video-generation

# How to Use Google Flow for iOS Step by Step

Google Flow for iOS turns the photos and video clips already sitting on your iPhone into starting material for new AI-generated videos.

Instead of waiting until you reach a desktop, you can capture an idea, start shaping it on your phone, and continue the same project later from another device.

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## Google Flow for iOS Starts With Your Camera Roll

The biggest change with Google Flow for iOS is that your camera roll becomes part of the creative process.

Before the mobile app arrived, Flow was much more tied to desktop use.

Now an idea can begin with something you already captured on your phone.

That could be a product photo, a screenshot, a holiday picture, a short clip, or an ordinary image that was never intended to become content.

You open Flow, choose the media you want to use, and describe what you want it to become.

The app then uses that source as the starting point for the generated result.

This changes the role of old images because they no longer have to sit untouched in your photo library.

A product image can become a short promotional clip.

A still image from an event can become a more cinematic scene.

A five-second phone video can become the starting point for something with a completely different mood.

The value is not that every old photo suddenly deserves to become a video.

The useful part is having thousands of possible starting points already available without needing another photo shoot.

## Download Google Flow for iOS And Open The App

Getting started begins with installing Google Flow from the App Store on your iPhone or iPad.

Once installed, open the app and sign in with the Google account you want to use for your projects.

Your available features and generation limits can depend on the Google AI access connected to that account.

After signing in, spend a moment looking at the project area before trying to generate anything complicated.

The mobile interface is built around creating from the media already available on your device.

Give the app access to the photos or clips you actually want to use.

You do not need to begin by uploading your entire camera roll into a project.

Start with one image that has an obvious subject and a clear purpose.

Google Flow for iOS becomes easier to understand when your first experiment is something you can judge immediately.

A clean product photo is a good example because you know what needs to stay consistent.

An uncomplicated image also helps you see what Flow changes when you describe motion, lighting, atmosphere, or camera movement.

Once you understand that basic process, more ambitious ideas become much easier to attempt.

## Turn One Photo Into A Video With Google Flow for iOS

Choose a photo from your camera roll and decide what you want the finished clip to communicate.

The instruction does not need to explain every technical filmmaking term you know.

Focus on what should happen in the scene, how it should feel, and what should remain recognizable.

A product sitting on a table might become a cinematic advertisement with sunlight moving across the scene.

You could ask for slow camera movement, warmer lighting, and subtle motion around the subject.

Google Flow for iOS uses the original image as visual context while generating the new sequence.

That means the photo gives you much more control than beginning with text alone.

You already know the starting composition, object, or person you want the model to work around.

The prompt then becomes your direction for what happens next.

If the first result is not right, change one important part of the instruction rather than rewriting everything randomly.

You might adjust movement first, then lighting, then the overall mood.

That keeps the creative process focused and helps you understand which instruction produced each change.

## Google Flow for iOS Can Start From Video Clips Too

Photos are not the only material that can become part of a Flow project.

Short clips from your phone can also provide a starting point for new generations.

That is useful when the original movement already contains something worth keeping.

A short clip from a workshop, product demonstration, trip, or everyday moment can be pushed into a different visual direction.

Google Flow for iOS lets you experiment without first moving that clip onto a desktop editing machine.

The mobile workflow is especially useful when the idea occurs while the source footage is still fresh in your mind.

Instead of making a note to edit it later, you can begin immediately.

This reduces the gap between capturing something and testing whether it could become useful content.

You can still move the project to a computer afterwards when you want more room to work.

Starting on mobile does not mean the entire project has to stay on mobile.

The phone becomes the place where you catch the idea before momentum disappears.

That can matter more than having every advanced editing control available at the first step.

## Cross-Device Google Flow for iOS Projects Keep Moving

One of the strongest parts of the update is that your projects are not trapped on the device where they began.

You might start an idea while walking, travelling, or waiting somewhere away from your desk.

Later, you can open Flow from your computer and continue working on the same project.

Google Flow for iOS therefore becomes a capture point as much as a complete production environment.

The phone is perfect for grabbing the first idea because it is usually already with you.

