ygyg-wed

Model trained with AI Toolkit by Ostris

Prompt

A romantic newlywed couple in elegant wedding attire, standing on a picturesque beach at sunset. The bride wears a flowing white gown, and the groom is in a classic black tuxedo. Soft golden light illuminates their faces as they gaze lovingly into each other's eyes. Gentle waves and a colorful sky in the background w3gyy

Prompt

An intimate forest wedding scene with a bride and groom. The bride wears a bohemian-style lace dress, while the groom is in a light gray suit. They stand hand in hand beneath an arch of wildflowers and fairy lights. Sunlight filters through the lush green canopy, creating a magical atmosphere of w3gyy

Prompt

A stylish urban wedding portrait of a couple on a rooftop garden. The bride wears a modern, sleek wedding dress, and the groom is in a navy blue suit. They pose against the backdrop of a city skyline at dusk, with twinkling lights and skyscrapers visible. Potted plants and string lights decorate the rooftop, adding a touch of romance to the metropolitan setting of w3gyy.

Trigger words

You should use w3gyy to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('cctuan/ygyg-wed', weight_name='ygyg-wed')
image = pipeline('A romantic newlywed couple in elegant wedding attire, standing on a picturesque beach at sunset. The bride wears a flowing white gown, and the groom is in a classic black tuxedo. Soft golden light illuminates their faces as they gaze lovingly into each other's eyes. Gentle waves and a colorful sky in the background w3gyy').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers