Case Study · Artiflex
A web platform that lets designers and marketers generate, refine, and export brand-consistent imagery from text prompts using fine-tuned diffusion models.
Mid-market design teams wanted the speed of generative AI without losing brand consistency. The off-the-shelf tools all produced beautiful but off-brand outputs and required prompt-engineering knowledge that designers didn’t want to learn.
We built Artiflex on a fine-tuned Stable Diffusion pipeline so each tenant’s outputs look like they came from their own studio. Designers describe the asset in natural language, choose a brand preset, iterate visually with sliders, and export in production-ready sizes – no prompt knowledge required.
We started with stakeholder workshops to map business goals, user roles, and compliance constraints, then translated them into a sprint-by-sprint product roadmap with clear acceptance criteria.
Our team designed the data model, API contracts, and UI system together so the product looked and behaved consistently from day one. UX flows were prototyped in Figma and validated with end users before any code was written.
Engineers worked in two-week sprints with continuous deployment to a staging environment. Every feature shipped with automated tests, manual QA, and a security review before promotion to production.
We handled production deployment on cloud infrastructure, observability setup, and a hand-over training session. UnlockLive remains on retainer for monthly enhancements, monitoring, and on-call support.
A fine-tuned Stable Diffusion pipeline per tenant. Each customer’s outputs are biased toward their own brand assets so the results stay on-brand.
On dedicated AWS GPU instances with autoscaling so cost tracks usage and there’s no idle spend.
Yes. We trained only on customer-supplied or licensed imagery so the outputs are commercially clean.
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Talk to the same team that built Artiflex: AI-Powered Image Generation Platform. We’ll scope your project, give you a fixed-price proposal, and show you the closest analog from our portfolio.
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