The computer remains useful when you want a larger interface and more time to refine the result.

This cross-device workflow removes the need to recreate a project later from memory.

You also avoid sending notes to yourself and trying to remember what you meant several hours later.

The first generation can happen while the idea is still clear.

When you return to the project, the creative direction is already visible rather than existing only as a sentence in your notes.

For extra help turning new AI features into repeatable workflows, the AI Profit Boardroom provides practical guidance and direct support. (https://www.skool.com/ai-profit-lab-7462/about)

That kind of continuity can make mobile AI much more useful than a smaller copy of a desktop app.

## Google Flow for iOS Can Keep Characters Consistent

Consistent characters are important when several videos are supposed to feel connected.

Without consistency, every generation can look like it belongs to a completely different project.

Flow can maintain a recurring character across multiple scenes when you build the workflow carefully.

Google Flow for iOS makes this useful for series content, recurring mascots, short narratives, and repeated campaign ideas.

A character can appear in one environment and then move into another without being completely reinvented each time.

That creates continuity across videos even when the locations or actions change.

The same idea can help when a campaign needs several clips around one recognizable person or visual identity.

Consistency still deserves review because generated details can drift.

The important improvement is having a workflow designed around maintaining the subject rather than starting from a random new person every time.

This makes Flow more useful for projects where one clip needs to connect visually with the next.

You can plan sequences instead of thinking only in isolated generations.

That moves mobile AI video closer to repeatable production rather than one-off experiments.

## Start And End Frames Give Google Flow for iOS More Control

Start and end frame control gives you another way to shape what happens inside an AI-generated sequence.

You choose the visual state where the clip begins and another visual state where it should finish.

Flow then creates motion that attempts to connect those two points.

Google Flow for iOS can use this for transformations that would be difficult to describe with one prompt alone.

You might begin with a person overwhelmed by a messy spreadsheet and end with the same scene looking organized and calm.

The frames establish the visual destination instead of forcing the model to invent both ends.

This gives you a clearer way to communicate a before-and-after idea.

Product transformations can use the same approach.

So can environmental changes, character movement, or campaign concepts built around progression.

The generated path between those frames still needs checking because complex movement can create inconsistencies.

However, defining both endpoints provides more direction than asking the model to guess the entire structure.

That makes start and end frame control one of the more useful features for storytelling from a phone.

## Draft Lower And Finish Higher With Google Flow for iOS

High-resolution rendering is useful when the project is ready to publish, but it can slow down experimentation when you are still testing ideas.

Flow lets you work with lower-resolution drafts before committing to the heavier final version.

That means several concepts can be tested without treating each experiment like a finished production.

Google Flow for iOS becomes faster to work with when you separate creative testing from final rendering.

Try different prompts, movements, and visual directions while the stakes are low.

Once one version clearly looks stronger, move that idea into the higher-quality output stage.

This avoids spending unnecessary time rendering concepts you already know you will discard.

It also makes comparison easier because you can test several variations within one creative session.

The same principle applies whether you are working on an advertisement, a short scene, or a personal project.

Draft quickly and judge the idea first.

Refine the strongest option after you know the creative direction works.

That workflow makes better use of both your time and the available generation limits.

## Product Photos Become Ads With Google Flow for iOS

Product content is one of the clearest mobile use cases because the original asset can be created with the same phone running Flow.

Take one clean image of the product and import it directly into the app.

Then describe the environment, movement, lighting, and feeling you want around it.

Google Flow for iOS can turn that static image into several possible promotional directions.

One version might use warm natural light while another feels darker and more premium.

A third could emphasize motion or place the product inside a more dramatic environment.

This reduces the need to organize a completely new shoot just to test several visual ideas.

It also makes early advertising concepts easier to create before you know which direction deserves more investment.

The best results still begin with a strong source image because AI cannot magically fix every weak composition.

Clear product details give the model something reliable to preserve.

You should also check that the generated version has not distorted important product features.

The advantage is being able to turn one ordinary phone photo into multiple creative starting points quickly.

