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PopNow vs Linum

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

PopNow compared with Linum
DetailPopNow logo PopNowLinum logo Linum
What it doesAll-in-one AI studio for creating videos, images, and music with 140+ models and 170+ viral effects Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelPaid Not given
PricingStarter $9 (9,000 credits), Creator $19 (20,000 credits + 5% bonus), Studio $49 (55,000 credits + 12% bonus), Pro $99 (120,000 credits + 21% bonus). Prices from $0.002 per image with GPT Image 2.5 Sunburst, from $0.056 per 5-second video with Seedance 1.5 Pro, from $0.072 per song with Suno v6. Not given
Key features
  • 140+ AI models for video, images and sound on one account and credit balance
  • 170+ one-tap viral video effects
  • Photo-to-video conversion with 55+ image-to-video models
  • Filmmaker: multi-shot films with consistent cast and faces across scenes
  • Ads Studio: 6 ad types from one product photo in 4 sizes
  • AI Influencer: design custom characters and generate full feeds
  • Canvas: link images, clips and sound on one project board
  • Transparent pricing shown on button before each creation
  • Automatic refunds for failed generations
  • Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
  • 4× more aggressive token reduction than Linum v2
  • Converges in 11× fewer samples than Linum v2
  • 2B-parameter model with frozen Qwen text encoder
  • Pixel-space diffusion with multi-resolution readouts
  • PixelREPA alignment with DINOv3-L
  • Curriculum learning over noise schedule
What makes it different
  • All major AI models on one account with shared credits, no multi-app juggling or subscriptions
  • 170+ one-tap effects that transform photos instantly without complex prompts
  • Filmmaker studio that maintains consistent cast and faces across multiple scenes and episodes
  • Works on any device in web browser with library syncing across phone, tablet and desktop
  • Low-cost training: full 2B model trained for just $21K in compute
  • Controls baked into model training rather than post-hoc fine-tuning
  • Pixel-space compression without separate VAE bottleneck
  • Apache 2.0 open release with full model weights and code
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)39 +1 (up) since last check44 +1 (up) since last check
Trust Flow (Majestic)155
Citation Flow (Majestic)3232
Referring domains (Majestic)81397

4 details filled in for both companies.

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