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import gradio as gr |
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from openai import OpenAI |
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import requests |
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import json |
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import torch |
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import torchaudio |
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from einops import rearrange |
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import argparse |
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import json |
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import os |
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import spaces |
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from tqdm import tqdm |
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import random |
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import numpy as np |
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import sys |
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import base64 |
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from diffrhythm.infer.infer_utils import ( |
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get_reference_latent, |
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get_lrc_token, |
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get_style_prompt, |
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prepare_model, |
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get_negative_style_prompt |
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) |
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from diffrhythm.infer.infer import inference |
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MAX_SEED = np.iinfo(np.int32).max |
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device='cuda' |
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cfm, tokenizer, muq, vae = prepare_model(device) |
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cfm = torch.compile(cfm) |
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@spaces.GPU |
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def infer_music(lrc, ref_audio_path, seed=42, randomize_seed=False, steps=32, file_type='wav', max_frames=2048, device='cuda'): |
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if randomize_seed: |
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seed = random.randint(0, MAX_SEED) |
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torch.manual_seed(seed) |
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sway_sampling_coef = -1 if steps < 32 else None |
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lrc_prompt, start_time = get_lrc_token(lrc, tokenizer, device) |
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style_prompt = get_style_prompt(muq, ref_audio_path) |
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negative_style_prompt = get_negative_style_prompt(device) |
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latent_prompt = get_reference_latent(device, max_frames) |
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generated_song = inference(cfm_model=cfm, |
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vae_model=vae, |
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cond=latent_prompt, |
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text=lrc_prompt, |
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duration=max_frames, |
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style_prompt=style_prompt, |
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negative_style_prompt=negative_style_prompt, |
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steps=steps, |
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sway_sampling_coef=sway_sampling_coef, |
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start_time=start_time, |
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file_type=file_type |
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) |
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return generated_song |
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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('HS_DP_API'), base_url = "https://ark.cn-beijing.volces.com/api/v3") |
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llm_prompt = """ |
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请围绕"{theme}"主题生成一首符合"{tags}"风格的语言为{language}的完整歌词。严格遵循以下要求： |
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### **强制格式规则** |
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1. **仅输出时间戳和歌词**，禁止任何括号、旁白、段落标记（如副歌、间奏、尾奏等注释）。 |
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2. 每行格式必须为 `[mm:ss.xx]歌词内容`，时间戳与歌词间无空格，歌词内容需完整连贯。 |
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3. 时间戳需自然分布，**第一句歌词起始时间不得为 [00:00.00]**，需考虑前奏空白。 |
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### **内容与结构要求** |
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1. 歌词应富有变化，使情绪递进，整体连贯有层次感。**每行歌词长度应自然变化**，切勿长度一致，导致很格式化。 |
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2. **时间戳分配应根据歌曲的标签、歌词的情感、节奏来合理推测**，而非机械地按照歌词长度分配。 |
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3. 间奏/尾奏仅通过时间空白体现（如从 [02:30.00] 直接跳至 [02:50.00]），**无需文字描述**。 |
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### **负面示例（禁止出现）** |
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- 错误：[01:30.00](钢琴间奏) |
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- 错误：[02:00.00][副歌] |
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- 错误：空行、换行符、注释 |
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""" |
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response = client.chat.completions.create( |
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model="ep-20250304144033-nr9wl", |
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messages=[ |
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{"role": "system", "content": "You are a professional musician who has been invited to make music-related comments."}, |
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{"role": "user", "content": llm_prompt.format(theme=theme, tags=tags_gen, language=language)}, |
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], |
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stream=False |
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) |
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info = response.choices[0].message.content |
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return info |
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except requests.exceptions.RequestException as e: |
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print(f'请求出错: {e}') |
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return {} |
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def R1_infer2(tags_lyrics, lyrics_input): |
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client = OpenAI(api_key=os.getenv('HS_DP_API'), base_url = "https://ark.cn-beijing.volces.com/api/v3") |
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llm_prompt = """ |
