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--- |
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license: apache-2.0 |
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tags: |
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- music |
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task_categories: |
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- audio-to-audio |
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--- |
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## What is this |
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A dataset of 50 instrumental music tracks generated with the DiffRhythm model, using 10 CC0-licensed instrument samples from OEPN Game Art. |
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Paper: https://huggingface.co/papers/2503.01183 |
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Project page: https://nzqian.github.io/DiffRhythm/ |
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## Models |
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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. |
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The exact architecture (base or VAE) of the DiffRhythm model used is not explicitly specified in the original source. |
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## Input Audios |
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All input audio are licensed under CC0 |
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you can find audio infos from |
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https://opengameart.org/ |
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## Generated Audios |
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generated default setting without lyrics |
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## License |
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DiffRhythm is under Apache2.0. |
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This audio and scripts is under same license. |
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## Scripts |
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*From command line* |
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``` |
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import os |
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import shutil |
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import time |
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from dotenv import load_dotenv |
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from smolagents import Tool |
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load_dotenv() |
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token = os.getenv("HF_TOKEN") |
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music_generation_tool = Tool.from_space( |
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"{Your Duplicated Space}/DiffRhythm", |
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name="DiffRhythm", |
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description="generate music", |
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token=token, |
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api_name="/infer_music", # usually start with / |
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) |
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def generate_music(prompt, output): |
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result = music_generation_tool("", prompt) |
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print(result, output) |
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copy_file(result, output) |
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def copy_file(source, destination): |
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try: |
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shutil.copy2(source, destination) |
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print(f"File '{source}' copied to '{destination}' successfully.") |
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except FileNotFoundError: |
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print(f"Error: Source file '{source}' not found.") |
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except PermissionError: |
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print(f"Error: Permission denied while copying to '{destination}'.") |
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except Exception as e: |
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print(f"An unexpected error occurred: {e}") |
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def get_not_exist_filename(filename, always_add_number=False): |
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base, ext = os.path.splitext(filename) |
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if not always_add_number: |
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if not os.path.exists(filename): |
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return filename |
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counter = 1 |
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while True: |
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new_filename = f"{base}_{counter}{ext}" |
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if not os.path.exists(new_filename): |
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return new_filename |
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counter += 1 |
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ouput_dir = "musics" |
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max_iteration = 5 |
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os.makedirs(ouput_dir, exist_ok=True) |
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print("start") |
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input_audios = [ |
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"funkydiscobeatstoboogieslashwoogieto.wav", |
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] |
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for input in input_audios: |
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try: |
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for i in range(max_iteration): |
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generate_music( |
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input, |
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get_not_exist_filename( |
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os.path.join(ouput_dir, input.replace(".mp3", ".wav")), True |
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), |
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) |
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except Exception as e: |
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print(f"sleep {e}") |
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time.sleep(3) |
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``` |
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*Groq version space code changed* |
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``` |
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def R1_infer1(theme, tags_gen, language): |
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try: |
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client = OpenAI(api_key=os.getenv('GROQ_API_KEY'), base_url = "https://api.groq.com/openai/v1") |
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response = client.chat.completions.create( |
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model="llama-3.3-70b-versatile", |
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def R1_infer2(tags_lyrics, lyrics_input): |
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client = OpenAI(api_key=os.getenv('GROQ_API_KEY'), base_url = "https://api.groq.com/openai/v1") |
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response = client.chat.completions.create( |
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model="llama-3.3-70b-versatile", |
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``` |
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## References |
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[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 |
