Akjava/diffrhythm-instrument-cc0-oepngamearg-10x5-generated

What is this

A dataset of 50 instrumental music tracks generated with the DiffRhythm model, using 10 CC0-licensed instrument samples from OEPN Game Art.

Paper: https://huggingface.co/papers/2503.01183 Project page: https://nzqian.github.io/DiffRhythm/

Models

This dataset was created by running the DiffRhythm model on 2025 Mar 05 using a copy of the space available at https://huggingface.co/spaces/ASLP-lab/DiffRhythm. The exact architecture (base or VAE) of the DiffRhythm model used is not explicitly specified in the original source.

Input Audios

All input audio are licensed under CC0 you can find audio infos from https://opengameart.org/

Generated Audios

generated default setting without lyrics

License

DiffRhythm is under Apache2.0. This audio and scripts is under same license.

Scripts

From command line

import os
import shutil
import time

from dotenv import load_dotenv
from smolagents import Tool

load_dotenv()
token = os.getenv("HF_TOKEN")
music_generation_tool = Tool.from_space(
    "{Your Duplicated Space}/DiffRhythm",
    name="DiffRhythm",
    description="generate music",
    token=token,
    api_name="/infer_music",  # usually start with /
)


def generate_music(prompt, output):
    result = music_generation_tool("", prompt)
    print(result, output)
    copy_file(result, output)


def copy_file(source, destination):
    try:
        shutil.copy2(source, destination)
        print(f"File '{source}' copied to '{destination}' successfully.")
    except FileNotFoundError:
        print(f"Error: Source file '{source}' not found.")
    except PermissionError:
        print(f"Error: Permission denied while copying to '{destination}'.")
    except Exception as e:
        print(f"An unexpected error occurred: {e}")


def get_not_exist_filename(filename, always_add_number=False):
    base, ext = os.path.splitext(filename)

    if not always_add_number:
        if not os.path.exists(filename):
            return filename

    counter = 1
    while True:
        new_filename = f"{base}_{counter}{ext}"
        if not os.path.exists(new_filename):
            return new_filename
        counter += 1


ouput_dir = "musics"
max_iteration = 5
os.makedirs(ouput_dir, exist_ok=True)
print("start")

input_audios = [
    "funkydiscobeatstoboogieslashwoogieto.wav",
]

for input in input_audios:
    try:
        for i in range(max_iteration):
            generate_music(
                input,
                get_not_exist_filename(
                    os.path.join(ouput_dir, input.replace(".mp3", ".wav")), True
                ),
            )

    except Exception as e:
        print(f"sleep {e}")
        time.sleep(3)

Groq version space code changed

def R1_infer1(theme, tags_gen, language):
    try:
        client = OpenAI(api_key=os.getenv('GROQ_API_KEY'), base_url = "https://api.groq.com/openai/v1")

        response = client.chat.completions.create(
            model="llama-3.3-70b-versatile",

def R1_infer2(tags_lyrics, lyrics_input):
    client = OpenAI(api_key=os.getenv('GROQ_API_KEY'), base_url = "https://api.groq.com/openai/v1")

    response = client.chat.completions.create(
        model="llama-3.3-70b-versatile",

References

[1] Ziqian Ning, Huakang Chen, Yuepeng Jiang, Chunbo Hao, Guobin Ma, Shuai Wang, Jixun Yao, Lei Xie. DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion. arXiv preprint arXiv:2503.01183 (2025). Available from: https://arxiv.org/abs/2503.01183