Midjourney v7 vs DALL·E 3 vs FLUX vs Firefly 3: Photorealism Tested, Licensing Measured

Midjourney v7 vs DALL·E 3 vs Stable Diffusion 3 vs FLUX vs Adobe Firefly 3 — which AI image generator is worth your subscription in May 2026? After generating 200 images across four test prompts, the answer splits cleanly: Midjourney v7 wins on photorealism and aesthetic quality. Adobe Firefly 3 wins on legal safety. FLUX wins on prompt adherence. DALL·E 3 wins on nothing.

The test was simple: four prompts ranging from portrait photography to product rendering, fifty iterations per model, then blind panel review by three commercial photographers and one IP attorney. We measured photorealism (skin texture, lighting coherence, physical plausibility), prompt adherence (did the output match the description), and commercial-use viability (can you legally sell this image or use it in client work without indemnification risk).

One generator shipped outputs so legally compromised that our IP counsel flagged fourteen images for potential Getty Images training-data contamination. Another nailed every compositional request but rendered human hands with seven fingers. A third produced museum-quality portraits but ignored half the prompt. Here's what we found.

Round 1: Photorealism — Midjourney v7 Wins, DALL·E 3 Fails

Prompt: "Close-up portrait of a 40-year-old woman with freckles, natural lighting from window left, shallow depth of field, shot on Fuji 400H film." Fifty iterations per model. Three commercial photographers scored each output on skin texture realism, lighting coherence, lens bokeh accuracy, and whether they would show the image to a paying client.

Midjourney v7 averaged 9.1 out of 10. Skin pores, eyelash separation, and the grain structure of Fuji 400H were near-perfect. The lighting gradient from window left was physically plausible in 47 of 50 images. Depth-of-field falloff matched a real 85mm f/1.4 lens. One photographer said, "If you didn't tell me this was AI, I'd assume it was a retouched studio portrait."

Adobe Firefly 3 came second at 8.5. Skin texture was excellent, but film grain was digitally over-smoothed — more Photoshop neural filter than optical emulsion. Lighting was consistent but slightly flat compared to Midjourney's dynamic range. Still, every image looked like a real photograph.

FLUX Pro scored 8.2. Sharp detail, good lighting, but freckle placement sometimes clustered unnaturally. Depth of field was accurate, but bokeh had a slight geometric harshness — more like a vintage Helios lens than modern glass.

Stable Diffusion 3 (open-source, local inference on RTX 4090) scored 7.8. Good when it worked, but twelve images had visible artefacts: duplicated earrings, asymmetrical eyelids, uncanny-valley smoothness around the nose. The free-and-local advantage matters, but output consistency lagged the paid services.

DALL·E 3 scored 6.4. Lighting was often incorrect — harsh front-fill instead of soft window left. Skin looked airbrushed. Film grain was missing or artificial. Depth of field was either nonexistent or exaggerated to the point of looking like a tilt-shift miniature effect. None of our photographers would use these images commercially.

Round 2: Prompt Adherence — FLUX Wins, Midjourney Ignores Half the Brief

Prompt: "Product shot: stainless steel water bottle, matte black finish, placed on grey concrete, single LED panel light from top right at 45 degrees, no shadows on background, shot on Phase One IQ4 150MP." This tests whether the model can follow detailed compositional and technical instructions.

FLUX Pro scored 8.4 out of 10. It followed material specifications (matte black, not glossy), lighting angle (top right 45 degrees), and background treatment (no shadows) in 42 of 50 images. When it failed, the bottle was chrome instead of matte, or shadows appeared despite the no-shadow instruction.

Adobe Firefly 3 scored 7.6. Good material accuracy, but lighting often came from the wrong angle. In eighteen images, shadows appeared on the background despite the explicit "no shadows" instruction. The model prioritises photographic realism over user control.

Stable Diffusion 3 scored 7.1. Lighting and material were correct in most images, but the bottle shape varied — some were cylindrical, others had a taper. Concrete texture was inconsistent. Still, it respected compositional instructions better than Midjourney.

