Black Forest Labs Flux 3 Text To Video

Black Forest Labs Flux 3 Text To Video

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FLUX 3 Text-to-Video generates cinematic 5-20 second videos from text prompts, with coherent motion, cinematic composition, optional synchronized audio, and 720P / 1080P output for creative videos, social content, ads, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX 3 Text-to-Video turns a written prompt into a short video with coherent motion, cinematic composition, and optional synchronized audio. Describe the subject, action, environment, camera movement, pacing, and sound to create a ready-to-use clip without an input image.

Key Capabilities

  • Generate 5-20 second videos directly from text prompts.
  • Control subject behavior, scene details, camera movement, lighting, pacing, and visual style.
  • Generate optional synchronized audio for ambience, sound effects, and other scene-aware sounds.
  • Choose 720p or 1080p output for previews, social content, advertisements, and production drafts.
  • Use landscape, portrait, square, or cinematic aspect ratios for different publishing formats.

Parameters

ParameterRequiredDescription
promptYesDescribe the subject, action, environment, camera movement, timing, mood, lighting, and visual style of the video.
aspect_ratioNoOutput aspect ratio. Options: 21:9, 2:1, 16:9, 4:3, 1:1, 3:4, or 9:16. Default: 9:16.
resolutionNoOutput resolution. Options: 720p or 1080p. Default: 720p.
durationNoVideo duration in seconds. Choose an integer from 5 to 20. Default: 5.
generate_audioNoGenerate synchronized audio for the video. Default: true.

How to Use

  1. Write a complete prompt describing what happens, who or what appears, where the scene takes place, and how the camera should move.
  2. Choose an aspect ratio that matches the destination, such as 9:16 for vertical short-form video or 16:9 for landscape content.
  3. Select the output resolution and set a duration from 5 to 20 seconds.
  4. Keep generate_audio enabled when the scene benefits from ambient sound, sound effects, music, or dialogue.
  5. Submit the request and download the generated video after processing is complete.

Prompting Tips

  • Start with the main subject and the most important action, then add the environment, lighting, mood, and camera direction.
  • Use explicit motion verbs such as walk, turn, lift, pour, run, orbit, track, zoom, or tilt.
  • Describe timing when the action has multiple beats, such as a subject pausing, looking toward the camera, and then moving into the foreground.
  • Mention sounds that should match the scene, including footsteps, rain, traffic, room tone, music, or dialogue.

Pricing

Pricing is calculated by billed video duration and output resolution.

ResolutionPrice
720p$0.17/s
1080p$0.29/s

Billing Rules

  • The billed duration is rounded up to the next whole second.
  • The minimum billed duration is 5 seconds.
  • The maximum billed duration is 20 seconds.
  • Audio generation does not add a separate charge in the current pricing formula.
  • Example: a 10-second 720p video costs $1.70.
  • Example: a 10-second 1080p video costs $2.90.

Best Use Cases

  • Short-form social videos for vertical, square, and landscape platforms.
  • Product demonstrations, advertisements, and branded motion creatives.
  • Cinematic concept clips, storyboards, and pre-visualization.
  • Character action tests, mood films, and promotional trailers.

Notes

  • This model generates video from text prompts and does not require an input image.
  • Clear descriptions of motion and camera direction generally produce more controllable results.
  • Generated audio is intended to match the scene and may vary with the prompt and visual action.

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'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "aspect_ratio": "9:16",
  "resolution": "720p",
  "duration": 5,
  "generate_audio": true
}
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/text-to-video" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

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

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The text prompt describing the video you want to generate.
aspect_ratiostringNo9:1621:9, 2:1, 16:9, 4:3, 1:1, 3:4, 9:16The aspect ratio of the generated media.
resolutionstringNo720p720p, 1080pResolution of the generated video.
durationintegerNo55 ~ 20Video length in seconds (5-20).
generate_audiobooleanNotrue-Whether to generate audio for the video.

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.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
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.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
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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