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HIGH-IMPRESSION REFERENCE-IMAGE QUERY

Google Veo 3 reference images for character consistency: what works now

If you searched for google veo 3 reference images character consistency, the useful answer is not "just write better prompts." The real answer is that Google officially supports reference-image workflows for keeping elements consistent, while UlazAI's live Veo 3.1 route currently gives you one or two frame images for tighter shot control.

Quick answer

Google's Vertex AI documentation says Veo can use subject images to preserve appearance, and that workflow supports up to three images of a single person, character, or product. Google's October 16, 2025 Veo 3.1 guide also points to reference images for keeping characters and styles consistent across multi-shot scenes.

On UlazAI today, the live Veo 3.1 path is more practical than that broader official workflow: one image URL centers the generation around a source frame, and two image URLs let you create a first-frame to last-frame transition. That means the right next step depends on whether you want a fast studio test, a paid render path, or API details.

Need the prompt side first? Go to Veo prompting best practices. Need account access before you buy? Start with the free-access guide.

Why this page matters
  • Query match: people are asking about reference images, not a vague brand tool.
  • Commercial fit: the next click should be studio, pricing, or docs.
  • Trust: this page now distinguishes official Google capability from the current live UlazAI route.
Official Google side

Reference images preserve appearance

Google's Vertex AI docs say Veo can use subject images to preserve the appearance of a person, character, or product in the output video. That is the real foundation behind the query cluster this page ranks for.

Official image count

Up to three subject images

The official reference-image workflow supports up to three images of a single person, character, or product. That is broader than a basic image-to-video prompt and closer to a consistency workflow.

UlazAI live route

One or two frame images today

UlazAI's live Veo 3.1 docs currently expose one or two imageUrls for frame control. Use one image to anchor the shot, or two images to drive a first-frame to last-frame transition.

What to expect from character consistency right now

This is the distinction that matters if you do not want a bait-and-switch page.

Question
Official Google framing
UlazAI live path
Can reference images help keep a character consistent?
Yes. Google's docs describe subject images and consistent elements workflows for maintaining appearance across generated video.
Yes, but the practical live route is frame control plus stable prompting, not a magic one-click character-memory feature.
How many images can I use?
Google's subject-image workflow supports up to three images of a single person, character, or product.
UlazAI's current Veo 3.1 docs expose one or two image URLs for frame control.
What is the best next click?
Keep reading if you are trying to understand the official capability and best-practice prompt logic.
Go to Studio for tests, pricing for paid runs, or docs if the real job is API integration.

A workable character-consistency flow for UlazAI

Step 1

Start from a strong source frame

Use one clear source image when the goal is to keep one character's face, styling, outfit, or silhouette stable. If the shot must transition between two controlled states, use a first frame and last frame.

Step 2

Keep identity traits fixed in the prompt

Do not rewrite the character every time. Reuse the same age, clothing, hairstyle, accessories, camera distance, and tone anchors so the frame input and the text prompt are not fighting each other.

Step 3

Test fast before you scale

Run the workflow in Veo 3.1 Fast first. When the identity and motion feel stable enough, then move into the paid path or the higher-quality route for production output.

FAQ

Does Google Veo 3 support reference images for character consistency?

Yes. Google's Vertex AI documentation says Veo can use subject images to preserve appearance in generated video output.

How many reference images can the official workflow use?

Google's reference-image guide says the subject-image workflow supports up to three images of a single person, character, or product.

What does UlazAI support right now?

UlazAI's current Veo 3.1 route uses one or two image URLs for frame control. That is the live path if you want to anchor a shot to one frame or transition between a first and last frame.

What should I click next if I want actual output?

Open Veo 3.1 Studio if you want to test the workflow, pricing if you are moving into paid generations, or docs if you need the API path.

Take the clean next step

Use studio for a live test, pricing for the paid path, or docs for implementation. This page should route you forward, not trap you in vague feature copy.

Official references: Google Vertex AI reference-image guide and Google's October 16, 2025 Veo 3.1 prompting guide.