---
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](https://github.com/ostris/ai-toolkit)
<Gallery />

## 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](/cctuan/ygyg-wed/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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](https://huggingface.co./docs/diffusers/main/en/using-diffusers/loading_adapters)