Instructions to use WiroAI/Jeongyeon-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Jeongyeon-Flux-LoRA 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("WiroAI/Jeongyeon-Flux-LoRA") prompt = "jeongwiro, A stylish woman with short jet-black hair and bold red lipstick, wearing a black leather jacket over a graphic T-shirt, paired with ripped skinny jeans and heeled boots. She leans casually against a sleek motorcycle, the neon city glowing behind her." image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Jeongyeon-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Jeongyeon-Flux-LoRA", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!