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AI Image Generation · Page 4 of 6

AI image generation guides: comparing image models and APIs, prompt techniques, per-image pricing and free options, editing workflows, and fixes for failed generations.
  • 121 articles
  • Updated Nov 8, 2026
FLUX.2 Pro and Flex illustrated as production and adjustable-detail workflows

FLUX.2 Flex vs Pro: Which Model Is Worth Using?

Start with FLUX.2 Pro for lower generation costs. Test Flex when text or fine details need more control. Compare current BFL pricing, editing costs, and the acceptance rate that would justify paying more.

8 min
Three-stage Gemini image quality check connecting the prompt brief, API resolution request, and saved pixel dimensions

Gemini High-Resolution Images: Prompts, 4K Settings, and Pixel Checks

Writing HD or 4K in a Gemini prompt does not set the output pixels. Use a specific creative brief for visual quality, set image_size and aspect_ratio on a supported API model for delivery size, then inspect the saved file before changing prompts, plans, or providers.

8 min
One ecommerce product reference moving through Nano Banana Pro and GPT Image 2 before identity, copy, localization, and cost acceptance

Nano Banana Pro vs GPT Image 2 for Ecommerce Product Images

Test GPT Image 2 first for flexible pixels, masks, and an OpenAI workflow; test Nano Banana Pro first for Google-native 1K/2K/4K and multi-reference composition. Test both when packaging, localized copy, or a campaign master is expensive to reject.

9 min
Decision board comparing GPT Image 2 and Seedream 4.5 by workflow, price contract, and accepted output

GPT Image 2 vs Seedream 4.5: Choose by Accepted Output

Start with GPT Image 2 for an OpenAI-native workflow, flexible size and quality controls, inpainting, and high-fidelity image inputs. Start with Seedream 4.5 for a flat per-output price and multi-image design workflows. Then decide with cost per accepted image—not one lucky sample.

9 min