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:
- 6bad5e85e503d75e7be979125343969b3860be2bb758708790504da11dfdf910
- Size of remote file:
- 406 kB
- SHA256:
- 4528637859398128fd74f5ca0d1f514cfd1474e118607723fec2d83a0dce21fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.