We Ran 6 AI Image Generators on the Same Prompt

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Updated · July 6, 2026

Everyone says Midjourney is the best. We wanted to know if that’s still true in mid-2026. So on June 24, we fed all six major AI image generators the exact same product photography prompt and collected four outputs from each. After comparing 24 images side by side, our conclusion: the gap between tools is narrower than most reviews suggest — and for commercial work specifically, Midjourney is no longer the obvious answer.

The setup: one prompt, six generators, no adjustments

The methodology was strict: same prompt, submitted exactly as written, with default settings on each platform. No negative prompts, no style references, no fine-tuning. We generated four images per tool to account for randomness, then evaluated each output across three criteria: text rendering accuracy, photorealism and material quality, and prompt adherence.

Before the main test, we ran the prompt through all six tools on June 10 to stress-test the methodology — MacBook Pro M3 Max, each tool logged into a paid tier, output set to each platform’s maximum available resolution. Leonardo AI’s Phoenix 1.0 returned a content moderation flag on our prompt three times before accepting it (the word “condensation” apparently trips something in their classifier). Canva Dream Lab also defaulted to 512×512 outputs despite our Pro account being active; we caught it during a spot check and re-ran that batch. Two hours gone before the real test started.

The exact prompt we used:

“Photorealistic product shot of a glass perfume bottle labeled ‘LUMIÈRE’ on black velvet, dramatic side lighting from the left, condensation droplets on the glass, shallow depth of field, 85mm lens, no background objects.”

We picked this prompt deliberately. It’s a real brief — the kind a product photographer or brand designer would actually submit. It contains text to render (notoriously hard for AI), material challenges (glass refraction, velvet texture, water physics), a lighting direction, and a negative constraint. A tool that handles all five reliably is genuinely useful in production.

The six tools: Midjourney v7, DALL-E 3 (via ChatGPT Plus at $20/month), Adobe Firefly Image 3, Leonardo AI (Phoenix 1.0 model), Ideogram 2.0, and Canva AI (Dream Lab, running on Imagen 3). Each was tested on a paid tier or with available credits — no free plan throttling.

Round 1: Can any of them actually render text?

Text rendering is the fastest single test of a model’s weaknesses. “LUMIÈRE” has an accented character, eight letters, and needs to look embossed on a curved glass surface. Three of the six tools passed. Three didn’t.

Leonardo’s text handling was the most disappointing result in the entire test. On three of four attempts, the label came back as invented characters — “LUMIÉAR”, “LVMIÉRÉ”, things that aren’t words. That’s a dealbreaker if you’re generating product imagery at scale and need label text to survive even a rough review.

Ideogram’s result stood out for a specific reason: the letterforms followed the curvature of the glass bottle rather than just floating on top of it. That’s a harder problem than spelling the word correctly, and none of the other tools matched it. Ideogram 2.0 launched in early 2025 with typographic integration as its flagship capability — it holds up under this test.

Round 2: Who actually made a product photo versus a render?

Text accuracy matters, but the larger question for commercial use is whether the output looks like a photograph or a digital asset. This is where Midjourney reasserted itself — and where Firefly surprised us.

Midjourney’s glass refraction was the most physically convincing of any tool. You could see light bending through the bottle in a way that looked optically correct. The velvet had directional nap. The condensation droplets looked wet rather than painted. On raw photorealism, Midjourney v7 is still ahead.

DALL-E 3’s outputs were clean and technically competent, but they had a flatness to them — the kind that makes a designer say “render” rather than “photo.” The depth of field was present but felt applied rather than optical. It doesn’t ruin the images. It just doesn’t feel premium.

Adobe Firefly surprised us on one specific detail: the brief called for “dramatic side lighting from the left,” and Firefly was the only tool — including Midjourney — that produced a hard shadow edge on the right side of the bottle matching that instruction precisely, on all four attempts. Midjourney softened the lighting into fill light on two of four outputs and shifted the source direction on one.

How well did each tool actually follow the brief?

“No background objects” turned out to be the most revealing constraint in the entire prompt. It’s a negative instruction — you’re telling the tool what NOT to add — and it exposed a real behavioral split between tools that follow prompts literally versus tools that try to make something aesthetically interesting.

Midjourney added props on three of four attempts. Flowers, fabric folds, a second bottle, a spray mister. They’re things that look good in editorial photography, but they weren’t requested. If you’re a brand manager submitting a brief for a clean product hero shot, this is a material problem. You can work around it with explicit negative prompts using the `–no` flag, but that’s additional prompt engineering that none of the other tools required.

