Wan 2.7

Overview

Wan 2.7 is a multimodal AI studio that generates 15-second video clips and high-resolution images. It provides control over video composition through first-frame, last-frame, and 9-grid layout inputs. The tool allows users to alter visual content using natural language commands, supporting character consistency through subject and voice reference features. The platform handles image generation with specific control over facial features and color palettes via 8-hex code inputs. Users can perform local edits on images using a box-select tool to modify specific regions without regenerating the entire frame. For video, the system offers motion dynamics and audio synchronization, designed to maintain subject continuity across multiple shots. This tool is for content creators and editors who need to build specific visual sequences without traditional rendering pipelines. It is a choice for those requiring precise control over composition and style, rather than random generative output. The platform operates on a credit-based system, scaling from casual video generation to professional production workflows.

Key Features

15s video generation - creates extended clips at 1080p resolution

9-grid composition - forces specific scene layouts for video generation

Instruction-based editing - modifies video output through text prompts

Subject & voice reference - locks character features for series continuity

4K image generation - produces high-resolution assets with text support

8-hex color control - enforces precise brand color palettes

Box-select local editing - isolates and changes specific parts of an image

Use Cases & Problems Solved

Use Cases

•Use when you need to maintain character consistency in video sequences using voice and subject references.
•Perfect for creating 15-second cinematic clips with specific start and end frames.
•Ideal if you need to edit an image locally by selecting a specific region rather than regenerating the full frame.
•Use to generate infographics or diagrams that require high-density text rendering in up to 13 languages.
•Perfect for storyboarding scenes using the 9-grid image-to-video structure for composition control.
•Ideal if you need to enforce strict brand colors by providing specific hex codes for image generation.

Problems Solved

✓Eliminates character inconsistency across multiple video shots
✓Removes the need for manual frame-by-frame video editing
✓Solves the issue of poor text rendering in AI-generated images
✓Reduces the time spent on complex color grading for brand assets

Who It's For

Digital content creatorsSocial media managersGraphic designersIndependent filmmakersMarketing agencies

Fit Analysis

Best For

Best for content creators who need granular control over video composition and character consistency.

Not Ideal For

Not ideal for high-end professional film production because it lacks the raw format support and timeline-based editing depth of industry-standard software.