From choosing a reference to changing angles and outfits. Start with the identity comparison, then choose a guide for your workflow.
Given a single reference photo, can a model put the same person in a new scene? We ran GPT Image 2, Nano Banana 2, and Seedream 5.0 Lite under identical conditions and recorded latency, cost, and identity retention.
Why an attached reference still comes back as someone else. The three causes are model choice, which image you picked, and the sentences you should have left out.
Do you need to train a LoRA to keep the same person or character? We compare attaching a reference against training, on cost, setup, and what happens when you switch models.
How to pin a character's look in text when you cannot attach a reference image — which attributes to make explicit, and which sentences to leave out.
A front-side-back turnaround needs two things at once: the angle you asked for, and three views staying aligned. Measured, those are the strengths of two different models.
