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:
- 879aca8ae89cde6c8a3df86214808e5955f8808d93ed5c6e7daaa98280843c83
- Size of remote file:
- 368 kB
- SHA256:
- c784a052e672cf88409e11c94bbf53f74fca6a7cca8516826cbb54a15d8fb52b
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