## Existing Photos Give Google Flow for iOS More Ideas

Most people already have far more images on their phones than they will ever post or use again.

Flow changes the value of that archive because old media can become raw material instead of finished history.

Google Flow for iOS can use a forgotten image as the beginning of something completely new.

Travel pictures can become atmospheric scenes.

Behind-the-scenes photos can become short highlight clips.

Screenshots can help communicate the visual direction of a larger idea.

Old product photos can inspire new campaigns without repeating the original presentation.

The goal is not turning the entire camera roll into AI content.

Instead, the archive gives you options whenever you need a visual starting point.

That means you can search for a useful image before reaching for a blank prompt.

Starting from something real often makes the creative direction easier to communicate.

Your phone becomes a library of visual context that Flow can reinterpret instead of merely a storage place.

## Google Flow for iOS Works Best With A Repeatable Process

A reliable Flow workflow can begin with capture and finish with refinement instead of trying to create the perfect video in one attempt.

Take or choose an image that clearly contains the subject you want to keep.

Bring that media into Flow and create the first version around one clear visual idea.

Google Flow for iOS can then handle early experimentation while you are still away from your desk.

Review the result and decide what specifically needs improvement instead of generating random alternatives.

Adjust the prompt and test again until the direction feels worth keeping.

When the project needs additional work, continue it from your computer rather than starting over.

Use higher-resolution rendering only after the creative decision is made.

Save instructions that consistently produce good results so future projects begin faster.

Near the end of the process, the AI Profit Boardroom can help you apply AI workflows with coaching, tutorials, prompts, and ongoing support. (https://www.skool.com/ai-profit-lab-7462/about)

The strongest use of mobile Flow is not making every project entirely on a phone.

It is making sure a useful idea can start the moment you have it instead of waiting until later and disappearing.

## Frequently Asked Questions About Google Flow for iOS

1. Can Google Flow for iOS turn an existing photo into a video?
Yes, you can use a photo from your camera roll as the starting point and describe how you want the generated scene to develop.

1. Can I start a project on my iPhone and finish it on a computer?
Yes, Flow projects can continue across supported devices so you can begin on mobile and refine the project later elsewhere.

1. Does Flow only work with photos?
No, existing video clips can also become source material for new AI-generated sequences.

1. Can I keep the same character across several videos?
Flow includes character consistency tools designed to help recurring subjects remain recognizable between different scenes.

1. Should I render every test at the highest quality?
No, lower-resolution drafts are useful for testing ideas first, while higher-quality rendering makes more sense once you have chosen the version worth finishing.

# 

Police chase. Explosion. A cinematic 3D world built with GPT-6 Astra.

Made by @PixVerse. Available on PixVerse and in ChatGPT via the PixVerse Plugin.

Prompt ↓
Create an original GTA-inspired cartoon car chase using this workflow: Design: Define one main driver, one getaway car, one pursuing car, and one urban environment. Keep their designs consistent. Plan three 4-second shots: rear tracking pursuit, side tracking through a sharp turn, and a wide exit shot. Build in Blender: Create clean gray models and functional character and vehicle rigs. No textures or UV unwrapping are required. Animate and test: Animate the driver, steering, wheel rotation, vehicles, and cameras. Maintain coherent travel direction and vehicle order. Fix clipping, floating wheels, sliding tires, broken poses, and hands losing contact with the steering wheel. Render in Blender: Render frames 1–288 at 1280×720, 24 fps. Assemble actual Blender-rendered frames into a complete 12-second gray-model master. Export each shot separately and render matching gray stills as shape and composition references. Finish with PixVerse Plugin: Use Seedance 2.5 at 720p, processing each shot separately. Use the Blender clips as motion references and the gray stills as shape references. Define a consistent cartoon color palette in the generation prompt. Preserve camera movement, action timing, character and vehicle designs, and vehicle count. Review and deliver: Inspect both complete videos for visual defects and continuity. Repair Blender issues and regenerate only failed Seedance shots, with at most two retries per shot. Deliver the editable .blend, the native 720p Blender gray-model video, the separately labeled 720p Seedance version, and a brief assessment of remaining limitations.