GPT Image 2.5 Transparent PNG: 3 No-Halo Tests
Blog post from Atlas Cloud
The guide explains how to create and evaluate transparent PNG cutouts with GPT Image 2.5 for uses such as product pages, campaign composites, and design files, emphasizing that apparent transparency on a white browser page is insufficient proof of a usable alpha channel. It recommends explicitly requesting a transparent background and PNG output, then testing results on a checkerboard, dark navy, and warm off-white backgrounds to detect fake transparency, light or dark edge halos, damaged fine details, and rectangular shadow artifacts. Using examples of a frosted serum bottle, embroidered patch, and trail-running shoe, it provides generation and constrained repair workflows designed to preserve glass, threads, mesh, laces, translucent materials, shadows, and safety padding around the subject. The guide distinguishes PNG, WebP, and JPEG capabilities, notes that transparent images remain flattened raster files rather than editable layers, and advises retaining authorized master photography for exact commercial SKUs because generated images may alter labels, colors, proportions, or regulated information. It also recommends checking current model pricing before batch work, using only authorized source material, and reviewing generated assets manually before release.
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