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WaveSpeed Video Upscaler Pro

WaveSpeed Video Upscaler Pro enlarges existing footage, reconstructing fine textures and reducing compression artifacts with attention to consistent detail across moving frames.

Video Upscale

Based on verified input duration.

OfferingPrice (USD)
Target Resolution: 720p$0.02 / input second
Target Resolution: 1080p$0.04 / input second
Target Resolution: 2K$0.06 / input second
Target Resolution: 4K$0.08 / input second
  • Based on the video input; billing steps apply in this order:
  • Round input duration up to a whole second.
  • Bill at least 3 seconds.
  • Cap billed duration at 600 seconds.
  • Round the total charge up to the next $0.01.

WaveSpeed Video Upscaler Pro

WaveSpeed Video Upscaler Pro produces an enlarged version of supplied footage, combining detail reconstruction with compression cleanup. The input video provides the scene and movement, and the selected output size sets the enlargement target. Processing addresses fine textures and edge definition throughout the shot.

Frame-to-frame consistency is central to the treatment. The model works to reduce flicker and ghosting as details move, with motion-aware processing for fast action and camera pans. It also reduces visible compression blocks, ringing, and shimmering that can affect the enlarged image.

What it's good for

Product footage with textured materials is a practical application: fabric, hair, and other fine features give the reconstruction process useful detail to address. Outdoor scenes with foliage can benefit from the combination of texture handling and motion consistency.

Editors can also enlarge compressed assets for reuse in a larger presentation. For sequences with camera movement, the model addresses detail across playback as well as the clarity of individual frames.

Model ID

wavespeed-ai/video-upscaler-pro

Output Type

Video

Pricing

From $0.02 / input second

Provider

WaveSpeed

Hosting

Protoface

WaveSpeed Video Upscaler Pro

WaveSpeed Video Upscaler Pro produces an enlarged version of supplied footage, combining detail reconstruction with compression cleanup. The input video provides the scene and movement, and the selected output size sets the enlargement target. Processing addresses fine textures and edge definition throughout the shot.

Frame-to-frame consistency is central to the treatment. The model works to reduce flicker and ghosting as details move, with motion-aware processing for fast action and camera pans. It also reduces visible compression blocks, ringing, and shimmering that can affect the enlarged image.

What it's good for

Product footage with textured materials is a practical application: fabric, hair, and other fine features give the reconstruction process useful detail to address. Outdoor scenes with foliage can benefit from the combination of texture handling and motion consistency.

Editors can also enlarge compressed assets for reuse in a larger presentation. For sequences with camera movement, the model addresses detail across playback as well as the clarity of individual frames.