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{lyrics_input}这是一首歌的歌词,每一行是一句歌词,{tags_lyrics}是我希望这首歌的风格，我现在想要给这首歌的每一句歌词打时间戳得到LRC，我希望时间戳分配应根据歌曲的标签、歌词的情感、节奏来合理推测，而非机械地按照歌词长度分配。第一句歌词的时间戳应考虑前奏长度，避免歌词从 `[00:00.00]` 直接开始。严格按照 LRC 格式输出歌词，每行格式为 `[mm:ss.xx]歌词内容`。最后的结果只输出LRC,不需要其他的解释。 |
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""" |
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response = client.chat.completions.create( |
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model="ep-20250304144033-nr9wl", |
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messages=[ |
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{"role": "system", "content": "You are a professional musician who has been invited to make music-related comments."}, |
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{"role": "user", "content": llm_prompt.format(lyrics_input=lyrics_input, tags_lyrics=tags_lyrics)}, |
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], |
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stream=False |
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) |
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info = response.choices[0].message.content |
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return info |
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css = """ |
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/* 固定文本域高度并强制滚动条 */ |
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.lyrics-scroll-box textarea { |
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height: 405px !important; /* 固定高度 */ |
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max-height: 500px !important; /* 最大高度 */ |
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overflow-y: auto !important; /* 垂直滚动 */ |
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white-space: pre-wrap; /* 保留换行 */ |
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line-height: 1.5; /* 行高优化 */ |
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} |
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.gr-examples { |
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background: transparent !important; |
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border: 1px solid #e0e0e0 !important; |
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border-radius: 8px; |
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margin: 1rem 0 !important; |
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padding: 1rem !important; |
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} |
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""" |
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with gr.Blocks(css=css) as demo: |
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gr.HTML(f""" |
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<div style="flex: 1; text-align: center;"> |
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<div style="font-size: 2em; font-weight: bold; text-align: center; margin-bottom: 5px"> |
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Di♪♪Rhythm (谛韵) |
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</div> |
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<div style="display:flex; justify-content: center; column-gap:4px;"> |
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<a href="https://arxiv.org/abs/2503.01183"> |
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<img src='https://img.shields.io/badge/Arxiv-Paper-blue'> |
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</a> |
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<a href="https://github.com/ASLP-lab/DiffRhythm"> |
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<img src='https://img.shields.io/badge/GitHub-Repo-green'> |
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</a> |
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<a href="https://aslp-lab.github.io/DiffRhythm.github.io/"> |
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<img src='https://img.shields.io/badge/Project-Page-brown'> |
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</a> |
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</div> |
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</div> |
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""") |
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with gr.Tabs() as tabs: |
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with gr.Tab("Music Generate", id=0): |
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with gr.Row(): |
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with gr.Column(): |
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lrc = gr.Textbox( |
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label="Lrc", |
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placeholder="Input the full lyrics", |
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lines=12, |
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max_lines=50, |
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elem_classes="lyrics-scroll-box", |
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value="""[00:10.00]Moonlight spills through broken blinds\n[00:13.20]Your shadow dances on the dashboard shrine\n[00:16.85]Neon ghosts in gasoline rain\n[00:20.40]I hear your laughter down the midnight train\n[00:24.15]Static whispers through frayed wires\n[00:27.65]Guitar strings hum our cathedral choirs\n[00:31.30]Flicker screens show reruns of June\n[00:34.90]I'm drowning in this mercury lagoon\n[00:38.55]Electric veins pulse through concrete skies\n[00:42.10]Your name echoes in the hollow where my heartbeat lies\n[00:45.75]We're satellites trapped in parallel light\n[00:49.25]Burning through the atmosphere of endless night\n[01:00.00]Dusty vinyl spins reverse\n[01:03.45]Our polaroid timeline bleeds through the verse\n[01:07.10]Telescope aimed at dead stars\n[01:10.65]Still tracing constellations through prison bars\n[01:14.30]Electric veins pulse through concrete skies\n[01:17.85]Your name echoes in the hollow where my heartbeat lies\n[01:21.50]We're satellites trapped in parallel light\n[01:25.05]Burning through the atmosphere of endless night\n[02:10.00]Clockwork gears grind moonbeams to rust\n[02:13.50]Our fingerprint smudged by interstellar dust\n[02:17.15]Velvet thunder rolls through my veins\n[02:20.70]Chasing phantom trains through solar plane\n[02:24.35]Electric veins pulse through concrete skies\n[02:27.90]Your name echoes in the hollow where my heartbeat lies""" |
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) |
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audio_prompt = gr.Audio(label="Audio Prompt", type="filepath", value="./src/prompt/default.wav") |
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with gr.Column(): |
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with gr.Accordion("Best Practices Guide", open=True): |
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gr.Markdown(""" |
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1. **Lyrics Format Requirements** |
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- Each line must follow: `[mm:ss.xx]Lyric content` |
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- Example of valid format: |
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``` |
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[00:10.00]Moonlight spills through broken blinds |
