A Business Owner’s Guide to AI Image and Video Generation

I am writing this because my partner Harry DeMott’s recent newsletter covered Higgsfield and I felt like we don’t cover one of the most exciting spaces within AI: Image and Video creation. There are only a few great image and video generators. We explain them, and the aggregators that sell access to all of them in one place.

Quick primer: the chatbot you use every day runs on a large language model, trained to predict text. Image and video tools run on a different kind of system, usually a diffusion model or video transformer, trained to predict pixels instead of words.

If you run a business and you’ve tried to get AI to make you a product photo or a 15-second ad, you’ve probably hit the same wall: there are dozens of apps, they all claim to do the same thing, and half of them are just a thin wrapper around the same five or six underlying models. There are only a handful of AI models actually worth knowing, and a small set of companies that package access to all of them so you don’t have to pick just one.

Image and video generators aren’t the chatbot you already use

That distinction between predicting text and predicting pixels matters more than it sounds like it would. A chatbot like ChatGPT, Claude, or Gemini can increasingly look at an image or watch a video you hand it, but the models doing the actual generating work differently: they learn to turn random noise into a coherent picture or clip, refining it step by step until it matches your text prompt.

That’s why you can’t just ask your chatbot to “make me a video” the way you’d ask it to draft an email. The company behind your chatbot either has no generation model at all, or it’s a separate model bolted on through a partnership or an acquisition. It’s also why video costs so much more than text: a five-second clip at 24 frames a second is 120 individual images that all have to stay visually consistent with each other, frame to frame. That’s a fundamentally harder, more compute-hungry problem than predicting the next word in a sentence, and the pricing on every platform in this piece reflects it.

The handful of models that actually matter

Strip away the marketing names and there are really only a few image and video models doing the heavy lifting behind almost every app you’ve tried.

For images: Flux, from Black Forest Labs, is the open-weight workhorse most aggregators build on, known for realism and fine control. Nano Banana and Nano Banana Pro, Google’s models, are fast and unusually good at following detailed instructions. Ideogram is the one to reach for when you need legible text inside an image, a logo, a sign, packaging copy. Recraft is built for brand-consistent vector and illustration work. Midjourney remains the most recognizable name to most business owners, but it runs its own closed app and isn’t one of the models these aggregators resell.

For video: Veo 3.1, Google’s model, leads on cinematic quality and native audio. Kling, from China’s Kuaishou, is the one creators reach for when motion quality matters most. Seedance, from ByteDance, is fast and has a social-video pedigree. Wan, from Alibaba, is the leading open-weight video option. Runway has been the professional and agency standard for years. MiniMax’s Hailuo is the budget-friendly pick. OpenAI’s Sora was a major player through most of 2026, but the company shut the product down entirely this year, app in the spring and the API in September, a real-world reminder that picking one model directly, instead of a platform that can swap models out, carries genuine risk.

The four companies selling access to all of them

This is where the aggregators come in. None of the four below trains a frontier model of its own worth mentioning in the same breath as the ones above. What they sell is the layer on top: one login, one subscription, one credit balance, and a menu of everything listed above in one place.

Magnific is the AI creative platform Freepik rebranded itself into in April 2026, combining a 250-million-asset stock library with its own Mystic upscaling model and a routing layer to Flux and others. It’s strongest at image enhancement, the kind of print-ready detail work a product photography team needs. It started as a standalone upscaler built in Murcia, Spain, went viral with 30,000 users in a day, and Freepik bought it in 2024, then put the acquired company’s name on everything it owns.

Krea was founded in 2022 and has raised $83 million, valued around $500 million as of its last round. It’s built for fast, real-time creative exploration across image and video, and it just shipped Krea Agents, a mode where you describe what you want in plain language and the platform plans and runs the whole pipeline across its 60-plus models itself, no manual model-picking required.

fal.ai sells infrastructure rather than a workspace. If you have developers, fal is how they plug AI image and video generation directly into your own product or app through one API, paying per output instead of a flat subscription. It’s raised roughly $587 million and was valued at $4.5 billion three months ago, reportedly now in talks to raise again near $8 billion.

Higgsfield is the video specialist, built for teams that need a high volume of branded, on-model content. It’s pivoting hard toward enterprise marketing clients, raised $400 million in August at a $5.4 billion valuation, and claims to power creative work for 390 of the Fortune 500.

What’s actually inside each one

Which one should you actually use

If you’re a small business owner or solo marketer doing product photography, ad creative, or social content yourself, start with Magnific or Krea. Magnific wins when the job is enhancement, taking a decent photo and making it print-quality. Krea wins when you want to move fast across both image and video without learning a new interface for each, and its new Agents mode means you increasingly don’t have to know which model you’re even using.

If you’re running an agency or an in-house marketing team that needs a high volume of branded video on a schedule, Higgsfield is built for exactly that, and its enterprise push means support and brand-consistency tooling the other three don’t prioritize.

If you have engineers and want AI generation built into your own product rather than used as a standalone tool, fal.ai is the one built for that job.

What people actually like, and what to watch for

The appeal across all four has nothing to do with any single model, it’s that you never have to bet on one. A Krea reviewer summed up the draw after testing the platform: “Today, we’re testing Krea, an AI creative platform built for generating and experimenting with images, videos, and different AI models,” pointing to its “30 plus motion paths, giving creators more control over how a scene moves, rather than simply hoping the AI chooses the right camera movement,” per UnicAILab on YouTube. Magnific’s fans are the most specific of the four: the creativity slider on its upscaler, which invents texture and detail that was never in the source image, is still the tool people compare everything else to, per PromptsRush.

The complaint is just as consistent: credits. Higgsfield users report credits vanishing at renewal and a 90-day expiry window that makes pricing look cheaper than it turns out to be, per aifunnelinsider’s review. fal.ai‘s developer audience runs into surprise bills, Reddit users have reported $10.66 for a two-minute video, well past what they expected going in. Magnific’s version showed up on r/generativeAI, where a post titled “Do not buy a Magnific subscription” got specific enough that Magnific’s own team responded asking for case details. Before you commit a monthly budget to any of these, run the math on a real week of work, not the number on the pricing page.

Our take

Day to day at CO/AI, we reach for Google’s Nano Banana first. It’s already sitting inside the Gemini app we have open anyway, it’s simple, and for quick image work that’s good enough, opening a separate aggregator isn’t worth the extra step. Once a job gets more advanced, real video, heavier editing, a model none of the big chat apps ship natively, that’s when we go to the aggregators covered here.

The broader lesson holds regardless of which tool you pick: the model matters less than you’d think, and the interface matters more. Pick the platform that fits how your team actually works, not whichever base model has the most buzz this month, because that model will be replaced by a better one in a few months regardless. Magnific, Krea, fal.ai, and Higgsfield are all betting real money on that idea, Higgsfield’s valuation quadrupled in eight months, fal.ai‘s nearly doubled in three, that being the layer a business owner actually touches is worth more than owning any one model underneath it.

By Anthony Batt — 20+ years building software and digital media products at scale. Podcasting co-host at Future-Proof Pod by CO/AI with Harry DeMott.