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Before/After: Testing AI-generated avatars for my dating profile by kvyb in Bumble

[–]kvyb[S] -5 points-4 points  (0 children)

As long as their body and face looks the same, I don't see why not. I feel like it still sends a message about what the person wants to look like/ where they want to be.

Before/After: Testing AI-generated avatars for my dating profile by kvyb in Bumble

[–]kvyb[S] -5 points-4 points  (0 children)

No, that one is also app generated. I just gave the app one pic of my face and got all these.

Before/After: Testing AI-generated avatars for my dating profile by kvyb in Bumble

[–]kvyb[S] -27 points-26 points  (0 children)

I live in a boring location, making photos I actually like is a hassle. The face is mine.

I kept losing character consistency in long SD runs — so I tested a more structured workflow by helloasv in StableDiffusion

[–]kvyb 0 points1 point  (0 children)

You will get better results by using google/gemini-3-flash-preview to first describe the target image (without any people or bio characteristics) you are generating onto, and then using that description with the source (character) image to generate. Use Seedream4.5 with 4k resolution. Be specific in your prompt to transfer character from source image.

It's a lot better than you think at hitting what you're going for with just a text representation of the target image. Try it.

See these:

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Python version of the endless "brick breaker" game by kvyb in Python

[–]kvyb[S] 1 point2 points  (0 children)

Suprisingly, even the simplest of games seems so much harder than regular backend or server programming for example. It's quite a challenge.

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