Instructions to use WiroAI/Lisa-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Lisa-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/Lisa-Flux-LoRA") prompt = "lisawiro, A graceful woman with long wavy black hair and piercing brown eyes, dressed in a flowing white summer dress. She stands barefoot on a sandy beach at sunset, her hair gently moving with the sea breeze. The golden light illuminates her serene expression, with calm waves and a vibrant orange sky in the background. Ultra-HD, realistic, capturing fine details of her dress, hair, and the tranquil seaside setting." image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Lisa-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Lisa-Flux-LoRA", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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