Flashvsr
Playground
Try it on WavespeedAI!Are you frustrated by the blurry Sora 2 output? Does the low resolution make it impossible to focus on your creative work? Try our FlashVSR model! The FlashVSR video upscaler is a powerful tool designed to enhance the resolution and quality of videos with the highest quality and fastest speed. Whether you’re working with low-resolution videos that need a boost or aiming to improve the clarity of existing footage, this upscaler leverages advanced machine learning models to deliver high-quality, upscaled videos.
Features
FlashVSR
Upscale videos to 720p, 1080p, 2K, or 4K with a simple upload. This is the most advanced video upscaler in the world, delivering the highest output quality and exceptional frame-to-frame consistency. If you want a cheaper option, try our Standard Video Upscaler instead. No local setup required. Also, for Sora-2 wartermark removing, try Watermark Remover!
Why it looks great
- Temporal consistency: minimizes flicker and ghosting across frames for stable motion.
- Detail reconstruction: restores fine textures (hair, fabric, foliage) and sharp edges without over-sharpening.
- Artifact cleanup: reduces compression blocks, ringing, and shimmering in challenging shots.
- Motion-aware upscaling: preserves fast action and camera pans with fewer motion artifacts.
- Natural look: balances perceptual quality with crispness to avoid plastic or overprocessed outputs.
Limits and Performance
- Max clip length per job: up to 10 minutes
- Processing speed: approximately 10–30 seconds of wall time to process 1 second of video (varies by resolution and queue load)
Pricing
Per-second billing with a 5-second minimum. The table below lists prices per 5 seconds for easy comparison.
| Output Resolution | Cost per 5 seconds |
|---|---|
| 720p | $0.05 |
| 1080p | $0.75 |
| 2K | $0.10 |
| 4K | $0.125 |
Billing Rules
- Minimum charge: 5 seconds
- Per-second rate = (price per 5 seconds) ÷ 5
- Billed duration = video length in seconds (rounded up), with a 5-second minimum
- Total cost = billed duration × per-second rate (by output resolution)
Examples
- 3.2s @ 1080p → billed as 5s minimum → 5 × $0.015 = $0.75
- 12s @ 1080p → 12 × $0.015 = $0.18
- 23s @ 2K → per-second $0.02 → 23 × $0.02 = $0.46
- 2m01s (121s) @ 4K → per-second $0.025 → 121 × $0.05 = $3.025
How to Use
- Choose the target resolution and parameters.
- Upload your video (≤ 10 minutes).
- Submit the job and wait for processing.
- Preview and download the result.
Pro tips for best quality
- Upload the highest-quality source you have; avoid heavily compressed inputs when possible.
- Keep original frame rate; avoid unnecessary re-encoding before upload.
- Pick the lowest resolution that meets your delivery needs (1080p = speed/cost, 2K/4K = maximum detail).
- For long videos, process in segments to parallelize and then merge.
Notes
- Actual processing time may vary based on resolution, model choice, and current queue.
- For videos longer than 10 minutes, split into multiple segments, process separately, and merge afterward.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flashvsr" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"target_resolution": "1080p"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| video | string | Yes | - | The video to upscale. | |
| target_resolution | string | No | 1080p | 720p, 1080p, 2k, 4k | Target resolution to upscale to. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |