AI model

Suno V5 music generator is an independent music generator built based on the Suno V5 model function and is not an official product. It provides powerful music generation capabilities, with breakthrough features such as studio-level vocal generation, multi-instrument support, and local track editing. Its main advantages include extremely fast generation of high-quality finished products, linkage between style templates and lyrics, controllable structure, etc. The product supports free quota and pay-per-view. New users have free trial points and can also obtain additional points through daily check-in and other methods. It is suitable for startups, creators and music technology innovators to use for music creation.

AI Music Generator is a powerful tool that uses text prompts to create unique high-quality music. It generates background music, complete songs with lyrics, and is ideal for a variety of creative projects. The product is free, unlimited, and offers a rich selection of music styles and moods.

Musicful is an online AI music generator that allows users to create unique songs, beats, DJ sound effects, etc. by entering text, no music experience required. Product prices are divided into basic, standard and professional packages, suitable for individual creators, video producers, game developers, etc.

MakeSong is an innovative AI song generator that can quickly generate high-quality music based on user-provided text or lyrics. It offers endless possibilities for music creators, whether creating personal compositions, commercials, or generating background music for social media content. This product supports a variety of music styles and provides different price packages to suit users with different needs.

HiMusic is the world's first unlimited free AI music generator, powered by Magenta RT technology. Users can generate unlimited music without logging in, and support random generation of musical instruments, lyrics and other parameters. The price positioning is free and aims to make music creation more convenient.

Lami AI Music Generator is an advanced AI tool that can quickly convert text into original music and supports commercial use. It provides AI vocal cancellation, audio track separation and other functions to lower the threshold of music creation.

LyricsToSongAI.com is the leading AI music generator and AI song generator capable of creating professional quality songs from text or lyrics. Background information on this product includes having 10K global users, a 98% satisfaction rate, and serving 150 countries.

AI rap generator is a tool that uses AI technology to create rap music from text, and can quickly generate unique rap music works. Its advantages include rapid creation, helping to solve creative obstacles, providing free music, etc.

Lyria 2 is the latest music generation model, capable of creating high-fidelity music in a variety of styles and suitable for complex musical works. This model not only provides powerful tools for music creators, but also promotes the development of music generation technology and improves creation efficiency. Lyria 2's goal is to make music creation easier and more accessible, providing flexible creative support for professional musicians and enthusiasts.

Mureka is an AI music generation platform designed to help users transform text or prompts into high-quality musical compositions. The product processes users' lyrics and music style choices through intelligent algorithms to generate professional-quality songs that are ideal for music creators and enthusiasts. Mureka offers unlimited creations and guarantees that the generated music is royalty-free and suitable for any commercial use.

AbletonMCP is a plug-in that connects Ableton Live with Claude AI, using the Model Context Protocol (MCP) to enable music production, track creation and real-time session control. This tool not only simplifies the music creation process, but also improves work efficiency. It is especially suitable for music producers and creators, helping them inspire inspiration and quickly realize creative ideas through AI technology. Pricing information for the plugin is not provided, but users can download and use it for free on GitHub.

NotaGen is an innovative symbolic music generation model that improves the quality of music generation through three stages of pre-training, fine-tuning and reinforcement learning. It uses large language model technology to generate high-quality classical scores, bringing new possibilities to music creation. The main advantages of this model include efficient generation, diverse styles, and high-quality output. It is suitable for fields such as music creation, education and research, and has broad application prospects.

DiffRhythm is an innovative music generation model that uses latent diffusion technology to achieve fast and high-quality full song generation. This technology breaks through the limitations of traditional music generation methods. It does not require complex multi-stage architecture and tedious data preparation, and can generate a complete song of up to 4 minutes and 45 seconds in a short time with only lyrics and style tips. Its non-autoregressive structure ensures fast inference speed, greatly improving the efficiency and scalability of music creation. The model was jointly developed by the Audio, Speech and Language Processing Group (ASLP@NPU) of Northwestern Polytechnical University and the Big Data Research Institute of the Chinese University of Hong Kong (Shenzhen) to provide a simple, efficient and creative solution for music creation.

