{ "APG": { "display_name": "自适应投影引导", "inputs": { "eta": { "name": "预计到达时间", "tooltip": "控制平行引导向量的缩放比例。默认 CFG 行为设置为 1。" }, "model": { "name": "模型" }, "momentum": { "name": "动量", "tooltip": "控制扩散过程中的引导运行平均值，设置为0时禁用。" }, "norm_threshold": { "name": "向量归一化", "tooltip": "将引导向量归一化到此值，设置为 0 时禁用归一化。" } }, "outputs": { "0": { "tooltip": null } } }, "AddNoise": { "display_name": "添加噪波", "inputs": { "latent_image": { "name": "Latent" }, "model": { "name": "模型" }, "noise": { "name": "噪波" }, "sigmas": { "name": "Sigmas" } }, "outputs": { "0": { "tooltip": null } } }, "AddTextPrefix": { "display_name": "文本前添加", "inputs": { "prefix": { "name": "前缀", "tooltip": "要添加的内容。" }, "texts": { "name": "文本", "tooltip": "需要被添加的文本。" } }, "outputs": { "0": { "name": "文本", "tooltip": "处理后的文本" } } }, "AddTextSuffix": { "display_name": "文本后添加", "inputs": { "suffix": { "name": "后缀", "tooltip": "要添加的内容。" }, "texts": { "name": "文本", "tooltip": "需要被添加的文本。" } }, "outputs": { "0": { "name": "文本", "tooltip": "处理后的文本" } } }, "AdjustBrightness": { "display_name": "调整亮度", "inputs": { "factor": { "name": "系数", "tooltip": "亮度系数。1.0表示无变化，<1.0表示更暗，>1.0表示更亮。" }, "images": { "name": "图像", "tooltip": "需要调整的图像" } }, "outputs": { "0": { "name": "图像", "tooltip": "调整后的图像" } } }, "AdjustContrast": { "display_name": "调整对比度", "inputs": { "factor": { "name": "系数", "tooltip": "对比度系数。1.0表示无变化，<1.0表示更低，>1.0表示更高。" }, "images": { "name": "图像", "tooltip": "需要调整的图像" } }, "outputs": { "0": { "name": "图像", "tooltip": "调整后的图像" } } }, "AlignYourStepsScheduler": { "display_name": "AlignYourSteps调度器", "inputs": { "denoise": { "name": "降噪" }, "model_type": { "name": "模型类型" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "AudioAdjustVolume": { "display_name": "音频调整音量", "inputs": { "audio": { "name": "音频" }, "volume": { "name": "音量", "tooltip": "音量调整，单位为分贝 (dB)。0 = 无变化，+6 = 加倍，-6 = 减半，等等" } }, "outputs": { "0": { "tooltip": null } } }, "AudioConcat": { "description": "将 音频1 与 音频2 按指定方向连接。", "display_name": "音频拼接", "inputs": { "audio1": { "name": "音频1" }, "audio2": { "name": "音频2" }, "direction": { "name": "方向", "tooltip": "音频2 在 音频1 之前或之后。" } }, "outputs": { "0": { "tooltip": null } } }, "AudioEncoderEncode": { "display_name": "音频编码器编码", "inputs": { "audio": { "name": "音频" }, "audio_encoder": { "name": "音频编码器" } }, "outputs": { "0": { "tooltip": null } } }, "AudioEncoderLoader": { "display_name": "加载音频编码器", "inputs": { "audio_encoder_name": { "name": "音频编码器" } }, "outputs": { "0": { "tooltip": null } } }, "AudioMerge": { "description": "叠加 音频1 和 音频2 轨道的波形。", "display_name": "音频合并", "inputs": { "audio1": { "name": "音频1" }, "audio2": { "name": "音频2" }, "merge_method": { "name": "合并方法", "tooltip": "用于组合音频波形的方法。" } }, "outputs": { "0": { "tooltip": null } } }, "BasicGuider": { "display_name": "基本引导器", "inputs": { "conditioning": { "name": "条件" }, "model": { "name": "模型" } }, "outputs": { "0": { "tooltip": null } } }, "BasicScheduler": { "display_name": "基本调度器", "inputs": { "denoise": { "name": "降噪" }, "model": { "name": "模型" }, "scheduler": { "name": "调度器" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "BatchImagesNode": { "display_name": "批量图像", "inputs": { "images": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "BatchLatentsNode": { "display_name": "批量latent", "inputs": { "latents": { "name": "latent" } }, "outputs": { "0": { "tooltip": null } } }, "BatchMasksNode": { "display_name": "批量mask", "inputs": { "masks": { "name": "mask" } }, "outputs": { "0": { "tooltip": null } } }, "BetaSamplingScheduler": { "display_name": "Beta采样调度器", "inputs": { "alpha": { "name": "alpha" }, "beta": { "name": "beta" }, "model": { "name": "模型" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "BriaImageEditNode": { "description": "使用 Bria 最新模型编辑图像", "display_name": "Bria 图像编辑", "inputs": { "control_after_generate": { "name": "control after generate" }, "guidance_scale": { "name": "guidance_scale", "tooltip": "数值越高，图像越贴合 prompt。" }, "image": { "name": "image" }, "mask": { "name": "mask", "tooltip": "如未指定，编辑将应用于整个图像。" }, "model": { "name": "model" }, "moderation": { "name": "moderation", "tooltip": "内容审核设置" }, "negative_prompt": { "name": "negative_prompt" }, "prompt": { "name": "prompt", "tooltip": "编辑图像的指令" }, "seed": { "name": "seed" }, "steps": { "name": "steps" }, "structured_prompt": { "name": "structured_prompt", "tooltip": "包含结构化编辑提示的 JSON 字符串。使用此项可实现更精确、可编程的控制，替代常规 prompt。" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "structured_prompt", "tooltip": null } } }, "BriaRemoveImageBackground": { "description": "使用 Bria RMBG 2.0 移除图像的背景。", "display_name": "Bria 移除图像背景", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "moderation": { "name": "内容审核", "tooltip": "内容审核设置" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "BriaRemoveVideoBackground": { "description": "使用 Bria 移除视频的背景。", "display_name": "Bria 移除视频背景", "inputs": { "background_color": { "name": "背景颜色", "tooltip": "输出视频的背景颜色。" }, "control_after_generate": { "name": "生成后控制" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" }, "video": { "name": "视频" } }, "outputs": { "0": { "tooltip": null } } }, "ByteDanceFirstLastFrameNode": { "description": "使用提示词和首尾帧生成视频。", "display_name": "字节跳动首尾帧转视频", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比。" }, "camera_fixed": { "name": "相机固定", "tooltip": "指定是否固定相机。平台会在您的提示词中附加固定相机的指令，但不保证实际效果。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（以秒为单位）。" }, "first_frame": { "name": "第一帧", "tooltip": "用于视频的第一帧。" }, "generate_audio": { "name": "generate_audio", "tooltip": "此参数仅对 seedance-1-5-pro 模型有效，其他模型将被忽略。" }, "last_frame": { "name": "最后一帧", "tooltip": "用于视频的最后一帧。" }, "model": { "name": "模型" }, "prompt": { "name": "提示", "tooltip": "用于生成视频的文本提示。" }, "resolution": { "name": "分辨率", "tooltip": "输出视频的分辨率。" }, "seed": { "name": "种子", "tooltip": "用于生成的种子。" }, "watermark": { "name": "水印", "tooltip": "是否在视频中添加“AI 生成”水印。" } }, "outputs": { "0": { "tooltip": null } } }, "ByteDanceImageNode": { "description": "通过基于提示的API使用字节跳动模型生成图像", "display_name": "字节跳动图片", "inputs": { "control_after_generate": { "name": "生成后控制" }, "guidance_scale": { "name": "引导尺度", "tooltip": "数值越高，图像越紧密地遵循提示" }, "height": { "name": "高度", "tooltip": "图像的自定义高度。仅当 `size_preset` 设置为 `Custom` 时该值才生效" }, "model": { "name": "模型" }, "prompt": { "name": "提示", "tooltip": "用于生成图像的文本提示" }, "seed": { "name": "种子", "tooltip": "用于生成的种子" }, "size_preset": { "name": "尺寸预设", "tooltip": "选择一个推荐尺寸。选择自定义以使用下方的宽度和高度" }, "watermark": { "name": "水印", "tooltip": "是否在图像上添加“AI生成”水印" }, "width": { "name": "宽度", "tooltip": "图像的自定义宽度。仅当 `size_preset` 设置为 `Custom` 时该值才生效" } }, "outputs": { "0": { "tooltip": null } } }, "ByteDanceImageReferenceNode": { "description": "使用提示和参考图像生成视频。", "display_name": "字节跳动参考图像转视频", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（以秒为单位）。" }, "images": { "name": "图片", "tooltip": "一到四张图片。" }, "model": { "name": "模型" }, "prompt": { "name": "提示", "tooltip": "用于生成视频的文本提示。" }, "resolution": { "name": "分辨率", "tooltip": "输出视频的分辨率。" }, "seed": { "name": "种子", "tooltip": "用于生成的种子。" }, "watermark": { "name": "水印", "tooltip": "是否在视频中添加“AI 生成”水印。" } }, "outputs": { "0": { "tooltip": null } } }, "ByteDanceImageToVideoNode": { "description": "通过API基于图像和提示使用字节跳动模型生成视频", "display_name": "字节跳动图片转视频", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比。" }, "camera_fixed": { "name": "摄像头已固定", "tooltip": "指定是否固定相机。平台会在您的提示词中附加固定相机的指令，但不保证实际效果。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（以秒为单位）。" }, "generate_audio": { "name": "generate_audio", "tooltip": "此参数仅对 seedance-1-5-pro 模型有效，其他模型将被忽略。" }, "image": { "name": "图片", "tooltip": "用于视频的第一帧。" }, "model": { "name": "模型" }, "prompt": { "name": "提示", "tooltip": "用于生成视频的文本提示。" }, "resolution": { "name": "分辨率", "tooltip": "输出视频的分辨率。" }, "seed": { "name": "种子", "tooltip": "用于生成的种子。" }, "watermark": { "name": "水印", "tooltip": "是否在视频中添加“AI生成”水印。" } }, "outputs": { "0": { "tooltip": null } } }, "ByteDanceSeedreamNode": { "description": "统一文本到图像生成，支持高达4K分辨率的精确单句编辑。", "display_name": "字节跳动Seedream 4", "inputs": { "control_after_generate": { "name": "生成后控制" }, "fail_on_partial": { "name": "部分失败时停止", "tooltip": "如果启用，当任何请求的图像缺失或返回错误时，将中止执行。" }, "height": { "name": "高度", "tooltip": "图像的自定义高度。仅当 `size_preset` 设置为 `Custom` 时该值生效" }, "image": { "name": "图像", "tooltip": "用于图像到图像生成的输入图像。用于单参考或多参考生成的1-10张图像列表。" }, "max_images": { "name": "最大图片数", "tooltip": "当 sequential_image_generation='auto' 时生成图像的最大数量。总图像数（输入+生成）不能超过 15。" }, "model": { "name": "模型", "tooltip": "模型名称" }, "prompt": { "name": "提示", "tooltip": "用于创建或编辑图像的文本提示。" }, "seed": { "name": "种子", "tooltip": "用于生成的种子。" }, "sequential_image_generation": { "name": "顺序图像生成", "tooltip": "分组图像生成模式。'disabled' 生成单张图像。'auto' 由模型决定是否生成多张相关图像（例如故事场景、角色变体）。" }, "size_preset": { "name": "尺寸预设", "tooltip": "选择一个推荐尺寸。选择“自定义”以使用下面的宽度和高度。" }, "watermark": { "name": "水印", "tooltip": "是否在图像上添加“AI 生成”水印。" }, "width": { "name": "宽度", "tooltip": "图像的自定义宽度。仅当 `size_preset` 设置为 `Custom` 时该值生效" } }, "outputs": { "0": { "tooltip": null } } }, "ByteDanceTextToVideoNode": { "description": "通过API基于提示使用字节跳动模型生成视频", "display_name": "字节跳动文生视频", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比。" }, "camera_fixed": { "name": "固定相机", "tooltip": "指定是否固定相机。平台会在您的提示后附加固定相机的指令，但不保证实际效果。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（秒）。" }, "generate_audio": { "name": "generate_audio", "tooltip": "此参数仅对 seedance-1-5-pro 模型有效，其他模型将被忽略。" }, "model": { "name": "模型" }, "prompt": { "name": "提示", "tooltip": "用于生成视频的文本提示。" }, "resolution": { "name": "分辨率", "tooltip": "输出视频的分辨率。" }, "seed": { "name": "种子", "tooltip": "用于生成的种子值。" }, "watermark": { "name": "水印", "tooltip": "是否在视频中添加“AI生成”水印。" } }, "outputs": { "0": { "tooltip": null } } }, "CFGGuider": { "display_name": "CFG引导器", "inputs": { "cfg": { "name": "CFG" }, "model": { "name": "模型" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" } }, "outputs": { "0": { "tooltip": null } } }, "CFGNorm": { "display_name": "CFG归一化", "inputs": { "model": { "name": "模型" }, "strength": { "name": "强度" } }, "outputs": { "0": { "name": "模型", "tooltip": null } } }, "CFGZeroStar": { "display_name": "CFGZeroStar", "inputs": { "model": { "name": "模型" } }, "outputs": { "0": { "name": "模型", "tooltip": null } } }, "CLIPAttentionMultiply": { "display_name": "CLIP注意力相乘", "inputs": { "clip": { "name": "CLIP" }, "k": { "name": "k" }, "out": { "name": "输出" }, "q": { "name": "q" }, "v": { "name": "v" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPLoader": { "description": "[配方]\n\nStable Diffusion：clip-l\nStable Cascade：clip-g\nSD3：t5 / clip-g / clip-l\nStable Audio：t5\nMochi：t5\ncosmos：old t5 xxl", "display_name": "加载CLIP", "inputs": { "clip_name": { "name": "CLIP名称" }, "device": { "name": "设备" }, "type": { "name": "类型" } } }, "CLIPMergeAdd": { "display_name": "CLIP相加", "inputs": { "clip1": { "name": "clip1" }, "clip2": { "name": "clip2" } } }, "CLIPMergeSimple": { "display_name": "CLIP融合简易", "inputs": { "clip1": { "name": "clip1" }, "clip2": { "name": "clip2" }, "ratio": { "name": "比例" } } }, "CLIPMergeSubtract": { "display_name": "CLIP相减", "inputs": { "clip1": { "name": "clip1" }, "clip2": { "name": "clip2" }, "multiplier": { "name": "乘数" } } }, "CLIPSave": { "display_name": "CLIP保存", "inputs": { "clip": { "name": "clip" }, "filename_prefix": { "name": "文件名前缀" } } }, "CLIPSetLastLayer": { "display_name": "设置CLIP最后一层", "inputs": { "clip": { "name": "clip" }, "stop_at_clip_layer": { "name": "停止在CLIP层" } } }, "CLIPTextEncode": { "description": "使用 CLIP 模型将文本编码成嵌入组（embedding），用于引导扩散模型生成图像。", "display_name": "CLIP文本编码", "inputs": { "clip": { "name": "clip", "tooltip": "用于编码文本的 CLIP 模型。" }, "text": { "name": "文本", "tooltip": "要编码的文本。" } }, "outputs": { "0": { "tooltip": "包含嵌入文本的条件，用于引导扩散模型。" } } }, "CLIPTextEncodeControlnet": { "display_name": "CLIP文本编码(ControlNet)", "inputs": { "clip": { "name": "clip" }, "conditioning": { "name": "条件" }, "text": { "name": "文本" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeFlux": { "display_name": "CLIP文本编码（Flux）", "inputs": { "clip": { "name": "clip" }, "clip_l": { "name": "clip_l" }, "guidance": { "name": "引导" }, "t5xxl": { "name": "t5xxl" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeHiDream": { "display_name": "CLIP文本编码（HiDream）", "inputs": { "clip": { "name": "clip" }, "clip_g": { "name": "clip_g" }, "clip_l": { "name": "clip_l" }, "llama": { "name": "llama" }, "t5xxl": { "name": "t5xxl" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeHunyuanDiT": { "display_name": "CLIP文本编码（混元DiT）", "inputs": { "bert": { "name": "bert" }, "clip": { "name": "clip" }, "mt5xl": { "name": "mt5xl" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeKandinsky5": { "display_name": "CLIP文本编码（Kandinsky5）", "inputs": { "clip": { "name": "clip" }, "clip_l": { "name": "clip_l" }, "qwen25_7b": { "name": "qwen25_7b" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeLumina2": { "description": "使用CLIP模型将系统提示和用户提示编码成可以用来引导扩散模型生成特定图像的嵌入。", "display_name": "CLIP文本编码（Lumina2）", "inputs": { "clip": { "name": "clip", "tooltip": "用于编码文本的CLIP模型。" }, "system_prompt": { "name": "系统提示词", "tooltip": "Lumina2提供两种类型的系统提示：优越：你是一个设计来根据文本提示或用户提示生成优越图像的助手，这些图像具有基于文本提示的优越度的图像-文本对齐。对齐：你是一个设计来根据文本提示生成高质量图像的助手，这些图像具有基于文本提示的最高度的图像-文本对齐。" }, "user_prompt": { "name": "提示词", "tooltip": "需要编码的文本。" } }, "outputs": { "0": { "tooltip": "包含用于引导扩散模型的嵌入文本的条件。" } } }, "CLIPTextEncodePixArtAlpha": { "description": "编码文本并设置PixArt Alpha的分辨率条件。不适用于PixArt Sigma。", "display_name": "CLIP文本编码（PixArtAlpha）", "inputs": { "clip": { "name": "剪辑" }, "height": { "name": "高度" }, "text": { "name": "文本" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeSD3": { "display_name": "CLIP文本编码（SD3）", "inputs": { "clip": { "name": "clip" }, "clip_g": { "name": "clip_g" }, "clip_l": { "name": "clip_l" }, "empty_padding": { "name": "空白填充" }, "t5xxl": { "name": "t5xxl" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeSDXL": { "display_name": "CLIP文本编码（SDXL）", "inputs": { "clip": { "name": "clip" }, "crop_h": { "name": "裁剪高" }, "crop_w": { "name": "裁剪宽" }, "height": { "name": "高度" }, "target_height": { "name": "目标高度" }, "target_width": { "name": "目标宽度" }, "text_g": { "name": "文本_g" }, "text_l": { "name": "文本_l" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPTextEncodeSDXLRefiner": { "display_name": "CLIP文本编码（SDXLRefiner）", "inputs": { "ascore": { "name": "美学分数" }, "clip": { "name": "clip" }, "height": { "name": "高度" }, "text": { "name": "文本" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "CLIPVisionEncode": { "display_name": "CLIP视觉编码", "inputs": { "clip_vision": { "name": "clip视觉" }, "crop": { "name": "裁剪" }, "image": { "name": "图像" } } }, "CLIPVisionLoader": { "display_name": "加载CLIP视觉", "inputs": { "clip_name": { "name": "clip名称" } } }, "Canny": { "display_name": "Canny边缘检测", "inputs": { "high_threshold": { "name": "高阈值" }, "image": { "name": "图像" }, "low_threshold": { "name": "低阈值" } }, "outputs": { "0": { "tooltip": null } } }, "CaseConverter": { "display_name": "大小写转换器", "inputs": { "mode": { "name": "模式" }, "string": { "name": "字符串" } }, "outputs": { "0": { "tooltip": null } } }, "CenterCropImages": { "display_name": "裁剪图像（中心）", "inputs": { "height": { "name": "高度", "tooltip": "裁剪框高度" }, "images": { "name": "图像", "tooltip": "需要调整的图像" }, "width": { "name": "宽度", "tooltip": "裁剪框宽度" } }, "outputs": { "0": { "name": "图像", "tooltip": "调整后的图像" } } }, "CheckpointLoader": { "display_name": "Ckeckpoint加载器（已弃用）", "inputs": { "ckpt_name": { "name": "Checkpoint名称" }, "config_name": { "name": "配置名称" } } }, "CheckpointLoaderSimple": { "description": "加载扩散模型 Checkpoint，用于去除 Latent 噪波。", "display_name": "Checkpoint加载器（简易）", "inputs": { "ckpt_name": { "name": "Checkpoint名称", "tooltip": "要加载的Checkpoint模型的名称。" } }, "outputs": { "0": { "tooltip": "用于去除 Latent 噪波的模型。" }, "1": { "tooltip": "用于编码文本提示的 CLIP 模型。" }, "2": { "tooltip": "用于将图像编码和解码到 Latent 的 VAE 模型。" } } }, "CheckpointSave": { "display_name": "保存Checkpoint", "inputs": { "clip": { "name": "clip" }, "filename_prefix": { "name": "文件名前缀" }, "model": { "name": "模型" }, "vae": { "name": "vae" } } }, "ChromaRadianceOptions": { "description": "允许为Chroma Radiance模型设置高级选项。", "display_name": "ChromaRadiance选项", "inputs": { "end_sigma": { "name": "结束sigma", "tooltip": "这些选项生效的最后一个sigma值。" }, "model": { "name": "模型" }, "nerf_tile_size": { "name": "NeRF瓦片大小", "tooltip": "允许覆盖默认的NeRF瓦片大小。-1表示使用默认值（32）。0表示使用非平铺模式（可能需要大量显存）。" }, "preserve_wrapper": { "name": "保留包装器", "tooltip": "启用时，如果存在现有模型函数包装器，将委托给该包装器。通常应保持启用状态。" }, "start_sigma": { "name": "起始sigma", "tooltip": "这些选项生效的第一个sigma值。" } }, "outputs": { "0": { "tooltip": null } } }, "ColorToRGBInt": { "description": "将颜色转换为RGB整数值。", "display_name": "颜色转RGB整数", "inputs": { "color": { "name": "颜色" } }, "outputs": { "0": { "name": "rgb整数", "tooltip": null } } }, "CombineHooks2": { "display_name": "组合约束 [2]", "inputs": { "hooks_A": { "name": "约束_A" }, "hooks_B": { "name": "约束_B" } } }, "CombineHooks4": { "display_name": "组合约束 [4]", "inputs": { "hooks_A": { "name": "约束_A" }, "hooks_B": { "name": "约束_B" }, "hooks_C": { "name": "约束_C" }, "hooks_D": { "name": "约束_D" } } }, "CombineHooks8": { "display_name": "组合约束 [8]", "inputs": { "hooks_A": { "name": "约束_A" }, "hooks_B": { "name": "约束_B" }, "hooks_C": { "name": "约束_C" }, "hooks_D": { "name": "约束_D" }, "hooks_E": { "name": "约束_E" }, "hooks_F": { "name": "约束_F" }, "hooks_G": { "name": "约束_G" }, "hooks_H": { "name": "约束_H" } } }, "ComfySwitchNode": { "display_name": "切换", "inputs": { "on_false": { "name": "为假时" }, "on_true": { "name": "为真时" }, "switch": { "name": "切换" } }, "outputs": { "0": { "name": "输出", "tooltip": null } } }, "ConditioningAverage": { "display_name": "条件平均", "inputs": { "conditioning_from": { "name": "条件从" }, "conditioning_to": { "name": "条件到" }, "conditioning_to_strength": { "name": "条件到强度" } } }, "ConditioningCombine": { "display_name": "条件合并", "inputs": { "conditioning_1": { "name": "条件_1" }, "conditioning_2": { "name": "条件_2" } } }, "ConditioningConcat": { "display_name": "条件连接", "inputs": { "conditioning_from": { "name": "条件从" }, "conditioning_to": { "name": "条件到" } } }, "ConditioningSetArea": { "display_name": "条件采样区域", "inputs": { "conditioning": { "name": "条件" }, "height": { "name": "高度" }, "strength": { "name": "强度" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } } }, "ConditioningSetAreaPercentage": { "display_name": "条件采样区域（系数）", "inputs": { "conditioning": { "name": "条件化" }, "height": { "name": "高度" }, "strength": { "name": "强度" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } } }, "ConditioningSetAreaPercentageVideo": { "display_name": "调节设置区域百分比视频", "inputs": { "conditioning": { "name": "调节" }, "height": { "name": "高度" }, "strength": { "name": "强度" }, "temporal": { "name": "时间" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" }, "z": { "name": "z" } } }, "ConditioningSetAreaStrength": { "display_name": "条件采样区域强度", "inputs": { "conditioning": { "name": "条件化" }, "strength": { "name": "强度" } } }, "ConditioningSetDefaultCombine": { "display_name": "条件设置默认合并", "inputs": { "cond": { "name": "条件" }, "cond_DEFAULT": { "name": "默认条件" }, "hooks": { "name": "约束" } } }, "ConditioningSetMask": { "display_name": "条件遮罩", "inputs": { "conditioning": { "name": "条件化" }, "mask": { "name": "遮罩" }, "set_cond_area": { "name": "设置条件区域" }, "strength": { "name": "强度" } } }, "ConditioningSetProperties": { "display_name": "条件设置属性", "inputs": { "cond_NEW": { "name": "新条件" }, "hooks": { "name": "约束" }, "mask": { "name": "遮罩" }, "set_cond_area": { "name": "设置条件区域" }, "strength": { "name": "强度" }, "timesteps": { "name": "间隔" } } }, "ConditioningSetPropertiesAndCombine": { "display_name": "条件设置属性合并", "inputs": { "cond": { "name": "条件" }, "cond_NEW": { "name": "新条件" }, "hooks": { "name": "约束" }, "mask": { "name": "遮罩" }, "set_cond_area": { "name": "设置条件区域" }, "strength": { "name": "强度" }, "timesteps": { "name": "间隔" } } }, "ConditioningSetTimestepRange": { "display_name": "设置条件时间", "inputs": { "conditioning": { "name": "条件" }, "end": { "name": "结束" }, "start": { "name": "开始" } } }, "ConditioningStableAudio": { "display_name": "StableAudio条件", "inputs": { "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "seconds_start": { "name": "开始秒数" }, "seconds_total": { "name": "总秒数" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null } } }, "ConditioningTimestepsRange": { "display_name": "条件间隔范围", "inputs": { "end_percent": { "name": "结束百分比" }, "start_percent": { "name": "开始百分比" } }, "outputs": { "1": { "name": "范围前" }, "2": { "name": "范围后" } } }, "ConditioningZeroOut": { "display_name": "条件零化", "inputs": { "conditioning": { "name": "条件" } } }, "ContextWindowsManual": { "description": "手动设置上下文窗口。", "display_name": "上下文窗口（手动）", "inputs": { "closed_loop": { "name": "闭环", "tooltip": "是否闭合上下文窗口循环；仅适用于循环调度。" }, "context_length": { "name": "上下文长度", "tooltip": "上下文窗口的长度。" }, "context_overlap": { "name": "上下文重叠", "tooltip": "上下文窗口的重叠量。" }, "context_schedule": { "name": "上下文调度", "tooltip": "上下文窗口的步长。" }, "context_stride": { "name": "上下文步幅", "tooltip": "上下文窗口的步幅；仅适用于均匀调度。" }, "dim": { "name": "维度", "tooltip": "应用上下文窗口的维度。" }, "freenoise": { "name": "Freenoise", "tooltip": "是否应用 Freenoise，优化窗口融合。" }, "fuse_method": { "name": "融合方法", "tooltip": "用于融合上下文窗口的方法。" }, "model": { "name": "模型", "tooltip": "在采样期间应用上下文窗口的模型。" } }, "outputs": { "0": { "tooltip": "在采样过程中应用上下文窗口的模型。" } } }, "ControlNetApply": { "display_name": "应用ControlNet（旧版）", "inputs": { "conditioning": { "name": "条件" }, "control_net": { "name": "ControlNet" }, "image": { "name": "图像" }, "strength": { "name": "强度" } } }, "ControlNetApplyAdvanced": { "display_name": "应用ControlNet（旧版高级）", "inputs": { "control_net": { "name": "ControlNet" }, "end_percent": { "name": "结束百分比" }, "image": { "name": "图像" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_percent": { "name": "开始百分比" }, "strength": { "name": "强度" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" } } }, "ControlNetApplySD3": { "display_name": "应用ControlNet", "inputs": { "control_net": { "name": "ControlNet" }, "end_percent": { "name": "结束百分比" }, "image": { "name": "图像" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_percent": { "name": "开始百分比" }, "strength": { "name": "强度" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null } } }, "ControlNetInpaintingAliMamaApply": { "display_name": "应用ControlNet（阿里妈妈局部重绘）", "inputs": { "control_net": { "name": "ControlNet" }, "end_percent": { "name": "结束百分比" }, "image": { "name": "图像" }, "mask": { "name": "遮罩" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_percent": { "name": "开始百分比" }, "strength": { "name": "强度" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null } } }, "ControlNetLoader": { "display_name": "加载ControlNet模型", "inputs": { "control_net_name": { "name": "ControlNet名称" } } }, "CosmosImageToVideoLatent": { "display_name": "图像到视频Latent（Cosmos）", "inputs": { "batch_size": { "name": "批量大小" }, "end_image": { "name": "结束图像" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "start_image": { "name": "开始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "CosmosPredict2ImageToVideoLatent": { "display_name": "图像到视频Latent（CosmosPredict2）", "inputs": { "batch_size": { "name": "批次大小" }, "end_image": { "name": "结束图像" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "start_image": { "name": "起始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "CreateHookKeyframe": { "display_name": "创建约束关键帧", "inputs": { "prev_hook_kf": { "name": "前一个约束关键帧" }, "start_percent": { "name": "开始百分比" }, "strength_mult": { "name": "强度倍数" } }, "outputs": { "0": { "name": "约束关键帧" } } }, "CreateHookKeyframesFromFloats": { "display_name": "从浮点数创建约束关键帧", "inputs": { "end_percent": { "name": "结束百分比" }, "floats_strength": { "name": "浮点强度" }, "prev_hook_kf": { "name": "前一个约束关键帧" }, "print_keyframes": { "name": "打印关键帧" }, "start_percent": { "name": "开始百分比" } }, "outputs": { "0": { "name": "约束关键帧" } } }, "CreateHookKeyframesInterpolated": { "display_name": "创建约束关键帧插值", "inputs": { "end_percent": { "name": "结束百分比" }, "interpolation": { "name": "插值" }, "keyframes_count": { "name": "关键帧数量" }, "prev_hook_kf": { "name": "前一个约束关键帧" }, "print_keyframes": { "name": "打印关键帧" }, "start_percent": { "name": "开始百分比" }, "strength_end": { "name": "结束强度" }, "strength_start": { "name": "开始强度" } }, "outputs": { "0": { "name": "约束关键帧" } } }, "CreateHookLora": { "display_name": "创建约束LoRA", "inputs": { "lora_name": { "name": "LoRA名称" }, "prev_hooks": { "name": "前一个约束" }, "strength_clip": { "name": "CLIP强度" }, "strength_model": { "name": "模型强度" } } }, "CreateHookLoraModelOnly": { "display_name": "创建约束LoRA（仅模型）", "inputs": { "lora_name": { "name": "LoRA名称" }, "prev_hooks": { "name": "前一个约束" }, "strength_model": { "name": "模型强度" } } }, "CreateHookModelAsLora": { "display_name": "创建约束模型为LoRA", "inputs": { "ckpt_name": { "name": "Checkpoint名称" }, "prev_hooks": { "name": "前一个约束" }, "strength_clip": { "name": "CLIP强度" }, "strength_model": { "name": "模型强度" } } }, "CreateHookModelAsLoraModelOnly": { "display_name": "创建约束模型为LoRA（仅模型）", "inputs": { "ckpt_name": { "name": "Checkpoint名称" }, "prev_hooks": { "name": "前一个约束" }, "strength_model": { "name": "模型强度" } } }, "CreateList": { "display_name": "创建列表", "inputs": { "inputs": { "name": "输入" } }, "outputs": { "0": { "name": "列表", "tooltip": null } } }, "CreateVideo": { "description": "从图像创建视频。", "display_name": "创建视频", "inputs": { "audio": { "name": "音频", "tooltip": "要添加到视频中的音频。" }, "fps": { "name": "帧率" }, "images": { "name": "图像", "tooltip": "用于创建视频的图像。" } }, "outputs": { "0": { "tooltip": null } } }, "CropMask": { "display_name": "裁剪遮罩", "inputs": { "height": { "name": "高度" }, "mask": { "name": "遮罩" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } }, "outputs": { "0": { "tooltip": null } } }, "CustomCombo": { "display_name": "自定义组合", "inputs": { "choice": { "name": "选择" }, "index": {}, "option1": {} }, "outputs": [ null, { "name": "索引", "tooltip": null } ] }, "DiffControlNetLoader": { "display_name": "加载ControlNet模型（diff）", "inputs": { "control_net_name": { "name": "ControlNet名称" }, "model": { "name": "模型" } } }, "DifferentialDiffusion": { "display_name": "差异扩散DifferentialDiffusion", "inputs": { "model": { "name": "模型" }, "strength": { "name": "强度" } }, "outputs": { "0": { "tooltip": null } } }, "DiffusersLoader": { "display_name": "Diffusers加载器", "inputs": { "model_path": { "name": "模型路径" } } }, "DisableNoise": { "display_name": "禁用噪波", "outputs": { "0": { "tooltip": null } } }, "DualCFGGuider": { "display_name": "双CFG引导器", "inputs": { "cfg_cond2_negative": { "name": "cfg_条件2_负面" }, "cfg_conds": { "name": "cfg_条件1" }, "cond1": { "name": "条件1" }, "cond2": { "name": "条件2" }, "model": { "name": "模型" }, "negative": { "name": "负面条件" }, "style": { "name": "样式" } }, "outputs": { "0": { "tooltip": null } } }, "DualCLIPLoader": { "description": "[配方]\n\nSDXL：clip-l，clip-g\nSD3：clip-l，clip-g / clip-l，t5 / clip-g，t5\nFlux：clip-l，t5", "display_name": "双CLIP加载器", "inputs": { "clip_name1": { "name": "CLIP名称1" }, "clip_name2": { "name": "CLIP名称2" }, "device": { "name": "设备" }, "type": { "name": "类型" } } }, "EasyCache": { "description": "原生 EasyCache 实现。", "display_name": "EasyCache", "inputs": { "end_percent": { "name": "结束位置", "tooltip": "结束使用 EasyCache 的相对采样步数。" }, "model": { "name": "模型", "tooltip": "要添加 EasyCache 的模型。" }, "reuse_threshold": { "name": "重用阈值", "tooltip": "重用缓存步骤的阈值。" }, "start_percent": { "name": "开始位置", "tooltip": "开始使用 EasyCache 的相对采样步数。" }, "verbose": { "name": "调试信息", "tooltip": "是否记录详细信息。" } }, "outputs": { "0": { "tooltip": "带有 EasyCache 的模型。" } } }, "EmptyAceStep1_5LatentAudio": { "display_name": "Empty Ace Step 1.5 潜空间音频", "inputs": { "batch_size": { "name": "批量大小", "tooltip": "批次中的潜空间图像数量。" }, "seconds": { "name": "秒数" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyAceStepLatentAudio": { "display_name": "空Latent音频（AceStep）", "inputs": { "batch_size": { "name": "批次大小", "tooltip": "批次中的 Latent 数量。" }, "seconds": { "name": "秒数" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyAudio": { "display_name": "空音频", "inputs": { "channels": { "name": "通道", "tooltip": "音频通道数（1 为单声道，2 为立体声）。" }, "duration": { "name": "长度", "tooltip": "空音频片段的持续时间（秒）" }, "sample_rate": { "name": "采样率", "tooltip": "空音频片段的采样率。" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyChromaRadianceLatentImage": { "display_name": "空Latent图像（ChromaRadiance）", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyCosmosLatentVideo": { "display_name": "空Latent视频（Cosmos）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyFlux2LatentImage": { "display_name": "空Latent图像（Flux2）", "inputs": { "batch_size": { "name": "batch_size" }, "height": { "name": "height" }, "width": { "name": "width" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyHunyuanImageLatent": { "display_name": "空Latent图像（Hunyuan）", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyHunyuanLatentVideo": { "display_name": "空Latent视频（Hunyuan）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyHunyuanVideo15Latent": { "display_name": "空Latent视频（Hunyuan1.5）", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "length": { "name": "时长" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyImage": { "display_name": "空图像", "inputs": { "batch_size": { "name": "批量大小" }, "color": { "name": "颜色" }, "height": { "name": "高度" }, "width": { "name": "宽度" } } }, "EmptyLTXVLatentVideo": { "display_name": "空Latent视频（LTXV）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyLatentAudio": { "display_name": "空Latent音频", "inputs": { "batch_size": { "name": "批量大小", "tooltip": "批次中的Latent数量。" }, "seconds": { "name": "秒" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyLatentHunyuan3Dv2": { "display_name": "空Latent图像（Hunyuan3Dv2）", "inputs": { "batch_size": { "name": "批次大小", "tooltip": "批次中的Latent数量。" }, "resolution": { "name": "分辨率" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyLatentImage": { "description": "创建一批新的空Latent图像，以通过采样进行降噪。", "display_name": "空Latent图像", "inputs": { "batch_size": { "name": "批量大小", "tooltip": "批次中的Latent数量。" }, "height": { "name": "高度", "tooltip": "Latent图像的高度（像素）。" }, "width": { "name": "宽度", "tooltip": "Latent图像的宽度（像素）。" } }, "outputs": { "0": { "tooltip": "空Latent图像批次。" } } }, "EmptyMochiLatentVideo": { "display_name": "空Latent视频（Mochi）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptyQwenImageLayeredLatentImage": { "display_name": "空Latent图像（QwenImageLayerd）", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "layers": { "name": "图层" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "EmptySD3LatentImage": { "display_name": "空Latent图像（SD3）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "Epsilon Scaling": { "display_name": "Epsilon缩放", "inputs": { "model": { "name": "模型" }, "scaling_factor": { "name": "系数" } }, "outputs": { "0": { "tooltip": null } } }, "ExponentialScheduler": { "display_name": "Exponential调度器", "inputs": { "sigma_max": { "name": "最大Sigma" }, "sigma_min": { "name": "最小Sigma" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "ExtendIntermediateSigmas": { "display_name": "插值扩展Sigmas", "inputs": { "end_at_sigma": { "name": "结束 sigma" }, "sigmas": { "name": "sigmas" }, "spacing": { "name": "间距方式" }, "start_at_sigma": { "name": "起始 sigma" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "FeatherMask": { "display_name": "羽化遮罩", "inputs": { "bottom": { "name": "底" }, "left": { "name": "左" }, "mask": { "name": "遮罩" }, "right": { "name": "右" }, "top": { "name": "顶" } }, "outputs": { "0": { "tooltip": null } } }, "FlipSigmas": { "display_name": "翻转Sigma", "inputs": { "sigmas": { "name": "sigmas" } }, "outputs": { "0": { "tooltip": null } } }, "Flux2MaxImageNode": { "description": "根据提示词和分辨率同步生成图像。", "display_name": "Flux.2 [max] 图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "height": { "name": "高度" }, "images": { "name": "图像", "tooltip": "参考图像（最多9张）" }, "prompt": { "name": "提示词", "tooltip": "用于生成或编辑的提示词" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "选择启用提示词采样，启用后会自动修改提示词生成更具创意的内容。" }, "seed": { "name": "随机种", "tooltip": "创建噪波的随机种" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "Flux2ProImageNode": { "description": "根据提示词和分辨率同步生成图像。", "display_name": "Flux.2 [pro] 图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "height": { "name": "高度" }, "images": { "name": "图像", "tooltip": "参考图像（最多9张）" }, "prompt": { "name": "提示词", "tooltip": "用于生成或编辑的提示词" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "选择启用提示词采样，启用后会自动修改提示词生成更具创意的内容。" }, "seed": { "name": "随机种", "tooltip": "创建噪波的随机种" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "Flux2Scheduler": { "display_name": "Flux2调度器", "inputs": { "height": { "name": "高度" }, "steps": { "name": "步数" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "FluxDisableGuidance": { "description": "此节点完全禁用Flux和类似Flux模型上的引导嵌入", "display_name": "Flux禁用指导", "inputs": { "conditioning": { "name": "条件" } }, "outputs": { "0": { "tooltip": null } } }, "FluxGuidance": { "display_name": "Flux引导", "inputs": { "conditioning": { "name": "条件" }, "guidance": { "name": "引导" } }, "outputs": { "0": { "tooltip": null } } }, "FluxKontextImageScale": { "description": "将图像调整为更适合 Flux Kontext 的尺寸。", "display_name": "图像缩放为FluxKontext", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "FluxKontextMaxImageNode": { "description": "使用Flux.1 Kontext [max]通过API基于提示词和宽高比编辑图像。", "display_name": "Flux.1 Kontext [max] 图像", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "图像宽高比；必须在1:4和4:1之间。" }, "control_after_generate": { "name": "生成后控制" }, "guidance": { "name": "引导强度", "tooltip": "图像生成过程的引导强度" }, "input_image": { "name": "输入图像" }, "prompt": { "name": "提示词", "tooltip": "图像生成的提示词 - 指定编辑内容和方式。" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "是否对提示词执行上采样。