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[00:13.20]Your shadow dances on the dashboard shrine |
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``` |
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2. **Generation Duration Limits** |
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- Current version supports maximum **95 seconds** of music generation |
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- Total timestamps should not exceed 01:35.00 (95 seconds) |
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3. **Audio Prompt Requirements** |
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- Reference audio should be ≥ 1 second, audio >10 seconds will be randomly clipped into 10 seconds |
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- For optimal results, the 10-second clips should be carefully selected |
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- Shorter clips may lead to incoherent generation |
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4. **Supported Languages** |
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- Chinese and English |
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- More languages comming soon |
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""") |
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lyrics_btn = gr.Button("Generate", variant="primary") |
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audio_output = gr.Audio(label="Audio Result", type="filepath", elem_id="audio_output") |
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with gr.Accordion("Advanced Settings", open=False): |
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seed = gr.Slider( |
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label="Seed", |
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minimum=0, |
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maximum=MAX_SEED, |
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step=1, |
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value=0, |
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) |
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True) |
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steps = gr.Slider( |
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minimum=10, |
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maximum=100, |
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value=32, |
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step=1, |
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label="Diffusion Steps", |
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interactive=True, |
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elem_id="step_slider" |
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) |
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file_type = gr.Dropdown(["wav", "mp3", "ogg"], label="Output Format", value="wav") |
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gr.Examples( |
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examples=[ |
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["./src/prompt/pop_cn.wav"], |
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["./src/prompt/pop_en.wav"], |
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["./src/prompt/rock_cn.wav"], |
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["./src/prompt/rock_en.wav"], |
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["./src/prompt/country_cn.wav"], |
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["./src/prompt/country_en.wav"], |
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["./src/prompt/classic_cn.wav"], |
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["./src/prompt/classic_en.wav"], |
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["./src/prompt/jazz_cn.wav"], |
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["./src/prompt/jazz_en.wav"], |
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["./src/prompt/default.wav"] |
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], |
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inputs=[audio_prompt], |
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label="Audio Examples", |
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examples_per_page=11, |
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elem_id="audio-examples-container" |
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) |
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gr.Examples( |
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examples=[ |
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["""[00:10.00]Moonlight spills through broken blinds\n[00:13.20]Your shadow dances on the dashboard shrine\n[00:16.85]Neon ghosts in gasoline rain\n[00:20.40]I hear your laughter down the midnight train\n[00:24.15]Static whispers through frayed wires\n[00:27.65]Guitar strings hum our cathedral choirs\n[00:31.30]Flicker screens show reruns of June\n[00:34.90]I'm drowning in this mercury lagoon\n[00:38.55]Electric veins pulse through concrete skies\n[00:42.10]Your name echoes in the hollow where my heartbeat lies\n[00:45.75]We're satellites trapped in parallel light\n[00:49.25]Burning through the atmosphere of endless night\n[01:00.00]Dusty vinyl spins reverse\n[01:03.45]Our polaroid timeline bleeds through the verse\n[01:07.10]Telescope aimed at dead stars\n[01:10.65]Still tracing constellations through prison bars\n[01:14.30]Electric veins pulse through concrete skies\n[01:17.85]Your name echoes in the hollow where my heartbeat lies\n[01:21.50]We're satellites trapped in parallel light\n[01:25.05]Burning through the atmosphere of endless night\n[02:10.00]Clockwork gears grind moonbeams to rust\n[02:13.50]Our fingerprint smudged by interstellar dust\n[02:17.15]Velvet thunder rolls through my veins\n[02:20.70]Chasing phantom trains through solar plane\n[02:24.35]Electric veins pulse through concrete skies\n[02:27.90]Your name echoes in the hollow where my heartbeat lies"""], |
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["""[00:04.34]Tell me that I'm special\n[00:06.57]Tell me I look pretty\n[00:08.46]Tell me I'm a little angel\n[00:10.58]Sweetheart of your city\n[00:13.64]Say what I'm dying to hear\n[00:17.35]Cause I'm dying to hear you\n[00:20.86]Tell me I'm that new thing\n[00:22.93]Tell me that I'm relevant\n[00:24.96]Tell me that I got a big heart\n[00:27.04]Then back it up with evidence\n[00:29.94]I need it and I don't know why\n[00:34.28]This late at night\n[00:36.32]Isn't it lonely\n[00:39.24]I'd do anything to make you want me\n[00:43.40]I'd give it all up if you told me\n[00:47.42]That I'd be\n[00:49.43]The number one girl in your eyes\n[00:52.85]Your one and only\n[00:55.74]So what's it gon' take for you to want me\n[00:59.78]I'd give it all up if you told me\n[01:03.89]That I'd be\n[01:05.94]The number one girl in your eyes\n[01:11.34]Tell me I'm going real big places\n[01:14.32]Down to earth so friendly\n[01:16.30]And even through all the phases\n[01:18.46]Tell me you accept me\n[01:21.56]Well that's all I'm dying to hear\n[01:25.30]Yeah I'm dying to hear you\n[01:28.91]Tell me that you need me\n[01:30.85]Tell me that I'm loved\n[01:32.90]Tell me that I'm worth it"""] |
