Analysis of the gpt-image-2 image layering principle and the 6 key steps for API integration

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Author's Note: This article provides a systematic explanation of the real principles behind gpt-image-2 image layering, the phenomena observed in Python backend processing, API invocation methods, and cost optimization strategies. It aims to help developers avoid the common mistake of confusing toolchain capabilities with native model capabilities. If you've been using gpt-image-2 recently for posters, … Read more

Which model is best for image upscaling? A guide to 6 mainstream AI upscaling models for 8K resolution and above

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"I have an old 1024×1024 photo, can I upscale it to 8K or even 16K for printing?" This is the most common question users and designers were asking AI tools in 2026. There’s an ever-growing list of tools marketed as "image upscalers": some are true super-resolution models (Real-ESRGAN, Topaz Gigapixel, SUPIR, Magnific), others are native … Read more

Polishing Scientific Research Charts with Nano Banana Pro: A Guide to Automatically Applying Aesthetic Standards from 292 NeurIPS Papers

Author's Note: A detailed look at how PaperBanana automatically extracts aesthetic norms from 292 NeurIPS 2025 papers to polish hand-drawn sketches and rough charts into publication-grade academic illustrations, covering four major optimization dimensions: layout, color scheme, typography, and iconography. Are your research figures suffering from these issues: crowded layouts, jarring colors, inconsistent fonts, or a … Read more