LoRA: Dahlia Custom Character (Flux-Dev)

Trigger Word: None required — prompts naturally.
This LoRA was trained on 39 images with natural-language captions, designed to provide consistent generations of a fit, athletic woman across a wide range of settings. Example images were generated with Flux-Krea -- Trained on Flux-Dev, so likeness will be more preserved and consistent on Dev.

📝 Training Details

• Model: Flux Dev (SDXL-based)

• Images: 39, auto-captioned

• Resolution: 1024x1024

• LoRA Type: Standard (character consistency)

• File Size: ~142MB

• Network Dim/Alpha: 32/32

The dataset focused on portraits with expressive emotions, varying fashion styles, and natural lighting, so the LoRA adapts well to most realistic scenarios. Dataset created with Qwen-Edit from a single image generation made with BigLovePonyXL to test the versatility of SOTA image editing models.

🎨 How to Use

• Works best with portrait photography, cinematic realism, or fashion concepts.

• No trigger word needed. Simply describe the subject in natural prompts (e.g., “athletic woman, portrait, natural lighting, expressive smile”).

• Strong activation with tags like: athletic, portrait, realistic, expressive face, fashion.

✅ Recommended Settings

• Weight: 0.6–0.9 for subtle consistency, 1.0–1.2 for stronger adherence.

• Model Base: Any Flux model tuned for realism or portrait photography.

⚠️ Notes

• Trained without a dedicated token — this is intentional, making the LoRA easier to blend into prompts.

• Fashion styles from 2000s college wear to formal and athletic outfits were included for variety.

• Overuse at high weights may reduce variety in generated faces.