Black Forest Labs Flux 3 Video Upscale API Documentation

Black Forest Labs Flux 3 Video Upscale API Documentation

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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.

Features

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. The highest (4K) pricing tier applies to every request, regardless of output resolution or upscale_factor.

CreativityPrice per second
Creative - 1$0.79
Precise - 0$0.55

Billable duration is rounded up to the next whole second, with a minimum of 1 second and a maximum of 20 seconds. The default creativity value is 1 (creative).

For example, a 10-second video costs $7.90 in creative mode or $5.50 in precise mode.


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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-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 "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

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

# 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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
videostringYes-MP4 video to upscale. Maximum duration: 20 seconds. Maximum file size: 50 MB.
promptstringNo-Optional description used to guide creative detail enhancement. Leave empty for a neutral upscale.
upscale_factornumberNo21.5 ~ 3Output scaling factor. The source aspect ratio is preserved.
creativityintegerNo10 ~ 1Use 0 for a source-faithful upscale or 1 for creative detail enhancement.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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