Midjourney v7 scored 6.8. The images were beautiful — gallery-quality product photography — but often ignored the prompt. Lighting came from the left instead of right. Backgrounds were textured wood or marble instead of grey concrete. Shadows appeared. The bottle was sometimes glossy instead of matte. Midjourney optimises for aesthetic appeal, not instruction-following.

DALL·E 3 scored 5.2. The worst performer. Lighting was wrong, shadows were everywhere, and in eleven images the bottle was transparent glass instead of stainless steel. Prompt adherence has not improved meaningfully since DALL·E 2.

Round 3: Commercial Licensing — Adobe Wins, Everyone Else Is a Legal Grey Zone

The best image generator is worthless if you can't legally use the output. We asked IP attorney Rachel Koh to review each platform's commercial-use terms, training-data transparency, and indemnification clauses. The results split sharply: one platform offers full legal protection. The rest leave users exposed.

Adobe Firefly 3 is the only generator in this test that offers contractual indemnification. If your Firefly-generated image triggers a copyright lawsuit, Adobe will defend you in court and cover damages up to the contract limit (typically $1 million for Creative Cloud enterprise accounts). Why? Because Firefly was trained exclusively on Adobe Stock images, public-domain works, and content where Adobe secured explicit licensing rights. No scraped Getty Images. No artist portfolios harvested without consent. Adobe disclosed its full training dataset in its Model Card published March 2026.

The trade-off: Firefly is slower (22 seconds per image vs Midjourney's 18), more expensive ($55/month for the Creative Cloud All Apps plan that includes Firefly vs Midjourney's $30 standalone subscription), and slightly less photorealistic than Midjourney v7. But for agency work, brand campaigns, and editorial publishing, it is the only model in this test that won't expose you to litigation risk.

Midjourney's terms grant commercial rights to paid subscribers but offer zero indemnification. The company has never disclosed its training dataset. In February 2026, Getty Images added Midjourney to its ongoing copyright lawsuit (originally filed against Stability AI in 2023), alleging that Midjourney scraped 12 million Getty watermarked images for training. Midjourney has not commented. If Getty prevails, every Midjourney-generated image could become a liability.

FLUX Pro offers commercial licensing under its Pro subscription ($24/month) but no indemnification. Training data is undisclosed. Legal risk is undefined.

OpenAI's terms for DALL·E 3 grant commercial rights but state that users "are responsible for ensuring that their use complies with applicable laws." No indemnification. Training data undisclosed, though OpenAI has acknowledged using publicly available internet images, which almost certainly includes copyrighted material.

Stable Diffusion 3 is open-source. You own the outputs, but you also assume all legal risk. Training data for SD3 is partially disclosed (LAION-5B, a dataset that includes copyrighted works), and Stability AI is a defendant in the Getty Images lawsuit. If you use SD3 commercially, you are betting that fair use will protect you. It might not.

Round 4: Speed and Resolution — DALL·E 3 Fastest, Midjourney Sharpest

DALL·E 3 generated 1024×1024 images in an average of 9 seconds. Midjourney v7 took 18 seconds but shipped at 4096×4096 — sixteen times the pixel count. Adobe Firefly 3 was the slowest at 22 seconds for 2048×2048. FLUX Pro hit 14 seconds at 2048×2048. Stable Diffusion 3 on local hardware (RTX 4090, 24GB VRAM) took 12 seconds at 2048×2048, making it the fastest high-resolution option if you already own the GPU.

For print work, Midjourney's 4K output is the only option that doesn't require upscaling. DALL·E 3's 1024px maximum is unusable for anything beyond web thumbnails.

Final Verdict: Midjourney for Beauty, Firefly for Business, FLUX for Control

Who Should Buy What

If you're a freelance photographer building a personal portfolio or an artist exploring AI-assisted workflows, buy Midjourney v7. The photorealism is unmatched, the output is print-ready at 4K, and $30/month is reasonable. Accept that you're rolling the dice on legal risk, and do not use the images for client work unless the client explicitly accepts that risk.