If you are using ChatGPT, Gemini, Claude and so on for your prompt generation, you can feed it with this paste so the model knows directly how to use the LoRA - example prompts included.
Aetherium Couture: Grand Gowns is a Flux LoRA focused on monumental couture gowns with a strong fantasy-luxury identity. It is designed to generate dramatic, high-fashion looks built around sculptural silhouettes, sweeping trains, ornate embroidery, wing-like backpieces, crowns, filigree ornamentation, and elegant couture structure.
This LoRA is not aimed at simple generic evening dresses. Instead, it specializes in grand, editorial, highly stylized couture with a clear Aetherium design language: regal, theatrical, ornamental, and visually striking.
What it does well
grand couture gowns
sweeping trains and elongated silhouettes
sculptural bodices and fitted couture structure
ornate embroidery and filigree detailing
wing-like backpieces, butterfly wings, bat-like wings, angelic shapes
crowns, headpieces, ear ornaments, couture accessories
black, ivory, gold, red, blue, and other elegant color variations
studio, gallery, runway, palace, and editorial fashion settings
Style identity
This LoRA tends to produce body-centered, sculptural grand couture rather than classic heavy princess ballgowns. Many results combine fitted gown cores with dramatic trains, extensions, and ornamental backpieces, creating a strong fantasy couture look.
Trigger
aetherium_couture_grandgown
Recommended use
Works especially well for:
full-body fashion portraits
editorial couture concepts
regal / dark fantasy / angelic / gothic looks
highly ornamented ceremonial fashion
accessory and detail shots such as crowns, collars, and ear ornaments
This is, just like my other clothing LoRAs, not a “single outfit LoRA”. Instead, I trained the design language, giving you the freedom to create similar looking outfits and garments.
Would love to see what you create with it.
The LoRA was trained on the default flux1-dev model for maximum compatibility.
Dataset and training data:
114 images
5 steps per image
10 epochs
bucks with 1152px max size, no auto scaling
cosine scheduler with 0.2 warmup and 0.7 decay
Captioning was done with OpenAI
alpha == dim: 32
If you use it with other loras, for example a character lora, try to lower the weight - I had good results at around 0.4 - 0.5.
As always: I did not polish any of the images in the showcase, they all came out like this. I did 2 images per prompt and picked the better looking one.