Instructions to use WiroAI/Jennie-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Jennie-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/Jennie-Flux-LoRA") prompt = "jenniewiro, A cheerful K-pop star with wavy blonde hair and glowing skin, wearing a colorful oversized hoodie covered in cartoon prints. She poses playfully in a recording studio, holding a giant pair of headphones over her head with a wide, exaggerated grin. Ultra-HD, realistic, capturing her vibrant energy and comedic charm." image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Jennie-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Jennie-Flux-LoRA", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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