7ART
All-in-one AI character platform for music, video, and visual content generation.
Обзор
Что такое 7ART?
7ART is an all-in-one AI-powered character platform and creator studio designed for producing music, videos, images, and voice-overs from a single consistent identity. It serves as a comprehensive AI artist and virtual influencer pipeline, allowing users to build a complete persona—including face profile, voice cloning, and musical style—and seamlessly deploy that character across multiple formats. Powered by advanced underlying generation models like Kling, Veo, Seedance, and Wan, the platform handles everything from studio-quality photoshoots and text-to-video generation to full song creation with lyrics and vocals, culminating in direct distribution to global streaming platforms like Spotify and Apple Music.
Для чего используется 7ART?
Теги

Основные функции
- Consistent Cross-tool AI Character Identity
- Multimodal AI Generation (Image, Video, Music, Voice, Lipsync)
- AI Artist & Influencer Guided Builders
- Motion Control Transfer from Reference Videos
- Full AI Music Studio with Lyrics, Vocals, and Stem Separation
- Text-to-Speech with 22+ Premium Voices and Voice Cloning
Как использовать 7ART?
To use 7ART, users can start by building a consistent AI artist identity using the 8-step guided character builder flow or by uploading a reference photo. Once the character's face, voice, and style are established, creators can use the studio workspace tools to enter text prompts or scripts, generate synced music tracks, execute AI lipsync, or apply motion control to bring their virtual characters to life.
Альтернативные инструменты
Преимущества & Недостатки
Нет данных
Варианты использования
- Creating fully AI-generated music artists with consistent album art, vocals, and music videos for distribution on Spotify.
- Building virtual influencers to generate user-generated content (UGC) ads, product placements, and brand campaigns.
- Developing multi-shot cinematic video scenes maintaining absolute character face consistency via reference Elements.
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