Wan 2.7 Video Edit

Wan 2.7 Video Edit performs prompt-driven editing on existing videos with optional multi-image reference support. Upload a source video, describe the desired edits in natural language, and optionally provide reference images to guide the target style or element appearance — the model applies precise, context-aware edits while preserving motion and temporal consistency throughout the clip.

Need to extend a video? Try Wan 2.7 Video Extend
Need to generate from an image? Try Wan 2.7 Image-to-Video

Why Choose This?

Natural-language video editing Describe your edit in plain text — swap colors, change objects, alter styles — without manual masking or keyframing.
Multi-image reference support Upload 1 to 9 reference images to guide the target element, style, or appearance in the edited output.
Audio control Choose between auto mode (model decides) or origin to preserve the original audio track.
Negative prompt support Specify what to avoid in the edit for more precise control over the output.
Prompt expansion Enable enable_prompt_expansion to let the model automatically enrich and optimize your prompt before generation.
Resolution options Generate at 720p or 1080p to match your delivery requirements.

Parameters

Parameter	Required	Description
video	Yes	Source video to edit (URL or file upload).
prompt	Yes	Text description of the desired edits.
images	No	Reference images to guide editing (1–9 images). Click Add Item for more.
negative_prompt	No	Elements to exclude from the edited video.
resolution	No	Output resolution: 720p (default) or 1080p.
duration	No	Output duration in seconds. Default 0 = same as input video. Set 2–10 to trim from the start to the specified length.
audio_setting	No	Audio mode: auto (default, model decides) or origin (keep original audio).
enable_prompt_expansion	No	Enable automatic prompt optimization before generation. Default: off.
seed	No	Random seed for reproducible results. Use -1 for a random seed.

How to Use

Upload your video — provide the source clip to edit via URL or drag-and-drop.
Write your prompt — describe exactly what should change (e.g., "Change the motorcycle's color to blue.").
Add reference images (optional) — upload images to guide the look of elements or styles in the edit.
Add negative prompt (optional) — specify elements you want to exclude from the output.
Select resolution — 720p for standard output, 1080p for higher-quality results.
Set duration (optional) — leave at 0 to match the input video length, or set 2–10 to trim.
Set audio_setting (optional) — choose auto or origin to preserve original audio.
Enable prompt expansion (optional) — let the model automatically enrich your prompt.
Set seed (optional) — fix the seed to reproduce a specific result in future runs.
Submit — generate, preview, and download your edited video.

Pricing

Duration	720p	1080p
5s	$0.50	$0.75
10s	$1.00	$1.50

Billing Rules

720p: $0.10 per second
1080p: $0.15 per second (1.5× base rate)
Minimum billed duration: 2 seconds
Maximum billed duration: 10 seconds

Best Use Cases

Color & Style Changes — Swap object colors, materials, or visual styles across the entire clip.
Object Replacement — Replace specific elements in the video with different objects or variants.
Scene Adjustments — Change background mood, lighting, or environment without reshooting.
E-commerce — Edit product videos to showcase different variants or settings from a single source clip.
Content Iteration — Rapidly test multiple edit directions on the same source footage.

Pro Tips

Be specific and descriptive in your prompt — the more detail you provide, the more accurate the edit.
Upload reference images when you want the model to match a specific target appearance or style.
Use negative_prompt to prevent edits from bleeding into areas you want to preserve.
Enable prompt expansion for shorter or less detailed prompts to get richer output automatically.
Use 720p to test your edit direction before committing to a 1080p final render.

Notes

Both video and prompt are required fields; all other parameters are optional.
Billed duration is clamped between 2 and 10 seconds regardless of actual video length.
Ensure video and image URLs are publicly accessible if using links rather than direct uploads.
Please ensure your content complies with usage policies.

Related Models

Wan 2.7 Video Extend — Extend existing videos with last frame control.
Wan 2.7 Image-to-Video — Animate a reference image into a cinematic video clip.
Wan 2.7 Text-to-Video — Generate video from text prompts without existing footage.

Wan 2.7 Video Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/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 2.7 Video Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/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",
    "negative_prompt": "blurry, low quality, distorted",
    "resolution": "720p",
    "duration": 0,
    "audio_setting": "auto",
    "enable_prompt_expansion": false,
    "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("alibaba/wan-2.7/video-edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "negative_prompt": "blurry, low quality, distorted",
        "resolution": "720p",
        "duration": 0,
        "audio_setting": "auto",
        "enable_prompt_expansion": false,
        "seed": -1
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "alibaba/wan-2.7/video-edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "negative_prompt": "blurry, low quality, distorted",
    "resolution": "720p",
    "duration": 0,
    "audio_setting": "auto",
    "enable_prompt_expansion": false,
    "seed": -1
}
)

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

Wan 2.7 Video Edit API — Frequently asked questions

What is the Wan 2.7 Video Edit API?

Wan 2.7 Video Edit is a Alibaba model for video editing, exposed as a REST API on WaveSpeedAI. WAN 2.7 Video Edit performs prompt-driven video editing with multi-image reference support, supporting 720p/1080p output. 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 2.7 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/alibaba/alibaba-wan-2.7-video-edit.

How much does Wan 2.7 Video Edit cost per run?

Wan 2.7 Video Edit starts at $0.50 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 2.7 Video Edit accept?

Key inputs: `prompt`, `images`, `video`, `resolution`, `duration`, `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/alibaba/alibaba-wan-2.7-video-edit.

How do I get started with the Wan 2.7 Video Edit API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Wan 2.7 Video Edit outputs commercially?

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

ExamplesView all

Related Models

README

Wan 2.7 Video Edit

Why Choose This?

Parameters

How to Use

Pricing

Billing Rules

Best Use Cases

Pro Tips

Notes

Related Models

Wan 2.7 Video Edit API — Quick start

Wan 2.7 Video Edit API — Frequently asked questions