{ "app": { "title": "🎛️ ACE-Step V1.5 演练场💡", "subtitle": "推动开源音乐生成的边界" }, "dataset": { "title": "📊 数据集浏览器", "dataset_label": "数据集", "dataset_info": "选择要浏览的数据集", "import_btn": "📥 导入数据集", "search_type_label": "搜索类型", "search_type_info": "如何查找项目", "search_value_label": "搜索值", "search_value_placeholder": "输入键或索引(留空表示随机)", "search_value_info": "键: 精确匹配, 索引: 0到数据集大小-1", "instruction_label": "📝 指令", "instruction_placeholder": "无可用指令", "metadata_title": "📋 项目元数据 (JSON)", "metadata_label": "完整项目信息", "source_audio": "源音频", "target_audio": "目标音频", "reference_audio": "参考音频", "get_item_btn": "🔍 获取项目", "use_src_checkbox": "使用数据集中的源音频", "use_src_info": "勾选以使用数据集中的源音频", "data_status_label": "📊 数据状态", "data_status_default": "❌ 未导入数据集", "autofill_btn": "📋 自动填充生成表单" }, "service": { "title": "🔧 服务配置", "checkpoint_label": "检查点文件", "checkpoint_info": "选择训练好的模型检查点文件(完整路径或文件名)", "refresh_btn": "🔄 刷新", "model_path_label": "主模型路径", "model_path_info": "选择模型配置目录(从检查点自动扫描)", "device_label": "设备", "device_info": "处理设备(建议自动检测)", "lm_model_path_label": "5Hz LM 模型路径", "lm_model_path_info": "选择5Hz LM模型检查点(从检查点自动扫描)", "backend_label": "5Hz LM 后端", "backend_info": "选择5Hz LM的后端: vllm(更快)或pt(PyTorch, 更兼容)", "init_llm_label": "初始化 5Hz LM", "init_llm_info": "勾选以在服务初始化期间初始化5Hz LM", "flash_attention_label": "使用Flash Attention", "flash_attention_info_enabled": "启用flash attention以加快推理速度(需要flash_attn包)", "flash_attention_info_disabled": "Flash attention不可用(未安装flash_attn包)", "offload_cpu_label": "卸载到CPU", "offload_cpu_info": "不使用时将模型卸载到CPU以节省GPU内存", "offload_dit_cpu_label": "将DiT卸载到CPU", "offload_dit_cpu_info": "将DiT卸载到CPU(需要启用卸载到CPU)", "compile_model_label": "编译模型", "compile_model_info": "使用 torch.compile 优化模型（量化必需）", "quantization_label": "INT8 量化", "quantization_info": "启用 INT8 仅权重量化以减少显存占用（需要启用编译模型）", "init_btn": "初始化服务", "status_label": "状态", "language_label": "界面语言", "language_info": "选择界面语言" }, "generation": { "required_inputs": "📝 必需输入", "task_type_label": "任务类型", "task_type_info": "选择生成的任务类型", "instruction_label": "指令", "instruction_info": "指令根据任务类型自动生成", "load_btn": "加载", "track_name_label": "音轨名称", "track_name_info": "为lego/extract任务选择音轨名称", "track_classes_label": "音轨名称", "track_classes_info": "为complete任务选择多个音轨类别", "audio_uploads": "🎵 音频上传", "reference_audio": "参考音频(可选)", "source_audio": "源音频(可选)", "convert_codes_btn": "转换为代码", "lm_codes_hints": "🎼 LM 代码提示", "lm_codes_label": "LM 代码提示", "lm_codes_placeholder": "<|audio_code_10695|><|audio_code_54246|>...", "lm_codes_info": "粘贴用于text2music生成的LM代码提示", "lm_codes_sample": "LM 代码提示(样本 {n})", "lm_codes_sample_info": "样本{n}的代码", "transcribe_btn": "转录", "repainting_controls": "🎨 重绘控制(秒)", "repainting_start": "重绘开始", "repainting_end": "重绘结束", "mode_label": "生成模式", "mode_info": "简单模式：用自然语言描述音乐。自定义模式：完全控制描述和歌词。", "mode_simple": "简单", "mode_custom": "自定义", "simple_query_label": "歌曲描述", "simple_query_placeholder": "描述你想创作的音乐，例如：'给我生成一首暗黑的戏剧古风，歌词要华丽'。