All models on Betterwaifu.com are trained on Pony Diffusion XL. We call them PDXL models, to distinguish them from SDXL and SD1.5 models.
Pony Diffusion XL models have a couple of unique characteristics that make them different from other models, both in terms of results and prompting technique.
The most important one – these models are good at hentai. The best ever created. They know what you are trying to do in a NSFW context, much more than SDXL or SD1.5 models.
Optimal Settings
Let’s talk about getting better images. Most of the settings on Betterwaifu.com are preset to give you good results, but let’s talk about each one for clarity
- Resolution: 832×1216 (Portrait L) / 1216×832 (Landscape L) / 1024×1024 (Square)
- Portrait L is the default on BetterWaifu. Since PDXL models are trained with 1024×1024 images, you can get the best results if the sum of length and width of the image is 2048 pixels. (832 + 1216 = 2048)
- Sampling Steps: 26 – 50 is the best range
- I usually use the default of 35.
- CFG Scale: 7.5
- I usually use the default of 7.5. If you reduce this, you will pay less attention to the prompts and you may get the results you do not want. On the contrary, if you increase it, you may still get bad printouts as it will give more importance to the prompts. Don’t hesitate to try.
- Sampling Methods: Use what you like best
- I use default DPM++ 2M SDE Karras, you can also try Euler-a, DPM++ 2M SDE, DDIM
Pushing styles
We collect all kinds of images (Cosplay, 3D, CGI, Real, Realistic, Semi-Realistic, Anime, Draw, Sketch etc.) for a character. Therefore, as the prompts show similarity, the outputs tend to shift to the image type of the relevant image. For example, as the prompt you wrote resembles the prompt of the image I used in the training, the output shifts to the style of the similar image. To prevent this, write the style you do not want to see as negative. For example, if you do not want a “cgi” style output, add a “cgi” prompt to negative.
Some Resource
First of all, before continuing the article, I will give some links and explain what they are.
Some Recommendations Prompts That Can Increase Your Production Quality
Quality tags for Pony v6 and variations: (Use in Prompt section)
score_9, score_8_up, score_7_up, score_6_up, derpibooru_p_95,
You may want to write the score_6_up prompt as negative. I use it this way.
Extra Quality Prompts: (Use in Prompt section)
detailed eyes, beautiful, detailed background, perfect eyes,
Use it if you want anime style: (Use in Prompt section)
source_anime, very aesthetic, anime screencap, anime coloring,
Use it if you want realistic style: (Use in Prompt section)
photography, realistic sun light and shadows, photorealism, UHD --ar 9:16 --style raw --stylize 700,
rating_safe, cinematic, cinematic photo, close-up, portrait, orange rim lighting, atmospheric, bokeh, dynamic angle, vibrant lighting, dramatic shadows, highly detailed, realistic, high contrast, extremely detailed, photorealistic, professional, detailed skin, depth of field, film grain,
Use it if you want realistic style: (Use in Negative section)
(score_3_up, score_4_up, score_5_up), sketch, drawing, cartoon, greyscale, monochrome, anime, 3d, cgi, source_cartoon, source_furry, source_pony, source_anime
Try the prompts until you get the output you want. Examining images produced by other people is also a good way to learn.
These below will draw or rather (filter) your prompt and image to these specific datasets, OR you can put these in the negative.
source_pony
source_furry
source_anime
source_cartoon
rating_safe
rating_questionable
rating_explicit
Score prompts, you can use them all, or actually use a selection of what group of the scored dataset to use, less means a tighter dataset but could yield better or worse results.
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up
score_9, score_8_up, score_7_up, score_6_up
score_9,
source, rating, and score will constrain the images used to those sources or ratings, and may help in drawing out a character, such as if you know its from an anime, or cartoon.
you can think of the score as a part of the dataset that just include images with that rating up to 9, ie. if you choose a lower score you will only pull from those lower rated iamges. You can also put some of the “score’s” in the negative! an example is
score_6, score_5, score_4, chromatic abberation, artifacts, ugly, bad image,
For different angles:
from_below,
from_above,
from_side,
close-up,
upper body,
portrait,
contrapposto
General Negative prompt for Pony: (Use in Negative section)
score_6, score_5, score_4, derpibooru_p_low, lowres, bad anatomy, bad hands, text, cropped, worst quality, low quality, jpeg artifacts, signature, watermark, username, blurry, artist name, mosaic censoring, twitter username, logo, limited palette, monochrome, (Blurred poorly drawn eyes), (out of frame), (bad quality eyes), (asymmetric eyes), long neck, elongated neck, blurred eyes, undetailed eyes, ugly face, blurred, grainy, cut off, oversharpened, sign, amateur, extra limbs, dull colours, boring, lacklustre, bad art, text, abominations, more than 2 legs, more than 2 hand, fused hands, bad proportions,colorless, glitch, bad face, distorted face, messed up eyes, deformed, extra limb, extra finger, bad hands, broken finger, black and white,
Or you can Negative Embeddeds.
Enjoy!
Source
