Art Nouveau - Flux
Parole Chiave e Tag Correlati
Prompt Consigliati
ArsMJStyle, art nouveau
Parametri Consigliati
samplers
steps
Suggerimenti
Works without the trigger words ArsMJStyle, Art Nouveau, but gives stronger results with them.
For all other versions, works great in the 0.3 - 1.5 range depending on the Lora Stack used; recommended starting range is 0.8 - 1.
For Flux, use in the 0.2 - 1 range, starting about 0.6.
Try both version 1 and version 2 to see which style and composition you prefer.
Punti Salienti della Versione
Recommended range is 0.2 - 1 strength .
The LoRA give REALLY strong effect. I would recommend starting low ~0.6 and adjusting according to your preferences. If you don't use other LoRA you will have significat difference in the composition and colors compared to stock Flux even as low as 0.2 .
I would not recommend using it above 1.3 strength.
All images in the Showcase Gallery were created using this workflow and the Flux Q4 Dev model on a machine with 8GB VRAM:
https://civitai.com/models/658639/super-simple-gguf-quantized-flux-lora-workflow
The Lora is trained on 140 MidJourney Images that use my "Personalised Style" + Art Nouveau
The dataset is diverse and tries to capture the true spirit of Art Nouveau seen through my lens, not just portraits in Alphonse Mucha style.
Works without the trigger words ArsMJStyle, Art Nouveau, but gives stronger results with them.
For all other versions:
Works great in the 0.3 - 1.5 range, depending on the Lora Stack you use.
I recommend starting in the 0.8 - 1 range
For Flux:
Use in the 0.2 - 1 range
Start ~0.6
V2 Changes:
I've completely rebuilt the dataset, to better reflect the evolution of my MidJourney style and LoRA structuring/labeling I use.
This new version (v2) is based on a curated dataset of 250 images:
100 Portraits
150 Landscapes, Buildings, Animals, and Abstract Paintings
The colors and composition in v2 offer a distinct experience compared to v1, so I encourage you to try both versions and see which one you like the most.
Recommended settings remain the same as v1.
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