Service
On-brand marketing visuals without the agency retainer or the stock-photo sameness. Product shots, ad creative, social graphics, hero images — produced at campaign pace and built to actually look like your brand.
Midus builds brand-tuned image pipelines using Stable Diffusion XL, Flux, and Midjourney, anchored by LoRA fine-tunes and reference-based control so your outputs feel like your brand instead of generic AI renders. A human art director stays in the loop — reviewing, rejecting, and refining — so what ships is actually usable.
Who this is for
Your calendar wants four campaigns a month. Your design team can ship two. Briefs wait in queue, launches slide, and "good enough" gets shipped because there's no time for another round. The ideas aren't the constraint — production is.
New SKUs every week. Seasonal refreshes. Lifestyle shots for each variant. Platform-specific crops for Meta, TikTok, Amazon, your own PDP. A traditional photo shoot can't keep up with a catalog that changes this fast.
You need visuals that don't look like a template or a stock site, but you can't justify a full-time designer or a retainer agency. You want on-brand, polished output without building a creative department first.
What we build
Every brand gets a tuned setup. The components below are what we typically ship together; the mix depends on what formats you need and how tightly the outputs have to match existing photography.
LoRA fine-tunes on your existing photography, product library, and brand references so the model actually understands your palette, lighting, and style. Reference-based control (IP-Adapter, ControlNet) holds the look across every generation rather than drifting each prompt.
Clean pack shots on white, colored, or textured backgrounds. In-scene lifestyle renders that place your product in the contexts your customers actually live in. We also composite real product photos into generated environments when pure generation isn't accurate enough.
One concept, every size. Meta feed, Stories, Reels covers, TikTok, YouTube thumbs, Google display, paid social variants. We produce the creative matrix your paid team actually needs to test — dozens of variants per concept, not one hero asset.
Quote cards, announcement posts, carousel frames, Story backdrops. We set up templates your team can fill in weekly without a designer, plus one-off hero assets for launches and campaigns.
Homepage heroes, landing page banners, email top-of-fold, blog headers. The high-visibility surfaces that define how your brand reads at first glance — produced to match the rest of your site instead of fighting with it.
A human art director reviews every batch before it reaches you. Bad hands, garbled text, off-brand color, uncanny faces — rejected and re-run. What crosses your desk is already filtered for the known failure modes of AI imagery.
Outcomes
Example scenarios below reflect the range we typically see. Your numbers depend on catalog size, channel mix, and how much tuning your brand reference library supports.
Ad creative volume
A paid team that used to ship two concepts a week can test twenty. More variants means faster learning, better winners, lower CPA. The bottleneck moves from production back to strategy — which is where you wanted it.
Example scenario.
Product launch speed
A new SKU used to mean scheduling a shoot, editing, retouching, delivery. With a tuned pipeline, PDP and lifestyle imagery land the same day the product does — so launches don't wait on photography.
Example scenario.
Visual consistency
Instead of Instagram, email, and the site each looking like a different brand, a tuned model enforces the same palette, lighting, and mood everywhere — without a full-time designer policing every asset.
Example scenario.
How we work
We inventory your existing photography, brand guidelines, and reference imagery. We identify the style, palette, and compositional rules that define your look, and the failure modes we need to design the pipeline around.
We train LoRAs, set up reference-based control, build the prompt and negative-prompt library, and produce a first batch across your top formats. You review, we tune, we iterate until the outputs actually ship-able.
A rolling cadence of briefs in, batches out, with human review on every release. Monthly re-tuning as your brand evolves or new products enter the catalog. You get a predictable visual supply chain, not one-off favors.
FAQ
Two layers. First, a LoRA fine-tune trained on your existing photography and brand references — this bakes your palette, lighting, and style into the model weights. Second, reference-based control at generation time (IP-Adapter, ControlNet) that anchors each output to an approved visual so drift is constrained rather than hoped-against. And third, a human art director as the final gate. Pure prompt engineering alone is not enough for brand work.
Honest answer: current models still fail at these. Hands are better in Flux and SDXL with the right LoRAs but not perfect. Readable text inside images is unreliable — we overlay real typography instead of letting the model render words. Uncanny faces, six-fingered extras, melted backgrounds — these get caught at the review gate and re-run or fixed in post. We don't pretend the tech is further along than it is; we build the review workflow around where it actually is.
Usually, yes — the more reference material you have, the closer the match. With 50–200 clean reference images we can train a LoRA that reads as "same brand" to most viewers. For hero imagery where absolute fidelity matters, we often composite real product photos into AI-generated environments instead of generating the product itself. We're straight with you about what a match can and can't achieve before you commit.
It's an evolving area and we won't pretend it's settled. Generally: images generated by these tools are usable commercially under the models' terms of service, and the US Copyright Office has held that purely AI-generated images aren't copyrightable on their own — meaning you can use them but can't stop others from using identical outputs. For assets that need real IP protection (logos, signature campaign imagery), we combine AI generation with human creative work so the final composition has copyrightable human authorship. We walk through the specifics during scoping.
Specific products: yes, with a LoRA or reference-based setup, or by compositing real product photography into generated scenes. Specific people (your founders, your team, a named model) require their own trained LoRA and explicit written consent from the person — we won't generate images of real people without it. We also don't generate likenesses of celebrities, public figures, or anyone you can't produce consent for.
Per-asset pricing is the wrong frame — most of the cost is in the tuning, not the generation. Once the pipeline is set up, the marginal cost of additional assets is low. Typical engagements are a fixed setup fee for brand tuning plus a monthly retainer sized to your volume. For reference, mid-market brands usually land in the $3,000–$10,000/month range for ongoing production depending on output volume and review depth. We quote specifics in scoping.
Related services
Tell us your brand, your channels, and your current bottleneck. We'll come back with a realistic plan for tuning, first batches, and ongoing cadence — typically within two business days.