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本站于 2026-10-19 补核;官方发布日期为 2026-10-17。

出处:DeepSeek 官方文档 · 更新日志官方

本站于 2026-10-19 补核;官方发布日期为 2026-10-14。

出处:xAI · API Release Notes官方

本站于 2026-10-19 补核;官方发布日期为 2026-10-13。

出处:Gemini API · Release notes官方

开源项目解析

ACE-Step 1.5

开源音乐生成模型。XL 这一支用 40 亿参数的 DiT 解码器,分基础 / 微调 / 快速三个变体。

本地能出整首12GB 显存起MIT 无附加条件
MIT 可商用★ 13.8k 1024 星/月最后更新 2026-10-11 · 距核验日 0 个月仓库 ↗

读懂层

2 张 · 架构图 / 时序图

架构图东西怎么摆

Optimization

Model Injection Logic

AceStepConditionGenerationModel

inject_lora_into_dit

inject_lokr_into_dit

FixedLoRAModule._inject_lora

build_optimizer (AdamW/8bit)

build_scheduler (Cosine/Linear)

DeepWiki · 抓取 2026-08-17 · 核验 2026-08-17

时序图一次调用经过什么
"Batch Queue(batch_queue.py)""generate_music(inference.py)""generate_with_progress(generation_progress.py)""generate_with_batch_management(batch_management_wrapper.py)""Gradio Interface"Stores seeds, audio_paths, and paramsClick "Generate"Start Streaming GeneratorCall inference pipelinePartial Tensors / AudioYield UI Updates (46 core outputs)Update Playback/Waveformsstore_batch_in_queue()Final Batch Navigation Update

DeepWiki · 抓取 2026-08-17 · 核验 2026-08-17

它管哪几个决定

音乐与音效描述生成音乐
0/10 家有官方说法

自持能力

动手层

还没做。装它要过哪几关、改哪个文件能改什么、坑在代码哪一处 —— 这三项要读源码,尚未完成。

教程

没找到官方口径的教程 —— 官方只给了 README。

项目自述

以下是仓库 README 的开头部分(原文引用,抓取 2026-08-17)。读全文 ↗

ACE-Step 1.5
Pushing the Boundaries of Open-Source Music Generation

    ACEMusic |
    Project |
    Hugging Face |
    ModelScope |
    Space Demo |
    Discord |
    Technical Report |
    Awesome ACE-Step

      

📰 News

> 🎵 Want a faster & more stable experience? Try acemusic.ai — 100% free!

- [2026-04-02] 🎉 ACE-Step 1.5 XL (4B DiT) Released! — We introduce the XL series with a 4B-parameter DiT decoder for higher audio quality. Three variants available: xl-base, xl-sft, xl-turbo. Requires ≥12GB VRAM (with offload), ≥20GB recommended. All LM models fully compatible. See Model Zoo for details.

Table of Contents

- 📰 News
- ✨ Features
- ⚡ Quick Start
- 🚀 Launch Scripts
- 📚 Documentation
- 📖 Tutorial
- 🏗️ Architecture
- 🦁 Model Zoo
- 🔬 Benchmark

📝 Abstract
🚀 We present ACE-Step v1.5, a highly efficient open-source music foundation model that brings commercial-grade generation to consumer hardware. On commonly used evaluation metrics, ACE-Step v1.5 achieves quality beyond most commercial music models while remaining extremely fast—under 2 seconds per full song on an A100 and under 10 seconds on an RTX 3090. The model runs locally with less than 4GB of VRAM, and supports lightweight personalization: users can train a LoRA from just a few songs to capture their own style.

🌉 At its core lies a novel hybrid architecture where the Language Model (LM) functions as an omni-capable planner: it transforms simple user queries into comprehensive song blueprints—scaling from short loops to 10-minute compositions—while synthesizing metadata, lyrics, and captions via Chain-of-Thought to guide the Diffusion Transformer (DiT). ⚡ Uniquely, this alignment is achieved through intrinsic reinforcement learning relying solely on the model's internal mechanisms, thereby eliminating the biases inherent in external reward models or human preferences. 🎚️

🔮 Beyond standard synthesis, ACE-Step v1.5 unifies precise stylistic control with versatile editing capabilities—such as cover generation, repainting, and vocal-to-BGM conversion—while maintaining strict adherence to prompts across 50+ languages. This paves the way for powerful tools that seamlessly integrate into the creative workflows of music artists, producers, and content creators. 🎸

✨ Features

⚡ Performance
- ✅ Ultra-Fast Generation — Under 2s per full song on A100, under 10s on RTX 3090 (0.5s to 10s on A100 depending on think mode & diffusion steps)
- ✅ Flexible Duration — Supports 10 seconds to 10 minutes (600s) audio generation
- ✅ Batch Generation — Generate up to 8 songs simultaneously

🎵 Generation Quality
- ✅ Commercial-Grade Output — Quality beyond most commercial music models (between Suno v4.5 and Suno v5)
- ✅ Rich Style Support — 1000+ instruments and styles with fine-grained timbre description
- ✅ Multi-Language Lyrics — Supports 50+ languages with lyrics prompt for structure & style control

🎛️ Versatility & Control

| Feature | Description |
| ✅ Reference Audio Input | Use reference audio to guide generation style |
| ✅ Cover Generation | Create covers from existing audio |
| ✅ Repaint & Edit | Selective local audio editing and regeneration |
| ✅ Track Separation

……(后略,见原文)

判断

优势

  • MIT,没有地区与规模限制 —— 素材侧少见的干净授权
  • 本地就能出整首带结构的曲子,背景音乐这一格通了
  • 一直在维护,版本迭代快

局限

  • 12GB 显存起步,还得开卸载
  • 只做音乐 —— 脚步、开门、打击这类音效它不管
  • 生成的曲子版权归属要按你所在地的法规自己判断

不适用

要一套游戏音效 —— 它是音乐模型,不是音效模型。

同管这些决定的其它项目

github README + DeepWiki · 核验 2026-10-19 | 判断栏可报错。