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