Lucy Edit Pro | AI Video Enhancement API

Lucy-edit-pro — High-Fidelity Text-Guided Video Editor

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.
Structure-preserving edits Keeps original camera motion, pacing, and blocking; only the requested elements are modified.
High temporal consistency Reduces flicker and frame-to-frame drift, especially on detailed clothing, hair, and accessories.
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.

Lucy Edit Pro API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/decart/lucy-edit-pro with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Lucy Edit Pro below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/decart/lucy-edit-pro" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "720p"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("decart/lucy-edit-pro", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "resolution": "720p"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "decart/lucy-edit-pro",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "720p"
}
)

print(output["outputs"][0])  # → URL of the generated output

Lucy Edit Pro API — Frequently asked questions

What is the Lucy Edit Pro API?

Lucy Edit Pro is a Decart model for video editing, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Lucy Edit Pro 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/decart/decart-lucy-edit-pro.

How much does Lucy Edit Pro cost per run?

Lucy Edit Pro starts at $0.10 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 Lucy Edit Pro accept?

Key inputs: `prompt`, `video`, `resolution`. 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/decart/decart-lucy-edit-pro.

How long does Lucy Edit Pro take to generate?

Average end-to-end generation time on WaveSpeedAI is around 2079 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Lucy Edit Pro outputs commercially?

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

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