Ltx-2 AI – 4K Audio-Video Generation with Creative Control

Hacker News

I built Ltx-2 AI, a next-generation video generation model that unifies sound, motion, and visual storytelling in one pass. Unlike fragmented workflows that require separate dubbing, rendering, and editing, Ltx-2 AI delivers synchronized audio-visual output — precise, cinematic, and production-ready. What it does: Generates synchronized audio + video in a single pass Delivers native 4K textures and frame-consistent motion Offers multi-mode performance — fast preview to high-fidelity render Supports multi-keyframe control, 3D camera logic, and LoRA style adapters Accepts text, image, clip, depth, and audio inputs Provides open APIs and SDKs for integration and automation Who it’s for: Filmmakers, marketers, and animation studios Game and XR developers Post-production and pre-vis teams Anyone needing cinematic motion without full 3D pipelines Try it here: https://www.jxp.com/ltx-2 Would love feedback from the HN community — especially on integration use cases, 4K performance, and creative direction tools.

Visit product View on Hacker NewsOct 27, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, visual, single · Missing: mac, agents, macos

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports, para, ios · Missing: reddit linkedin, podcasting, created

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, video, para · Missing: mobile apps, personal, entrepreneurs

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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