lukasz-staniszewski / ace-step-tokemb-tempo

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Model's Last Updated: August 13 2026

Introduction of ace-step-tokemb-tempo

Model Details of ace-step-tokemb-tempo

Token-Embedding (TokEmb) Direction — tempo (ACE-Step)

Per-concept T5-embedding direction vector for steering ACE-Step audio music generation toward the tempo concept. At inference, TokEmbController adds alpha * direction to the concept token's hidden state in the neutral prompt embedding before driving the diffusion process.

The .pt file is a dict with keys: direction (Tensor[hidden_dim]), concept (str), hidden_dim (int).

Quickstart
from src.steering import SteerableACEModel, get_method
import src.steering.methods.tokemb  # registers "tokemb"

model = SteerableACEModel(device="cuda")
model.pipeline.load()
ctrl = get_method("tokemb").from_pretrained(
    "lukasz-staniszewski/ace-step-tokemb-tempo", alpha=1.0,
)
with model.steer(ctrl):
    audio = model.generate(prompt="instrumental music", lyrics="[inst]",
                            audio_duration=10.0, infer_step=30,
                            manual_seed=0, return_type="audio")

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lukasz-staniszewski
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