How to Build AI-Powered Real‑Person 3D Scenes: From Style Exploration to LoRA Fusion

In the rapidly evolving field of digital creation, AI is reshaping how realistic human and 3D scenes are produced, enabling low‑cost, high‑fidelity results for film‑grade environments, personalized digital humans, game characters, and commercial ads.

1. Style Exploration – Define the Tone

Before starting an AI‑generated real‑person scene, creators must align requirements and concretize the visual style. For example, the 58 to Home brand chose a clean, premium look with bright backgrounds and professional service vibes, which then guides the subsequent character creation.

2. Doubao‑Assisted Workflow

The Doubao tool transforms abstract ideas into actionable steps:

Element sorting : List all visual components, e.g., “30‑year‑old professional cleaning staff wearing a black apron, blue‑green T‑shirt, holding a cloth, in a bright high‑end living room.”

Keyword writing : Expand the element list into detailed prompts using either a content‑instruction method (feeding the list to AI) or a case‑reference method (providing a model prompt for AI to follow).

Image refinement : Iterate on the generated images by adjusting keywords and finally polish the result with Photoshop.

3. Stable Diffusion (SD)‑Assisted Workflow

The SD pipeline focuses on three core stages:

Write person keywords : Craft detailed prompts, ensuring any LoRA trigger words are included.

Configure (train) a person LoRA model : Gather style‑consistent training material (multi‑angle shots, action poses, close‑ups), use a stable base model such as Flux, and perform several training iterations. Training data can be captured by photography or generated by AI.

Parameter configuration : Adjust iteration steps and other settings according to the LoRA’s characteristics.

To achieve a 3D‑style version of a real‑person LoRA without retraining from scratch, the method overlays a 3D‑style LoRA onto the existing real‑person LoRA. Weight ratios control the final appearance: keeping the real LoRA at 0.8‑1.0 and the 3D LoRA at 0.2‑0.3 yields a subtle 3D effect, while a 1:1 ratio produces a strong hybrid style.

This flexible LoRA combination extends beyond real‑person and 3D models; any style LoRA can be stacked (e.g., flat‑illustration LoRA with a real‑person LoRA) to break stylistic boundaries and unlock new visual expressions.

Ultimately, the process demonstrates how technical tools and creative thinking co‑operate: from 2D style anchoring, through Doubao and SD pipelines, to 3D model overlay and weight tuning, enabling creators to let AI serve imagination while maintaining control over quality and uniqueness.