Model Releases
Ace Step 1.5 XL ComfyUI automation workflow without lama for generating random tags using qwen, generate song and then give it a rating by using waveform analysis
This is a ComfyUI automation workflow for the ACE-Step 1.5 XL music generation model that uses Qwen (a language model text encoder) to randomly generate music tags/captions without requiring LAMA, ...
This is a ComfyUI automation workflow for the ACE-Step 1.5 XL music generation model that uses Qwen (a language model text encoder) to randomly generate music tags/captions without requiring LAMA, then feeds those tags into ACE-Step 1.5 XL to synthesize a song. The XL (4B) variant offers higher audio quality than the standard 2B model, requiring approximately 9GB VRAM for weights and at least 12GB VRAM total with offload and quantization. A distinguishing feature of the workflow is its post-generation step: the produced audio is evaluated and assigned a quality rating via waveform analysis, enabling automated filtering or ranking of generated songs without manual listening.
Related
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- Flux2 Klein 2 stage upscale?
- Control ComfyUI with Claude Code https://x.com/i/broadcasts/1yxBeMkeYOjJN
- Qwen 3.6 Plus on AI Gateway
Source: model-releases