Overview

Gen-4 Image Turbo with references enables generation of consistent characters and locations using 1-3 reference images. The model preserves visual identity while allowing transformation of lighting, poses, settings, and styling through text prompts.

Core Features

• Character preservation: Maintain facial features and identity across different scenes
• Location consistency: Generate multiple angles and shots of the same environment
• Multi-reference support: Use up to 3 reference images per generation
• Conversational prompting: Natural language descriptions with iterative refinement

Optimal reference images

• Natural, even lighting (avoid harsh shadows)
• Neutral expressions for maximum flexibility
• Moderate to high quality
• Clear subject visibility

Usage Patterns

Single Reference

Use text prompts to describe transformations while preserving character identity.

@character_name wearing a leather jacket in a cyberpunk city

Multi-Reference

Combine character and scene references for precise control.

@character sitting in @location with dramatic lighting

Scene Generation

Create consistent environments from different angles.

show the castle courtyard from above
wide shot of the same location at sunset  

Advanced Workflows

• Iterative refinement: Use generated outputs as new references to build complex scenes step-by-step.
• Separate pathways: Develop character and environment references independently, then combine.
• Element isolation: Generate specific clothing, poses, or lighting setups as references for final compositions.