PROJECT

AI image generator for customized visual content

Custom software development, Text-to-image generation, Image-to-image editing, AI model integration, Image galleries, Responsive web application

  • Industry: Creative services
  • Finland Location: Finland
  • Delivery time: 16 weeks
  • Technologies: Python, JavaScript / TypeScript (Node.js)
4+ months

This client is a creative studio from Finland. Producing branded, fashion, and product imagery takes time when each visual needs separate preparation and editing. The AI image generator is a custom platform for prompts, uploaded images, and references. It returns customized variations for the studio team, with tools to edit, save, and organize results in one place.

Summary

Problem

The creative studio spends time preparing customized visuals from prompts, references, and structured options.

Solution

The solution became an AI image generation platform with model connections, parameter controls, and editing tools.

Result

The platform is made to reduce manual production work and the time needed to prepare usable visual content.

Client story

The client is a creative studio from Finland. It produces branded, fashion, and product imagery for creative and marketing work.

The studio spends time preparing customized visuals from prompts, uploaded images, and references. Generated results also need review, editing, and organization.

The request was simple: create an AI image generator that accepts visual inputs and produces realistic or stylized results. The team also needed control over styles, parameters, and backgrounds.

The solution was shaped as a modular platform with a generation workspace, an image gallery, generation history, and administration controls.

The client asked for

  1. Accept prompts, images, URLs, references, and structured generation settings.
  2. Generate realistic, stylized, composite, and edited images through AI models.
  3. Control styles, parameters, avatars, colors, poses, backgrounds, and dimensions.
  4. Provide responsive web, cross-platform, or embeddable application interfaces.

Why ready-made software did not fit

Ready-made AI image generators cover prompt-based creation and image editing, but their descriptions do not combine the studio's full input set and control requirements in one tailored product. Credit limits and separate tools also make a custom platform a better fit for the studio's own production rules.

Project overview

The solution was designed around a prompt and reference setup. The platform accepts text prompts, uploaded images, image URLs, and face, style, or pose references.

To handle different creative directions, the generation layer was connected to diffusion models and external AI APIs. It produces realistic, stylized, and composite images, with multiple variations from the same setup.

Special attention was paid to creative control. The platform provides style, parameter, and avatar settings where the selected generation workflow supports them.

It also includes color, template, and pose settings.

The generated image workspace shows a large preview and a variation grid. Editing tools cover styles, colors, and backgrounds, while image results remain available for download.

The solution was also organized around saved images, galleries, and generation history. An administration area manages model options, user access, and usage controls.

Key features delivered

  • Text prompt and reference image inputs
  • Image-to-image generation and editing
  • Multiple generated variations
  • Style and parameter controls
  • Avatar, pose, and face references
  • Color and background editing
  • Saved galleries and generation history
  • Image downloads and sharing
  • Model and usage administration

Can be added

+ Face-based image modification + One-click cutouts + Background removal + White backgrounds + Text labels + Image animation + Scientific illustrations + Synthesized images from two images

Who else can use this solution

These businesses have a similar task of turning prompts or visual references into customized content, and the same solution can be adapted to them.

A marketing team

Task It needs branded product and social-media imagery for customer-facing campaigns.
How the solution helps The solution accepts prompts and references, generates variations, and keeps approved images in galleries.
Creative agencies

A software team

Task It needs reusable AI image and media-generation features inside an existing application.
How the solution helps The solution exposes API or REST API interfaces and can be delivered as an embeddable web component.
Business services

An architectural visualization studio

Task It needs customized architectural visuals from prompts, images, and reference material.
How the solution helps The solution combines image inputs, model generation, style controls, and image editing in one workspace.
Creative studios

Technology stack

Python

Backend and AI services

Python supports the application backend and AI-related services.

JavaScript / TypeScript (Node.js)

Web and API services

JavaScript and TypeScript support the web application, integrations, and server-side services.

FastAPI

API endpoints

FastAPI supports API services for the platform.

OpenAI

AI API connection

OpenAI connects the platform with supported generation capabilities.

Replicate

Model API connection

Replicate connects the platform with external models.

Cloudinary

Image media management

Cloudinary handles project media.

OpenCV

Computer vision processing

OpenCV supports image-processing workflows.

