Skip to content

ACE-Step 1.5 XL = Free Music Generation in ComfyUI!

By Nerdy Rodent

22 min video·en··16544 views

This is an AI-generated summary of ACE-Step 1.5 XL = Free Music Generation in ComfyUI! — a 22 min YouTube video by Nerdy Rodent, published April 11, 2026. It condenses the full transcript into 10 key takeaways with clickable timestamps.

Summary

This video demonstrates and compares the new A-step XL models within Comfy UI, showcasing workflow enhancements like the Adaptive Projected Guidance node and various experimental techniques for generating and remixing AI-created music and lyrics.

Key Points

  • The video introduces new A-step XL models, which are larger and require at least 12GB of VRAM, and demonstrates their use within Comfy UI workflows. 
  • The workflow utilizes the "rodent method" of organizing nodes into colorful groups for easier understanding and updates, encouraging users to copy elements for their own projects. 
  • A crucial addition to A-step workflows is the Adaptive Projected Guidance (APG) node, which significantly improves audio quality, especially with SFT or base models, and can be easily toggled with a bypass switch. 
  • The workflow integrates AI prompting using LLMs like Ollama with Gemma 4E4B to generate or tag song lyrics and tags, noting to disable flash attention for Gemma 4 to avoid slowdowns. 
  • Comparative tests demonstrate that the new XL models produce slightly higher quality and cleaner audio compared to previous turbo and SFT models, though personal testing is encouraged. 
  • The APG node is shown to be essential for good audio quality, as disabling it results in significantly degraded output, even with adjusted temperature and top P settings. 
  • With the APG node enabled, users can achieve good results with fewer CFG steps (e.g., around 20 steps instead of 70), leading to quicker song generation. 
  • The video explores advanced experimentation techniques, including generating a second set of conditioning with different settings and using latent blending, resamplers, and conditioning average nodes to create varied remixes. 
  • The resampler often adds interesting variations like extra vocals and harmonies, while the conditioning average node tends to make the first set of conditionings dominate. 
  • The workflow allows for creative mixing of AI-generated content (lyrics, tags, melody) with user-defined elements, demonstrating how to blend different musical styles and lyrical themes. 
ACE-Step 1.5 XL = Free Music Generation in ComfyUI!

ACE-Step 1.5 XL = Free Music Generation in ComfyUI!

This video demonstrates and compares the new A-step XL models within Comfy UI, showcasing workflow enhancements like the Adaptive Projected Guidance node and various experimental techniques for generating and remixing AI-created music and lyrics.

Key Points

The video introduces new A-step XL models, which are larger and require at least 12GB of VRAM, and demonstrates their use within Comfy UI workflows.
The workflow utilizes the "rodent method" of organizing nodes into colorful groups for easier understanding and updates, encouraging users to copy elements for their own projects.
A crucial addition to A-step workflows is the Adaptive Projected Guidance (APG) node, which significantly improves audio quality, especially with SFT or base models, and can be easily toggled with a bypass switch.
The workflow integrates AI prompting using LLMs like Ollama with Gemma 4E4B to generate or tag song lyrics and tags, noting to disable flash attention for Gemma 4 to avoid slowdowns.
Comparative tests demonstrate that the new XL models produce slightly higher quality and cleaner audio compared to previous turbo and SFT models, though personal testing is encouraged.
The APG node is shown to be essential for good audio quality, as disabling it results in significantly degraded output, even with adjusted temperature and top P settings.
With the APG node enabled, users can achieve good results with fewer CFG steps (e.g., around 20 steps instead of 70), leading to quicker song generation.
The video explores advanced experimentation techniques, including generating a second set of conditioning with different settings and using latent blending, resamplers, and conditioning average nodes to create varied remixes.
The resampler often adds interesting variations like extra vocals and harmonies, while the conditioning average node tends to make the first set of conditionings dominate.
The workflow allows for creative mixing of AI-generated content (lyrics, tags, melody) with user-defined elements, demonstrating how to blend different musical styles and lyrical themes.
Summarize any video — free
Summarizer.tube
Copy All
Share Link
Bookmark

Summarize any YouTube video, free

You just read an AI summary of this video. Paste any other YouTube link and get the key points with clickable timestamps in seconds — no signup, 5 free a day.

More Resources

More Summaries

23 min

PoE 3.29 - Ice Crash Ignite Chieftain - Build Guide

Crouching_Tunaen

This video details an "Ice Crash Ignite Chieftain" build for Path of Exile's 3.29 league, highlighting its overpowered status, insane clear speed, strong single-target damage, and robust defenses as a

55 min

Claude Code built me a $273/Day online directory

Greg Isenbergen

This video provides a comprehensive guide on building profitable online directories with minimal investment and effort, leveraging AI tools like Claude Code and Crawl for AI to automate data acquisiti

6 min

GSP teaches Lex Fridman how to street fight

Lex Fridmanen

Georges St-Pierre shares essential self-defense tactics for street fights, emphasizing the critical role of surprise, striking vulnerable points, and strategic responses to various threats, including