Video super-resolution workflow
AI Video Upscaler and Super-Resolution Workflow
Generate or edit a short clip at a practical preview resolution, inspect the frames that matter, then finish the approved shot for delivery. This page shows the workflow and original reference demos while the live workspace currently processes still image frames.
Try a representative frame → Read the Seedance 2.5 cost guide →
The current public workspace processes still image frames. These clips are original silent reference demos for the planned video provider workflow.
Original reference demos
See the transition before you commit to a workflow
AI image upscaling before and after demo
Original silent reference transition from a soft source frame to a sharper enhancement preview.
Game character style conversion reference
Original silent game-character reference showing a stable pose with a changed lighting and material direction.
A practical 3-step video enhancement workflow
- 01
Generate a preview
Use 480p or 720p to iterate on prompt, camera movement, references and timing before paying for a final finish.
- 02
Inspect key frames
Check faces, hands, typography, thin geometry, fast motion and temporal consistency at 100%.
- 03
Finish the approved shot
Run the selected video super-resolution pass for 1080p or 4K delivery, then keep the original beside the AI-enhanced result.
Frequently asked questions
Can I upload a video and receive a finished 4K file now?
The public workspace currently supports still-image enhancement. This page documents the video workflow and shows original reference demos; use the frame workflow to test a representative shot while the video provider adapter is being connected.
Why generate at 480p or 720p before video super-resolution?
Lower-resolution previews make prompt, camera and timing iterations cheaper. Once a shot is approved, a separate super-resolution pass can finish the frames for 1080p or 4K delivery, with flicker and invented-detail checks before publishing.
Does video super-resolution equal native 4K generation?
No. It can recover and reconstruct useful detail, but small text, hair, thin lines and fast motion can change between frames. Keep the source clip, compare key frames at 100% and label the result as AI-enhanced.
Continue with related workflows
20 game character cases · Image quality enhancer · AI tools compared