ebc3e5dd2ad7
- Size of remote file:
- 354 kB
- SHA256:
- cf6450a442300a6746dfcf71904bf47665742efc5fcf2c03edc1e56a5bacfaea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.