Decart Lucy Edit Pro API Documentation
Playground
Try it on WaveSpeedAI!Lucy Edit Pro is a state-of-the-art video editing model that produces studio-quality results in minutes, not weeks. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Lucy Edit Pro is a high-end, text-guided video editing model for precise, cinematic transformations. Provide a source video and a natural-language prompt, and the model redraws clothing, style, and scene details frame by frame while preserving motion, timing, and composition. Compared with the Dev edition, Pro prioritizes visual fidelity, temporal stability, and 720p output quality.
What Lucy Edit Pro does
-
Advanced prompt-based video editing Transform outfits, add props, restyle scenes, or change visual themes using simple text instructions.
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Structure-preserving edits Keeps original camera motion, pacing, and blocking; only the requested elements are modified.
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High temporal consistency Reduces flicker and frame-to-frame drift, especially on detailed clothing, hair, and accessories.
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720p-ready quality Designed for sharper, more detailed output suitable for social content, previews, and concept shots.
Inputs
-
video (required): The source clip to edit. The output duration matches the input duration (up to the maximum supported length).
-
prompt (required): A clear description of the desired edit, for example: “Transform the woman’s outfit into a regal medieval gown with a jeweled crown.” “Turn the kitchen into a futuristic laboratory with glowing panels.”
-
resolution
-
480p
-
720p
Pricing
| Resolution | Price per second |
|---|---|
| 480p | $0.100 |
| 720p | $0.150 |
Maximum supported duration per request: 120 seconds.
How to use
- Upload or paste the URL of your source video.
- Choose the output resolution (480p for cheaper drafts, 720p for higher quality).
- Write a focused prompt describing exactly what should change and what should remain.
- Run the model and review the edited clip.
- Refine the prompt and rerun to iterate on details such as style, color, or accessories.
Tips for best results
- Use well-lit, reasonably clean footage; extreme compression and heavy motion blur reduce quality.
- Keep prompts specific (“Replace her clothes with a red sci-fi pilot suit with metallic details”) rather than vague.
- When iterating, keep the core prompt stable and only adjust small parts to maintain consistency.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"resolution": "720p"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/decart/lucy-edit-pro" \
-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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The prompt to edit the video. | |
| video | string | Yes | - | The video to translate. | |
| resolution | string | No | 720p | 720p, 480p | The resolution of the video (720p/480p). |
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 | Output values, usually URL strings; some models return text strings or structured result objects (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.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 |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |