ACE-Step 1.5 XL = Free Music Generation in ComfyUI!
By Nerdy Rodent
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.
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