Pony Diffusion V6 Prompting Guide
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Pony Diffusion V6 Prompting Guide

Requirements

Download the model and load it in to whatever you use to generate images.

Positive Prompt Stuff 

score_9, score_8_up, score_7_up, score_6_up, rating_explicit, source_furry,

I just assumed you wanted explicit and furry, you can also set the rating to rating_safe or rating_questionable and the source to source_anime, source_cartoon, source_pony, source_rule34 and optionally mix them however you’d like. Its your life! score_9 is an interesting tag, the model seems to have put all it’s “artsy” knowledge in there. You might want to check if it is for your taste, it just makes your gens painterly. The other interesting tag is score_5_up which seems to have learned a little bit of everything regarding quality and I honestly couldn’t figure out if the best place for it is in the negative or positive prompt, so I just don’t put it anywhere, while score_4_up seems to be at the bottom of the autism spectrum regarding art, I do not recommend using it, but you can do whatever you want!

You can talk to Pony in three ways, use tags only, tags are neat, but you can also just type in The background is of full white marble towers in greek architecture style and a castle. and use natural language to the fullest extent, but the best way is to mix it both, its actually recommended since the score tags by definition are tags, and you need to use them! There are also artist styles that seeped into some random tokens during training, there is a community effort by some weebs to sort them here.

Other nice words to have in the box depending on your mood:

detailed background, amazing_background, scenery porn

Other types of backgrounds include:

simple background, abstract background, spiral background, geometric background, heart background, gradient background, monotone background, pattern background, dotted background, stripped background, textured background, blurred background

After simple background you can also define a color for the background like white background to get a simple white background.

For the character portrayal you can set many different types:

three-quarter view, full-length portrait, headshot portrait, bust portrait, half-length portrait, torso shot

Its a good thing to describe your subject or subjects start with solo or duo or maybe trio, group , and then finally start describing your character in an interesting situation.

How to Prompt Female Anthro Lions with PonyXL

Positive prompt:

anthro female african lion

Negative prompt:

mane

Yep, that’s all it takes.

An AI generated image.

Thanks to OCPik4chu on Discord for the tip!

Related Posts

Styles

Style LoRAs for Stable Diffusion models focus on adapting the neural network to replicate specific artistic styles, visual aesthetics, or rendering techniques. These adaptations modify how the model interprets and generates visual elements like brushstrokes, color palettes, shading techniques, and overall artistic presentation. Style LoRAs can transform outputs to match anything from classical art movements (like impressionism or art nouveau) to modern digital art styles (such as anime, pixel art, or watercolor). They work by fine-tuning the model's attention layers to recognize and reproduce distinctive visual patterns and techniques associated with the target style, while requiring relatively few training images (typically 15-50 high-quality examples) to achieve good results.

Characters

Character LoRAs specialize in teaching Stable Diffusion models to generate consistent representations of specific characters, including their facial features, body proportions, clothing, and distinctive attributes. These adaptations are particularly popular in the AI art community for creating consistent representations of original characters, celebrities, or fictional personalities. Character LoRAs require careful curation of training data (typically 20-50 high-quality images) that clearly show the character's defining features from various angles and expressions. They primarily work by fine-tuning the model's attention mechanisms to maintain consistency in facial features, body proportions, and characteristic details while allowing for natural variations in poses and expressions. The training process often focuses on the upper layers of the model responsible for high-level feature recognition and generation.

Concepts

Concept LoRAs teach Stable Diffusion models to understand and generate specific objects, creatures, or abstract concepts that weren't well-represented in the original training data. These adaptations modify the model's understanding of semantic relationships and visual features associated with particular subjects. For example, a concept LoRA might help the model better generate specific architectural elements, unique creatures, or particular objects with consistent characteristics. Concept LoRAs typically require more diverse training data than style LoRAs (usually 50-100 images) to capture different angles, contexts, and variations of the subject matter. They work by adjusting both the model's cross-attention and feed-forward layers to better recognize and reproduce the defining features of the target concept.