"""国际化支持模块""" import os # 默认语言 DEFAULT_LANG = os.getenv("GRADIO_LANG", "zh") # 翻译字典 TRANSLATIONS = { "zh": { "title": "🎬 LightX2V 图片/视频生成器", "model_config": "🗂️ 模型配置", "model_config_hint": "💡 **提示**：请确保以下每个模型选项至少有一个已下载✅的模型可用，否则可能无法正常生成视频。", "fp8_not_supported": "⚠️ **您的设备不支持fp8推理**，已自动隐藏包含fp8的模型选项。", "model_type": "模型类型", "model_type_info": "Wan2.2 需要分别指定高噪模型和低噪模型; Qwen-Image-Edit-2511 用于图片编辑(i2i); Qwen-Image-2512 用于文本生成图片(t2i); Z-Image-Turbo 用于文本生成图片(t2i)", "qwen3_encoder": "📝 Qwen3 编码器", "scheduler": "⏱️ 调度器", "qwen25vl_encoder": "📝 Qwen25-VL 编码器", "task_type": "任务类型", "task_type_info": "I2V: 图生视频, T2V: 文生视频, T2I: 文生图, I2I: 图片编辑", "download_source": "📥 下载源", "download_source_info": "选择模型下载源", "diffusion_model": "🎨 Diffusion模型", "high_noise_model": "🔊 高噪模型", "low_noise_model": "🔇 低噪模型", "text_encoder": "📝 文本编码器", "text_encoder_tokenizer": "📝 文本编码器 Tokenizer", "image_encoder": "🖼️ 图像编码器", "image_encoder_tokenizer": "🖼️ 图像编码器 Tokenizer", "vae": "🎞️ VAE编码/解码器", "attention_operator": "⚡ 注意力算子", "attention_operator_info": "使用适当的注意力算子加速推理", "quant_operator": "⚡矩阵乘法算子", "quant_operator_info": "选择低精度矩阵乘法算子以加速推理", "input_params": "📥 输入参数", "input_image": "输入图像（可拖入多张图片）", "image_preview": "已上传的图片预览", "image_path": "图片路径", "prompt": "提示词", "prompt_placeholder": "描述视频/图片内容...", "negative_prompt": "负向提示词", "negative_prompt_placeholder": "不希望出现在视频/图片中的内容...", "max_resolution": "最大分辨率", "max_resolution_info": "如果显存不足，可调低分辨率", "random_seed": "随机种子", "infer_steps": "推理步数", "infer_steps_distill": "蒸馏模型推理步数默认为4。", "infer_steps_info": "视频生成的推理步数。增加步数可能提高质量但降低速度。", "sample_shift": "分布偏移", "sample_shift_info": "控制样本分布偏移的程度。值越大表示偏移越明显。", "cfg_scale": "CFG缩放因子", "cfg_scale_info": "控制提示词的影响强度。值越高，提示词的影响越大。当值为1时，自动禁用CFG。", "enable_cfg": "启用无分类器引导", "fps": "每秒帧数(FPS)", "fps_info": "视频的每秒帧数。较高的FPS会产生更流畅的视频。", "num_frames": "总帧数", "num_frames_info": "视频中的总帧数。更多帧数会产生更长的视频。", "video_duration": "视频时长（秒）", "video_duration_info": "视频的时长（秒）。实际帧数 = 时长 × FPS。", "output_path": "输出视频路径", "output_path_info": "必须包含.mp4扩展名。如果留空或使用默认值，将自动生成唯一文件名。", "output_image_path": "输出图片路径", "output_image_path_info": "必须包含.png扩展名。如果留空或使用默认值，将自动生成唯一文件名。", "output_result": "📤 生成的结果", "output_image": "输出图片", "generate_video": "🎬 生成视频", "generate_image": "🖼️ 生成图片", "infer_steps_image_info": "图片编辑的推理步数，默认为8。", "aspect_ratio": "宽高比", "aspect_ratio_info": "选择生成图片的宽高比", "model_config_hint_image": "💡 **提示**：请确保以下每个模型选项至少有一个已下载✅的模型可用，否则可能无法正常生成图片。", "download": "📥 下载", "downloaded": "✅ 已下载", "not_downloaded": "❌ 未下载", "download_complete": "✅ {model_name} 下载完成", "download_start": "开始从 {source} 下载 {model_name}...", "please_select_model": "请先选择模型", "loading_models": "正在加载 Hugging Face 模型列表缓存...", "models_loaded": "模型列表缓存加载完成", "use_lora": "使用 LoRA", "lora": "🎨 LoRA", "lora_info": "选择要使用的 LoRA 模型", "lora_strength": "LoRA 强度", "lora_strength_info": "控制 LoRA 的影响强度，范围 0-10", "high_noise_lora": "🔊 高噪模型 LoRA", "high_noise_lora_info": "选择高噪模型使用的 LoRA", "high_noise_lora_strength": "高噪模型 LoRA 强度", "high_noise_lora_strength_info": "控制高噪模型 LoRA 的影响强度，范围 0-10", "low_noise_lora": "🔇 低噪模型 LoRA", "low_noise_lora_info": "选择低噪模型使用的 LoRA", "low_noise_lora_strength": "低噪模型 LoRA 强度", "low_noise_lora_strength_info": "控制低噪模型 LoRA 的影响强度，范围 0-10", }, "en": { "title": "🎬 LightX2V Image/Video Generator", "model_config": "🗂️ Model Configuration", "model_config_hint": "💡 **Tip**: Please ensure at least one downloaded ✅ model is available for each model option below, otherwise video generation may fail.", "fp8_not_supported": "⚠️ **Your device does not support fp8 inference**, fp8 model options have been automatically hidden.", "model_type": "Model Type", "model_type_info": "Wan2.2 requires separate high-noise and low-noise models; Qwen-Image-Edit-2511 is for image editing (i2i); Qwen-Image-2512 is for text-to-image (t2i); Z-Image-Turbo is for text-to-image (t2i)", "qwen3_encoder": "📝 Qwen3 Encoder", "scheduler": "⏱️ Scheduler", "qwen25vl_encoder": "📝 Qwen25-VL Encoder", "task_type": "Task Type", "task_type_info": "I2V: Image-to-Video, T2V: Text-to-Video, T2I: Text-to-Image, I2I: Image Editing", "download_source": "📥 Download Source", "download_source_info": "Select model download source", "diffusion_model": "🎨 Diffusion Model", "high_noise_model": "🔊 High Noise Model", "low_noise_model": "🔇 