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Bytedance modelsimage generation api

bytedance/seedvr/upscale/image/seamless

Seedvr Upscale Image is Bytedance's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Input

PNG, JPEG, WebP, or GIF · 20 MiB maximum

The input image to be processed
The format of the output image. Allowed values: png, jpeg.
01
The noise scale to use for the generation process. Range: 0 to 1.
The target resolution to upscale to when `upscale_mode` is `target`. Allowed values: 720p, 1080p, 1440p, 2160p.
The mode to use for the upscale. If 'target', the upscale factor will be calculated based on the target resolution. If 'factor', the upscale factor will be used directly. Allowed values: target, factor.
110
Upscaling factor to be used. Will multiply the dimensions with this factor when `upscale_mode` is `factor`. Range: 1 to 10.
The random seed used for the generation process.
Idle

Example output — click Run to generate your own

API README

SeedVR2 Seamless Image Upscaler

bytedance/seedvr/upscale/image/seamless restores and enlarges a still image while suppressing seams, tiling boundaries, and texture discontinuities that become obvious at higher resolution. SeedVR2 combines detail reconstruction with identity and composition preservation, so faces, typography, edges, and repeated patterns remain connected instead of looking independently sharpened. This combination makes the model a practical choice when the creative outcome depends on those qualities rather than on a generic media conversion.

For production work, Its seamless mode is particularly useful for large canvases and texture-rich artwork, where ordinary upscalers can reveal patch borders or inconsistent grain. The result is most reliable when the source material and creative brief clearly describe the intended subject, progression, visual or sonic character, and the qualities that must remain unchanged.

Highlights

Seam-aware enlargement minimizes patch boundaries across broad, continuous surfaces.

Detail reconstruction recovers fine texture without simply increasing edge contrast.

Content preservation keeps the source composition and recognizable subjects stable.

Restoration handles compression softness and low-resolution degradation during the upscale.

Pricing

Billing unitPrice
Per request$0.0025

When to Use

✅ Good fit❌ Consider alternatives
The model's named workflow matches the source material and intended outputA different input modality or model route is required
A managed asynchronous result is suitable for the production pipelineA synchronous, interactive editor is essential
The documented controls cover the required duration, framing, or formatThe project needs controls outside this endpoint's schema
Creative iteration benefits from a repeatable request structureExact deterministic pixels, frames, geometry, or samples are mandatory
A finished downloadable media asset is the desired deliverableEditable source layers or a native project file are required

Prompt Guide

For image-conditioned generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.

{
  "image": "https://static.sandbase.ai/examples/bytedance/seedvr/upscale/image/seamless/input_image_0.png",
  "output_format": "png"
}

Technical Specs

SpecValue
Model IDbytedance/seedvr/upscale/image/seamless
Inputsimage, noise_scale, output_format, seed, target_resolution, upscale_factor, upscale_mode
Required inputsimage
Output fieldscontent_type, url
ExecutionAsync (submit, then poll for result)
Output Formatpng / jpeg

Related Models

Related Models

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