Загрузка видео...

Не удалось загрузить видео

На главную

We're releasing ACE-Step-v1.5(2B), a fast, high-quality open-source music model. It runs locally on a consumer-grade GPU, generates a full song in under 2 seconds(on an A100), supports LoRA fine-tuning, and beats SUNO on common eval metrics. GitHub: Key traits: Quality: beats Suno on common eval scores Speed: full song...

acemusicAI's profile picture

ACE Music

2,324 subscribers

1,053,898 просмотров • 5 месяцев назад •via X (Twitter)

МузыкаНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

ACE-Step 1.5 just dropped 🔥 - Full song in <10 seconds on RTX 3090 - Only 4GB VRAM needed - 50+ languages - MIT license - COMMERCIAL USE OK (legally trained!) This is Suno-killer territory. Open source wins again. 🔗 #Suno #MusicAI #OpenSource #udio #aimusic #acestep
1:09

ACE-Step 1.5 just dropped 🔥 - Full song in <10 seconds on RTX 3090 - Only 4GB VRAM needed - 50+ languages - MIT license - COMMERCIAL USE OK (legally trained!) This is Suno-killer territory. Open source wins again. 🔗 #Suno #MusicAI #OpenSource #udio #aimusic #acestep

Vali Neagu

92,887 просмотров • 5 месяцев назад

ACE-Step-v1.5(2B) is a new open-source music AI model that runs locally in #ComfyUI :) * Only needs ~4GB VRAM * MIT licence * Done in 8 seconds! * Have a listen :p
2:22

ACE-Step-v1.5(2B) is a new open-source music AI model that runs locally in #ComfyUI :) * Only needs ~4GB VRAM * MIT licence * Done in 8 seconds! * Have a listen :p

Nerdy Rodent 🐀🤓💻🪐🚴

11,663 просмотров • 5 месяцев назад

ACE-Step 1.5. Excited for this model! Can't wait to test it - pro-grade music gen; full songs in &lt;10s @ RTX 3090; - works on &lt;4GB VRAM; - covers, repainting, &amp; vocal-to-BGM across 50+ languages; - outperforms commercial models.
0:59

ACE-Step 1.5. Excited for this model! Can't wait to test it - pro-grade music gen; full songs in &lt;10s @ RTX 3090; - works on &lt;4GB VRAM; - covers, repainting, &amp; vocal-to-BGM across 50+ languages; - outperforms commercial models.

Wildminder

14,886 просмотров • 5 месяцев назад

This AI is ridiculous - Makes studio grade songs in seconds - Free &amp; open source - Runs on low VRAM or just CPU Full Ace-Step 1.5 tutorial: God bless ACE Music
0:55

This AI is ridiculous - Makes studio grade songs in seconds - Free &amp; open source - Runs on low VRAM or just CPU Full Ace-Step 1.5 tutorial: God bless ACE Music

⚡AI Search⚡

15,105 просмотров • 5 месяцев назад

YuE -- Generate Songs from Lyrics on Your PC Locally. [NVIDIA GPU ONLY] Finally an Open Source Alternative to Suno/Udio you can run on your PC. Only 10GB VRAM needed! And you too, can run it on your own PC with this Gradio app, with 1 click. Watch this video (audio on)!
1:04

YuE -- Generate Songs from Lyrics on Your PC Locally. [NVIDIA GPU ONLY] Finally an Open Source Alternative to Suno/Udio you can run on your PC. Only 10GB VRAM needed! And you too, can run it on your own PC with this Gradio app, with 1 click. Watch this video (audio on)!

cocktail peanut

213,280 просмотров • 1 год назад

Run ACE-Step-v1.5 on your computer, with 1 click. Do we finally have a true FREE SUNO alternative? Try yourself and find out! I wrote a 1-click launcher for the official Gradio app. It's high quality, fast, open source. Might be the LTX-2 moment for song generation AI!
0:43

Run ACE-Step-v1.5 on your computer, with 1 click. Do we finally have a true FREE SUNO alternative? Try yourself and find out! I wrote a 1-click launcher for the official Gradio app. It's high quality, fast, open source. Might be the LTX-2 moment for song generation AI!

cocktail peanut

52,523 просмотров • 5 месяцев назад

We’re excited to release ACE-Step / ACE-Step-v1-3.5B, a fast, versatile DiT-based foundation model for music generation that runs on consumer-grade GPUs. With its simple architecture and low hardware requirements, it’s easy to fine-tune for various music tasks, empowering, not replacing, artists and creators. Think of it as a step toward music’s Stable Diffusion moment. ※ Trained on authorized, purchased data. Demo Page: Hugging Face: Git repo:
2:32

