Bytedance Video Upscaler
/v1/runBytedance Video Upscaler upscales videos to 4K resolution with AI-powered enhancement. Supports multiple quality tiers (fast, standard, pro), frame rate interpolation to 60fps, and presets optimized for UGC, short series, AIGC, and old film restoration.
Request body
Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.
Model identifier. Set to bytedance/upscaler/video.
Default: bytedance/upscaler/video
The URL of the video to upscale.
The enhancement preset optimized for specific video scenarios. 'general' is a general-purpose template, 'ugc' targets user-generated short videos, 'short_series' is for short dramas, 'aigc' is for AI-generated content, and 'old_film' is for classic film restoration.
Allowed values: general, ugc, short_series, aigc, old_film
Default: general
The scaling ratio for the output video resolution. When set, overrides target_resolution and scales the input resolution by this factor (e.g., 2.0 doubles the resolution). Range: 1.1 to 10.0. Please note that this is valid only up to 4k resolution, and trying to scale beyond 4k will result in an error. (4k is defined as having atotal pixel count of 3840x2160).
Range: 1.1 to 10
The target resolution of the video to upscale.
Allowed values: 1080p, 2k, 4k
Default: 1080p
The target FPS of the video to upscale.
Allowed values: 30fps, 60fps
Default: 30fps
The enhancement quality tier. 'fast' provides essential upscaling with good speed, 'standard' uses adaptive algorithms for better visual texture, 'pro' uses large-model restoration for cinematic quality (longer processing time), and 10 times the cost of `standard` and `fast`.
Allowed values: fast, standard, pro
Default: standard
The enhancement intensity. 'high' applies mild enhancement while keeping visual texture close to the source video. 'medium' provides a balanced image quality enhancement.
Allowed values: high, medium
Default: high
Response Schema
The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.
Error message if the task failed. Empty on success.
Unique identifier for the generation task.
Model ID used for the prediction.
Array of generated content. Empty when status is not completed.
Status of the task: pending, running, completed, failed, or timeout.
Allowed values: pending, running, completed, failed, timeout
Model capabilities
Capabilities declared by the model registry.
Default: video-to-video
Execution mode declared by the model registry.
Default: async

