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VisionKut vs Linum

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

VisionKut compared with Linum
DetailVisionKut logo VisionKutLinum logo Linum
What it doesAI video production studio with 21 studios and an autopilot editor Generative video models for animation
StageStartup Not given
Founded2024 Not given
Based inUS US
Pricing modelNot given Not given
PricingFree during launch: 2,000 credits per month, 10 GB storage, watermark-free exports. Paid plans starting from 5,000 credits per month and 25 GB storage are coming. Individual studios charge per output: AI Film from 250 credits per shot, Generate Video from 50 credits per minute, Dubbing from 50 credi Not given
Key features
  • 21 purpose-built AI studios for different video production tasks
  • AI Film: generate multi-scene cinematic films from scripts with consistent characters
  • Autopilot Editor: turn raw footage into finished edits with automatic cutting, framing, grading, captions and mixing
  • Dubbing: translate and re-voice videos into 75+ languages keeping original speaker's voice
  • Voice Clone: clone voice from 42-second sample and reuse for any script
  • Doodle Explainer: generate hand-drawn whiteboard explainer videos
  • AI Avatar Twins: create speaking avatars from a photo and voice sample
  • No installation required: browser-based with renders running on servers
  • Exports up to 4K without watermark on free plan
  • 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 21 studios accessible in one browser tab with a unified autopilot editor
  • Editing and exporting never use credits; credits only for GPU-intensive generation
  • Character consistency: AI Film maintains same protagonist across multi-scene films
  • Renders continue running on servers when browser tab is closed
  • Designed for low bandwidth and mid-range devices without performance sacrifice
  • 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)Not checked yet no change since last check44 +1 (up) since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)1832
Referring domains (Majestic)2397

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