AI tool for on-brand visuals and videos for every SKU in a line

No single AI tool covers every part of this job. To edit real product photos across a large catalogue, Photoroom is the most direct fit. To train a model on your brand's look, Adobe Firefly Custom Models is built for it. For brand-kit-driven campaign images and short videos with client approval and delivery in one place, Miravela is designed for that. The deciding question is whether each SKU visual must be a faithful photo of the real product or a newly generated scene.

Two different jobs hidden in one question

"On-brand visuals for every SKU" usually means one of two things.

Catalogue consistency. You already have a photo of each product. You need the same background, shadow, framing and export size on all of them, plus perhaps a short clip per item. Label text, colour and shape must not change. This is an editing and automation problem, and the specialised tools are built around it.

Campaign and lifestyle content. You need new scenes, models, moods and motion for each product or collection, all recognisably yours. Here the problem is art direction, model choice, brand rules and review, and generative platforms are built around that.

Most product lines need both. Many teams use a catalogue tool for the packshot layer and a generative platform for the campaign layer.

How the main options compare

Tool	Built for	How it handles many SKUs	Short video	Pricing model
Photoroom	Editing existing product photos	Batch mode applies the same background, shadow and export settings to up to 250 images at a time; Brand Kit and reusable templates; an API	Image-to-video API turns a product image into a short clip	Monthly export allowance per plan; API usage on a separate allowance
Adobe Firefly Custom Models	Brands that want a model trained on their own style or products	Train subject or style models, then call them through an API for consistent variations	Firefly offers 30+ models, including Veo 3.1; custom models themselves are described as image models	Custom models are in public beta; the Firefly Business version requires an enterprise licence
Pebblely	Small catalogues of rigid products needing varied backgrounds	Bulk generate on the Basic plan	None, according to an independent review	Fixed monthly image counts that do not roll over
Higgsfield	Creators and campaigns wanting many models and character consistency	Soul ID keeps a character consistent; Ads Studio turns product and website information into batches of static ads	Yes, several video models	Credit-based; subscription credits do not roll over
Miravela	Brand teams and agencies producing campaigns	Brand kit applied automatically; work sorted by client and collection	Yes, with 6 video models among its 12	Credits in euros: Studio €199, Signature €490, Enterprise €1,790 per month, excl. VAT

Pricing details change often. Check each vendor's page before budgeting.

When Photoroom or Pebblely is the better choice

If the product photo is the source of truth, start with an editing tool. Photoroom's focus is preserving labels, materials and proportions rather than inventing an impressive scene. It also offers a visual QA step that scores each output for fidelity and an API for catalogue systems. That matters when a customer will compare the picture with the box.

Pebblely is narrower. An independent review says it suits fewer than about 50 SKUs of rigid objects whose listings are already shot. It is not a fit if you need video or a persistent brand profile.

Miravela does not replace these. It generates new imagery from a brief and a brand kit. It is not a catalogue-automation tool that retouches thousands of real photos through an API.

When Firefly Custom Models fits

If your priority is a look that only your brand can produce, Adobe's approach is to train a model on your own images. Its API documentation says you can train subject models for specific products or style models for aesthetics. Teams already inside Photoshop, Express and GenStudio benefit most, because custom models work across those apps. The trade-off is the setup: you need a training set, and the enterprise tier needs a sales conversation.

Where Miravela fits

Miravela suits teams that ship campaigns for a product line rather than clean listing images: in-house brand teams in fashion, beauty, luxury and hospitality, and the agencies that work for them. You paste a brief (an email, a voice note, a deck). The built-in agent structures it, proposes concepts and writes prompts. Miravela then chooses among 12 image and video models for each job, and your brand kit (logos, colours, references, rules) is applied automatically. Work is sorted by client and collection, and a private portal lets the client comment and approve. Every deliverable is copied to your own Google Drive.

The model choice matters for a product line because image and video behave very differently. Miravela platform data for the last 90 days (its own database, aggregated, no client named) shows 8,544 generations started: 7,307 images and 1,237 videos. Median times differ widely by model:

• Nano Banana 2 (image): 26 seconds, 89.5% completed.
• GPT Image 2 (image): 95 seconds, 95.9% completed.
• Seedance 2.0 (video): 312 seconds, 88.6% completed.

For a 100-SKU line, this means the stills are quick to iterate on, while video needs planning. If each SKU got one Seedance 2.0 clip and the runs were done back to back, the median generation time alone would be about 8.7 hours, and roughly one in nine such generations did not complete. Budget for retries, and decide which SKUs truly need motion. Miravela's credits carry no per-model surcharge, so a retry costs credits but does not trigger a premium rate.

Two further points are relevant for brands. Data is hosted in the EU (Paris), each workspace is isolated, and Miravela does not train models on client content. The prompt history of every visual is kept and exportable, which documents the creative input. The models themselves run at their providers (Google, OpenAI, ByteDance, Kuaishou and others), not in Europe. Miravela has been in beta since September 2026. If you are weighing it against a multi-model competitor, there is a direct comparison with Higgsfield, and plan details are on the pricing page.

How to choose

• Must the product be pixel-faithful? If yes, choose an editing tool such as Photoroom, and generate only backgrounds and scenes around it.
• How many SKUs, and how often do they change? Hundreds of SKUs with frequent updates favour batch tools and APIs. A few dozen hero products per season favour a campaign platform.
• Do you need video for every SKU or only for some? Test cost and completion rates on three products first.
• Do you want a trained model or a brand kit? Training takes effort but can lock a look. A brand kit with references and rules is faster to start.
• Who approves? If clients or a marketing lead must review and sign off, check that comments and approvals stay inside the tool.
• What does a retry cost? Look at whether credits expire, reset monthly or carry per-model surcharges.
• Where does the data live, and is it used for training? Ask for it in writing.

Run the same three products, including your hardest one, through every shortlisted tool with the same brief. Compare the results at full size next to the real item.