metadata
base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
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
output:
url: samples/1726253238947__000001000_0.jpg
- text: >-
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
output:
url: samples/1726253342944__000001000_1.jpg
- text: >-
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.
output:
url: samples/1726253446745__000001000_2.jpg
instance_prompt: w3gyy
ygyg-wed
Model trained with AI Toolkit by Ostris
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