Diffusers How to use Frogger40/mara2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Frogger40/mara2")
prompt = "m4r4kr34, A highly realistic candid iPhone photo captures a young woman with beautiful, shoulder-length dark brown hair, smiling warmly directly at the camera. She is seated comfortably on a dark, black slatted public bench, leaning slightly forward in a relaxed, inviting posture. She is dressed in a casual yet stylish outfit: a fitted dark brown leather jacket worn over a crisp white button-down shirt, paired with loose-fitting, light grey wide-leg jeans. On her feet, she wears simple green flip-flop sandals. She is holding a white takeaway coffee cup with both hands, resting it near her lap. The setting is urban and architectural, positioned outside a classic European-style building with a light-colored stone facade (the number '28' is visible on the left). Behind her, a large, ornate window reflects the surrounding street scene, showing a glimpse of the building across the street and a blurred figure (a man in a light beige jacket) sitting inside, perhaps at a café table. The lighting is bright, soft natural daylight, giving the scene a warm, golden, and very approachable feel. The photo is framed in a medium close-up, capturing her from the waist up, and feels like a genuine, everyday lifestyle snapshot with realistic skin texture, subtle pores, and natural color grading"
image = pipe(prompt).images[0] 
