Instructions to use althjs/sig_n_40s_female_eastern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use althjs/sig_n_40s_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_n_40s_female_eastern") prompt = "hejin_sig_n, 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:
- 79b12f77c8ed78c512d394ac8f29d7d045ea94b798274cc11a299462e456c625
- Size of remote file:
- 317 kB
- SHA256:
- 8f4d16a75deacb5b3e97dcde740b7a595674e3bdc7db118a538ac27feadce125
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