About This Site
AI video generator with synchronized audio from text and images H3Max is an independent AI video generation website for creating 5–15 second videos from text prompts or image frames using MiniMax H3 Max. It supports 480P and 768P output at 24 FPS, optional first and last frames, reusable prompts, and native synchronized audio generated with the video. The platform also provides access to standard MiniMax H3 features for multi-reference generation, video editing, broader input types, and higher-resolution output.
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Key Features AI
Core Features
Text-to-video generation from prompts up to 7,000 characters
Image-to-video generation using first and optional last frames
Native synchronized stereo audio, including ambience, music, dialogue, and sound effects
480P and 768P video output at 24 FPS
5–15 second video generation
Reusable prompts and controlled prompt iteration
Camera movement and cinematic direction
Character identity and visual-style consistency
Structured multi-beat scene generation
Standard H3 workflows for multi-reference generation and existing-video editing
Support for multiple aspect ratios, including 21:9, 16:9, 4:3, 1:1, 3:4, and 9:16
Credit-based generation cost estimation
Advantages
Generates video and synchronized audio in the same pass
Supports both text prompts and first/last-frame image guidance
Offers controllable duration, resolution, aspect ratio, camera direction, and scene beats
Provides reusable prompts for repeatable creative workflows
Credit costs are visible and predictable at 10 credits per second for H3 Max
Supports vertical, widescreen, square, and other common video formats
Annual subscriptions reduce the effective credit purchase cost compared with monthly billing
缺点：H3 Max is limited to 480P or 768P output and 5–15 second clips
缺点：Multi-reference generation and existing-video editing require standard H3 rather than H3 Max
缺点：No free trial quota or free generation allowance is specified
缺点：Generation requires paid credits
缺点：Results may require multiple iterations and careful prompt structure
缺点：The approximately 2.5-second benchmark applies to backend inference for a 5-second 768P clip, not necessarily total waiting time
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