Increasing an image's pixel resolution, typically with an AI model that synthesizes plausible fine detail. Distinct from rendering at a high resolution natively.
AI upscaling enlarges an image while inventing the fine detail the smaller version never contained — sharper skin texture, cleaner edges, crisper fabric. 'Inventing' is the honest word: an upscaler produces plausible detail, not recovered truth, which is usually fine for aesthetic content and occasionally wrong in ways that matter (fine text, logos, intricate patterns).
The alternative is rendering at the highest native resolution the product currently offers. On InfluencerForge.app, photoshoot images cost 12 credits at 720p or 14 credits at 1080p (HD). A sensible workflow is to iterate at 720p, re-render the winners at 1080p, and use a separate upscaling step only when a delivery format needs more pixels.
Related terms
The width-to-height proportion of an image or video, such as 9:16 (vertical), 1:1 (square) or 16:9 (landscape). In social publishing, the placement dictates the ratio.
Generating a new image using an existing image as input alongside a text prompt. The input image anchors composition, pose or subject while the prompt steers what changes.
The usage unit spent on generations. On InfluencerForge.app a 720p image costs 12 credits, a 1080p HD image 14, a UGC product image 56, an image-to-video clip 210–420, and training a new model is a one-time 720 credits.