AI image & design studio

What it is

A studio surface for generating and refining imagery — product shots, campaign visuals, backgrounds and variants — controlled by brand rules instead of luck.

Why businesses need it

Creative volume is now the bottleneck for commerce and social teams. Generic image tools produce assets a brand manager still has to throw away.

What MIWEBX delivers

• Internal image studios for marketing and merchandising teams
• Background replacement, cleanup and product-shot variants
• Style-locked generation from a curated reference set
• Batch asset production against a campaign brief
• Review, versioning and export into the asset library

Core features

• Brand-safe prompting and negative constraints baked into the surface
• Reference-driven style control rather than free-form guessing
• Aspect-ratio and channel presets so exports fit first time
• Provenance and approval recorded with each asset
• Rights and usage notes attached before download
• Queue and cost visibility per request

Technical capabilities

• Image models reached through one internal interface, so a provider change never touches the studio surface
• Prompts composed from brand rules, reference images and channel presets rather than raw user text
• Reference-set retrieval grounds each request in approved work from the same brand
• Generation queue with concurrency limits, retry on provider failure and per-request cost accounting
• Version lineage and provenance stored with every asset, back to the inputs that made it
• Automated pre-filter on ratio, artefacts and disallowed content before a human reviews it
• Drafts and approved assets held in S3-compatible storage with lifecycle rules for rejects

How we build it

• Audit what the creative team repeats and where a shoot is overkill
• Collect the approved references and write the brand constraints down
• Prototype generation against those references and review the first output set
• Add channel presets, pre-filters and rights notes before opening it up
• Wire export into the existing asset library with approval recorded
• Track usage, cost and rejection reasons to steer the reference set

Technology stack

• OpenAI APIs
• Replicate-class model APIs
• Python
• FastAPI
• React
• TypeScript
• FFmpeg

What you receive

• The studio application with model and credential configuration
• Style reference set and prompt presets your team authored
• Asset export pipeline into your DAM or drive structure
• Usage, cost and approval reporting
• Documentation for adding new channel presets

Business benefits

• Campaign imagery without waiting on a shoot for every variant
• Assets that match the brand on the first pass
• One place where approval and provenance are recorded
• Creative team time spent on direction, not repetition