DALL-E 3, Firefly, and Canva AI followed the constraint consistently across all four outputs. Leonardo AI struggled — it repeatedly added decorative background elements and appeared to interpret “product shot” as “styled editorial product shot with set design.”

The prompt adherence gap matters most at scale. A tool that requires extra constraint management per prompt is measurably slower to work with than one that does what it’s told.

What surprised us

Ideogram’s photorealism gap was larger than we expected. Going in, we anticipated it would lead on text and trail elsewhere. What we didn’t anticipate was how far behind it fell on material quality — the velvet was noticeably softer and less convincing than even mid-tier outputs from Firefly or Canva. If your use case is text-heavy image generation (logo mockups, poster typography, label design), Ideogram 2.0 is the right tool. If you want a photorealistic product photo that also has text in it, you’re better off using Firefly for the image and handling text placement in a separate pass.

Canva AI was the other surprise. We expected it to be the weakest entry — it’s the most consumer-facing product in this group, built to be accessible rather than powerful. The outputs were consistently cleaner and more commercially usable than DALL-E 3’s, with better material rendering and tighter prompt adherence. At around $15/month for a Canva Pro subscription that includes Dream Lab credits, it’s a legitimate production option for teams already working in Canva, not a novelty feature.

Here’s the take that no marketing page would publish: Midjourney’s reputation for being the best AI image generator is largely built on aesthetic preference in creative and editorial contexts. For commercial product photography — where you need to hit a brief, not just produce something beautiful — it’s one of the harder tools to work with. It resists precise instructions in ways that cost time. Adobe Firefly is now the better choice for production-grade commercial work, and we wouldn’t have said that a year ago.

The raw verdict

Adobe Firefly Image 3 is the best all-rounder for commercial product photography. It led on lighting accuracy, matched Midjourney on photorealism in most categories, rendered text correctly every time, and followed instructions more reliably than anything else we tested. The IP-safe training data matters too — Firefly is trained on licensed Adobe Stock content, which is a meaningful consideration if you’re publishing commercially. Roughly $9.99/month standalone, or included with Creative Cloud subscriptions.

Midjourney v7 is still the best tool if aesthetic quality is the only criterion and you can absorb the prompt deviation. For concept art, mood boards, and editorial contexts where you want the AI to have creative latitude, nothing else looks like Midjourney at its best. Plan on negative prompting if you need literal instruction-following. Starts at $10/month.

Ideogram 2.0 is the specialist: reach for it when the image needs accurate, legible text integrated into the design. It’s the only tool in this test where the letterforms followed the object’s geometry. Weak on photorealism, but for typographic image work it’s unmatched. Free tier is usable; paid plans around $7/month.

DALL-E 3 is the most instruction-obedient tool in this group, but the aesthetic ceiling is visibly lower than Firefly or Midjourney. Sufficient if you’re already on ChatGPT Plus and don’t need premium visual quality — not worth a separate subscription for image work.

Canva AI is more capable than most reviews acknowledge. For teams already in the Canva ecosystem, Dream Lab produces commercially usable product shots. Don’t dismiss it.

Leonardo AI (Phoenix 1.0) was the weakest performer in this specific test. That’s partly because this test favored literal instruction-following and text accuracy. For stylized portraiture and artistic outputs, it performs better. Just don’t use it when label text needs to be legible.

Frequently asked questions

Which AI image generator is best for product photography?

Adobe Firefly Image 3 performed best across our tests for commercial product photography — strong photorealism, accurate text rendering, and reliable prompt adherence. Midjourney v7 produces more visually striking results, but its tendency to add unrequested props and interpret briefs creatively makes it harder to rely on in a production workflow.

Can AI image generators reliably render text inside images?

Three of the six tools we tested rendered our text prompt correctly 100% of the time: DALL-E 3, Adobe Firefly, and Ideogram 2.0. Midjourney succeeded about half the time, and Leonardo AI was largely unreliable. If accurate text is critical to your output, use Ideogram or Firefly.

Is Midjourney still the best AI image generator in 2026?

For pure aesthetic quality in creative and editorial contexts, it’s still the leader. For commercial use cases requiring precise brief execution, it’s no longer the obvious answer — Adobe Firefly and Canva AI have closed the gap significantly in the past year on the metrics that matter in a production workflow.

We’ll re-run this test when the next major model updates ship — both Midjourney and Firefly have updates roadmapped for Q3 2026. The results could shift. What’s stayed consistent across every version of this test: no single tool wins everything, and the right answer depends entirely on what you’re actually building.

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