Datasets:
File size: 3,613 Bytes
2be7bd4 69defd6 2be7bd4 69defd6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 |
---
license: apache-2.0
tags:
- music
task_categories:
- audio-to-audio
---
## 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 |