Instructions to use burhansyam/kebaya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/kebaya 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.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("burhansyam/kebaya") prompt = "a indonesian woman wearing kebaya and hijab, she wears bold red lipstick and powerful eyeshadow, she looks very serious, she is wearing luminescence cream color outfit, the background is dominated by light pink, low angle lighting, hand on hip pose, masterpiece, best quality, highly intricate details, hijab_selfie" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K