Category: Text-2-Image Models
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How to Benchmark AI Images: What Broke in Our Test
Figuring out how to benchmark AI images is harder than it looks. Here is why GPT Image 2 beat a real photo, and 3 flaws in our own evaluation test.
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![How We Upscaled with FLUX.2 [klein] — and Why It Still Lost](https://journal.everypixel.com/wp-content/uploads/2026/07/flux_upscale2.jpg)
How We Upscaled with FLUX.2 [klein] — and Why It Still Lost
A technical comment of our tiling pipeline, the decisions behind it, and where the gap with SeedVR2 actually comes from.
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What GPT Image 2.0 Delivers for Marketing Teams — and Where It Falls Short
Marketing teams have a volume problem. A single campaign across Instagram, LinkedIn, YouTube pre-rolls, email, and landing pages produces 30–50 distinct pieces of assets. Quarterly, that’s 120–200. Annually, it compounds into a production operation that most budgets can’t sustain. GPT Image 2.0 is the most technically capable image generation model available for that problem as…
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Your Image Is Almost Right
Summary Everypixel Workroom's new Mini Apps section offers two tools for images that are almost right: Camera Angle Editor changes the camera angle and Image Upscaler raises resolution by generating new detail. Everypixel Workroom’s AI Tools That Fix the Gap. We’re introducing our Mini Apps section — a growing set of focused tools built for…
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Grok Imagine
Summary Grok Imagine, built on xAI's Aurora, is strong for portraits, illustration and story-driven concept art, but weak on abstract technical backgrounds, precise prop control and editing, according to nine tests by the Everypixel team. Does xAI’s Image Model Deserve a Spot in Your Stack? When xAI released Grok Imagine, most people filed it under…
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FLUX.2 Klein OR FLUX.2 Pro?
Summary Use FLUX.2 Klein to find the direction quickly and FLUX.2 Pro to finish it. Klein is the fast, cheaper model for exploration, and Pro is the detailed model for final deliverables and text in images. What FLUX.2 is and why creators care Black Forest Labs’ FLUX.2 lineup is positioned as a rethink of how…
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Qwen Image 2.0: What Alibaba Actually Built
Summary Alibaba's Qwen Image 2.0, released in February 2026, delivers reliable text in images and native 2048×2048 output with only 7 billion parameters, but still struggles with prompt sensitivity, dense scenes and style range. In February 2026, Alibaba released Qwen Image 2.0 without much fanfare. Seven billion parameters, native 2048×2048 output, and a first-place ranking…
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Nano Banana 2 vs Pro: Gemini Image Models explained
Summary Nano Banana 2 (Gemini 3.1 Flash Image) is the fast everyday model for rapid iteration, while Nano Banana Pro remains the choice when you need maximum control and a consistent base for downstream work. Google’s newest image model, Nano Banana 2 (officially Gemini 3.1 Flash Image), has become the default choice in Gemini for…