AI app for marketing · no coding needed
Branded AI portrait production studio
Produce a consistent, brand-approved set of people images from one consented photo set.
Made for: Marketing teams and independent professionals who need consistent people photos without organising shoots
What it does for you
The problem
Professional people photos require repeated shoots, scheduling and licensing, and generic AI tools produce inconsistent faces and unclear usage rights.
What it gives you
Approved image set with usage records
What you give it
Uploaded reference photosshoot settingsstyle packsbrand rules
Build your own version of Deep Agency, Photo AI and more
One app with what these 3 AI tools do, yours to keep and change: Deep Agency, Photo AI, TheDream.ai.
Everything these tools do, in one app
- AI photo generation Creates high-quality images of people without a physical photo shoot.Found in Deep Agency, Photo AI, TheDream.ai
- Personalized model training Lets you train an AI model on your own uploaded photos so generated images look like you.Found in Deep Agency, Photo AI, TheDream.ai
- Upload reference photos You provide a set of selfies or photographs as the basis for the AI model.Found in Deep Agency, Photo AI, TheDream.ai
- Consistent character output Produces many photos that keep the same person's look and style across images.Found in Photo AI
- Photo replication Copies the aesthetics, lighting, and emotion of an existing photo to recreate a similar look.Found in Photo AI
- Custom shoot settings Lets you specify details like location, orientation, expression, age, number of images, and lighting for a shoot.Found in Photo AI
- Model selection Choose from a range of available AI models for your images.Found in Photo AI
- Hire AI models Use synthetic AI-generated models for a virtual photo shoot instead of a real person.Found in Deep Agency
- Style and pack library Pick from many preset styles and themed packs for the look of your images.Found in TheDream.ai
- Profile and social images Generates pictures suited for profile photos, Instagram posts, and LinkedIn.Found in TheDream.ai
- Business and branding use Photos can be used for personal branding, business cards, brochures, and websites.Found in Deep Agency
- Secure data storage Stores your data and photos on secure servers.Found in Deep Agency
- Automatic photo deletion Deletes uploaded photos after a set time to protect privacy.Found in TheDream.ai
- AI model removal Removes the trained AI model after a set period so your data is not kept.Found in TheDream.ai
- Secure payments Processes transactions through a secure payment provider.Found in Deep Agency, TheDream.ai
- Refund policy Offers a refund within a set number of days.Found in TheDream.ai
How it works, step by step
- Upload and validate reference photos
- Record consent and permitted uses for each person
- Train a personal model from the uploaded set
- Generate consistent images that keep the same person's look
- Replicate lighting, aesthetics and emotion from a supplied example
- Set location, orientation, expression, age, count and lighting per shoot
- Select from available generation models
- Use synthetic models for shoots without a real person
- Apply preset styles and themed packs
- Produce profile, social and campaign-ready crops
- Apply brand colours, backgrounds and formats
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Store assets and data on access-controlled servers
- Delete uploaded photos and trained models on a set schedule
- Export a versioned approved image set with usage records and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Branded AI portrait production studio with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Branded AI portrait production studio with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data192 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Produce a consistent, brand-approved set of people images from one consented photo set. For marketing teams and independent professionals who need consistent people photos without organising shoots, convert uploaded reference photos, shoot settings, style packs and brand rules into an approved image set with usage records. The benefit is a testable hypothesis, measured through approved images per production hour and corrections after brand review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect uploaded reference photos, shoot settings, style packs and brand rules, then follow this sequence: 1. Upload and validate reference photos. 2. Record consent and permitted uses for each person. 3. Train a personal model from the uploaded set. 4. Generate consistent images that keep the same person's look. 5. Replicate lighting, aesthetics and emotion from a supplied example. 6. Set location, orientation, expression, age, count and lighting per shoot. 7. Select from available generation models. 8. Use synthetic models for shoots without a real person. 9. Apply preset styles and themed packs. 10. Produce profile, social and campaign-ready crops. 11. Apply brand colours, backgrounds and formats. Resolve uncertain cases with qualified reviewers, approve the approved image set with usage records, and measure approved images per production hour and corrections after brand review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate images for the stated task modules. Use deterministic code for file validation, consent records, deletion schedules, schema checks and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One consented reference set per person and one approved brand profile; final likeness, usage and publication checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve likeness consent, source attribution, usage permissions and brand rules. Named owners approve substantive changes and publication scope. One consented reference set per person and one approved brand profile; final likeness, usage and publication checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One consented reference set per person and one approved brand profile; final likeness, usage and publication checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: upload and validate reference photos; record consent and permitted uses for each person. Support the remaining modules with operator review: train a personal model from the uploaded set; generate consistent images that keep the same person's look. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Client-owned photo libraries, brand asset storage, social scheduling tools and CMS destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Reference photo intake and consent, Shoot setup and generation, Review and delivery. Use a thumbnail gallery for shoots, a large central preview canvas, and a right-hand panel for settings, style packs and comments. Let users compare generated images side by side and against the reference set. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant image. Make the task-specific outcome approved image set with usage records visible beside its evidence, review state and value baseline.
