Splits positions [Pony XL]

While working on another lora I noticed that Pony doesn't really know the horizontal splits position (it does know vertical splits however).

Versions

• 1.0: LyCORIS/Dora (requires Automatic1111 1.9+) with extended dataset and improved tagging

• 0.6: Standard Lora with smaller dataset

Adetailer is recommended for both versions

Tags

The model knows the following 3 main positions (bold are the tags)

1. horizontal splits

2. vertical splits

3. horizontal splits,upside-down

With the following supportive tags you can generate most splits positions:

• top-down bottom-up

• arched back

• upside-down

• on stomach

• on back

• bent over

• ...

Perspective tags

• front view

• from behind

• from below

• from above

• from side

• ...

Negatives

If you notice that the model goes too much 3d, put "3d" in the negative prompt. Some of the images in the dataset leaned a bit too much into 3d for my liking, but I wanted the model to learn the concept better.

"watermark" helps agains the watermark and logos, but unfortunately the model still struggles with it a bit (kinda burnt myself out manually editing the dataset images to get rid of background and watermarks, but as it turned out, this also worsened the model T_T)

I've been told that the model quite frequently seems to create two females instead of one. If that is the case for you, specifying 1girl and/or solo female in positive and 2girls in the negative prompt might help. Most likely this happens because there is one image in the training dataset, which has two females in a vertical pose, because I wanted the model to learn to also support multiple persons.

I will try to fix it in the next version

Resolutions

I mostly use the following resolutions, not sure if others work:

• 1216x832

• 1344x768

• 1024x1024 (sometimes the model tries to fit in the full body making the legs unproportionally short)

• 768x1344

• 832x1216

I used a new training method and I'm not entirely content with the results yet, so I will probably retrain the model using my old method, but it will take some time to adjust the dataset etc.

For now enjoy the model, it should work pretty well for most cases

Happy prompting, I'm looking forward to your creations!