Instructions to use WiroAI/Chaeyoung-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Chaeyoung-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/Chaeyoung-Flux-LoRA") prompt = "chaeyoungwiro, A K-pop singer with jet-black hair styled in a sleek bob and glowing fair skin, wearing a shimmering gold off-shoulder dress. She stands on a grand stage, illuminated by soft spotlights, holding a sparkling microphone with grace. Her intense gaze captivates the audience. Ultra-HD, realistic, with intricate details of her outfit and the glamorous atmosphere" image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Chaeyoung-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Chaeyoung-Flux-LoRA", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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