Low Noise Model", "text_encoder": "📝 Text Encoder", "text_encoder_tokenizer": "📝 Text Encoder Tokenizer", "image_encoder": "🖼️ Image Encoder", "image_encoder_tokenizer": "🖼️ Image Encoder Tokenizer", "vae": "🎞️ VAE Encoder/Decoder", "attention_operator": "⚡ Attention Operator", "attention_operator_info": "Use appropriate attention operator to accelerate inference", "quant_operator": "⚡ Matrix Multiplication Operator", "quant_operator_info": "Select low-precision matrix multiplication operator to accelerate inference", "input_params": "📥 Input Parameters", "input_image": "Input Image (drag multiple images)", "image_preview": "Uploaded Image Preview", "image_path": "Image Path", "prompt": "Prompt", "prompt_placeholder": "Describe video/image content...", "negative_prompt": "Negative Prompt", "negative_prompt_placeholder": "Content you don't want in the video/image...", "max_resolution": "Max Resolution", "max_resolution_info": "Reduce resolution if VRAM is insufficient", "random_seed": "Random Seed", "infer_steps": "Inference Steps", "infer_steps_distill": "Distill model inference steps default to 4.", "infer_steps_info": "Number of inference steps for video generation. More steps may improve quality but reduce speed.", "sample_shift": "Sample Shift", "sample_shift_info": "Control the degree of sample distribution shift. Higher values indicate more obvious shift.", "cfg_scale": "CFG Scale", "cfg_scale_info": "Control the influence strength of prompts. Higher values mean stronger prompt influence. When value is 1, CFG is automatically disabled.", "enable_cfg": "Enable Classifier-Free Guidance", "fps": "Frames Per Second (FPS)", "fps_info": "Frames per second of the video. Higher FPS produces smoother videos.", "num_frames": "Total Frames", "num_frames_info": "Total number of frames in the video. More frames produce longer videos.", "video_duration": "Video Duration (seconds)", "video_duration_info": "Duration of the video in seconds. Actual frames = duration × FPS.", "output_path": "Output Video Path", "output_path_info": "Must include .mp4 extension. If left empty or using default value, a unique filename will be automatically generated.", "output_image_path": "Output Image Path", "output_image_path_info": "Must include .png extension. If left empty or using default value, a unique filename will be automatically generated.", "output_result": "📤 Generated Result", "output_image": "Output Image", "generate_video": "🎬 Generate Video", "generate_image": "🖼️ Generate Image", "infer_steps_image_info": "Number of inference steps for image editing, default is 8.", "aspect_ratio": "Aspect Ratio", "aspect_ratio_info": "Select the aspect ratio for generated images", "model_config_hint_image": "💡 **Tip**: Please ensure at least one downloaded ✅ model is available for each model option below, otherwise image generation may fail.", "download": "📥 Download", "downloaded": "✅ Downloaded", "not_downloaded": "❌ Not Downloaded", "download_complete": "✅ {model_name} download complete", "download_start": "Starting to download {model_name} from {source}...", "please_select_model": "Please select a model first", "loading_models": "Loading Hugging Face model list cache...", "models_loaded": "Model list cache loaded", "use_lora": "Use LoRA", "lora": "🎨 LoRA", "lora_info": "Select LoRA model to use", "lora_strength": "LoRA Strength", "lora_strength_info": "Control LoRA influence strength, range 0-10", "high_noise_lora": "🔊 High Noise Model LoRA", "high_noise_lora_info": "Select high noise model LoRA to use", "high_noise_lora_strength": "High Noise Model LoRA Strength", "high_noise_lora_strength_info": "Control high noise model LoRA influence strength, range 0-10", "low_noise_lora": "🔇 Low Noise Model LoRA", "low_noise_lora_info": "Select low noise model LoRA to use", "low_noise_lora_strength": "Low Noise Model LoRA Strength", "low_noise_lora_strength_info": "Control low noise model LoRA influence strength, range 0-10", }, } def t(key: str, lang: str = None) -> str: """获取翻译文本""" if lang is None: lang = DEFAULT_LANG if lang not in TRANSLATIONS: lang = "zh" return TRANSLATIONS[lang].get(key, key) def set_language(lang: str): """设置语言""" global DEFAULT_LANG if lang in TRANSLATIONS: DEFAULT_LANG = lang os.environ["GRADIO_LANG"] = lang