CLaMP 3 is an advanced music information retrieval model that supports cross-modal and cross-language music retrieval through comparative learning to align features of scores, performance signals, audio recordings, and multilingual texts. It is able to handle misaligned modalities and unseen languages, exhibiting strong generalization capabilities. The model is trained on the large-scale data set M4-RAG, which covers various music traditions around the world and supports a variety of music retrieval tasks, such as text-to-music, image-to-music, etc.

InspireMusic is an AIGC toolkit and model framework focusing on music, song and audio generation, developed using PyTorch. It achieves high-quality music generation through audio tokenization and decoding processes, combined with autoregressive Transformer and conditional flow matching models. The toolkit supports multiple condition controls such as text prompts, music style, structure, etc. It can generate high-quality audio at 24kHz and 48kHz, and supports long audio generation. In addition, it also provides convenient fine-tuning and inference scripts to facilitate users to adjust the model according to their needs. InspireMusic is open sourced to empower ordinary users to improve sound performance in research through music creation.

YuE is a groundbreaking open source base model series designed for music generation, capable of converting lyrics into complete songs. It can generate complete songs with catchy lead vocals and supporting accompaniment, supporting a variety of musical styles. This model is based on deep learning technology, has powerful generation capabilities and flexibility, and can provide powerful tool support for music creators. Its open source nature also allows researchers and developers to conduct further research and development on this basis.

YuE is an open source music generation model developed by the Hong Kong University of Science and Technology and the Multimodal Art Projection team. It can generate a complete song of up to 5 minutes, including vocals and backing parts, based on given lyrics. This model solves the complex problem of lyrics-to-song generation through a variety of technological innovations, such as semantically enhanced audio taggers, dual tagging technology, and lyric chain thinking. The main advantage of YuE is that it can generate high-quality music works, support multiple languages ​​​​and music styles, and is highly scalable and controllable. The model is currently free and open source and aims to advance the development of music generation technology.

AI Music Generator is an online platform based on artificial intelligence that can quickly generate original music. It uses sophisticated machine learning models and neural network technology to analyze the patterns and structures of millions of songs to generate high-quality melodies, harmonies and vocals. The product's main advantages are its ability to quickly implement music creation, support customization across multiple genres and styles, and offer flexible generation options. It is suitable for music creators, content producers and enterprise users, helping them save creative time, inspire inspiration, and generate music that meets their specific needs. The product provides free trials and multiple paid plans to meet the needs of different users.

Kokoro-82M is a text-to-speech (TTS) model created by hexgrad and hosted on Hugging Face. It has 82 million parameters and is open source using the Apache 2.0 license. The model released v0.19 on December 25, 2024, and provides 10 unique voice packs. Kokoro-82M ranked first in TTS Spaces Arena, showing its efficiency in parameter scale and data usage. It supports US English and British English and can be used to generate high-quality speech output.

TangoFlux is an efficient text-to-audio (TTA) generation model with 515M parameters, capable of generating up to 30 seconds of 44.1kHz audio in only 3.7 seconds on a single A40 GPU. This model solves the challenge of TTA model alignment by proposing the CLAP-Ranked Preference Optimization (CRPO) framework, which enhances TTA alignment by iteratively generating and optimizing preference data. TangoFlux achieves state-of-the-art performance on both objective and subjective benchmarks, and all code and models are open source to support further research on TTA generation.

EasyMusic AI Music Generator is a platform that uses artificial intelligence technology to quickly transform ideas into professional music tracks. It provides content creators with state-of-the-art AI music generation services without the need for music expertise. The product creates unique music by training models on millions of songs and analyzing user input. With its fast, easy-to-use and highly creative features, it has changed the way music is created, making it more convenient and economical.