留空则随机生成样本。", "simple_query_info": "输入你想生成的音乐的自然语言描述", "simple_vocal_language_label": "人声语言(可选)", "simple_vocal_language_info": "选择歌词的首选语言。使用 'unknown' 表示任意语言。", "create_sample_btn": "创建样本", "caption_title": "📝 音乐描述", "caption_label": "音乐描述(可选)", "caption_placeholder": "一段平和的原声吉他旋律,配有柔和的人声...", "caption_info": "描述风格、流派、乐器和情绪", "lyrics_title": "📝 歌词", "lyrics_label": "歌词(可选)", "lyrics_placeholder": "[第一段]\\n在星空下\\n我感到如此活跃...", "lyrics_info": "带有结构的歌曲歌词", "instrumental_label": "纯音乐", "format_btn": "格式化", "optional_params": "⚙️ 可选参数", "vocal_language_label": "人声语言(可选)", "vocal_language_info": "纯音乐使用 `unknown`", "bpm_label": "BPM(可选)", "bpm_info": "留空表示N/A", "keyscale_label": "调性(可选)", "keyscale_placeholder": "留空表示N/A", "keyscale_info": "A-G, #/♭, 大调/小调", "timesig_label": "拍号(可选)", "timesig_info": "2/4, 3/4, 4/4...", "duration_label": "音频时长(秒)", "duration_info": "使用-1表示随机", "batch_size_label": "批量大小", "batch_size_info": "要生成的音频数量(最多8个)", "advanced_settings": "🔧 高级设置", "inference_steps_label": "DiT 推理步数", "inference_steps_info": "Turbo: 最多8, Base: 最多200", "guidance_scale_label": "DiT 引导比例(仅支持base模型)", "guidance_scale_info": "更高的值更紧密地遵循文本", "seed_label": "种子", "seed_info": "批量使用逗号分隔的值", "random_seed_label": "随机种子", "random_seed_info": "启用以自动生成种子", "audio_format_label": "音频格式", "audio_format_info": "保存文件的音频格式", "use_adg_label": "使用 ADG", "use_adg_info": "启用角域引导", "shift_label": "Shift", "shift_info": "时间步偏移因子，仅对 base 模型生效 (范围 1.0~5.0，默认 3.0)。对 turbo 模型无效。", "infer_method_label": "推理方法", "infer_method_info": "扩散推理方法。ODE (欧拉) 更快，SDE (随机) 可能产生不同结果。", "custom_timesteps_label": "自定义时间步", "custom_timesteps_info": "可选：从 1.0 到 0.0 的逗号分隔值（例如 '0.97,0.76,0.615,0.5,0.395,0.28,0.18,0.085,0'）。会覆盖推理步数和 shift 设置。", "cfg_interval_start": "CFG 间隔开始", "cfg_interval_end": "CFG 间隔结束", "lm_params_title": "🤖 LM 生成参数", "lm_temperature_label": "LM 温度", "lm_temperature_info": "5Hz LM温度(越高越随机)", "lm_cfg_scale_label": "LM CFG 比例", "lm_cfg_scale_info": "5Hz LM CFG (1.0 = 无CFG)", "lm_top_k_label": "LM Top-K", "lm_top_k_info": "Top-K (0 = 禁用)", "lm_top_p_label": "LM Top-P", "lm_top_p_info": "Top-P (1.0 = 禁用)", "lm_negative_prompt_label": "LM 负面提示", "lm_negative_prompt_placeholder": "输入CFG的负面提示(默认: NO USER INPUT)", "lm_negative_prompt_info": "负面提示(当LM CFG比例 > 1.0时使用)", "cot_metas_label": "CoT 元数据", "cot_metas_info": "使用LM生成CoT元数据(取消勾选以跳过LM CoT生成)", "cot_language_label": "CoT 语言", "cot_language_info": "在CoT中生成语言(思维链)", "constrained_debug_label": "约束解码调试", "constrained_debug_info": "启用约束解码的调试日志(勾选以查看详细日志)", "auto_score_label": "自动评分", "auto_score_info": "自动计算所有生成音频的质量分数", "auto_lrc_label": "自动 LRC", "auto_lrc_info": "自动为所有生成的音频生成LRC歌词时间戳", "lm_batch_chunk_label": "LM 批量块大小", "lm_batch_chunk_info": "每个LM批量块的最大项目数(默认: 8, 受GPU内存限制)", "codes_strength_label": "LM 代码强度", "codes_strength_info": "控制使用LM生成代码的去噪步骤数量", "similarity_denoise_label": "相似度 / 降噪", "similarity_denoise_info": "控制输出与参考音频的贴合程度。