I would am not sure which one I find better but now you have options especially if you did not like the chin / faces in version A of realistic reborn. Nearly want to make a C version as sometimes it feels like it should be a mix of both.
I was looking for a way to make a very fast pony, after testing I decided to go for DMD2.
https://huggingface.co/tianweiy/DMD2
I decided to rename them as it makes more sense and I see the as different styles not as different versions.
As they all are using DMD2 the settings are pretty much the same for all of them:
LCM Karras or Normal
CFG 1, 4-8 steps
You can use CFG of 1.5 but not more and only after 8 steps.
Hires. fix I usually use 4 steps.
Bonus tip: sometimes it can be useful to remove the Pony scoring
Update:
Adetailer seems to do ok if I put the inpainting denoising strength to 0.2
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Incredible model! 2 passes are all it takes to generate a high quality image taking about 2 seconds. Great job on that!
Thanks, I think dmd2 is way underrated, like it better than some alternatives. Was just a bit fiddly as my other Pony models were already "fast".
@TiwazM聽Absolutely. Thank you for pointing my attention to it! Has been out for 3 months already and I did just see it today for the first time. 馃槄
I did not get around to testing it a lot yet, but so far it seemed to play nice with some non-accelerated models at least. I only tried 2 or 3 models, but both dmd2 versions worked nicely at just strength 1.0 out of the box, the fp16 one had no issues either.
@redpinkretro I just discovered it recently too :)聽Has been my experience too with some downloaded models.
This is like 12/10 good for folk like myself with a toaster running Stable Diffusion
Thanks, that the reason I made it and for Mac users ;)
@TiwazM聽lol I've been using this for like 6 hours straight lol
Brace urself a bunch of pics are coming soon
Adetailer works fine for me. The trick is to override the inpaint steps on the Adetailer to half the steps you use for the main generation.
Might try that later. One thing I noticed on the new version I am testing is reducing the de-noising strength to 0.2 but did not test it in the old one yet.
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Same model published on other platforms. May have additional downloads or version variants.