I have trained Flux Dev on my SDXL dataset and merged loras, correcting anatomy censorship and excessive bokeh/blurred backgrounds.

FP8 V2 - Electric Boogaloo: Better NSFW and skin/image quality.

Settings:
I find the best settings are a guidance and 2.5 and a CFG of 2.8 (although CFG does slow down the generation).
When using Loras these values may/will change.

Version: mx5 GGUF 7GB v1

This is a quantized version of my Flux model to run on lower-end graphics cards.

Thanks to @https://civitai.com/user/chrisgoringe243 for quantizing this, it is really good quality for such a small model.

There are larger-sized GGUF versions available here: https://huggingface.co/ChrisGoringe/MixedQuantFlux/tree/main
for mid-range graphics cards.

Version 2 - fp16:

For those with high Vram Cards who want maximum quality I have created this merge with the full fp16 Flux model. if you "only have 24GB of Vram" you will need to force the T5 text encoder onto the CPU/System RAM with this force node on this pack:
https://github.com/city96/ComfyUI_ExtraModels

Those people waiting for a smaller quantized model I am still looking into it.

Version 2:

Merged in 8 Step Hyper Lora and some others.

Settings:
I like a Guidance of 2 and 8-14 steps.

Resolution: I like a around 1280x1344

Version 1 : brings some of the benefits and look of SDXL with the massive prompt adherence benefits of Flux.
Settings:
I like a Guidance of 2 and 20-40 steps.