Introducing Alibaba WAN 2.7 Video Edit on WaveSpeedAI

Edit Videos With Text Instructions Using WAN 2.7 Video Edit on WaveSpeedAI

Traditional video editing means timeline scrubbing, layer management, keyframing, and render queues. Alibaba WAN 2.7 Video Edit replaces that workflow with a single text instruction. Give it a source video and a description of what you want changed — “make it snowy,” “change the car to red,” “add sunset lighting” — and the model applies the edit while preserving the video’s structure, motion, and temporal consistency.

Instruction-based video editing, now available on WaveSpeedAI.

What is WAN 2.7 Video Edit?

WAN 2.7 Video Edit is an instruction-following video editing model. It takes two inputs: a source video and a text instruction describing the desired edit. The model modifies the video according to the instruction while keeping everything else intact — the scene composition, motion trajectories, timing, and overall structure remain unchanged.

This isn’t frame-by-frame image editing. The model understands temporal relationships, so edits are consistent across all frames — a color change doesn’t flicker, an added element doesn’t jump, and lighting modifications maintain coherent shadows and reflections.

Key Features

• Natural Language Editing: Describe edits in plain English. No masks, no keyframes, no timeline. Just tell the model what to change.

• Temporal Consistency: Edits are applied consistently across all frames. A style change at frame 1 holds steady through frame 120 without drift or flicker.

• Structure Preservation: The video’s motion, composition, and timing remain intact. Only the specified elements change.

• Wide Edit Range: Supports color changes, style transfers, object modifications, environmental effects (weather, lighting, time of day), and visual additions.

• WAN 2.7 Architecture: Latest-generation model with improved understanding of complex edit instructions and better visual fidelity.

Real-World Use Cases

Creative Re-Styling

Transform the visual style of existing footage — make a daytime scene look like golden hour, convert live-action to anime style, or add a vintage film aesthetic. All without re-shooting.

Product Video Variations

Change product colors, backgrounds, or environments in existing product videos. One shoot produces dozens of variations for different markets, seasons, or A/B tests.

Weather and Environment Effects

Add rain, snow, fog, or sunshine to existing outdoor footage. Useful for film pre-visualization, advertising, or adapting content for seasonal campaigns.

Brand Compliance

Modify colors, remove unwanted elements, or adjust lighting in existing video assets to match brand guidelines without re-shooting or manual frame-by-frame editing.

Localization

Adapt video content for different markets by modifying visual elements — changing signage text direction, adjusting environmental context, or altering cultural visual cues.

Getting Started

import wavespeed

output = wavespeed.run(
    "alibaba/wan-2.7/video-edit",
    {
        "video": "https://example.com/source-video.mp4",
        "prompt": "Change the season to winter with snow covering the ground and trees"
    },
)

print(output["outputs"][0])

Provide a source video and a text instruction. The model returns the edited video.

Pricing

WAN 2.7 Video Edit is priced for practical use — affordable enough for creative experimentation and cost-effective at scale for production pipelines. No cold starts on WaveSpeedAI ensures immediate processing.

Best Practices

1. Be specific about what to change: “Make it look better” is too vague. “Change the wall color from white to dark blue” gives the model a clear, actionable instruction.

2. Don’t change everything at once: Complex multi-edit instructions (“change the color, add rain, make it night, and add a cat”) may produce inconsistent results. Apply major edits one at a time for best quality.

3. Use stable source footage: The model preserves the original motion, so shaky or heavily compressed source videos will carry those issues into the edit. Start with clean footage.

4. Review across the full duration: Check that edits are consistent from beginning to end. While WAN 2.7 excels at temporal consistency, complex edits on longer videos are worth reviewing fully.

Conclusion

WAN 2.7 Video Edit brings the simplicity of text instructions to video editing. Describe what you want changed, and the model handles the visual transformation while preserving everything else about your footage. No timeline, no layers, no render queue.

Edit videos with words, not software. Try WAN 2.7 Video Edit on WaveSpeedAI today and transform your video content with a single text instruction.