---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
    url: images/ComfyUI000057_00004_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00006_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00009_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00010_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00011_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00012_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00020_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00021_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00022_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00025_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00026_.png
  text: '-'
- output:
    url: images/ComfyUI000057_00027_.png
  text: '-'
base_model: 'sdxl'
instance_prompt: hureal
license: creativeml-openrail-m
---
# HumanUltraReal_XL

<Gallery />

## Model description 

Trigger word: hureal

HumanUltraReal_XL is a modular SDXL LoRA trained on approximately 120 professionally curated images, designed to deliver high‑fidelity realism across a wide range of photographic scenarios.
The model focuses on portrait performance, half‑body accuracy, multi‑ethnic consistency, and robust lighting&#x2F;scene adaptability, while maintaining a neutral, non‑stylized output.

The LoRA was built using a balanced, multi‑concept dataset (faces, lighting, environments, outfits, poses), allowing it to generalize cleanly without imposing a fixed aesthetic.
It preserves the structure of the base model while enhancing realism, skin texture, lighting behavior, and subject coherence.

Core Capabilities
Portraits (close‑up)
High facial fidelity

Clean skin texture

Stable eyes and facial structure

Excellent performance across ethnicities

Strong response to makeup, lighting, and expression prompts

Half‑body
Accurate anatomy and proportions

Natural posture and clothing behavior

Strong consistency across indoor&#x2F;outdoor environments

Excellent light integration (soft, hard, rim, warm, ambient)

Lighting
Soft diffused light

Hard directional light

Rim light

Warm&#x2F;cinematic tones

Studio and natural daylight

Stable shadows and color balance

Environments
Studio backgrounds

Indoor ambient light

Outdoor daylight

Urban and natural settings

Clean subject–environment integration

Training Overview
Images: ~120

Dataset type: professional, curated, multi‑concept

Architecture: SDXL LoRA (modular training)

Focus: realism, neutrality, flexibility

Goal: enhance realism without imposing style or identity

Recommended Settings
Trigger word: hureal

LoRA weight: 0.8 – 1.2

0.8 → more neutral, base‑model‑friendly

1.0 → balanced realism

1.2 → maximum fidelity and detail

Base models: realistic SDXL checkpoints (photo‑oriented)

CFG: 5–7

Resolution: 1024×1024 or higher

Prompting: photographic, minimal, clean

Ideal Use Cases
High‑quality portraits

Editorial half‑body shots

Lookbook and fashion concepts

Lighting tests

Multi‑ethnic character creation

Realistic photography workflows

## Trigger words

You should use `hureal` to trigger the image generation.


## Download model


[Download](/jarod2212/HumanUltraReal_XL/tree/main) them in the Files & versions tab.