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AI Image Generation

Image models and APIs compared, with prompts, pricing, and editing workflows.
110
Articles
Sep 23, 2026
Last updated
Concept illustration of a red hiking boot being inspected and reused on different backgrounds
AI Image Generation

How to Remove an Image Background with GPT Image 2.5

Use GPT Image 2.5 Flare or Sunburst to edit an existing photo into a transparent PNG. Follow the Python example from image upload to saved cutout, then check transparency and subject details before using the file.

8 min
FLUX.2 Pro and Flex illustrated as production and adjustable-detail workflows
AI Image Generation

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
AI Image Generation

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
AI Image Generation

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