Imagoir AI Image Blog
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Repeatable Results: References, Seeds and the Settings That Matter
How to get the same look twice. Reference images, seeds, guidance and inference steps explained by what they change, plus a workflow for consistent sets.
Cleaning Up Images: Backgrounds, Objects and What Not to Regenerate
When to use a cleanup tool instead of a new render. Removing backgrounds, deleting objects, swapping backdrop colours, and the mistakes that cost credits.
Aspect Ratio and Resolution: Get the Frame Right Before You Spend
Aspect ratio decides what the picture is. Resolution decides what it costs. A practical guide to both, with the ratios each model actually supports.
Text to Image or Image to Image: Where to Start a Job
Starting from a prompt or from a picture changes cost, control and how many attempts you need. A practical rule for choosing, with the cases people get wrong.
Nano Banana Pro vs GPT Image 2.5: Which to Use for Product Work
Nano Banana Pro and GPT Image 2.5 solve different halves of a product shoot. Framing, reference images, credits and when each one is the wrong choice.
What One AI Image Costs: A Credit-by-Credit Breakdown
What a credit buys across 18 AI image models: the cheap drafts, the expensive finals, and when paying eight times more is actually worth it.