lukasz-staniszewski / ace-step-tokemb-directions

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Model's Last Updated: May 19 2026

Introduction of ace-step-tokemb-directions

Model Details of ace-step-tokemb-directions

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

Per-concept T5-embedding direction vectors (one .pt file per concept). At inference, TokEmbController adds alpha * direction to the concept token's hidden state in the neutral prompt embedding before running the diffusion process.

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

Concepts included
  • female_vocals_direction.pt
  • mood_direction.pt
  • piano_direction.pt
  • tempo_direction.pt
Quickstart
from src.steering import SteerableACEModel, get_method
import steering.tokemb  # registers "tokemb"

model = SteerableACEModel(device="cuda")
model.pipeline.load()
ctrl = get_method("tokemb").from_pretrained(
    "lukasz-staniszewski/ace-step-tokemb-directions", alpha=1.0, concept="piano",
)
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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Url of ace-step-tokemb-directions

Provider of ace-step-tokemb-directions huggingface.co

lukasz-staniszewski
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