Hailuo 3.0

Hailuo 3.0 is an AI video generator that converts text prompts and static images into cinematic videos at native 4K resolution and 60 frames per second. The platform combines text-to-video generation, image-to-video animation, and director-level camera control in a unified workflow designed for users who need professional video output without traditional production resources. Unlike earlier AI video models that upscale from lower resolutions or cap frame rates at 30fps, Hailuo 3.0 renders natively at 4K 60FPS and includes synchronized audio generation, eliminating the need for separate sound editing.

How It Works

Users start by selecting either text-to-video or image-to-video mode. Text-to-video generation accepts written scene descriptions and produces complete video clips from scratch, while image-to-video mode animates uploaded product photos, character portraits, or concept art into dynamic footage. Both modes support Director Mode, which applies professional camera movements including pan, zoom, orbit, tracking, and crane shots. Motion Brush allows users to define movement for specific objects within a scene, giving precise control over which elements animate and how they move. Video duration ranges from 5 to 30 seconds per generation, with native audio sync available as an optional toggle. Generation typically completes within 30 to 180 seconds depending on clip length and complexity, and outputs download as 4K MP4 files ready for publishing.

Who Uses Hailuo 3.0

The platform targets marketing teams, content creators, e-commerce brands, and independent filmmakers who need professional video at scale without studio budgets. Marketing agencies use it to generate ad creative variants for performance testing campaigns, replacing weeks of traditional production with same-day turnaround. E-commerce brands animate product photography into 360-degree demos and promotional clips. Social media creators produce vertical 9:16 format videos for TikTok, Instagram Reels, and YouTube Shorts by animating archive photos or generating original scenes from prompts. Filmmakers use text-to-video with Director Mode to previsualize scenes before committing to location shoots, treating AI-generated drafts as visual storyboards that inform production decisions.

Key Capabilities

Hailuo 3.0 delivers four major upgrades over its predecessor: resolution increases from 1080p to native 4K, frame rate doubles from 30fps to 60fps, maximum clip duration extends from 10 seconds to 30 seconds, and native audio generation debuts for the first time. Character consistency maintains visual identity across scenes and camera movements, critical for branded content and narrative storytelling. The platform supports bilingual prompts in English and Chinese, with English producing the most consistent results for complex scene descriptions. Vertical format output makes content directly compatible with mobile-first platforms without reformatting.

Pricing and Access

Hailuo 3.0 operates on a freemium model with credits allocated to new users during registration. After free usage is exhausted, continued generation requires purchasing additional credits. Credits are only deducted for successful generations—if a video fails to render, credits automatically return to the user's account. Refunds are available if usage remains below 10% and requests are submitted within 7 days of purchase. Commercial use is permitted, with users retaining usage rights for generated videos subject to platform terms of service. Prompts, uploaded images, and generated videos are not used for model training, and generation data remains private.

Comparison Context

Compared to competing AI video models, Hailuo 3.0 distinguishes itself through native 60FPS output, true 4K resolution without upscaling, and multimodal audio sync. While models like Sora and Google Veo cap public output at 24-30fps and 1080p, and Kling 1.5 upscales to 4K from lower native resolution, Hailuo 3.0 renders at full 4K from the start. The platform handles complex physical logic and maintains strong semantic understanding across layered motion instructions, making it suitable for scenarios requiring precise prompt following and realistic object interactions.