Instructions to use althjs/sig_t_elderly_female_eastern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use althjs/sig_t_elderly_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_t_elderly_female_eastern") prompt = "hejin_sig_t, close-up portrait of an elderly Korean woman, soft pastel sweater, calm smile, Studio Ghibli watercolor" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 78f8e34a369a335d1cf335660b6f8dfe42835eeff91c70f1c1eae79fb9d63cf6
- Size of remote file:
- 292 kB
- SHA256:
- 8df87edd8ec5d20cd55422d57bd3dc2cc804b5818db26b9f890f332ffaf24526
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