Instructions to use althjs/sig_p_50s_male_eastern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use althjs/sig_p_50s_male_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_p_50s_male_eastern") prompt = "hejin_sig_p, close-up portrait of a Korean man, modern casual shirt, calm smile, Studio Ghibli watercolor" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 9e31ffcd85c16890ece166cc4c3e5af83f814ceded53feb2ebe067f87d6b3154
- Size of remote file:
- 366 kB
- SHA256:
- 82957c9f9e6a7633e1f573f0a8f4157e4532366eaba1c6257efdfff57d9f6a41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.