Seedance 2.5 Now Live | Try in Video Generator →

black-forest-labs/

FLUX Video Upscale enhances MP4 videos with source-faithful or creative detail reconstruction, configurable 1.5x to 3x scaling, and improved visual clarity for video restoration, social content, ads, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

upscaler
Input

Idle

$1.4per run

ExamplesView all

Related Models

README

FLUX 3 Video Upscale

FLUX 3 Video Upscale enhances an input video with AI-powered upscaling. Upload a source video, optionally describe the desired enhancement direction with a prompt, choose an upscale factor, and adjust creativity to control how much visual detail the model reconstructs during the upscale process.

Why Choose This?

  • AI video upscaling
    Improve video resolution and perceived detail from an existing source clip.

  • Prompt-guided enhancement
    Use an optional prompt to guide the visual direction, such as sharper details, cleaner textures, or more cinematic refinement.

  • Adjustable upscale factor
    Control how strongly the output should be upscaled with the upscale_factor parameter.

  • Creativity control
    Use creativity to control the enhancement strength and reconstruction behavior.

  • Short video enhancement workflow
    Designed for upgrading short video clips while preserving the original motion and scene structure.

  • Simple input pipeline
    Provide a video, set the upscale parameters, and generate an enhanced output.

Parameters

ParameterRequiredDescription
videoYesInput video to upscale.
promptNoOptional text prompt describing the desired enhancement direction, detail style, or visual refinement.
upscale_factorNoUpscale factor for the output video. Higher values increase the target upscale amount.
creativityNoControls how creatively the model reconstructs or enhances visual details. A value of 1 uses the higher creativity pricing tier.

How to Use

  1. Upload the input video — Provide the source video you want to upscale.
  2. Add a prompt optional — Describe the desired enhancement style, such as sharper detail, cleaner lighting, reduced softness, or cinematic refinement.
  3. Set upscale factor — Choose how strongly the video should be upscaled.
  4. Adjust creativity — Use creativity to control the amount of visual reconstruction.
  5. Submit — Generate the upscaled video and retrieve the output.

Pricing

Pricing is based on input video duration and the selected creativity value.

CreativityPrice per second
creative - 1$1.40
precise - 0$1.00

Best Use Cases

  • Video enhancement — Improve short video clips with AI upscaling.
  • Creative restoration — Add sharper detail and cleaner visual structure to soft or lower-resolution footage.
  • Marketing assets — Upgrade short product, campaign, or social media clips.
  • Preview-to-final workflows — Improve draft videos before publishing or presenting.
  • Cinematic refinement — Enhance lighting, texture, and perceived detail while preserving the source motion.
  • Social video optimization — Upscale short clips for higher-quality platform delivery.

Pro Tips

  • Use clean source videos with stable motion for better upscaling results.
  • Add a prompt when you want a specific enhancement direction, such as sharper product details, cleaner faces, or more cinematic lighting.
  • Keep prompts focused on enhancement rather than changing the scene content.
  • Use creativity carefully when the original video needs stronger detail reconstruction.
  • Short clips are easier to review and iterate before processing longer videos.
  • Make sure the source video already has the motion and composition you want, since this endpoint is designed for upscaling rather than video editing.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Flux 3 Video Upscale API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/black-forest-labs/flux-3/video-upscale with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Flux 3 Video Upscale below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "upscale_factor": 2,
    "creativity": 1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/black-forest-labs/flux-3/video-upscale" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/black-forest-labs/flux-3/video-upscale";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "upscale_factor": 2,
        "creativity": 1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "upscale_factor": 2,
    "creativity": 1
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/black-forest-labs/flux-3/video-upscale", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Flux 3 Video Upscale API — Frequently asked questions

What is the Flux 3 Video Upscale API?

Flux 3 Video Upscale is a Black Forest Labs model for upscaling, exposed as a REST API on WaveSpeedAI. FLUX Video Upscale enhances MP4 videos with source-faithful or creative detail reconstruction, configurable 1.5x to 3x scaling, and improved visual clarity for video restoration, social content, ads, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Flux 3 Video Upscale API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/black-forest-labs/black-forest-labs-flux-3-video-upscale.

How much does Flux 3 Video Upscale cost per run?

Flux 3 Video Upscale starts at $1.40 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flux 3 Video Upscale accept?

Key inputs: `prompt`, `video`, `creativity`, `upscale_factor`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/black-forest-labs/black-forest-labs-flux-3-video-upscale.

How long does Flux 3 Video Upscale take to generate?

Median end-to-end generation time on WaveSpeedAI is around 454 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Flux 3 Video Upscale outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Black Forest Labs). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

FLUX 3 Video Upscale API on WaveSpeedAI