We’re excited to release ACE-Step / ACE-Step-v1-3.5B, a fast, versatile DiT-based foundation model for music generation that runs on consumer-grade GPUs. With its simple architecture and low hardware requirements, it’s easy to fine-tune for various music tasks, empowering, not replacing, artists and creators. Think of it as a step toward music’s Stable Diffusion moment. ※ Trained on authorized, purchased data. Demo Page: Hugging Face: Git repo:

ACE Studio

112,395 просмотров • 1 год назад

ACE-Step 1.5 just dropped in ComfyUI. Full songs in under 10 seconds. Less than 4GB VRAM. Open-source music generation just got serious.
0:27

ACE-Step 1.5 just dropped in ComfyUI. Full songs in under 10 seconds. Less than 4GB VRAM. Open-source music generation just got serious.

ComfyUI

75,112 просмотров • 5 месяцев назад

New short course on Fine-tuning LLMs! Many developers are moving beyond only prompting, to also fine-tuning LLMs - that is, taking a pre-trained model and training it further on your own data, which can deliver superior results inexpensively. In this course, Sharon Zhou ✈️ ICML, CEO of Lamini (disclosure: I’m a minor shareholder) shows you how to recognize when fine-tuning can be help, and how to train an open-source LLM on your own data. I hope you enjoy the course!
2:36

New short course on Fine-tuning LLMs! Many developers are moving beyond only prompting, to also fine-tuning LLMs - that is, taking a pre-trained model and training it further on your own data, which can deliver superior results inexpensively. In this course, Sharon Zhou ✈️ ICML, CEO of Lamini (disclosure: I’m a minor shareholder) shows you how to recognize when fine-tuning can be help, and how to train an open-source LLM on your own data. I hope you enjoy the course!

Andrew Ng

502,810 просмотров • 2 лет назад

Move over, Suno. There’s a new music model, definitely need to try it - HeartMuLa. - open-source; - LLM-based song gen, multi-modal inputs, section-specific style prompts; - tops Suno v5 &amp; Udio v1.5 on lyric clarity.
0:59

Move over, Suno. There’s a new music model, definitely need to try it - HeartMuLa. - open-source; - LLM-based song gen, multi-modal inputs, section-specific style prompts; - tops Suno v5 &amp; Udio v1.5 on lyric clarity.

Wildminder

45,666 просмотров • 5 месяцев назад

Fluxgym: Train FLUX LoRA LOCALLY with LOW VRAM FLUX LoRAs are super exciting, but there has not been an easy way to train them LOCALLY using LOW VRAM machines. Fluxgym is a Gradio app for training your own Flux LoRAs on your own 12G, 16G, 20G+ VRAM computer for free.
1:10

Fluxgym: Train FLUX LoRA LOCALLY with LOW VRAM FLUX LoRAs are super exciting, but there has not been an easy way to train them LOCALLY using LOW VRAM machines. Fluxgym is a Gradio app for training your own Flux LoRAs on your own 12G, 16G, 20G+ VRAM computer for free.

cocktail peanut

237,446 просмотров • 1 год назад

Run state-of-the-art RAG applications locally on your computer with ollama and use all the fantastic open-source models like llama3, msk's awesome models, or Command R from Cohere With Verba 1.0, we put it all in your hands 🙌 Get on board for a wild open-source ride, we're bridging any moat as open-source is here to win
0:29

Run state-of-the-art RAG applications locally on your computer with ollama and use all the fantastic open-source models like llama3, msk's awesome models, or Command R from Cohere With Verba 1.0, we put it all in your hands 🙌 Get on board for a wild open-source ride, we're bridging any moat as open-source is here to win

Philip Vollet

41,450 просмотров • 2 лет назад

100% Free Suno Alternative on Your PC with 1 Click. SongGeneration Studio, by @Bazed_X_, is a web UI that generates up to 4m30s high-quality songs with just 10GB VRAM, powered by Tencent AI Lab's SongGeneration model. And you can run it on your PC with 1 click.
1:01

100% Free Suno Alternative on Your PC with 1 Click. SongGeneration Studio, by @Bazed_X_, is a web UI that generates up to 4m30s high-quality songs with just 10GB VRAM, powered by Tencent AI Lab's SongGeneration model. And you can run it on your PC with 1 click.

cocktail peanut

287,631 просмотров • 6 месяцев назад

BOOM! Been testing this for quite a while and absolutely blown away. Meet Open Source and FREE NotaGen a symbolic music generation model aims to producing high-quality classical sheet music. It is pre-trained on 1.6M pieces of music, and then fine-tuned on approximately 9K high-quality classical compositions conditioned on ``period-composer-instrumentation'' prompts. Link:
0:44