数值越高保留越多结构。", "cover_strength_label": "音频覆盖强度", "cover_strength_info": "控制使用覆盖模式的去噪步骤数量", "score_sensitivity_label": "质量评分敏感度", "score_sensitivity_info": "更低 = 更敏感(默认: 1.0). 调整PMI如何映射到[0,1]", "think_label": "思考", "parallel_thinking_label": "并行思考", "generate_btn": "🎵 生成音乐", "autogen_label": "自动生成", "caption_rewrite_label": "描述重写" }, "results": { "title": "🎵 结果", "generated_music": "🎵 生成的音乐(样本 {n})", "send_to_src_btn": "🔗 发送到源音频", "save_btn": "💾 保存", "score_btn": "📊 评分", "lrc_btn": "🎵 LRC", "quality_score_label": "质量分数(样本 {n})", "quality_score_placeholder": "点击'评分'以计算基于困惑度的质量分数", "codes_label": "LM 代码(样本 {n})", "lrc_label": "歌词时间戳(样本 {n})", "lrc_placeholder": "点击'LRC'生成时间戳", "details_accordion": "📊 评分与LRC与LM代码", "generation_status": "生成状态", "current_batch": "当前批次", "batch_indicator": "批次 {current} / {total}", "next_batch_status": "下一批次状态", "prev_btn": "◀ 上一个", "next_btn": "下一个 ▶", "restore_params_btn": "↙️ 将这些设置应用到UI(恢复批次参数)", "batch_results_title": "👇 点击查看批量结果和生成详情", "all_files_label": "📁 所有生成的文件(下载)", "generation_details": "生成详情" }, "messages": { "no_audio_to_save": "❌ 没有要保存的音频", "save_success": "✅ 已将音频和元数据保存到 {filename}", "save_failed": "❌ 保存失败: {error}", "no_file_selected": "⚠️ 未选择文件", "params_loaded": "✅ 已从 {filename} 加载参数", "invalid_json": "❌ 无效的JSON文件: {error}", "load_error": "❌ 加载文件时出错: {error}", "example_loaded": "📁 已从 {filename} 加载示例", "example_failed": "解析JSON文件 {filename} 失败: {error}", "example_error": "加载示例时出错: {error}", "lm_generated": "🤖 使用LM生成的示例", "lm_fallback": "使用LM生成示例失败,回退到示例目录", "lm_not_initialized": "❌ 5Hz LM未初始化。请先初始化它。", "autogen_enabled": "🔄 已启用自动生成 - 下一批次将在此之后生成", "batch_ready": "✅ 批次 {n} 就绪!点击'下一个'查看。", "batch_generating": "🔄 开始为批次 {n} 进行后台生成...", "batch_failed": "❌ 后台生成失败: {error}", "viewing_batch": "✅ 查看批次 {n}", "at_first_batch": "已在第一批次", "at_last_batch": "没有下一批次可用", "batch_not_found": "在队列中未找到批次 {n}", "no_batch_data": "没有要恢复的批次数据。", "params_restored": "✅ 已从批次 {n} 恢复UI参数", "scoring_failed": "❌ 错误: 未找到批次数据", "no_codes": "❌ 没有可用的音频代码。请先生成音乐。", "score_failed": "❌ 评分失败: {error}", "score_error": "❌ 计算分数时出错: {error}", "lrc_no_batch_data": "❌ 未找到批次数据。请先生成音乐。", "lrc_no_extra_outputs": "❌ 未找到额外输出。条件张量不可用。", "lrc_missing_tensors": "❌ 缺少LRC生成所需的张量。", "lrc_sample_not_exist": "❌ 当前批次中不存在该样本。", "lrc_empty_result": "⚠️ LRC生成结果为空。", "empty_query": "⚠️ 请输入音乐描述。", "sample_creation_failed": "❌ 创建样本失败。请重试。", "sample_created": "✅ 样本已创建！检查描述和歌词，然后点击生成音乐。", "simple_examples_not_found": "⚠️ 未找到简单模式示例目录。", "simple_examples_empty": "⚠️ 简单模式示例中没有示例文件。", "simple_example_loaded": "🎲 已从 {filename} 加载随机示例", "format_success": "✅ 描述和歌词格式化成功", "format_failed": "❌ 格式化失败: {error}", "skipping_metas_cot": "⚡ 跳过 Phase 1 元数据 COT（样本已格式化）", "invalid_timesteps_format": "⚠️ 时间步格式无效，使用默认调度。", "timesteps_out_of_range": "⚠️ 时间步必须在 [0, 1] 范围内，使用默认调度。", "timesteps_count_mismatch": "⚠️ 时间步数量 ({actual}) 与推理步数 ({expected}) 不匹配，将使用时间步数量。" }, "training": { "tab_title": "🎓 LoRA 训练", "tab_dataset_builder": "📁 