alibaba/flashvsr
FlashVSR is a video super-resolution model that upscales videos to higher resolutions (720p / 1080p / 2K / 4K) with fast inference.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/flashvsrInput Schema
2 parameters · 2 required · 0 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
video | string | Required | Input video URL (HTTPS, publicly accessible). |
resolution | string | Required | Target output resolution. · Options: 720p, 1080p, 2k, 4k · Default: "1080p" 720p1080p2k4k |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alibaba/flashvsr",
"resolution": "1080p",
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
FlashVSR Video Super-Resolution
FlashVSR upscales videos to higher resolutions — 720p, 1080p, 2K, or 4K — using fast video super-resolution inference. Designed for enhancing existing video content with minimal latency and per-second pricing.
Highlights
Video super-resolution — Upscales low-resolution input videos to higher-quality output using AI-driven enhancement.
Four output tiers — Flexible upgrade paths: 720p, 1080p, 2K, and 4K to match your quality and budget requirements.
Fast inference — Optimized for speed, making it practical for batch upscaling workflows.
Per-second pricing — Pay only for the video duration you process, at rates that scale with output resolution.
Pricing
| Output Resolution | Price |
|---|---|
| → 720p | $0.016 / second |
| → 1080p | $0.024 / second |
| → 2K | $0.032 / second |
| → 4K | $0.053 / second |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| Enhancing archival or low-resolution footage | New video generation (use Wan 2.2 / Wan 2.7 Exp0622) |
| Upscaling user-generated content for publishing | Motion transfer animation (use Wan-Animate) |
| Preprocessing videos for broadcast or streaming | Real-time processing requirements |
| Restoring compressed or degraded video quality | Image upscaling (different model category) |
Technical Specs
| Spec | Value |
|---|---|
| Input | Video (URL) |
| Output | Upscaled MP4 video |
| Output resolution | 720p / 1080p / 2K / 4K |
| Resolution param values | 720p, 1080p, 2k, 4k |
| Execution | Async (submit → poll for result) |