This ComfyUI workflow focuses on comparing the ACE-Step 1.5 Music Generation model with its smaller variants. The primary objective is to evaluate the enhanced audio understanding and composition capabilities of the 4B model version. By using a text prompt to generate music, users can explore the differences in audio quality, complexity, and fidelity between the models. The workflow employs various nodes such as KSampler, VAEDecodeAudio, and TextEncodeAceStepAudio1.5 to facilitate this comparison. Key differences include the model's ability to handle more intricate compositions and produce richer audio textures, which are particularly noticeable when generating longer or more complex musical pieces.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
GET https://comfy.org/workflows/download/ef36ec96537f.jsonFetching workflow JSON…
Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
# Install (beta)
pip install comfy-sdk # Python
npm i @comfyorg/sdk # TypeScript
# Run "ACE-Step 1.5 Music Generation (4B LLM )" (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
# This workflow, exported in API format (see note below)
wf = client.workflows.from_file("audio_ace_step_1_5_split_4b_api.json")
job = client.run(wf)
for output in job.get_outputs("107"): # SaveAudioMP3
output.to_file(output.name)The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key
FAQ
