metadata
library_name: audio-interv
tags:
- ace-step
- activation-steering
- audio
- austeer
- diffusion
- interpretability
- music
- steering
- tempo
Steering Vectors — tempo (ACE-Step)
Steering vectors for the tempo concept on ACE-Step, computed via contrastive activation addition (CAA).
Quickstart
from src.steering import SteerableACEModel
from steering.caa import CAAController
model = SteerableACEModel(device="cuda")
ctrl = CAAController.from_pretrained("lukasz-staniszewski/ace-step-austeer-tempo-all", alpha=20)
with model.steer(ctrl):
audio = model.generate(prompt="instrumental music", seed=0)
Generation config
{
"method": "austeer",
"concept": "tempo",
"lyrics": "[inst]",
"layers": "all",
"layers_collected": [
"tf0",
"tf1",
"tf2",
"tf3",
"tf4",
"tf5",
"tf6",
"tf7",
"tf8",
"tf9",
"tf10",
"tf11",
"tf12",
"tf13",
"tf14",
"tf15",
"tf16",
"tf17",
"tf18",
"tf19",
"tf20",
"tf21",
"tf22",
"tf23"
],
"num_inference_steps": 30,
"audio_duration": 30.0,
"seed": 10,
"guidance_scale": 5.0,
"guidance_scale_text": 0.0,
"guidance_scale_lyric": 0.0,
"guidance_interval": 1.0,
"guidance_interval_decay": 0.0
}