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Automating infographic extraction for 100k+ product images: how to avoid distortions with GPT Image 1.5 and what alternatives exist?
Hi everyone! I have a task to build a workflow for mass processing of product images (scale — hundreds of thousands of photos).The goal is to automatically cut out individual infographic elements (icons, the main product, zoom-in areas) and bring them to “premium” quality (studio lighting, high sharpness). Problem with GPT Image 1.5 When trying to directly cut out an object using GPT Image 1.5, the model starts to hallucinate. It redraws small details: Faces on icons change LED diode grids get distorted Fabric textures are altered As a result, the output image is no longer the same product as in the original photo. Either the model changes the appearance of the product, or the visual details become inaccurate. Are there any ways to implement this differently, or alternative approaches/models that can solve this task without such distortions?
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You guys are the ai wizards of Skool. I am trying out ai image generators and don't want to use too much time on trying them all out. I need speed and precision. For a newbie to ai, using it for their Skool community, which model would you suggest?
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