AI Sound Effect Generator is a revolutionary tool that uses advanced AI technology to convert written descriptions into custom sound effects. The technology combines natural language processing and neural audio synthesis to produce high-quality output. The system uses deep learning models trained on large audio data sets to understand complex audio features and generate corresponding effects. It's for content creators, game developers, and audio professionals who need quick access to custom sound effects. AI Sound Effect Generator processes detailed description and contextual information to create detailed, layered audio effects to match your creative vision. Whether it's ambient ambience, mechanical noise, musical elements or abstract effects, our systems generate them accurately and with fidelity. This method of audio generation offers creative possibilities through the power of artificial intelligence.

Sketch2Sound is a generative audio model capable of creating high-quality sounds from a set of interpretable time-varying control signals (loudness, brightness, pitch) as well as text cues. The model can be implemented on any text-to-audio latent diffusion transformer (DiT) and requires only 40k steps of fine-tuning and a separate linear layer per control, making it more lightweight than existing methods such as ControlNet. The main advantages of Sketch2Sound include the ability to synthesize arbitrary sounds from sound imitations and to follow the general intent of the input controls while maintaining input text prompts and audio quality. This enables sound artists to create sounds by combining the semantic flexibility of text cues with the expressiveness and precision of vocal gestures or vocal imitations.

CosyVoice speech generation large model 2.0-0.5B is a high-performance speech synthesis model that supports zero-sample, cross-language speech synthesis and can directly generate corresponding speech output based on text content. This model is provided by Tongyi Laboratory and has powerful speech synthesis capabilities and a wide range of application scenarios, including but not limited to smart assistants, audio books, virtual anchors, etc. The importance of the model lies in its ability to provide natural and smooth speech output, which greatly enriches the human-computer interaction experience.

SunoAiFree is a cutting-edge AI music generation platform focusing on music generation and text-to-music conversion. It provides free AI music generation services, allowing users to quickly create high-quality music tracks that meet industry standards. SunoAiFree has advanced technology, supports multiple language input, can understand and generate corresponding music, has fast music generation speed and high-quality output to meet the needs of different users.

MelodyFlow is a text-controlled high-fidelity music generation and editing model that uses continuous latent representation sequences to avoid the information loss problem of discrete representations. The model is based on a diffusion transformer architecture and trained with flow matching objectives to generate and edit diverse high-quality stereo samples with the simplicity of textual descriptions. MelodyFlow also explores a new regularized latent inversion method for text-guided editing on zero-shot testing and demonstrates its superior performance on a variety of music editing cues. The model is evaluated on both objective and subjective metrics, demonstrating comparable quality and efficiency to the evaluation baseline on standard text-to-music benchmarks, and surpassing previous state-of-the-art techniques in music editing.

UniMuMo is a multimodal model that can take arbitrary text, music, and motion data as input conditions and generate output across all three modalities. The model bridges these modalities through a unified encoder-decoder converter architecture by converting music, motion, and text into token-based representations. It significantly reduces computational requirements by fine-tuning existing single-modality pre-trained models. UniMuMo achieves competitive results on all unidirectional generation benchmarks for music, action, and text modalities.

QA-MDT is an open source music generation model that integrates state-of-the-art models for music generation. It is based on multiple open source projects, such as AudioLDM, PixArt-alpha, MDT, AudioMAE and Open-Sora, etc. The QA-MDT model is able to generate high-quality music by using different training strategies. This model is particularly useful for researchers and developers interested in music generation.

Stable Audio ControlNet is a music generation model based on Stable Audio Open, fine-tuned through DiT ControlNet, and can be used on GPUs with 16GB VRAM to support audio control. This model is still under development, but it can already achieve the generation and control of music, which has important technical significance and application prospects.

YourMusic is an artificial intelligence technology music generation platform based on the SUNO AI 3.5 model. It uses deep learning algorithms to analyze music data and style, integrate notes, chords and rhythms to provide personalized music works for music creators, fans and users seeking unique music experiences.

