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---
license: other
tags:
- lora
- text-to-image
- style
- qwen-image-2512
- musubi-tuner
base_model: Qwen/Qwen-Image-2512
pipeline_tag: text-to-image
---
# PFA Style LoRA
A style LoRA trained on **Qwen-Image-2512** that captures the *Proud Family: Louder and Prouder* art style. Generate any subject — new characters, scenes, environments — rendered in the show's distinctive look.
## Trigger Word
```
pfa style
```
Prepend `pfa style,` to the beginning of every prompt. This is the token that activates the style.
## Prompting Guide
### Use natural language, not tags
Qwen-Image-2512 uses Qwen2.5-VL as its text encoder, which expects **natural language sentences** — not booru-style comma-separated tags.
**Good:**
```
pfa style, A close-up front-facing portrait of a teenage girl smiling warmly
in a school hallway with warm interior lighting.
```
**Bad:**
```
pfa style, 1girl, close-up, portrait, front view, teenager, smile, school hallway
```
### What to describe in your prompt
- Subject identity (age, skin tone, hair, clothing, expression)
- Action or pose
- Setting and environment details
- Lighting and time of day
- Camera angle and composition (close-up, wide shot, full-body, etc.)
### What NOT to put in your prompt
The trigger word carries the visual style. Do not describe the art style itself:
- Avoid: `cartoon`, `animated`, `2D`, `drawn`, `illustrated`, `stylized`, `anime`
- Avoid: art-medium or quality words
### Example prompts
```
pfa style, A close-up front-facing portrait of a teenage girl smiling warmly
in a school hallway with warm interior lighting.
pfa style, A wide shot of a suburban house and front yard under a bright sunny
blue sky, no people in frame.
pfa style, A full-body shot of a businessman in a gray suit holding a coffee cup,
standing at a city bus stop in the rain under an overcast sky.
pfa style, A teenage girl with braids reading on her bed in a cozy bedroom
with fairy lights.
pfa style, A wide suburban street at golden hour with a black family walking
their dog.
```
## Checkpoints
Three checkpoints are provided at different training stages:
| File | Epochs | Notes |
|------|--------|-------|
| `pfa-style-v4-200.safetensors` | 200 | Early style emergence |
| `pfa-style-v4-400.safetensors` | 400 | Expected sweet spot |
| `pfa-style-v4-600.safetensors` | 600 | Strongest style, watch for overcook |
Lower epoch checkpoints preserve more subject detail; higher epochs push harder toward the show's look. Try 400 first.
## Inference Parameters
| Parameter | Value |
|-----------|-------|
| Inference steps | 20 |
| Guidance scale | 4.0 |
| LoRA multiplier | 1.0 (reduce to 0.75 if overcooked) |
| Image size | 832x832, 480x832, or 832x480 |
| Attention mode | torch |
### Recommended negative prompt
```
photorealistic, hyperrealistic, flat white eyes, no iris, dot pupils, creepy eyes
```
## Training Details
- **Base model:** Qwen-Image-2512
- **Method:** LoRA via [musubi-tuner](https://github.com/kohya-ss/musubi-tuner)
- **Rank:** 16
- **Alpha:** 16
- **Optimizer:** AdamW 8-bit
- **Learning rate:** 5e-5
- **Mixed precision:** bf16
- **Dataset:** 30 images with natural-language captions