数据集构建", "tab_train_lora": "🚀 训练 LoRA", "quick_start_title": "🚀 快速开始", "load_dataset_label": "数据集 JSON 路径", "load_btn": "📂 加载", "load_status": "加载状态", "scan_label": "音频目录路径", "scan_info": "扫描音频文件（wav、mp3、flac、ogg、opus）", "scan_btn": "🔍 扫描", "scan_status": "扫描状态", "found_audio_files": "已找到的音频文件", "dataset_name": "数据集名称", "dataset_name_placeholder": "输入数据集名称", "dataset_settings_header": "数据集设置", "tag_prepend": "前置（标签，描述）", "tag_append": "后置（描述，标签）", "tag_replace": "替换描述", "step2_title": "步骤 2：AI 自动标注", "step3_title": "步骤 3：预览与编辑", "step4_title": "步骤 4：保存数据集", "step5_title": "步骤 5：预处理为张量", "all_instrumental": "全部为纯音乐", "all_instrumental_info": "勾选表示所有曲目均为纯音乐（无人声）", "custom_tag": "自定义激活标签", "custom_tag_info": "用于激活此 LoRA 风格的唯一标签", "tag_position": "标签位置", "tag_position_info": "在描述中放置自定义标签的位置", "genre_ratio": "风格比例 (%)", "genre_ratio_info": "0%=全部描述，100%=全部风格。单样本覆盖优先。", "skip_metas": "跳过 BPM/调性/拍号", "skip_metas_info": "跳过 BPM/调性/拍号生成。描述和风格仍由 LM 生成。", "only_unlabeled": "仅未标注", "only_unlabeled_info": "仅标注无描述的样本（用于继续失败的标注）", "auto_label_btn": "🏷️ 自动标注全部", "label_progress": "标注进度", "select_sample": "选择样本 #", "select_sample_info": "选择要预览和编辑的样本", "audio_preview": "音频预览", "filename": "文件名", "caption": "描述", "genre": "风格", "prompt_override_label": "提示覆盖（本样本）", "prompt_override_info": "覆盖本样本的全局比例", "lyrics_editable_label": "歌词（可编辑，用于训练）", "raw_lyrics_label": "原始歌词（来自 .txt 文件）", "no_lyrics_placeholder": "（无 .txt 歌词文件）", "bpm": "BPM", "key_label": "调性", "key_placeholder": "C 大调", "time_sig": "拍号", "duration_s": "时长 (秒)", "language": "语言", "instrumental": "纯音乐", "save_changes_btn": "💾 保存更改", "edit_status": "编辑状态", "save_path": "保存路径", "save_path_info": "数据集 JSON 的保存路径", "save_dataset_btn": "💾 保存数据集", "save_status": "保存状态", "load_existing_label": "加载已有数据集（可选）", "load_existing_info": "之前保存的数据集 JSON 文件路径", "load_dataset_btn": "📂 加载数据集", "tensor_output_dir": "张量输出目录", "tensor_output_info": "保存预处理张量文件的目录", "preprocess_btn": "⚡ 预处理", "preprocess_progress": "预处理进度", "preprocessed_tensors_dir": "预处理张量目录", "preprocessed_tensors_info": "包含预处理 .pt 张量文件的目录", "dataset_info": "数据集信息", "lora_rank": "LoRA 秩 (r)", "lora_rank_info": "越高容量越大，显存占用越多", "lora_alpha": "LoRA Alpha", "lora_alpha_info": "缩放因子（通常为 2× 秩）", "lora_dropout": "LoRA Dropout", "learning_rate": "学习率", "learning_rate_info": "建议从 3e-4 开始，按需调整", "max_epochs": "最大轮数", "batch_size": "批大小", "batch_size_info": "显存充足时可增大", "gradient_accumulation": "梯度累积", "gradient_accumulation_info": "有效批大小 = batch_size × 累积步数", "save_every_n_epochs": "每 N 轮保存", "shift": "Shift", "shift_info": "Turbo 模型时间步偏移", "seed": "随机种子", "output_dir": "输出目录", "output_dir_info": "保存训练后 LoRA 权重的目录", "start_training_btn": "🚀 开始训练", "stop_training_btn": "⏹️ 停止训练", "training_progress": "训练进度", "training_log": "训练日志", "training_loss_title": "训练损失", "step": "步数", "loss": "损失", "export_header": "导出 LoRA", "export_path": "导出路径", "export_lora_btn": "📦 导出 LoRA", "export_status": "导出状态" } }