JASCO is a text-to-music generation model that combines symbolic and audio-based conditionals, which is capable of generating high-quality music samples based on global text descriptions and fine-grained local control. JASCO is based on the flow matching modeling paradigm and a novel conditional approach, allowing music generation to be controlled both locally (e.g. chords) and globally (text descriptions). Extracting control-specific information via information bottleneck layers and temporal ambiguity allows combining symbolic and audio-based conditions in the same text-to-music model.

Stable Audio Open 1.0 is an AI model that utilizes autoencoders, T5-based text embeddings, and transformer-based diffusion models to generate up to 47 seconds of stereo audio. It generates music and audio from text prompts, supporting research and experiments to explore the current capabilities of generative AI models. The model is trained on datasets from Freesound and Free Music Archive (FMA), ensuring data diversity and copyright legality.

SunoAI.ai is a revolutionary AI music generator that instantly creates unique AI MP3 songs, free to use. Download now and enjoy innovative music!

ChatMusician is an open source large language model (LLM) that integrates musical capabilities through continuous pre-training and fine-tuning. The model is based on text-compatible music representation (ABC notation) and treats music as a second language. ChatMusician is able to understand and generate music without relying on external multi-modal neural architecture or tokenizers.

Stability AI high-fidelity text-to-speech models are designed to provide natural language guidance for speech synthesis models trained on large-scale datasets. It performs natural language guidance by annotating different speaker identities, styles, and recording conditions. This method was then applied to a 45,000-hour dataset used to train speech language models. Furthermore, the model proposes simple ways to improve audio fidelity and, despite relying entirely on discovered data, performs well to a large extent.

WhisperKit is a tool for automatic speech recognition model compression and optimization. It supports compression and optimization of models and provides detailed performance evaluation data. WhisperKit also provides quality assurance certification for different datasets and model formats, and supports local reproduction of test results.

StemGen is an end-to-end music generation model trained to listen to musical background and respond appropriately. It is built on a non-autoregressive language model type architecture, similar to SoundStorm and VampNet. See the paper for more details. This page shows several example outputs for this architectural model.

Music ControlNet is a diffusion-based music generation model that can provide multiple precise, time-varying music controls. It can generate audio based on melodic, dynamic and rhythmic control, and can partially specify control over time. Compared with other music generation models, Music ControlNet has higher melody accuracy, fewer parameters, and smaller data size. Please visit the official website for pricing information.

BGM Cat provides one-stop service for copyrighted background music, genuine commercial authorization, AI intelligently generated music library, free and unlimited, quick authorization, and one-click download.

AI Music Generator (AMG) is an AI tool that can generate audio clips through simple descriptions. It is powered by Meta's AudioCraft technology. $0.008 per second, trial version generates for 60 seconds.

MusicLM is a model that can generate high-fidelity music from text descriptions. It can generate 24kHz audio, the music style is consistent with the text description, and supports conditional generation based on melody. By using the MusicCaps dataset, the model outperforms previous systems in terms of audio quality and consistency with text descriptions. MusicLM can be applied to different scenarios, such as generating music clips, generating music based on painting descriptions, etc.

MuseNet is a deep neural network model that can generate 4-minute musical compositions using 10 different instruments and can combine a variety of musical styles, from country to Mozart to the Beatles. MuseNet discovered harmonic, rhythmic, and stylistic patterns by learning to predict the next note in hundreds of thousands of MIDI files. This model uses the same general unsupervised learning techniques as GPT-2 to predict the next token in an audio or text sequence.

Vagabond AI is an advanced marketplace that allows artists to clone their sounds using artificial intelligence and share ownership of the resulting audio content via blockchain technology. It provides a platform for the creation of AI-generated sound models, NFTs and lyrics, promoting collaboration between creators and users. It also provides customization, blockchain security and flexible usage scenarios.

ClearCypherAI is a US-based AI startup building cutting-edge solutions. Our products include text-to-speech (T2A), speech-to-text (A2T) and speech-to-speech (A2A), supporting multi-language, multi-modal, real-time voice intelligence. We also provide natural language data sets, threat assessments, AI customization platforms and other services. Our products are highly customizable, advanced technology and excellent customer support.