How to use XaflocAI/blondejade 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("XaflocAI/blondejade") prompt = "A striking figure commands attention in this beautifully composed image, set against the backdrop of a charming Parisian street. The subject is dressed in an elegant navy blue dress with white trim, featuring a fitted bodice and a flared mini skirt. The dress is adorned with a pearl-embellished belt at the waist, adding a touch of sophistication. She accessorizes with multiple strands of pearls around her neck, matching earrings, and white gloves that extend to her elbows, completing the classic look. Her pose is poised and confident, with one hand resting gently on her hip and the other hanging by her side. Her long, blonde hair is styled in soft waves, framing her face beautifully. She wears white knee-high boots with a slight heel, which complement the overall outfit perfectly. The background features a tree with golden autumn leaves, casting dappled shadows on the ground, and a glimpse of iconic Parisian architecture, including a spire in the distance. The framing captures her from head to toe, allowing for a full appreciation of her attire and the setting. The lighting is soft and natural, highlighting the textures of her dress and accessories while creating a warm, inviting atmosphere. This image was captured using a 50mm f/1.2 lens, ensuring sharp details and a shallow depth of field that isolates the subject. <lora:blondejade_flux_lora_v1:0.8>" image = pipe(prompt).images[0]
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