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MiniMax
動画モデルMiniMax H3 Max
MiniMax H3 Max is a video variant that fal Research post-trained from MiniMax H3's open-source weights and optimized with its own inference system. It retains H3's core approach of understanding scenes through multiple types of material and generating sound and visuals together, while supporting faster experimentation and revision. This positioning is useful for teams that need to compare several shot, movement, or composition options in a short time: describe a scene with a clear prompt, then refine characters, camera behavior, and sound effects based on the first results. fal offers text-to-video, image-to-video, and reference generation for projects starting with text alone, an existing opening frame, or combined guidance from images, video, and audio. fal's description emphasizes prompt adherence, visual aesthetics, and inference efficiency. Actual waiting time still depends on the material, duration, output settings, and service queues. Treat it as a distinct post-trained version and compare it separately with MiniMax's original H3, rather than assuming all parameters and output quality are identical.
- Fast Iteration
- Prompt Adherence
モデルの主な特長
Post-trained by fal
Based on MiniMax H3’s open-source weights, with adjustments for prompt adherence and visual aesthetics.
Fast comparison of alternatives
Uses fal’s inference system for repeated testing of shots, movement, and composition.
Three creation routes
Choose text-to-video, image-to-video, or generation guided by multiple reference materials as your starting point.
