Definition — 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 target resolution natively. On InfluencerForge.app, resolution is priced per image — 12 credits at 720p up to 20 at 4K — so generating at 4K directly costs a few credits more but composes the detail correctly from the start. A sensible workflow: iterate cheaply at lower resolution, then re-render the winners at the resolution the placement needs.
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 (up to 20 at 4K), a UGC product image 15, an image-to-video clip 300–600, and training a new model is a one-time 720 credits.
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