Fugatto

SongR is an AI-powered text-to-song platform that lets users create fully custom songs in just a few clicks without needing musical experience. It transforms simple inputs like keywords, phrases, or short prompts into complete songs with generated lyrics, vocals, and instrumental accompaniment in a chosen genre, enabling unique music creation for social media, personal use, or entertainment. It is designed for ease of use with a three-step process of selecting a genre, entering text, and choosing a vocal style to produce a shareable song. SongR supports a wide range of musical styles including pop, hip hop, rock, country, and more, and allows users to customize lyrics or input their own text for a personalized creative process. It focuses on democratizing music creation by making professional-sounding song generation accessible to anyone, with options to download or share output across platforms and use songs for personalized gifts, content projects, and marketing.

MiniMax H3 is a general-purpose omni-modal generation model that jointly understands multimodal contexts spanning text, images, video, and audio. It generates videos with native stereo sound at up to 2K resolution and 15 seconds in length, delivering content for advertising, branding, ecommerce, product design, UI/UX, gaming, and creative workflows. Users can combine reference types in one instruction, for example, transferring camera movement from a video, placing a character from an image into the scene, and matching vocals from an audio clip, while describing the relationships in natural language. H3 supports text-to-image, text-to-video with jointly generated audio, multi-shot modeling, text-to-audio, and generalized reference and editing across images, videos, and audio. Voice, sound effects, and music are modeled together. The model excels at instruction following, accurate text and brand presentation, and video-to-video motion transfer.