Wan 2.7 Pro Edit

Edit and transform images using text instructions with the WAN 2.7 Pro model for precise, professional-grade image modifications.

By Alibaba

Pricing: $0.075 per image

Overview

Wan 2.7 Pro Edit enables video editing and style transfer using natural language prompts. Edit existing videos by describing the changes you want, with optional reference images for style guidance.

Key Features

• **Video editing** — modify existing videos with text prompts
• **Style transfer** — apply reference image styles
• **Audio preservation** — keep original audio or regenerate
• **1080p output** — professional resolution

When to Use

Use for video style transfer, editing, and re-stylization tasks where you want to transform existing footage.

Examples

• Turn the office into a cozy mountain cabin: snow falling outside the windows, exposed wooden beams on ceiling, stone fireplace crackling, warm amber light

Frequently asked questions

What is Wan 2.7 Pro Edit?

Edit and transform images using text instructions with the WAN 2.7 Pro model for precise, professional-grade image modifications.

How much does Wan 2.7 Pro Edit cost on Runflow?

See current pricing at runflow.io. {'raw': '$0.075 per image', 'unit': 'image', 'amount': 0.075}

Can I use Wan 2.7 Pro Edit commercially?

Yes. Wan 2.7 Pro Edit is available under a commercial license on Runflow.

Related models

• FLUX.1 [dev] Edit, Image-to-image edits with FLUX.1 [dev]. Pass a source image plus a prompt and a transformation strength to redirect the composition while preserving subject identity.
• Multi Angles, Re-render the same subject from a different camera angle. Pick a horizontal view, a vertical angle, and a shot distance: the model rotates the camera around the subject and re-renders the scene from that pose.
• FLUX.2 [klein] 4B Edit, Fast image-edit endpoint backed by FLUX.2 [klein] 4B. Pass a base64 source image with the prompt for low-latency edits.
• Logo Inpaint, Place a logo onto a target image, with optional mask to constrain placement. When the mask is omitted, the workflow picks a placement automatically.

Discoverable surfaces

• Dispatch endpoint: POST https://api.runflow.io/v1/models/wan/v2.7/pro/edit/runs
• Per-model spec (markdown): https://app.runflow.io/models/wan/v2.7/pro/edit/llms.txt
• Docs page: https://docs.runflow.io/models/wan/v2.7/pro/edit
• Public OpenAPI spec: https://docs.runflow.io/api/openapi.public.json
• Agent skill (start here): https://www.runflow.io/.well-known/agent-skills/runflow/SKILL.md