--- 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