#
## Model Introduction
This model is trained using the [Civision/model training](https://modelscope.ai/civision/modelTraining) environment and computing resources provided by ModelScope.
* Model Type: LoRA
* Base Model: [ACE-Step/acestep-v15-xl-sft](https://modelscope.ai/models/ACE-Step/acestep-v15-xl-sft)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：2
* Total training steps：4000
* License: Apache-2.0
## Inference Code
Install [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio):
```bash
pip install diffsynth
```
Inference:
```python
from diffsynth.pipelines.ace_step import AceStepPipeline, ModelConfig
from diffsynth.utils.data.audio import save_audio
import torch
pipe = AceStepPipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="ACE-Step/acestep-v15-xl-sft", origin_file_pattern="model-*.safetensors"),
ModelConfig(model_id="ACE-Step/Ace-Step1.5", origin_file_pattern="Qwen3-Embedding-0.6B/model.safetensors"),
ModelConfig(model_id="ACE-Step/Ace-Step1.5", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
text_tokenizer_config=ModelConfig(model_id="ACE-Step/Ace-Step1.5", origin_file_pattern="Qwen3-Embedding-0.6B/"),
silence_latent_config=ModelConfig(model_id="ACE-Step/Ace-Step1.5", origin_file_pattern="acestep-v15-turbo/silence_latent.pt"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="nik_thecreeator/thethethemusicsicsiccaca", origin_file_pattern="thethethemusicsicsiccaca_c1-st4000.safetensors"))
prompt = "An explosive, high-energy pop-rock track with a strong anime theme song feel."
lyrics = "I Love you. Forever. I Love you. Forever."
audio = pipe(
prompt=prompt,
lyrics=lyrics,
duration=160,
bpm=100,
keyscale="B minor",
timesignature="4",
vocal_language="zh",
seed=1,
num_inference_steps=50,
cfg_scale=4.0,
)
save_audio(audio, pipe.vae.sampling_rate, "music.wav")
```