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Update README.md
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README.md
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---
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license:
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---
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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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---
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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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## 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
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