Decart Lucy Edit Dev
Playground
Try it on WavespeedAI!Lucy Edit Dev accelerates post-production, delivering studio-grade video edits in minutes instead of weeks. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Lucy-edit-dev — Ultra-Fast Text-Guided Video Editor
Lucy Edit Dev is a state-of-the-art text-guided video editing model. Give it a source video and a short prompt, and it will transform the content while preserving timing, camera motion, and overall composition.
What Lucy Edit Dev can do
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Prompt-based video editing Change clothing, add or remove objects, alter styles, or adjust scene appearance using natural language instructions.
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Structure-preserving edits Keeps original framing, motion, and pacing while modifying only the requested elements.
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High temporal consistency Edits stay stable across frames, avoiding heavy flicker or “teleporting” artifacts.
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Fast turnaround Optimized for quick responses so you can try multiple prompts and versions in minutes, not hours.
Inputs
-
video (required) The source clip to edit. The output duration matches the input duration (subject to platform limits).
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prompt (required) A concise description of the desired edit, such as: “Turn the city into a futuristic neon metropolis” “Replace all cars with horse-drawn carriages” “Dress the people in medieval armor”
Pricing
- Price per second: $0.030
- Maximum supported duration per request: 120 seconds
How to use
- Upload or paste the URL of your source video.
- Write a clear prompt describing what should change and what should stay the same.
- Click Run.
- Preview the edited clip; if needed, tweak the prompt and re-run to iterate quickly.
Tips for best results
- Keep prompts focused and specific (“Add light snowfall and winter coats” is better than “Make it different”).
- Use reasonably clear, well-lit footage; very dark or heavily compressed videos reduce edit quality.
- When refining a look, keep the core prompt and only adjust small details to get consistent outcomes.
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/decart/lucy-edit-dev" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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 translate. | |
| prompt | string | Yes | - | The prompt to edit the video. |
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 |