Wan 2.2 Video Edit

What is Wan 2.2 Video Edit?

Wan 2.2 Video Edit is a text-driven video editor: describe the change, and the model applies it directly to your footage. Swap identities, change outfits and props, recolor or restyle scenes, and adjust attributes—while keeping motion and continuity consistent across frames.

Pricing

Output	Price per 5s	Max Length
480p	$0.20	120 s
720p	$0.40	120 s

Designed for

Marketing & Brand – Quick wardrobe swaps, colorway tests, and on-brand variations without reshoots.
E-commerce & Fashion – Try new styles/prints on existing clips; localize looks per market.
Post/Studios – Fast previz and pickup fixes (outfit tweaks, minor character replacements).
Creators & Social Teams – Rapid A/B ideas for thumbnails, shorts, and trend edits.

How to Use

Upload video (required) – the clip you want to edit.
Write prompt (required) – clear edit intent, such as:

Change the woman's vest to a bikini.
Replace the man with a teenage boy.
Turn the jacket red and add sunglasses.

Set resolution – 480p or 720p.
Set seed – use a fixed number to reproduce results.
Generate – wait a moment, review, and iterate (adjust prompt or seed for variants).

Wan 2.2 Video Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/video-edit 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 Wan 2.2 Video Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/video-edit" \
  -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": "480p",
    "seed": -1
}'

# 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("wavespeed-ai/wan-2.2/video-edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "resolution": "480p",
        "seed": -1
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/wan-2.2/video-edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "480p",
    "seed": -1
}
)

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

Wan 2.2 Video Edit API — Frequently asked questions

What is the Wan 2.2 Video Edit API?

Wan 2.2 Video Edit is a WaveSpeedAI model for video editing, exposed as a REST API on WaveSpeedAI. Wan 2.2 Video Edit lets you modify videos via text prompts (e.g., change clothing or characters). Powered by Wan 2.2, it supports 480p ($0.20/5s) and 720p ($0.40/5s), up to 120s. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Wan 2.2 Video Edit 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/wavespeed-ai/wan-2.2-video-edit.

How much does Wan 2.2 Video Edit cost per run?

Wan 2.2 Video Edit starts at $0.20 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 Wan 2.2 Video Edit accept?

Key inputs: `prompt`, `video`, `resolution`, `seed`. 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/wavespeed-ai/wan-2.2-video-edit.

How long does Wan 2.2 Video Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 263 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Wan 2.2 Video Edit outputs commercially?

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

ExamplesView all

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