Transform characters, redefine visual identity, and create cinematic video experiences with next-generation generative AI.
H.264/HEVC & VP9 ingest; multi-channel 16-bit OpenEXR sequence export for compositing suites.
Character Transformation, Semantic Rotoscoping, Z-Depth Relighting, Identity Lock, and Optical Flow.
Native latent conditioning at 1080p/1440p with spatial detail recovery up to 4K UHD @ 24/30/60 fps.
Bi-directional optical flow trajectory conditioning across 16-frame sliding windows to suppress flicker.
Scrub the comparison divider or use ← → arrow keys to inspect frame-locked source footage against VidSynth's 5 neural conditioning passes.
Select a render pass to switch the right comparison viewport and inspect its conditioning parameters:
Synthesizes stylized character surface geometry, anodized armor materials, and subsurface visor optics while locking onto the performer's cranial pose and torso articulation.
Condition latent video generation with explicit camera extrinsics, focal length ramps, and shutter motion blur profiles before submitting batch renders.
Simulates a high-velocity mechanical zoom-and-dolly punch toward the primary subject anchor, conditioning latent background layers with physically proportional radial motion blur.
Hover over any reference plate to preview playback, or open the frame inspector for full pipeline metadata. All plates are verified internal VidSynth R&D sequences.
3840×1600 (2.40:1 Scope) • 24.00 fps • ACEScg 16-Bit Multi-Pass Output
Modular conditioning architecture designed for multi-pass VFX pipelines:
In accordance with our engineering transparency standards, we clearly separate capabilities implemented in this web application from our proposed cloud GPU rendering infrastructure.
Decouples structural pose and facial landmark geometry from surface texture synthesis, preventing facial distortion during steep head turns.
Generates isolated alpha channels for cranial mesh, garments, and props so background plates remain untouched until final composite.
Predicts dense metric Z-depth per frame to guide virtual rim and key light interaction across synthesized materials.
Enforces cross-frame latent attention weighted by RAFT optical flow motion vectors across 16-frame sliding windows.
Complete schema (`001_initial_schema.sql`) with strict per-user RLS policies for profiles, projects, render job logs, and credit ledgers.
Designed to dispatch multi-pass conditioning jobs to containerized GPU worker nodes via asynchronous job queues.
Target `g5.2xlarge` / `p4d` inference nodes for running UNet-3D diffusion, RAFT optical flow, and ViT-Matte passes.
Asynchronous scheduling of frame-chunked conditioning jobs with spot/on-demand scaling based on queue depth.
Pre-signed URL ingest for source plates and lifecycle-managed storage for 16-bit OpenEXR / ProRes output sequences.
Worker container logging, frame render duration metrics, and dead-letter queue alerting for failed conditioning passes.
Commercial terms are structured around transparent compute credit consumption. Finalized volume pricing and SLA commitments are tailored during onboarding.
For individual technical directors and creators evaluating VidSynth's workflow and conditioning passes.
For professional creators, finishing artists, and boutique VFX studios requiring multi-pass deliverables.
For production studios and media organizations requiring custom workspace governance and dedicated support.
Register your studio or engineering team for the upcoming Pro VFX Studio cohort or schedule a technical architecture review.
When Supabase credentials are configured in config/config.js, submissions are persisted directly to public.early_access_leads with duplicate-email validation. In Local Sandbox Mode, submissions are validated and stored in your browser's local demonstration registry.
For studio partnerships, architecture briefings, or direct founder correspondence:
founder@vidsynth.appDual-stream HTML5 video comparison engine with sub-frame drift correction, 5 conditioning pass toggles, and frame-step transport controls.
Interactive camera trajectory conditioning preview supporting Crash Zoom, 360° Orbit, 4× Optical Flow Slow Motion, Tracking Pan, Dolly In, and Handheld profiles.
Complete authentication flows, PostgreSQL RLS migration (`001_initial_schema.sql`), project CRUD, render pass simulation logging, and credit ledger tracking.