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], |
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inputs=[lrc], |
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label="Lrc Examples", |
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examples_per_page=2, |
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elem_id="lrc-examples-container", |
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) |
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with gr.Tab("LLM Generate LRC", id=1): |
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with gr.Row(): |
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with gr.Column(): |
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with gr.Accordion("Notice", open=False): |
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gr.Markdown("**Two Generation Modes:**\n1. Generate from theme & tags\n2. Add timestamps to existing lyrics") |
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with gr.Group(): |
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gr.Markdown("### Method 1: Generate from Theme") |
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theme = gr.Textbox(label="theme", placeholder="Enter song theme, e.g: Love and Heartbreak") |
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tags_gen = gr.Textbox(label="tags", placeholder="Enter song tags, e.g: pop confidence healing") |
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language = gr.Radio(["zh", "en"], label="Language", value="en") |
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gen_from_theme_btn = gr.Button("Generate LRC (From Theme)", variant="primary") |
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gr.Examples( |
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examples=[ |
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[ |
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"Love and Heartbreak", |
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"vocal emotional piano pop", |
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"en" |
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], |
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[ |
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"Heroic Epic", |
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"choir orchestral powerful", |
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"zh" |
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] |
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], |
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inputs=[theme, tags_gen, language], |
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label="Examples: Generate from Theme" |
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) |
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with gr.Group(visible=True): |
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gr.Markdown("### Method 2: Add Timestamps to Lyrics") |
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tags_lyrics = gr.Textbox(label="tags", placeholder="Enter song tags, e.g: ballad piano slow") |
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lyrics_input = gr.Textbox( |
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label="Raw Lyrics (without timestamps)", |
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placeholder="Enter plain lyrics (without timestamps), e.g:\nYesterday\nAll my troubles...", |
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lines=10, |
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max_lines=50, |
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elem_classes="lyrics-scroll-box" |
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) |
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gen_from_lyrics_btn = gr.Button("Generate LRC (From Lyrics)", variant="primary") |
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gr.Examples( |
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examples=[ |
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[ |
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"acoustic folk happy", |
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"""I'm sitting here in the boring room\nIt's just another rainy Sunday afternoon""" |
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], |
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[ |
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"electronic dance energetic", |
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"""We're living in a material world\nAnd I am a material girl""" |
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] |
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], |
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inputs=[tags_lyrics, lyrics_input], |
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label="Examples: Generate from Lyrics" |
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) |
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with gr.Column(): |
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lrc_output = gr.Textbox( |
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label="Generated LRC Lyrics", |
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placeholder="Timed lyrics will appear here", |
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lines=57, |
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elem_classes="lrc-output", |
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show_copy_button=True |
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) |
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gen_from_theme_btn.click( |
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fn=R1_infer1, |
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inputs=[theme, tags_gen, language], |
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outputs=lrc_output |
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) |
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gen_from_lyrics_btn.click( |
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fn=R1_infer2, |
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inputs=[tags_lyrics, lyrics_input], |
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outputs=lrc_output |
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) |
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tabs.select( |
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lambda s: None, |
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None, |
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None |
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) |
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lyrics_btn.click( |
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fn=infer_music, |
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inputs=[lrc, audio_prompt, seed, randomize_seed, steps, file_type], |
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outputs=audio_output |
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) |
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demo.queue().launch(show_api=False, show_error=True) |
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if __name__ == "__main__": |
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demo.launch() |
