Create bicep heart trend videos from a single portrait using AI
Stage
Not given
Not given
Founded
Not given
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Based in
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Not given
Pricing model
Paid
Paid
Pricing
Single: $8.99 for one 720p video (10 credits). Trio: $19.99 for three 720p videos or two 1080p videos (30 credits). Crew: $49.99 for ten 720p videos or six 1080p videos plus 10 credits remaining (100 credits). 720p HD: 10 credits. 1080p Full HD: 15 credits. All prices in US dollars. One-time payment
One attempt: $9.99 USD (1 credit); Three attempts: $24.99 USD (3 credits); Seven attempts: $49.99 USD (7 credits). One-time purchases with no subscription. Each generation attempt uses 1 credit.
Key features
Upload one or two portrait photos with face and upper body visible
Generate 15-second vertical MP4 videos ready for mobile sharing
Automatic credit refund for failed or blocked renders
Videos usually ready in 5-10 minutes
Personal 'My videos' library to store and manage generated clips
Credits never expire and can be saved for later use
Fixed pose template requiring no custom prompts or reference videos
Local photo preview before uploading or generating
6-second 720p MP4 video output in 3:4 portrait format
Seven-day account-protected download period
Silent video with no watermark
Supports JPEG, PNG and WebP formats up to 8 MB
Powered by Seedance 2.0 Mini AI model
One-time credit purchases with no subscription
What makes it different
Pre-set scenes eliminate the need to write prompts or work with timelines
Photorealistic output that viewers mistake for real filmed footage
Reduces production time compared to booking and shooting a real video
One-time purchase model with non-expiring credits
Photos used only for your video, never for AI model training
Preset fixed pose template specific to the bicep heart trend, eliminating need for custom prompts
Transforms a single portrait into animation without reference video uploads
Local preview of photo quality before committing credits
Affordable one-time purchases starting at $9.99 for single attempts
Real AI results with transparent limitations and examples
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