Decart unveils Lucy 2, an open-source AI model for live video edits

Decart launched Lucy 2, a new open-source AI tool that lets people edit live videos just by typing what they want. With Lucy 2, changes like adding logos, swapping backgrounds, or turning people into cartoons happen instantly while streaming - no need for editing after the show. The system works quickly, keeping videos smooth and high-quality, and costs about $3 per hour to run. Marketers can now make live ads more fun and personal, such as showing different products based on where viewers are or letting shoppers try on virtual outfits. Experts think more live streams will use smart overlays like Lucy 2 very soon.

Decart has launched Lucy 2, a revolutionary open-source AI model that enables real-time video editing with simple text prompts. This technology moves live AI video marketing from concept to reality, allowing streamers and marketers to achieve studio-quality effects instantly, bypassing post-production. Lucy 2 seamlessly integrates between the camera and streaming platform, re-rendering each frame on the fly.

Real-Time Performance and Technical Specs

Lucy 2 is a real-time, open-source AI video editing model that intercepts a live video feed to apply text-prompted changes like background swaps. It outputs smooth, high-definition video with minimal delay, enabling dynamic, interactive live content without requiring post-production.

The model delivers impressive performance, outputting a 1080p stream at 30 FPS with under 100 ms of latency, as shown in Decart's live demo. An engineering deep-dive on YouTube confirms the model achieves temporal consistency on a single Nvidia GPU, with an operational cost of approximately US$3 per hour R5eLA7h3jPY.

Key pipeline steps:
- Ingests video from webcams, phones, or RTMP feeds.
- Translates text prompts into motion-aware diffusion masks.
- Renders edits frame-by-frame to ensure flicker-free output.
- Outputs the modified stream to OBS, browsers, or other platforms.

Transformative Use Cases for Marketers and Creators

The ability to alter live video unlocks powerful applications for dynamic advertising and content creation. Marketers are already exploring several key scenarios:
1. Geolocation-based branded product placement during live sports.
2. Interactive virtual try-ons for fashion and e-commerce streams.
3. Instant background swaps, such as changing a studio into Times Square via a chat command.
4. Audience-triggered cartoon or special effect filters to drive engagement.

According to a MarketingTechNews report, Lucy 2's superior prompt adherence gives it an edge over competing models like Veo 3. This precision is critical for advertisers who require exact brand color and logo representation.

Market Impact and Future Roadmap

Lucy 2 enters a burgeoning AI video market, projected to triple from its US$4.2 billion valuation in 2025 by 2027. While most existing tools focus on post-production, Lucy 2's real-time capabilities are a key differentiator. To further accessibility, Decart is developing a Delulu Stream plugin, which will enable codeless integration with OBS for creators and influencers.

Industry analysts forecast that by 2026, over 20% of live e-commerce streams will incorporate real-time generative overlays. Brands that master this technology now will be positioned to control formats that viewers may soon consider standard.

What exactly can Lucy 2 do during a live stream?

Lucy 2 processes any incoming video (webcam, phone, RTMP) at 1080p/30 FPS with <100 ms latency, letting you:

Swap people or objects while keeping original lighting and motion
Replace backgrounds with a single prompt ("drop me in Times Square")
Change clothing on the fly for virtual try-ons
Insert branded products that track naturally with camera movement
Apply cartoon, cyber-punk, or dragon-fire filters that react to chat commands

Every edit is frame-by-frame, so viewers see zero flicker or downtime.

How does the open-source license change the game?

The model weights and inference code are published under Permissive Apache 2.0, which means:

No usage fees for personal or commercial streams
Self-host on an RTX 4090 or cloud GPU for roughly $3 per hour of continuous generation
Fork and fine-tune for niche sports, fashion, or gaming verticals without legal gray zones

Early forks on GitHub already show community plug-ins for Blender virtual cameras and Unity XR rigs.

Is special hardware required to run Lucy 2 in real time?

A single Nvidia RTX 4090 (24 GB VRAM) hits the spec sheet's 30 FPS target.
Cloud options:

AWS g5.2xlarge or Google Cloud A100 instances boot the ready-made AMI in <5 min
Energy draw averages 280 W - comparable to running a mid-range gaming PC

For reference, that translates to ≈ $0.08 per streamed minute on spot GPU pricing.

How will marketers use Lucy 2 for personalized campaigns?

Because edits happen live, campaigns can branch per viewer segment:

Geo-targeted billboards behind the host swap based on IP location
Apparel colors match team jerseys of whoever is watching
Virtual influencers can co-host and switch languages or outfits per audience A/B test

Industry data shows 72 % higher engagement when viewers see personally relevant objects on screen, turning Lucy 2 into an ROI multiplier rather than a cost line.

When can creators start using Lucy 2 with OBS or TikTok Live?

OBS plug-in entered public beta on delulustream.com - install links are one-click for Windows and Mac
TikTok Live Studio integration is scheduled for Q3 2025; early partners are already testing shopping-stream product drops
REST & WebSocket APIs (Python, JavaScript) are live at decart.ai for custom player embeds