My take on an XL Pony, intended to veer more towards realism by default but without losing any knowledge of specific characters or concepts from the base model. Does not contain any third-party data from non-Pony XL checkpoints or Loras. Constructed solely from a series of bucketed 1280px Florence-2 Large / WD-VIT-3 captioned Loras that I trained myself directly on Base Pony, and iteratively merged at various strengths. All-in-all, version 1.0 has ~6500 images worth of new data.
Recommended basic positive prompt:
score_9, score_8_up, score_7_up, optional_rating_whatever, optional_source_whatever, your prompt here
Recommended basic negative prompt:
score_3_up, score_4_up, score_5_up, sketch, greyscale, monochrome, (simple background:1.3)
Recommended sampler / CFG / steps settings:
Euler Ancestral with Normal scheduling at 7.0 CFG and 25 - 35 steps is always a good starting spot. DPM++ SDE GPU and DPM++ 3M SDE GPU can also give nice results (at lower CFG, around 4.0 - 5.0, Exponential scheduling for 3M, Normal scheduling for uh, normal) if you're really aiming for realism.
If you use an up-to-date installation of ComfyUI, the "Clip Set Last Layer" node is NOT necessary with XL models like this one. Just do not use it.
Description
Various subtle improvements, in preparations for the probably somewhat more significant V3.0.
FAQ
Comments (4)
V2.0 out now!
V3 almost done training, should be ready / out later today.
OK I really lied about how long V3.0 was gonna take I guess lmao. Wasn't completely happy with some of the results (that I hadn't expected), so took a bit to kind of correct. Will release today for sure though in any case.
I've taken this thing back to the basics. Originally it had like some not-actually-fully photographic content in the dataset. I've removed this and retrained everything from scratch, seems to be the only way as V2 was essentially too far down a path I didn't want to be on really. V3 will be probably called "Redux" or "Reboot" or something instead.
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.


