AI video generator that puts your photo in the viral Rumpelstiltskin tip toe meme
Free online tool to animate photos and videos using AI motion control
Stage
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Founded
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Based in
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Pricing model
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Freemium
Pricing
Standard 720p: $9.99 for 1 video, $24.99 for 3 videos ($8.33 each), $69.99 for 10 videos ($7.00 each). HD 1080p: $24.99 for 1 video, $69.99 for 3 videos. All one-time payments, no subscription. Prices include tax.
Free tier with credits (amount not specified). One-time credit packs: Starter Pack $9.90 (110 credits), Creator Pack $29.90 (350 credits), Pro Pack $59.90 (580 credits). Standard quality uses 3 credits per second, Pro quality uses 4 credits per second.
Key features
No app to install - runs in browser on phone and desktop
Choose 9:16 vertical or 16:9 widescreen format
Two resolution options: Standard 720p or HD 1080p
Usually generates in 3 to 5 minutes
No watermark on downloaded videos
Failed videos automatically return to balance
One-time payment with no subscription
Motion transfer from 3-30 second reference videos
Full-body motion accuracy including hand gestures and facial expressions
Character orientation modes for image or video framing
Audio preservation from source videos
Prompt-guided refinement for backgrounds and lighting
Consistent character identity preservation across frames
HD export without watermarks
Motion Brush for localized motion control
Element Binding for multi-element facial alignment
Camera control for pan, tilt, dolly and zoom
What makes it different
Pay per video instead of subscription - use videos whenever you want and unused videos never expire
Upload one or two photos to customize both roles in the viral meme
Independent fan-made tool not affiliated with TikTok, Riff Raff or any copyright holders
Photos automatically deleted and never used to train AI models
Explicit motion extraction for predictable results instead of probabilistic generation
Professional animations created in 2-10 minutes instead of days or weeks
No motion-capture hardware or equipment required
Reduced trial-and-error through predictable motion control