GLASSES - [Asian Women With glasses , ULTRA Realistic, MULTI PURPOSE]
LORA
Qwen
LORA
Qwen
Qwen - Beta

GLASSES - [Asian Women With glasses , ULTRA Realistic, MULTI PURPOSE]

Dead_Sec
Creator
⭐ 0.0
⬇ 847 Downloads
👁 2 Views
🖼 4 Images

Trained Words

sp3c_6ur7

About this model

Title: spec_gurl-v1 – Realistic Woman with Glasses [Close-up Character LoRA]

Description:

spec_gurl-v1 is a realistic LoRA character trained on a carefully curated dataset of women wearing glasses. This LoRA is ideal for generating high-quality portraits and close-up shots of a female character who consistently features glasses as a defining trait.

Perfect for cinematic renders, social-style photos, and expressive character studies, this LoRA preserves facial structure, skin detail, and lens reflections across multiple angles.


📌 Details:

  • Trigger word: spec_gurl

  • Model Base: SD1.5 (runwayml/stable-diffusion-v1-5)

  • Clip Skip: 2

  • Resolution: Trained with mixed resolutions (512x512, 576x512, 640x512)

    • Supports bucketed resolutions up to 512x768 and beyond

  • Training:

    • 102 images

    • 10 batch size

    • 10 epochs

    • 110 steps

    • Trained using Kohya LoRA (networks.lora)

  • File Size: 72MB

  • Hash: 89ed443e37f0


  • Prompt:
    spec_gurl <lora:spec_gurl-v1:0.95>, close-up, glasses, ultra-detailed face, natural lighting, bokeh background
    Pair with <lora:add_detail:1.8> for enhanced realism.

  • Recommended LoRA weight: 0.6 – 1.0

  • Best With:

    • add_detail, epi_noiseoffset, clearVAE, easynegative

    • Realistic base models like CyberRealistic, RealisticVision, or your custom blends

  • Notes:

    • Works best in portrait or half-body framing

    • Facial features remain consistent even at high-res

    • Character identity focuses on a realistic woman who always wears glasses


🏷️ Suggested Tags:

realistic, portrait, female, glasses, woman, photo, photorealistic, character, close-up, lora, sd1.5, cinematic, detail, kohya, clip-skip-2, curated-dataset, 512x768, multi-angle, bucket-train

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