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All-in-one AI creation platform powered by Wan 2.7 engine. Generate cinematic videos, images, and edit with precision from idea to final output.

WanOmni is a browser-based AI video generation platform built around the Wan 2.7 engine, designed to handle the complete video production workflow from initial concept to final cinematic output. The platform combines text-to-video generation, image-to-video conversion, instruction-based editing, video continuation, and multi-reference character consistency in a single unified interface. Users can create videos up to 15 seconds long at 1080p resolution with native audio-visual synchronization, professional camera movements, and multi-shot storytelling capabilities—all controlled through natural language prompts rather than traditional video editing software.
The platform centers on cinematic video generation with several distinct capabilities. Text-to-video generation transforms written descriptions into complete video sequences with automatic scene logic and shot sequencing. Image-to-video conversion animates static images into motion clips, while reference-to-video mode maintains character and visual consistency across multiple shots by accepting up to five reference inputs including images, videos, and audio files.
WanOmni handles audio-visual synchronization automatically, matching lip movements to dialogue across more than 40 facial expressions. The system supports professional camera techniques including push, pull, pan, track, crane shots, and advanced moves like Hitchcock zoom and handheld follow, all executed through text descriptions. Instruction-based editing allows users to modify existing clips by describing changes in plain language—removing objects, changing colors, swapping backgrounds, or adjusting focus—with edits blending naturally into the original footage.
The platform targets content creators who need high-quality video output without professional editing expertise or expensive production equipment. Social media marketers use it to generate attention-grabbing ads and promotional clips for platforms like TikTok and YouTube. E-commerce brands animate product photography into 360-degree demos and lifestyle showcase videos.
Film and animation studios employ WanOmni for pre-visualization and storyboarding, iterating on multi-scene sequences with consistent characters before committing to full production. Digital agencies create campaign content for clients, while educators and trainers produce explainer videos and step-by-step visual lessons. Game developers prototype cutscenes and cinematic trailers with synchronized audio.
The workflow follows a three-step process. Users upload reference assets—images, videos, or audio files—with support for up to 12 files across different modalities. They then describe their vision in natural language, referencing uploaded assets by type and number directly in the prompt. The system generates videos in 2-15 second lengths, which users can extend, edit, or refine by uploading results and making targeted adjustments.
Video outputs are delivered as MP4 files at 30 frames per second in either 720p or 1080p resolution. The platform processes most clips within minutes depending on selected resolution and duration. All generation happens through the browser interface with no software installation required.
WanOmni operates on a credit-based pricing model rather than subscriptions. New users receive free trial credits to test features before purchasing. Credit packages range from $9.90 for 100 credits up to $99.90 for 1,250 credits, with larger packages offering better per-credit rates. Credits never expire, and all tiers include commercial usage rights with no watermarks.
Payments are processed through Stripe and Creem with support for major credit cards and digital wallets. The platform offers a seven-day refund policy and 24/7 support. Users retain full ownership of generated content, and material created using the underlying open-source models is permitted for commercial use.
The Wan 2.7 engine supports text, image, and reference-based video generation with durations adjustable in whole-second increments from 2 to 15 seconds. Reference-to-video mode accepts up to five subject references to maintain character consistency, with support for up to five co-acting characters in a single scene. The system includes first and last frame control, 9-grid image-to-video conversion, and style transfer capabilities. Background audio inputs are limited to 3-30 second clips in WAV or MP3 format.
Automatically builds scene logic, shot sequencing, and camera language from a single sentence. Learns from professional screenplays to understand dramatic structure.
Produces broadcast-ready videos up to 1080P resolution with realistic lighting, cinematic color grading, and 30fps playback.
Supports 40+ facial expressions with automatic lip-sync matching emotion, voice tone, and dialogue timing. Handles fast-paced exchanges and inner monologues.
Upload up to 5 references (images, videos, or audio) to lock character appearance and voice consistency across multiple shots without manual adjustment.
Edit clips using plain-language commands: remove objects, change colors, swap backgrounds, adjust focus. Edits blend naturally with original footage.
定价模式
支持的平台
支持的语言
Supports dozens of camera moves including push, pull, pan, track, crane, Hitchcock zoom, and handheld follow via natural language descriptions.