TensorFlow

Machine learning models

TensorFlow supports model and image-generation workflows.

DALL-E

Image generation model

DALL-E supports generation of images from natural-language descriptions.

Image URLs

Reference image input

Image URLs provide source images for generation and editing.

Integrations

OpenAI

The platform connects generation features with OpenAI through an API.

Replicate

The platform connects to hosted AI models through the Replicate client.

Cloudinary

Cloudinary manages images and videos used by the platform.

REST API

REST endpoints connect generation features with other software and embeddable applications.

The result

Set up a generation from relevant inputs

The first workspace brings prompts, references, and generation settings together. The studio can prepare a request with uploaded images, an image URL, and a style.

This keeps the creative brief close to the inputs that shape the result.

How it works

  1. The prompt field contains text prompts for the image request.
  2. The image upload area and image URL field provide source images and references.
  3. The style selector and parameter controls hold style selections, references, and generation parameters.
Prompt and reference setup

Prompt and reference setup

Functions on this screen
Create a system for user prompts Adjust image generation parameters Generate Images from Text

Create and refine several visual directions

The generated image workspace presents variations in one view, with a large preview for the selected result. Editing controls cover style, color, and background changes before the image is downloaded.

How it works

  1. The generation service produces AI-generated image variations from the prepared inputs.
  2. The large image preview shows the selected generated or edited image.
  3. Style, color, and background controls process the selected image, and the download action provides a downloadable image.
  • Generate realistic AI images
  • Generate image variations
  • Edit generated images
Tip: The same workspace supports generation, comparison, and image editing.
Generated image workspace

Generated image workspace

Functions on this screen
Generate Realistic AI Images Generate Image Variations Edit generated images Style images Color Correction AI background removal

Keep useful results available for later work

The gallery and history screen gives the studio a place for saved images and previous generations. Public or private status, filters, sharing, and downloads help organize results for later use.

How it works

  1. The gallery grid shows saved images as saved-image cards.
  2. The history list shows generation history, while search or filter controls work with gallery filters.
  3. Public or private status is shown with the saved images, and share and download actions provide access to them.
  • Manage generation history
  • Organize public or private galleries
Gallery and generation history

Gallery and generation history

Functions on this screen
Manage generation history

Control models and usage in one administration area

The administration screen brings model options, user access, and quotas together. Credits, payments, and usage statistics are also available there.

The structure leaves room for model and usage settings to be tuned as the studio's own rules develop.

How it works

  1. The model selector shows available AI models.
  2. The user list contains user account data, while quota settings manage quotas.
  3. Credit or payment controls manage credits, and the usage dashboard shows usage statistics.
  • Manage available AI models
  • Set quotas and usage controls
Note: The administration area separates model and usage controls from the creative workspace.
Model and usage administration

Model and usage administration

Functions on this screen
AI Model Training Setup

What the solution gives

With this solution, the studio can:

  • Turn text prompts and image references into customized visuals
  • Compare several generated variations in one workspace
  • Edit styles, colors, and backgrounds without leaving the result screen
  • Save, filter, share, and download generated images
  • Reuse generation history for later creative work
  • Manage models, users, quotas, credits, and usage controls

Could ready-made systems do the job?

Before the design, the task was compared with ready-made products by their own descriptions.

What the client needs AI image generators 1min.AI, Midjourney, DALL·E AI design tools Recraft, Adobe Firefly Generative AI platforms ImagineArt, Magnific Custom solution
Accept prompts and image references
Generate customized image results
Control styles and parameters partly
Provide flexible application interfaces — — —
Fits the client's own rules: stages, roles, reports — — —
All steps in one place — — —
No manual steps between programs partly — partly

By the public descriptions of the products and their category.

Ready-made AI image generators cover prompts, references, customized results, and some editing controls. A ready-made product is enough when the task is limited to generating or editing images.

This client's task also required a tailored combination of inputs, controls, galleries, history, administration, and application access. The parts are not consistently gathered around the studio's own rules, so its own software was needed.

In the end

In the end, the result was a platform made to take manual production work out of the path from a creative brief to usable visual content.

FAQ

Thinking about building a similar system? Read the answers below to see how inputs, models, editing, storage, and integrations fit together.

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