Instructions to use althjs/sig_v_elderly_male_eastern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use althjs/sig_v_elderly_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_v_elderly_male_eastern") prompt = "hejin_sig_v, close-up portrait of an elderly 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:
- 06cabba830cbe60eb9fcb34b47b87fd2353f35913750524dd6a58efc25102670
- Size of remote file:
- 309 kB
- SHA256:
- 8774d96f00919262c04cad1b69465c5cd37a863b28e927f3cd1c72c6962034dd
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