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:
- ba807b2eee9c63c0dd9a930cb9cdca9afb4337870fa0880f620a8c380b753d7d
- Size of remote file:
- 309 kB
- SHA256:
- f9638381abd4fc8822f56992f2df73db21e207763be17b795b9a885d98d6e026
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