Editing
AI Image Upscaler on Astorie
From draft to print-ready, on the canvas. Generate stills at the model default resolution, fan into the image-upscale tool only on the asset you ship, and chain the polished output into video, product placement, or print export — no separate tool, no re-upload, no transcode.
What this feature solves
AI image generation defaults to mid-range resolutions because that is the cost and latency sweet spot for iteration. The drafts are perfect for review, layout, and creative decisions, but the moment a brand asks for the chosen still in 4K for a billboard, in 8K for packaging, or at print DPI for a catalog page, the gap shows up. Regenerating at higher resolution is sometimes possible but expensive and slow; sending the draft to a separate upscaler is the more common path, and that path is full of hidden costs.
The hidden cost is the round-trip. Download the draft, upload it to an upscaler, wait for the queue, download the result, re-import to the canvas or the editor. Five steps, often with format and color-profile losses on each handoff. For a campaign with thirty placements, that round-trip lives in every single asset path. Multiply by the number of revisions a brand reviews and the production hours pile up — most of which is admin overhead, not creative work.
The deeper issue is upscale quality. Generic upscalers smooth or sharpen indiscriminately, and the result often looks plastic, especially on faces, fabric, and brand-controlled product detail. AI-aware upscalers preserve detail better, but only if the upscale lives in the same chain as the source generation so the tool sees the full context. Without that chain, the upscale is guesswork on a downloaded JPG.