Helena is the sixteenth release in a series (RLY Thot Shots) of female character LoRAs.
Helena is a contradiction. From the Trailer Park in the American Deep South to Milan, Italy. Raised in rural Alabama, now models for Vogue. Chews tobacco and vapes but loves caviar and foie gras. Wears YSL to Mudfest. You can take the girl out of the trailer park, but you can't take the trailer park out of the girl. You'll catch her at the shooting range in heels.
Fun-fact: she's also Irena's half-sister (raised apart).
Note: This LoRA was aggressively trained on Z-Image ("base"), but also works very well with ZiT (Turbo).
Works best with its trained trigger: rlyhelena
Recommended strength:
Z-Image: ~1.0
Z-Image Turbo: 1.0-1.2 (imo). Feel free to experiment.
To share your own art and discuss all things (sfw and nsfw) realistic AI image/music/video generation, join myself and other model creators and enthusiasts on Unstable AI.sland: https://discord.gg/B6BSCbdAJX
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FAQ
Comments (6)
Definitely one of your most interesting character and YET... no Klein 9B this time :*(
Sad, you're one of the only LoRa creator here who trully understood the power of using a ZiT + Flux combo with respective LoRa, which is the best
Hopefully, it is coming at some point. Great work otherwise!
Cheers! K9B already trained. Just have a lot in the pipeline. You'll see her this week.
@AlanLJ ZIB -> ZIT/F2K is even more powerful than what you described, imo. @RaymondLuxuryYacht Personally, seeing a creator move from ZIT to ZIB makes me happy. There are so many great ideas wasted on ZIT. It does not handle multiple loras well at all, unlike ZIB, which is superior at creating diverse bases.
@AiliotAlderson You'll be happy to know that all the Thots have been ZiB-trained now. Will release them as I have time to whip up their showcases and descriptions/instructions.
@AiliotAlderson I'll also add that ZiT's LoRA stacking issue can be mostly remedied by using this custom node (for multiple LoRAs): https://github.com/ethanfel/ComfyUI-LoRA-Optimizer. Works great even on autopilot.
You can also throw this LoRA into your stack to reclaim a lot of t2i/pose variation issues that ZiT has compared to ZiB: https://huggingface.co/F16/z-image-turbo-sda.
@RaymondLuxuryYacht Thanks for the info, that's absolutely huge. Cheers! :)

