AI app for creatives · no coding needed
Personal photo model training and generation studio
Reduce tool sprawl while keeping likeness and usage rights under the owner's control.
Made for: Creatives, freelancers and small studios producing personal-brand imagery
What it does for you
The problem
Personal image generation is spread across several rented tools, so training, generation, privacy and sharing sit in different accounts.
What it gives you
Owner-approved generated image sets linked to a trained personal model
What you give it
Licensed personal photographsstyle referencesusage constraints
Build your own version of DreamBooth, ImagineMe and more
One app with what these 7 AI tools do, yours to keep and change: DreamBooth, ImagineMe, Magic AI Avatars, AI Time Machine, Dreamlook.ai, Automatic 1111, TrainEngine.ai.
Everything these tools do, in one app
- Personalized model training Train a custom AI model on your own photos to generate images that look like you.Found in DreamBooth, ImagineMe, Magic AI Avatars and 4 more
- Photo upload Upload a set of personal photographs to use as training data.Found in DreamBooth, ImagineMe, Magic AI Avatars and 1 more
- Text-to-image generation Generate images from a text description after the model is trained.Found in ImagineMe, AI Time Machine
- Customizable output settings Adjust settings to control the style and appearance of generated images.Found in DreamBooth, Magic AI Avatars
- High-quality image output Produce high-quality images that retain the likeness of the original subject.Found in DreamBooth, Magic AI Avatars
- User-friendly interface Provides an easy-to-use interface that simplifies the training and generation process.Found in DreamBooth, Magic AI Avatars, TrainEngine.ai
- Flexible training options Adjust training parameters such as steps, batch sizes, and precision to fit your needs.Found in DreamBooth, TrainEngine.ai
- Stable Diffusion compatibility Works with the Stable Diffusion pipeline for image generation.Found in DreamBooth, TrainEngine.ai
- Hugging Face integration Integrates with Hugging Face to download model weights.Found in DreamBooth, Automatic 1111
- Prompt inspiration gallery Provides curated examples of effective prompts to spark creativity.Found in ImagineMe
- Fast image generation Generates images quickly, often within seconds after setup.Found in ImagineMe, Dreamlook.ai
- Avatar customization Customize aspects such as style, attire, and background for avatars.Found in Magic AI Avatars
- Privacy protection Processes images securely and deletes them after a set period.Found in Magic AI Avatars, Dreamlook.ai
- Historical themes Generate avatars that depict you in various historical eras.Found in AI Time Machine
- Easy sharing Share generated images directly on social media platforms.Found in AI Time Machine
- Scalable API Provides a robust API that can handle thousands of training runs per day.Found in Dreamlook.ai
- Google Colab integration Runs in a web-based Google Colab environment without dedicated hardware.Found in Automatic 1111
- Model persistence in Google Drive Stores trained models in your Google Drive for easy access.Found in Automatic 1111
- Unlimited AI asset generation Generate an endless supply of AI assets like images, audio, and text.Found in TrainEngine.ai
- Data analysis and visualization Provides tools to analyze and visualize model outcomes.Found in TrainEngine.ai
How it works, step by step
- Upload personal photographs as training data
- Train a custom model on the uploaded photos
- Generate images from a text description
- Adjust style and appearance settings
- Retain likeness in high-quality output
- Set training parameters such as steps, batch size and precision
- Run generation through a Stable Diffusion pipeline
- Download model weights from an authorized model host
- Show curated prompt examples
- Generate images within seconds after setup
- Customize attire, style and background
- Delete source photos after a set period
- Generate historical-era themes
- Share approved images to social platforms
- Expose a scalable training and generation API
- Run training in a hosted notebook environment
- Store trained models in owner-controlled storage
- Generate image, audio and text assets under one allowance
- Analyze and visualize model outcomes
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned owner-approved generated image set linked to a trained personal model with source references 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 Personal photo model training and generation 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 Personal photo model training and generation 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 links4 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 data193 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
Reduce tool sprawl while keeping likeness and usage rights under the owner's control. For creatives, freelancers and small studios producing personal-brand imagery, convert licensed personal photographs, style references and usage constraints into owner-approved generated image sets linked to a trained personal model. The benefit is a testable hypothesis, measured through accepted generated images per production hour and corrections after delivery; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed personal photographs, style references and usage constraints, then follow this sequence: 1. Upload personal photographs as training data. 2. Train a custom model on the uploaded photos. 3. Generate images from a text description. 4. Adjust style and appearance settings. 5. Retain likeness in high-quality output. Resolve uncertain cases with qualified reviewers, approve owner-approved generated image sets linked to a trained personal model, and measure accepted generated images per production hour and corrections after delivery against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed training recipe and licensed style set; final likeness and usage 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 deletion schedules. Subjects approve substantive changes and publication scope. One fixed training recipe and licensed style set; final likeness and usage 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 fixed training recipe and licensed style set; final likeness and usage checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: upload personal photographs as training data; train a custom model on the uploaded photos. Support the remaining modules with operator review: generate images from a text description; adjust style and appearance settings; retain likeness in high-quality output. 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
Owner-controlled photo libraries, authorized model hosts and permitted style references. Cloud asset storage, design-file import/export and social publishing 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: Photo intake and consent, Model training and settings, Generation and review, Client proof and delivery. Use a thumbnail gallery for projects, a large central generation canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome owner-approved generated image sets linked to a trained personal model visible beside its evidence, review state and value baseline.
