Wasp stinged lips haha 🤣
this post was submitted on 03 Jul 2025
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Perchance - Create a Random Text Generator
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Try proving a few more details. You can't be vague with the new model, it'll fallback to the basics it was trained in. And it's obvious that the flex females predominantly had lip contouring.
Thats really not it, I mean tyhis is nowhere close to the face i wanted but marilyn monroe is a perfect likeness, so it can do SOME faces fine but not as many as before
Yeah famous people were removed. Monroe is so iconic that you probably can't isolate the training data, the same for most presidents or elvis or people like that.
Try throwing some minor variable data into the descriptions of your character, example:
A casual photo of a genuine {23|24|25|26|27}-year old woman, she has an {aquiline|up-turned|celestial|button} nose, and is of {German|Dutch|Belgian|French|Welsh} ancestry.
The actual characteristics don't mean anything in real life, but you can get it to stop being so monotonous in the renders this way. Sometimes a simple change of age changes the template of whatever its rendering.
Another thing to try is t not rely on presets. Professional Photo is especially annoying because of how limited the "look" is. Instead, try "No Style", and hack up the presets. Try taking some of the added tags from 90s photo for example.
Also, telling it to be unique sometimes actually helps. "She has a unique beauty" and so on.
It's really annoying but possible to get it to stop doing what you describe.
So you're saying this as in you have great success with this tactic? Please provide results with prompts.
Yes, I have had some success with it. It's rather difficult to simply reproduce an issue like this. If you have a prompt where you are getting a lot of the same faces, maybe you can post it here and I can try what I've suggested on it or see if I can help.
Off the bat, the Professional photo preset has a lot of same-ish output. Using 90s photo or Casual Photo, I assume because the training data (social media photos, family, school & work snaps etc.) is just so incredibly diverse, will by default tend to offer more variation.
I just hit "randomize" several times in my generator and they all look like different people to me. Of course, you need to fill a lot of details which my generator does for you, so you don't have to type anything.
Unless I'm mistaken, the OP wanted a diversity along the lines of the same prompts, not simply randomized output. All of your images there are tapping into vastly different domains. Try describing a human being with the constraints of a scene, clothes, a particular action, and that's where it can get homogeneous.
Same prompts lead to the same results, give or take. The OP said FACES and EVERY TIME in caps, suggesting he's getting the same faces everytime he's using the i2t which is not true. I was just trying to point out that there are ways to describe many details and change that.
I picked a random text2image generator from the generator list
Art Style: No Style No Negative, Guidance Scale 7
With the prompts you really need to be aware that an x year old woman can yield quite older looking females than an x year young woman. The same can be said of woman vs. girl vs. female. Depending on the run the differences can be quite distinct.
And A professional casual photo... vs. A casual photo... will definitely yield different results. The same goes for professional casual and casual professional.
...old woman
Prompt: A casual photo of a genuine {23|24|25|26|27}-year old woman, she has an {aquiline|up-turned|celestial|button} nose, and is of {German|Dutch|Belgian|French|Welsh} ancestry.
...young woman
Prompt: A casual photo of a genuine {23|24|25|26|27}-year young woman, she has an {aquiline|up-turned|celestial|button} nose, and is of {German|Dutch|Belgian|French|Welsh} ancestry.
...young female
Prompt: A casual photo of a genuine {23|24|25|26|27}-year young female, she has an {aquiline|up-turned|celestial|button} nose, and is of {German|Dutch|Belgian|French|Welsh} ancestry.
Hey, very good catch with the 'old' thing. I've noticed it can hone in on such abstract details and emphasize them. Sometimes I have to avoid using the word girl or young because the AI will go a bit too "girl" and wayyy too "young." Like a 30-year old woman with a 3-year old's face kind of thing.
Depending on the age of a person you require, some obvious choices:
- newborn, baby, toddler, x-th grader, middle/high-schooler, (pre) adolescent, teen(ager), tween, x-something, middle-aged, elderly, ancient, etc., optionally combined with early/late (though 'late ancient' must be minutes before death).
- x aged girl/woman/female, be careful though, as 'aged' also means 'grown old'.
- use old/young only if you're out of options (or just don't care).
- don't mix human speech/slang/street-talk with proper grammar/spelling.
- assume AI is stupid, just an algo traversing statistics and weight values.
Yah, the perks of the English language disambiguity will require you to be quite specific in your prompts. Using a dash (-) between words worked for SD, but Flux can be quite quirky (using the '-' as a negatory?).
Additionally, the t2i-framework-plugin-v2 [brain] button (, which uses the ai-text-plugin) does wonders for none-native English people like me.
FYI: use 'guy' for male versions as 'man' usually yields a hairy body builder with a 'wishful-thinking' reproductive organ.
assume AI is stupid,
Definitely don't have to twist my arm on that one.
Using a dash (-) between words worked for SD, but Flux can be quite quirky (using the ‘-’ as a negatory?).
Holy crow, this is really friggin useful to know and I probably would never have figured it out myself. Thank you! I wonder how many renders I've ruined by negging things I actually wanted to emphasize...
The easiest way to get a contorted, twisted body is to define a woman's chest and genitals in the prompt combined with a 'backside view'. As humans we instantly understand the front side of the woman will probably not be visible, AI not as much and tries to show both front and backside.
(All tests with 6 images and 'no style')
Try this one, just for fun: A {|candid|professional} photo of an ugly {woman|female|girl}
Options 'blank' or 'candid' will mostly yield wrinkly females in their late 40s/50s regardless of the type, while 'professional' mostly yields (freckled) plastic fantastic with age depending on type. AI definitely thinks ugly females are old and wrinkly. With 'Professional' the AI just cannot believe ugly old people want a picture of themselves and smoothens their faces and keeps them relatively young.
Another one: A photo of an old girl <= notice the missing period at the end
Who said I wanted an old 1920s photo capturing a young female with a weathered face? Now add a period '.' at the end of the prompt. A completely different age category.
When I casually mention 'whow, that old girl still has a nice rack', we all know what I mean. Why can't AI?
Okay, let's go for that: A photo of an old girl with a nice rack. Oh my, that was unexpected.... (most certainly NSFW at any age, definitely, regardless of a '.' at the end).
A photo of an old girl with a nice rack and a supermodel body. NSFW again, some improvements, but where did I mention 'nekkid'? Granted, I did say 'body'...
A photo of an old girl with a nice rack and a supermodel body wearing a dress. Totally different attitute (and thanks to the heavens for the dress). With or without '.' makes quite a difference. Without seems to yield better quality.
Closing, let's add 'professional' again: A professional photo of an old girl with a nice rack and a supermodel body wearing a dress. Ahh, here's my goodlooking granny... Wrinkled, true, but will still turn heads (one way or another anyway). Here too without '.' seems to yield (somewhat) better quality, more close up portrait style.
Lesson: know what you want and be specific.
But, dang, who said she had to be in her late 70s? When I'm 6yo, 25 is old already...
Yes, I've definitely figured out all your very good points on my own. Still, such subtleties such as "-" introducing a negating effect or a missed piece of punctuation being a big deal is good to be reminded of. Have you noticed any difference with commas? I notice I have some phantom commas, i.e.: "she's wearing black, ,holding a dagger". I wonder if these are changing the renders, I just assume its being interpreted as noise.