Any audio or video can be extracted to extract vocal, accompaniment, and other instruments. High-quality stem cutting based on the #1 AI-powered technology in the world. Next-generation vocal remover and music source separator service for fast, simple, and precise stem removal. You can remove vocal, instrumental, drums and bass tracks, as well as acoustic guitar, electric guitar, and synthesizer tracks, without any quality loss. You can start the service free of charge. Upgrade to get more files processed and faster results. Only for personal use. Move to the next level. You can process thousands of minutes of audio and/or video. This software is suitable for both personal and business use. Each LALAL.AI package has a limit on the amount of audio/video that can be split. The package minute limit is deducted from each file that has been fully split. You can split as many files you like, provided their total length does not exceed the minute limit.
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Google AI Studio is an all-in-one environment designed for building AI-first applications with Google’s latest models. It supports Gemini, Imagen, Veo, and Gemma, allowing developers to experiment across multiple modalities in one place. The platform emphasizes vibe coding, enabling users to describe what they want and let AI handle the technical heavy lifting. Developers can generate complete, production-ready apps using natural language instructions. One-click deployment makes it easy to move from prototype to live application. Google AI Studio includes a centralized dashboard for API keys, billing, and usage tracking. Detailed logs and rate-limit insights help teams operate efficiently. SDK support for Python, Node.js, and REST APIs ensures flexibility. Quickstart guides reduce onboarding time to minutes. Overall, Google AI Studio blends experimentation, vibe coding, and scalable production into a single workflow.
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Muse Video
Muse Video is Meta’s upcoming AI video generation model developed by Meta Superintelligence Labs as part of the company’s new media generation lineup. Previewed with Muse Image, the model is built on the same pretraining base and is designed to produce visually detailed videos with native audio support. Muse Video is focused on generating clips that follow prompts closely, maintain strong visual fidelity, and preserve temporal consistency across motion and scene changes. It can create realistic short videos with clear beginnings, actions, and payoffs, such as animals moving through a scene, handheld first-person footage, product commercials, and UGC-style social ads. The model supports audio-rich outputs that may include environmental sound, foley, music, voiceover, and synchronized spoken dialogue. Meta highlights Muse Video’s ability to handle cinematic prompts, vertical ad formats, realistic camera movement, product demonstrations, and emotionally engaging creative concepts. The company is still investing in improvements for difficult areas such as audio-video sync and physically accurate fast motion. Muse Video is expected to become available to creators and in Meta AI, expanding Meta’s generative AI tools from image creation into video. As part of Meta’s broader creative ecosystem, Muse Video is built to help users, creators, and businesses turn prompts into dynamic, shareable video content.
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Seed Audio 1.0
Seed Audio 1.0 is an HTTP-based API for audio generation that does not rely on streaming, enabling the creation of complete audio from various inputs such as text prompts, reference audio, or images. This versatile tool offers the capability for text-only audio generation, where sound is produced straight from the provided prompt, as well as reference-audio generation, where uploaded clips influence the resulting output, and reference-image generation, which allows users to generate audio from text linked to an image reference. Developed under BytePlus Seed Speech, the Audio 1.0 model version emphasizes audio creation beyond mere speech, generating voices, music, and sound effects in one go. This approach facilitates the production of complex audio environments without the need to separately generate and mix each individual track, streamlining the audio creation process. The API is particularly geared towards developers looking to integrate audio generation into their applications, workflows, and production systems, featuring a request-based structure that enables teams to efficiently submit prompts for audio creation. Overall, Seed Audio 1.0 stands out as a powerful tool for enhancing multimedia projects with dynamic soundscapes.
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