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Creating consistent AI videos where the character, style, and location remain identical across multiple scenes is a major challenge for creators. Google Flow, Google’s advanced AI creative studio powered by Veo 3.1 and Gemini Omni, solves this by offering native workflows specifically designed for filmmaking. By leveraging "Ingredients" (reference images), Scenebuilder, and the Google Flow Agent, you can lock in your character’s face, clothing, and environment across different shots without them shifting or morphing between cuts.
To achieve perfect consistency in Google Flow, you need to use a structured multi-step workflow. This includes generating multi-angle character sheets, registering them as visual references, utilizing the "last frame" trick, and stitching clips inside Scenebuilder. In this guide, we will break down exactly how to use these features step-by-step to produce professional-grade, consistent AI videos on your phone or laptop.

The foundation of character consistency in Google Flow is the "Ingredients" feature. Instead of relying solely on text descriptions, you can upload reference images that the AI model (like Veo 3.1 or Gemini Omni Flash) uses to ground its generations.
To get started, you should generate a multi-angle "Character Sheet." You can do this by toggling on Agent Mode in the prompt box or using a standard image generator like Imagen 3 inside Flow. Use a prompt that generates the same character from front, side, and 3/4 views. Once you have a high-quality sheet, save it.
To register your character in your project:
@ to open the asset dropdown. Select your uploaded character sheet. It will appear as a tagged ingredient (e.g., @CharacterName).To ensure the AI understands the physical details of your character before you even generate the video, you need a highly detailed, structured text description. You should keep this description block identical and reuse it across all your prompts.
Copy and paste this template to generate your initial character sheet and to paste into your video prompts:
Character Sheet, multi-angle view showing front profile, 3/4 view, and side profile of a 25-year-old Indian man named Aarav. He has short, styled black hair, light stubble, warm brown eyes, and a friendly expression. He is wearing a simple olive green crewneck t-shirt and dark blue jeans. Clean studio lighting, neutral solid gray background, consistent scale and features across all views, cinematic photography style.
When you transition to generating video scenes, keep this description block at the beginning of your prompt, followed by the specific action and environment:
[Insert Reusable Character Description Block here] @Aarav is now sitting in a dimly lit cafe in Mumbai, drinking tea, cinematic lighting, shallow depth of field, 8 seconds.
When you want to transition from one shot to another while keeping the character in the exact same position and outfit, the "last frame" technique is highly effective.
Alternatively, if you are using the Google Flow Agent, you don't even have to manually stitch frames. You can simply use conversational editing. Keep the session open and type:
"Extend the video, pan the camera to the left, and have @Aarav walk towards the door."
Gemini Omni Flash will automatically analyze the context and physics of the existing scene to generate a seamless continuation.

A common mistake beginners make is changing the style description between shots. If your first shot is "cinematic, 35mm lens, warm lighting," your second shot must use the exact same aesthetic keywords.
To lock in your visual style:
16:9 (for landscape/YouTube style) or 9:16 (for portrait/Instagram Reels style) and keep it locked for the entire project. Mixing aspect ratios forces the AI to crop and re-render details differently.Once you have generated your individual consistent video clips, you need to assemble them into a cohesive story. Google Flow provides a built-in timeline tool called Scenebuilder.
Since video generation consumes credits, it is important to plan your workflow efficiently. Here is a quick breakdown of the credit costs for different models in Google Flow:
| Model / Feature | Credit Cost (Non-Ultra) | Credit Cost (Ultra Subscriber) | Best Used For |
|---|---|---|---|
| Veo 3.1 Lite | 10 credits / gen | 5 credits / gen | Fast drafts, testing character poses |
| Veo 3.1 Fast | 20 credits / gen | 10 credits / gen | Standard social media content, quick iterations |
| Veo 3.1 Quality | 100 credits / gen | 100 credits / gen | Final cinematic renders, high-detail scenes |
| Gemini Omni Flash (720p) | 7 - 15 credits (by length) | 7 - 15 credits (by length) | Multi-turn conversational editing & extensions |
| Omni Video Editing | 40 credits / gen | 40 credits / gen | Modifying specific objects or backgrounds |
Note: All Google Flow users get 50 free credits daily, which do not roll over. Paid plans (Plus at $4.99/mo, Pro at $19.99/mo, and Ultra at $99.99 - $199.99/mo) add extra monthly credits to your account. Check the official Google Flow page for the most up-to-date regional pricing and subscription limits.
You can generate a "prop sheet" or "clothing sheet" showing the item from multiple angles. Drag and drop this sheet into your project, tag it as an ingredient using @, and mention it explicitly in your prompt (e.g., "wearing the @GoldNecklace").
If you use a start frame where the character is not physically visible (for example, a landscape shot), the Omni model might ignore the tagged character reference and generate a new person. To fix this, either use the Flow Agent to conversationally command the character to "walk into the frame," or briefly edit the start frame in an external tool to paste a rough cutout of your character at the edge before uploading.
Yes, but with limitations. The free tier provides 50 daily credits, which is enough for 5 Veo 3.1 Lite generations or 2 Fast generations per day. However, since a single Veo 3.1 Quality generation costs 100 credits and credits do not roll over, you will need a paid Google AI subscription to access the highest-quality rendering model.
Inside the prompt box, click on the model name, select Video, go to Ingredients, and click Add Voices. Select a voice sample (or reference your custom voice) and tag it in your prompt using @Voice: Name. Veo 3.1 will contextually pair the visual dialogue with the chosen voice reference.


