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Free AI tool that turns two face photos into HD kissing videos with customizable romantic styles and settings.
AI video generator that animates two uploaded photos into a kissing video clip with selectable styles, backgrounds, and durations.
Browser tool that animates a single character photo to follow a chosen dance or motion clip, aimed at casual social-video creators.
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
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No public pricing
No public pricing
- ✦Two-photo kissing animation
- ✦Multiple kissing styles
- ✦Customizable intensity and scene
- ✦HD output
- ✦Encrypted, private processing
- ✦Two-photo image-to-video kissing animation
- ✦Multiple kissing styles and background choices
- ✦Adjustable video duration and resolution
- ✦Credit-based generation with multiple AI video models
- ✦Additional templates such as hugging and dancing
- ✦Image-to-video character animation
- ✦Motion template library of trending dances/clips
- ✦Mix mode to combine a character image with a reference motion video
- ✦Move mode that preserves the original photo background
- ✦Choice of green or white background for output
- ✦Unfiltered/unrestricted generation mode for private use
- ✦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
- →Wedding and anniversary videos
- →Valentine's content
- →Social media romantic clips
- →Creating novelty videos for anniversaries or Valentine's Day
- →Generating shareable social media content
- →Producing personalized video gifts for couples or family
- →Turning a personal photo into a dancing avatar for social media
- →Animating anime or fan-art characters to trending clips
- →Creating meme-style motion videos from static images
- →Producing unrestricted/private character animations
- →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