Portrait Realistic Pro 1 is a focused side-branch developed alongside Landscape Realistic Pro 4, created to expand and explore the stylistic limits of high-fidelity portrait generation.

Instead of relying on a single monolithic training run, this project follows a multi-train → selective merge workflow. Multiple LoRA training sessions were conducted to isolate and amplify distinct portrait styles, lighting behaviors, and facial realism characteristics, enabling finer control over stylistic diversity while maintaining visual consistency.

Training data sources

The LoRA training data was generated using:

• Z-Image-Turbo outputs (Apache License)

• Landscape Realistic Pro outputs (CC-BY)

By training on model-generated but stylistically controlled outputs, this branch investigates how realism, texture coherence, and portrait structure can be strengthened without collapsing into a single aesthetic or subject identity.

Intended use

This model is suitable for:

• Realistic portrait rendering

• Style-diverse facial compositions

• Experimental workflows and future merging within the LRP series

Portrait Realistic Pro 1 is not designed as a replacement for LRP, but as a complementary exploration aimed at broadening the expressive range and stylistic flexibility of the overall system.

Demo prompt

Prompt:

portrait photo of a young woman, natural skin texture, detailed eyes, soft cinematic lighting, 85mm lens, shallow depth of field, realistic pores, subtle blush, high detail, professional photography, clean background, photorealistic

Negative prompt:

lowres, blurry, bad anatomy, deformed, extra fingers, missing fingers, bad hands, waxy skin, plastic look, uncanny, cross-eye, text, watermark, logo, jpeg artifacts, oversharpened