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This is a big day. Meta is open-sourcing AudioCraft. You can now generate incredible music and sounds with a single prompt. It includes the most performant Generative AI Model (audio) on the market, the "Llama" of Audio. The research framework contains the weights and code of these models: ▸... show more

Lior Alexander

116,819 subscribers

231,665 次观看 • 3 年前 •via X (Twitter)

教育音乐科学技术

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10 条评论

Lior⚡ 的头像

Lior⚡3 年前

Article: Github: Congrats @jadecopet, @syhw, @jpineau1, @ylecun

Southrye - (₳) 的头像

Southrye - (₳)3 年前

Ive been putting it through its paces. Here is a video of my favourite generations.

Isak Westerlund 🦇🔊 的头像

Isak Westerlund 🦇🔊3 年前

Non-commercial license 🙄

Jason Inch 的头像

Jason Inch3 年前

Thanks for sharing this, you brought it to my attention last night and this morning I added some music and sound to my SD Controlnet demo vid. AudioCraft makes a huge difference in the visual impact to hear piano and effects....

Tibor Blaho 的头像

Tibor Blaho3 年前

I think it's amazing. I have shared the initial experiments with MusicGen and ChatGPT here:

Alexey 的头像

Alexey3 年前

Any platform I can run it on via API already?

Frank Baez 的头像

Frank Baez3 年前

What about the copyright on the generated audio, is it free?

Edison Ade 的头像

Edison Ade3 年前

@memdotai mem it

Mem 的头像

Mem3 年前

@AlphaSignalAI Saved! Here's the compiled thread: 🪄 AI-generated summary: "Meta has open-sourced AudioCraft, a research framework that includes the most performant Generative AI Model (audio) on the market. It allows users to generate incredible music...

mam niki 的头像

mam niki3 年前

@kargarisaac 😳😳😳😳👍👍👍👍

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Researchers at Meta recently shared MAGNeT, a single non-autoregressive transformer model for text-to-music & text-to-sound generation capable of generating audio on-par with the quality of SOTA models — at 7x the speed. MAGNeT is open source as part of AudioCraft. Hear audio samples and get more details on this work ➡️

Researchers at Meta recently shared MAGNeT, a single non-autoregressive transformer model for text-to-music & text-to-sound generation capable of generating audio on-par with the quality of SOTA models — at 7x the speed. MAGNeT is open source as part of AudioCraft. Hear audio samples and get more details on this work ➡️

AI at Meta

122,001 次观看 • 2 年前

MusicHiFi Fast High-Fidelity Stereo Vocoding Diffusion-based audio and music generation models commonly generate music by constructing an image representation of audio (e.g., a mel-spectrogram) and then converting it to audio using a phase reconstruction model or vocoder.

MusicHiFi Fast High-Fidelity Stereo Vocoding Diffusion-based audio and music generation models commonly generate music by constructing an image representation of audio (e.g., a mel-spectrogram) and then converting it to audio using a phase reconstruction model or vocoder.

AK

27,285 次观看 • 2 年前

Today, we are releasing Stable Video Diffusion, our first foundation model for generative AI video based on the image model, Stable Diffusion. As part of this research preview, the code, weights, and research paper are now available. Additionally, today you can sign up for our waitlist to access a new upcoming web experience featuring a Text-To-Video interface. To access the model & sign up for our waitlist, visit our website here:

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Stability AI

1,024,682 次观看 • 2 年前

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

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AI at Meta

2,265,850 次观看 • 1 年前

As part of Meta Movie Gen, we trained a 13B parameter audio generation model that can take a video + optional text prompts to generate high quality audio — including ambient sound, foley & instrumental background music — all synced to the video. Details ➡️

As part of Meta Movie Gen, we trained a 13B parameter audio generation model that can take a video + optional text prompts to generate high quality audio — including ambient sound, foley & instrumental background music — all synced to the video. Details ➡️

AI at Meta

76,729 次观看 • 1 年前

AI Text-to-Music has arrived. MusicLM is a model by Google Research that generates high-fidelity music from text descriptions. Basically just enter some text and it will create the music. 🤯 Attached video shows sample text prompts and AI generated music.

AI Text-to-Music has arrived. MusicLM is a model by Google Research that generates high-fidelity music from text descriptions. Basically just enter some text and it will create the music. 🤯 Attached video shows sample text prompts and AI generated music.

Dave Lee

72,546 次观看 • 3 年前

Today we launched Gemini 3.1 Flash TTS, our most expressive and controllable text-to-speech model yet. This launch [excitement] includes audio tags! 🗣🏷 Audio tags [explanatory] are a seamless way to guide vocal style, pace, and delivery using natural language commands embedded directly in your text. Want a different tempo or tone? [amazement] Just tag the audio to steer the AI-speech output! The model supports 70+ languages (24 of which are high-quality evaluated languages, including: Japanese, Hindi, and Arabic). Watch the audio tags in action in the demo below ↓

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Google AI

203,166 次观看 • 4 个月前

Meta just released MusicGen, a simple and controllable model for music generation MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods like MusicLM, MusicGen doesn't not require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, can predict them in parallel, thus having only 50 auto-regressive steps per second of audio try out the Gradio demo: Models on Hugging Face: github:

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Meta just released MusicGen, a simple and controllable model for music generation MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. Unlike existing methods like MusicLM, MusicGen doesn't not require a self-supervised semantic representation, and it generates all 4 codebooks in one pass. By introducing a small delay between the codebooks, can predict them in parallel, thus having only 50 auto-regressive steps per second of audio try out the Gradio demo: Models on Hugging Face: github:

AK

627,486 次观看 • 3 年前

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Stability AI

67,618 次观看 • 11 个月前

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1,252,099 次观看 • 8 个月前

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AI at Meta

515,818 次观看 • 2 年前

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ElevenLabs

450,763 次观看 • 2 年前

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122,706 次观看 • 1 年前

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326,831 次观看 • 14 天前

Today, we’re thrilled to announce the open weights for Stable Diffusion 3 Medium, the latest and most advanced text-to-image AI model in our Stable Diffusion 3 series! This new release represents a major milestone in the evolution of generative AI and continues our commitment to democratising this powerful technology. 🎉 Learn more and get started here:

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Stability AI

308,312 次观看 • 2 年前

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AI at Meta

380,978 次观看 • 2 年前

Suno Studio is absolutely incredible. AI Digital Audio Workstation (DAWs) are here, and we are going to create some incredible music with this. I love how you can generate each instrument with a text prompt. You can even record your own instruments too!

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Jerrod Lew

87,295 次观看 • 10 个月前

As detailed in the Meta Movie Gen technical report, today we’re open sourcing Movie Gen Bench: two new media generation benchmarks that we hope will help to enable the AI research community to progress work on more capable audio and video generation models. Movie Gen Video Bench is the largest and most comprehensive benchmark ever released for evaluating text-to-video generation. It includes a collection of 1,000+ prompts that cover concepts ranging from detailed human activity to animals, physics, unusual subjects and more — with broad coverage across different motion levels. Movie Gen Audio Bench is a first-of-its-kind benchmark aimed at evaluating video-to-audio and (text+video)-to-audio generation. It includes 527 generated videos and associated sound effects and music prompts covering a diverse set of ambient environments and sound effects. To enable fair and easy comparison to our models for future works, these new benchmarks include non cherry-picked generated videos and audio from Movie Gen. In releasing these new benchmarks we hope to promote fair & extensive evaluations in media generation research to enable greater progress in this field.

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AI at Meta

156,273 次观看 • 1 年前

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Meta Newsroom

204,747 次观看 • 8 个月前