Current SOTA model in my experiment:

• Flux model : Flux1-A1

• SDXL Base model : Gv4 is the most balanced model allowing both realistic and styled NSFW and SFW images. Better aesthetic than Fv5.

• SDXL photorealist (SFW and NSFW) model : Fv5 is the way to go for hyper-realism including realistic NSFW images but it mostly lacks the styling capabilities of Gv2.

• SDXL Illustration : Gv4 (SFW and NSFW). Cv6 is however still worth a try if you are not into NSFW images.

Flux A serie is my first Flux.1 model created by merging Flux-dev-fp8 with several Loras I have trained using my dataset. At this point it has to be considered as a WIP and it is not clear whether it will be possible to create a versatile base model using this approach. But Flux is obviously the SD3 we were all hoping for and its capabilities out of the box are quite amazing.

Image Generation Settings for SDXL models

DPM++ 2/3M SDE / Karras or Exponential are always a good bet with 25+ steps and CFG around 5-7. But DPM++ SDE / Karras with less steps (e.g. 12) and higher CFG (8-11) is worth a try.

The default CLIP Skip of 2 is also a good bet, but using 1 or 3-4 is also worth trying: 1 push more towards prompt adherence and 3-4 give sometimes a better result than the default focusing more on the "concepts".