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Fast AI video and image generator known for consistent multi-reference characters, anime motion, and free off-peak generation.
Free AI video background remover on keyword domain; thin single-purpose page, no traffic.
AI color-grading software for editors and colorists that auto-balances, matches shots, and runs locally in Resolve, Premiere, and more.
Alibaba's Wan AI platform for generating video and images from text or reference images, part of the Tongyi generative AI family.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Text-to-video, image-to-video, and reference-to-video generation
- ✦Multi-reference consistency using up to 7 images
- ✦First and last frame transition control
- ✦Anime art-to-video animation
- ✦Unlimited free generation in off-peak mode
- ✦AI sound effect and AI image generation tools
- ✦Video Background Remover
- ✦AI shot matching across sequences
- ✦One-click auto color balance
- ✦AI auto white balance
- ✦Match a look from any reference image
- ✦Local, on-device processing
- ✦Plugin/standalone for Resolve, Premiere, Nuke, Flame, Baselight
- ✦Film and grain emulation (Pro)
- ✦Text-to-video generation
- ✦Image-to-video generation
- ✦Text-to-image and image editing
- ✦Open-source model releases for developers
- ✦Part of Alibaba's broader Tongyi AI ecosystem
- →Marketers producing branded video ads with consistent characters
- →Anime creators animating static art
- →Creators reusing saved characters/props across multiple videos
- →Users wanting fast, low-cost video generation via off-peak mode
- →Perfect for short-form content like TikToks, Reels, YouTube Shorts, and business videos, all processed directly in the browser.
- →Balancing and matching entire timelines
- →Fast cinematic grading for editors
- →High-end finishing and VFX color
- →Creating and sharing looks
- →Content creators generating short AI video clips
- →Developers building on open-source Wan model weights
- →Marketers producing quick visual content
- →Researchers experimenting with video diffusion models