BOOM! Been testing this for quite a while and absolutely blown away. Meet Open Source and FREE NotaGen a symbolic music generation model aims to producing high-quality classical sheet music. It is pre-trained on 1.6M pieces of music, and then fine-tuned on approximately 9K high-quality classical compositions conditioned on ``period-composer-instrumentation'' prompts. Link:

Brian Roemmele

30,357 просмотров • 1 год назад

M5 Max + ACE-Step v1.5 + MLX = 20 seconds to generate incredible music, commercial ready and locally generated 🤯 There is a native MLX backend in the repo, super easy to use! 🧵 Audio on!
1:27

M5 Max + ACE-Step v1.5 + MLX = 20 seconds to generate incredible music, commercial ready and locally generated 🤯 There is a native MLX backend in the repo, super easy to use! 🧵 Audio on!

Ivan Fioravanti ᯅ

15,919 просмотров • 3 месяцев назад

🚨 FASHN VTON v1.5 is now open source. Released in early 2025 and still widely used, this virtual try-on model generates photorealistic images from a person image and a garment image. Key points: • Pixel-space RGB generation, no VAE • Maskless inference, no person segmentation needed • 972M parameters, ~5s on H100, runs on consumer GPUs • Apache 2.0 licensed, first commercially usable open-source VTON Why open source? While the industry moves toward massive generalist models, FASHN VTON v1.5 proves a focused alternative. This is a production-grade virtual try-on model you can train for $5–10k, own, study, and extend. Built for researchers, developers, and fashion tech teams who want more than black-box APIs. More info in the comments.
0:53

🚨 FASHN VTON v1.5 is now open source. Released in early 2025 and still widely used, this virtual try-on model generates photorealistic images from a person image and a garment image. Key points: • Pixel-space RGB generation, no VAE • Maskless inference, no person segmentation needed • 972M parameters, ~5s on H100, runs on consumer GPUs • Apache 2.0 licensed, first commercially usable open-source VTON Why open source? While the industry moves toward massive generalist models, FASHN VTON v1.5 proves a focused alternative. This is a production-grade virtual try-on model you can train for $5–10k, own, study, and extend. Built for researchers, developers, and fashion tech teams who want more than black-box APIs. More info in the comments.

FASHN AI

19,111 просмотров • 5 месяцев назад

The day has arrived! New open source AI music generator even beats Suno Ace Step 1.5 XL full tutorial:
1:14

The day has arrived! New open source AI music generator even beats Suno Ace Step 1.5 XL full tutorial:

⚡AI Search⚡

14,245 просмотров • 3 месяцев назад

The era of Stable Intelligence is here 🤖 Tether’s QVAC Fabric just released the world’s first cross-platform 1-bit LLM LoRA fine-tuning framework. QVAC Fabric extends Microsoft's ultra-efficient BitNet architecture, allowing fine-tuning and inference of LLMs directly on your smartphone—no NVIDIA GPU/CUDA lock-in or expensive server required. The Breakthrough: - Total Sovereignty: LoRA fine-tune ultra-efficient models locally on any smartphone, including iPhones, Pixel phones, Samsung Galaxy phones and any desktop/laptop operating systems using Vulkan and Metal backends. - Extreme Efficiency: 1-bit architecture uses up to 90% less memory and runs up to 11x faster than traditional models. - Universal Access: What used to require a data center now runs on the chip in your pocket. Own your intelligence. The era of stable, local AI is here. 📱🧠 Read the full details on Hugging Face and grab the binaries to build on your own hardware.
3:09

The era of Stable Intelligence is here 🤖 Tether’s QVAC Fabric just released the world’s first cross-platform 1-bit LLM LoRA fine-tuning framework. QVAC Fabric extends Microsoft's ultra-efficient BitNet architecture, allowing fine-tuning and inference of LLMs directly on your smartphone—no NVIDIA GPU/CUDA lock-in or expensive server required. The Breakthrough: - Total Sovereignty: LoRA fine-tune ultra-efficient models locally on any smartphone, including iPhones, Pixel phones, Samsung Galaxy phones and any desktop/laptop operating systems using Vulkan and Metal backends. - Extreme Efficiency: 1-bit architecture uses up to 90% less memory and runs up to 11x faster than traditional models. - Universal Access: What used to require a data center now runs on the chip in your pocket. Own your intelligence. The era of stable, local AI is here. 📱🧠 Read the full details on Hugging Face and grab the binaries to build on your own hardware.

QVAC

108,499 просмотров • 3 месяцев назад

Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.
2:01

Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.

Arcee.ai

722,452 просмотров • 3 месяцев назад