TAME Pony: The Authenticity MachinE

This model is all about maximum realism and sexiness. It aims to achieve a new level of realism for Pony models. While there are a lot of amazing Pony realistic models out there, most of them suffer from "Ponyness": their Pony heritage is immediately clear when you look at faces or anatomy. TAME certainly has its flaws, some of which I hope to remedy in future versions, but from what I can tell the amount of "Ponyness" is very low.

Many creators are jumping on the Flux bandwagon now, which is understandable. It's a great model. But for those of us stuck with older GPUs I don't think it is the best option (if it is an option at all). I've also noticed a degree of "Fluxness" is present in most/all of the fine tunes.

TAME began with a series of checkpoint merges, using block weight merge to combine a set of realistic PonyXL and SDXL models in a way that maintained the prompt adherence and flexibility of Pony. I then trained the resulting model on my own dataset to further improve the realism.

The Authenticity MachinE will not win any awards for creativity but it is damned good at making realistic pictures of women in any state of dress or undress.

Quick start:

Sampler: Euler a

Steps: 20

CFG Scale: 3

Resolution: 912x1280, 1024x1400, 1280x1536

Hires fix: ESRGAN_4x

Upscale by: 1.5

Hires steps: 10

Denoise: 0.3

Usage guide:

Score tags: You do not need score tags with TAME. Putting them in may not hurt but it likely won't help either, so why waste the prompt space?

Quality words: You do not need quality words (8k, masterpiece, best quality, etc) with TAME. They are a waste of prompt space.

Negative prompts: You do not need negative prompts with TAME unless there are specific things you want to exclude.

Positive prompts: Prompt length doesn't matter too much, but keep it simple. Words and phrases with commas in between. The model understands Pony style prompts, but does not do well with natural language prompts. TAME usually responds well to gentle prompting (take a look at the example image prompts), so don't use a lot of emphasis e.g., (large breasts:1.8) unless the model is being stubborn. Start by just telling it what you want, then play with emphasis, rearranging words, and more advanced techniques if you aren't getting the right results.

Don't fill up your prompt with nonsense words. Look at this example I copied from another model's gallery (RealVis XL V5.0):

"photograph the little catgirl, cat ears, wearing fur dark coat, 50mm . cinematic 4k epic detailed 4k epic detailed photograph shot on kodak detailed cinematic hbo dark moody, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, (masterpiece), (best quality), (ultra-detailed), the little catgirl, cat ears, wearing fur dark coat, illustration, disheveled hair, detailed eyes, perfect composition, moist skin, intricate details, earrings, cinematic still the little catgirl, cat ears, wearing fur dark coat . emotional, harmonious, vignette, 4k epic detailed, shot on kodak, 35mm photo, sharp focus, high budget, cinemascope, moody, epic, gorgeous, film grain, grainy, the little catgirl, cat ears, wearing fur dark coat, detailed, elegant, highly colorful, warm light, sharp focus, beautiful, intricate, expressive, rich deep colors, cinematic, cute, enhanced quality, creative, positive vibrant romantic atmosphere, depicted, perfect background, professional, thought, iconic, best, thoughtful, pretty, attractive, charming, confident, passionate"

I can't speak for RealVis because I didn't create it, but I strongly suspect that much of that prompt is doing nothing. What I can tell you is if you use that prompt with TAME you will not get great results. Here is a quick rewrite:

"catgirl,earrings,cat ears,wearing dark fur coat,warm lighting"

See how simple that is? From 142 words down to 10, that's more than a 90% reduction.

Adetailer: I do not recommend using Adetailer with TAME. In my experience it makes things worse. Most of the time you are better off with just Hires fix. If you are having trouble with e.g. a really small face then maybe give it a go, but don't expect miracles. Often changing the settings (sampler, prompt, resolution, steps, denoise, etc) will get you a better solution. For example, full body poses often render best at a more narrow resolution (square resolution often makes the faces smaller) and e.g. work better with Euler a than with DPM++ SDE. Too few steps can make things blurry while too many can cause artifacts and strange eyes. Higher denoise can fix more issues but can also mess things up.

Resolution: This model was trained on a high quality dataset with a max training resolution of 1536x1536. That means you can often generate at up to 1536x1536 without deforming your subjects. The model also works well at pretty much any width-height combination, even extreme ones.

Even a tiny change in the resolution typically has a large effect on the image (pose, etc). So be creative, try different resolutions!

