this is open source or close?</p>\n","updatedAt":"2026-07-17T14:21:41.000Z","author":{"_id":"66d2e8d41ba71ac4c08e0307","avatarUrl":"/avatars/4cfc4b11d66739d072f7166bb9d43f08.svg","fullname":"SR.Suzume","name":"srsuzume","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.9630875587463379},"editors":["srsuzume"],"editorAvatarUrls":["/avatars/4cfc4b11d66739d072f7166bb9d43f08.svg"],"reactions":[],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2607.14749","authors":[{"_id":"6a59954d6c2e371e6ca380e0","name":"Binghui Chen","hidden":false},{"_id":"6a59954d6c2e371e6ca380e1","name":"Pandeng Li","hidden":false},{"_id":"6a59954d6c2e371e6ca380e2","name":"Yu Liu","hidden":false},{"_id":"6a59954d6c2e371e6ca380e3","name":"Jingren Zhou","hidden":false}],"publishedAt":"2026-07-16T00:00:00.000Z","submittedOnDailyAt":"2026-07-17T00:00:00.000Z","title":"WanSong v1.0 Technical Report","submittedOnDailyBy":{"_id":"6039478ab3ecf716b1a5fd4d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6039478ab3ecf716b1a5fd4d/_Thy4E7taiSYBLKxEKJbT.jpeg","isPro":true,"fullname":"taesiri","user":"taesiri","type":"user","name":"taesiri"},"summary":"Music generation foundation models have recently attracted significant industry attention. However, achieving efficient generation and high-fidelity long-form audio while supporting controllability remains challenging. To address these needs, we present WanSong, a simple yet powerful approach for long-form, commercial-grade song generation. Unlike autoregressive (AR) and cascaded multi-stage pipelines (\\eg, AR followed by diffusion), WanSong is a pure diffusion-based model that directly generates high-fidelity, multilingual songs up to 5 minutes and outputs dual stems (vocals and background music) in a single run. In addition, our diffusion framework enables faster inference through step-distillation, and offers an efficient pathway for fine-tuning and customization to support downstream editing tasks.","upvotes":8,"discussionId":"6a59954d6c2e371e6ca380e4","organization":{"_id":"67bc7cd418dd753c02a82684","name":"Wan-AI","fullname":"Wan-AI","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/67b610677ea7952def8b29c6/N6jQbbeaa_FcUY-wI1dgG.png"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"6270324ebecab9e2dcf245de","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6270324ebecab9e2dcf245de/cMbtWSasyNlYc9hvsEEzt.jpeg","isPro":false,"fullname":"Kye Gomez","user":"kye","type":"user"},{"_id":"620783f24e28382272337ba4","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/620783f24e28382272337ba4/zkUveQPNiDfYjgGhuFErj.jpeg","isPro":false,"fullname":"GuoLiangTang","user":"Tommy930","type":"user"},{"_id":"67bbade8a8c89b98ec377944","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/67bbade8a8c89b98ec377944/HPtKDo8fnKr4OxpN1Z17D.png","isPro":false,"fullname":"Urodoc Oncall","user":"UDCAI","type":"user"},{"_id":"66d2e8d41ba71ac4c08e0307","avatarUrl":"/avatars/4cfc4b11d66739d072f7166bb9d43f08.svg","isPro":false,"fullname":"SR.Suzume","user":"srsuzume","type":"user"},{"_id":"65c4eb7cd1dcbd30d86febec","avatarUrl":"/avatars/001c8f02e8ce794b2c21883628b2da72.svg","isPro":false,"fullname":"free-bit","user":"free-bit","type":"user"},{"_id":"69bd4f7b22b6ccba8310e4aa","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/YFn0ccaFDkkhr4tXJQ6BH.jpeg","isPro":false,"fullname":"佐藤蒼","user":"victoriajohnson","type":"user"},{"_id":"6a2da6c8ca070ee12c6e396c","avatarUrl":"/avatars/0355287dcabaa67dbc7f0b10b87451f9.svg","isPro":false,"fullname":"Joe Mama","user":"JoeMama123123123","type":"user"},{"_id":"69ccf171be44414ace4df2db","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/tfSoQatYvAMQMu_sHVc1A.png","isPro":false,"fullname":"이민서","user":"jacksonmartin51","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":0,"organization":{"_id":"67bc7cd418dd753c02a82684","name":"Wan-AI","fullname":"Wan-AI","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/67b610677ea7952def8b29c6/N6jQbbeaa_FcUY-wI1dgG.png"},"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2607/2607.14749.md","query":{}}">
WanSong v1.0 Technical Report
Abstract
Music generation foundation models have recently attracted significant industry attention. However, achieving efficient generation and high-fidelity long-form audio while supporting controllability remains challenging. To address these needs, we present WanSong, a simple yet powerful approach for long-form, commercial-grade song generation. Unlike autoregressive (AR) and cascaded multi-stage pipelines (\eg, AR followed by diffusion), WanSong is a pure diffusion-based model that directly generates high-fidelity, multilingual songs up to 5 minutes and outputs dual stems (vocals and background music) in a single run. In addition, our diffusion framework enables faster inference through step-distillation, and offers an efficient pathway for fine-tuning and customization to support downstream editing tasks.
Community
this is open source or close?
Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.
Tap or paste here to upload images
Cite arxiv.org/abs/2607.14749 in a model README.md to link it from this page.
Cite arxiv.org/abs/2607.14749 in a dataset README.md to link it from this page.
Cite arxiv.org/abs/2607.14749 in a Space README.md to link it from this page.
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.