Upscaling: I highly recommend using Hires fix, but make sure you choose a good upscaler. My favourite is 4x_NMKD-Siax_200k, but 4x_foolhardy_Remacri and ESRGAN_4x are also good choices. I generally set it to 1.5x resolution with approximately half the number of steps used for the first pass and a denoise strength of 0.2-0.4 (default for me is 0.3). You can of course upscale further if you desire.

Samplers: Euler a is highly recommended as it will give you good results with a range of settings. DPM++ SDE can work well with some images (avoid it for full body poses) but it really has to be dialed in or it will look terrible. Other working samplers include DPM++ 2S a, DPM++ 3M SDE, Euler, DPM2, DDPM, and LCM. Most others do not work properly with this model.

Schedulers: I haven't played around much with different schedulers, so you are on your own with that. I use Forge (an offshoot of Auto 1111) which has limited options for sampler/scheduler combos, but I haven't noticed huge differences in any case.

CFG Scale: Typically 1.5-5 is best (I keep it at 3 most of the time), but you can try going higher if you wish. Worst case you get a bad looking image or two, right?

Steps:

Euler a - 15-30 steps + 8-15 hires steps (for best quality I typically use 25 + 12)

DPM++ SDE - 6 steps + 4 hires steps (for pure speed you can even drop it to 5 steps and turn off hires fix, but don't expect mind blowing quality with this sampler)

DPM++ 2S a / DPM++ 3M SDE / Euler - 12 steps + 6 hires steps (these are decent starting points, but I haven't done in-depth testing with these samplers)

DPM2 / DDPM / LCM - I haven't played with these except to test that they work, so you are on your own

Notes:

On occasion you might notice a watermark appearing. This is either due to one of the models I merged in, or I made a few mistakes in cropping my own dataset. Either way just change the seed and it should go away.

The model is not great at counting fingers and sometimes creates too many or too few, especiallly in close-ups. If you have the the rest of the image dialed in but can't get the hands right, start generating batches using variation seed at a low strength... hopefully one of them will give you the correct number of fingers without drastically altering the rest of the image.

This model can generate very realistic vulvas, including the inside bits...the closer you are to your subject, the more realistic the vulva will be (see examples in the sample images). To get your subject to show you her innermost parts, use the term "spread *****". Variations might work, but this is the term the model was trained on. You can also use "pubic hair" or "female pubic hair" in the positive or negative prompt or with an emphasis of less than one (e.g. pubic hair:0.5) to dial in the amount of pubic hair. You can try adding clitoris and urethra to the prompt if the anatomy isn't quite right, especially in close-ups, but I'm not sure how reliably this works. The model should also understand "gaping *****" or "***** gape" but again I am not sure how reliably.

The model can also do peeing, squirting (to a limited extent), penetration, masturbation, fingering, dildo, vibrator, ****, titfucking, etc. If you are having trouble getting the girl to e.g. stick a cucumber in her ass, don't fill the prompt with different words and phrases. Use something like this: **** object insertion, **** cucumber. Those two phrases, in that order, should do the trick. The same trick works for bananas, bottles, etc. Usually the phrase "cucumber in anus" will render a cucumber, but the girl will not put it in her ass. This is generally true for many other models too, in my experience. If you are having trouble getting cunnilingus or titfucking to work, try altering the positions of your subjects to something that makes anatomical sense (might take a bit of trial and error, giving directions to multiple subjects in one prompt can be a pain in the ass).

Please use this model with care, given its realistic capabilities. I have used only images of adults in the training dataset, but the model may still be capable of generating inappropriate images due to existing content or merged models. I have thus far not encountered anything inappropriate by accident, and I do not have any intention of testing for it. In any case, please do not post anything inappropriate in the gallery. Furthermore, I am not responsible for any misuse that may occur.

Finally, I would like to acknowledge and thank the creators of these other wonderful models, whose work I built upon:

GODDESS of Realism by Oppkllll

CreaPrompt_Lightning_Hyper-SDXL by jice

Another Pony Realistic Merge by Error666

iCatcher Realistic by iCatcher

SatPony-NoScore by Sateluco

Juggernaut XL by KandooAI

LEOSAM's HelloWorld XL by LEOSAM

Crystal Clear XL by WarAnakin

Pony Diffusion V6 XL by PurpleSmartAI

Better Cum - Pony (Lora) by Topplok2