如果启用，会自动修改提示词以获得更具创意的生成结果，但结果具有不确定性（相同种子不会产生完全相同的结果）。" }, "seed": { "name": "种子", "tooltip": "用于创建噪声的随机种子。" }, "steps": { "name": "步数", "tooltip": "图像生成过程的步数" } }, "outputs": { "0": { "tooltip": null } } }, "FluxKontextMultiReferenceLatentMethod": { "display_name": "FluxKontext多参考潜在方法", "inputs": { "conditioning": { "name": "条件化" }, "reference_latents_method": { "name": "参考潜在方法" } }, "outputs": { "0": { "tooltip": null } } }, "FluxKontextProImageNode": { "description": "使用Flux.1 Kontext [pro]通过API基于提示词和宽高比编辑图像。", "display_name": "Flux.1 Kontext [pro] 图像", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "图像宽高比；必须在1:4到4:1之间。" }, "control_after_generate": { "name": "生成后控制" }, "guidance": { "name": "引导强度", "tooltip": "图像生成过程的引导强度" }, "input_image": { "name": "输入图像" }, "prompt": { "name": "提示词", "tooltip": "图像生成的提示词 - 指定编辑内容和方式。" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "是否对提示词执行上采样。如果启用，会自动修改提示词以获得更具创意的生成结果，但结果具有不确定性（相同种子不会产生完全相同的结果）。" }, "seed": { "name": "种子", "tooltip": "用于创建噪声的随机种子。" }, "steps": { "name": "步数", "tooltip": "图像生成过程的步数" } }, "outputs": { "0": { "tooltip": null } } }, "FluxProExpandNode": { "description": "根据提示词对图像进行外扩。", "display_name": "Flux.1 扩展图像", "inputs": { "bottom": { "name": "下方扩展", "tooltip": "在图像底部扩展的像素数" }, "control_after_generate": { "name": "生成后控制" }, "guidance": { "name": "引导强度", "tooltip": "图像生成过程中的引导强度" }, "image": { "name": "图像" }, "left": { "name": "左侧扩展", "tooltip": "在图像左侧扩展的像素数" }, "prompt": { "name": "提示词", "tooltip": "用于生成图像的提示词" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "是否对提示词进行上采样。启用后会自动修改提示词以获得更具创意的生成效果，但结果具有不确定性（相同种子不会产生完全相同的结果）。" }, "right": { "name": "右侧扩展", "tooltip": "在图像右侧扩展的像素数" }, "seed": { "name": "种子", "tooltip": "用于生成噪声的随机种子。" }, "steps": { "name": "步数", "tooltip": "图像生成过程的步数" }, "top": { "name": "上方扩展", "tooltip": "在图像顶部扩展的像素数" } }, "outputs": { "0": { "tooltip": null } } }, "FluxProFillNode": { "description": "根据 mask 和提示词对图像进行修复填充。", "display_name": "Flux.1 填充图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "guidance": { "name": "引导强度", "tooltip": "图像生成过程中的引导强度" }, "image": { "name": "图像" }, "mask": { "name": "遮罩" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "是否对提示词进行上采样。启用后会自动修改提示词以获得更具创意的生成效果，但结果具有不确定性（相同种子不会产生完全相同的结果）。" }, "seed": { "name": "种子", "tooltip": "用于生成噪声的随机种子。" }, "steps": { "name": "步数", "tooltip": "图像生成过程的步数" } }, "outputs": { "0": { "tooltip": null } } }, "FluxProUltraImageNode": { "description": "通过 API 使用 Flux Pro 1.1 Ultra 根据提示词和分辨率生成图像。", "display_name": "Flux 1.1 [pro] Ultra Image", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "图像的宽高比；必须在 1:4 到 4:1 之间。" }, "control_after_generate": { "name": "生成后控制" }, "image_prompt": { "name": "图像提示词" }, "image_prompt_strength": { "name": "图像提示词强度", "tooltip": "在提示词和图像提示词之间进行混合。" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词" }, "prompt_upsampling": { "name": "提示词上采样", "tooltip": "是否对提示词进行上采样。启用时，会自动修改提示词以获得更具创意的生成效果，但结果是非确定性的（相同种子不会产生完全相同的结果）。" }, "raw": { "name": "原始", "tooltip": "为 True 时，生成更少处理、更自然的图像。" }, "seed": { "name": "种子", "tooltip": "用于生成噪声的随机种子。" } }, "outputs": { "0": { "tooltip": null } } }, "FreSca": { "description": "对引导应用频率相关的缩放", "display_name": "FreSca", "inputs": { "freq_cutoff": { "name": "低频阈值", "tooltip": "围绕中心被视为低频的频率索引数量" }, "model": { "name": "模型" }, "scale_high": { "name": "高频缩放", "tooltip": "高频分量的缩放因子" }, "scale_low": { "name": "低频缩放", "tooltip": "低频分量的缩放因子" } }, "outputs": { "0": { "tooltip": null } } }, "FreeU": { "display_name": "FreeU", "inputs": { "b1": { "name": "b1" }, "b2": { "name": "b2" }, "model": { "name": "模型" }, "s1": { "name": "s1" }, "s2": { "name": "s2" } }, "outputs": { "0": { "tooltip": null } } }, "FreeU_V2": { "display_name": "FreeU_V2", "inputs": { "b1": { "name": "b1" }, "b2": { "name": "b2" }, "model": { "name": "模型" }, "s1": { "name": "s1" }, "s2": { "name": "s2" } }, "outputs": { "0": { "tooltip": null } } }, "GITSScheduler": { "display_name": "GITS调度器", "inputs": { "coeff": { "name": "系数" }, "denoise": { "name": "降噪" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "GLIGENLoader": { "display_name": "GLIGEN加载器", "inputs": { "gligen_name": { "name": "gligen名称" } } }, "GLIGENTextBoxApply": { "display_name": "GLIGEN文本框应用", "inputs": { "clip": { "name": "CLIP" }, "conditioning_to": { "name": "条件到" }, "gligen_textbox_model": { "name": "GLIGEN文本框模型" }, "height": { "name": "高度" }, "text": { "name": "文本" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } } }, "GeminiImage2Node": { "description": "通过Google API编辑图像。", "display_name": "Nano Banana Pro（Google Gemini 图像）", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "自动：会自动匹配输入图像的宽高比，或如果没有提供图像，则生成1:1的正方形。" }, "control_after_generate": { "name": "生成后控制" }, "files": { "name": "文件", "tooltip": "模型上下文文件。接受来自 Gemini输入文件 节点的输入。" }, "images": { "name": "图像", "tooltip": "参考图像。如果要使用多个参考图，使用 图像批次 节点（最多14张）。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "使用文本描述要生成的图像或要应用的编辑的内容。包括模型应该遵循的任何约束、样式或细节。" }, "resolution": { "name": "分辨率", "tooltip": "目标分辨率。2K/4K 会使用 Gemini 放大生成。" }, "response_modalities": { "name": "响应模态", "tooltip": "选择 图像 仅生成图像，选择 图像+文本 会生成图像和文本。" }, "seed": { "name": "随机种", "tooltip": "为特定值时，模型将尽可能提供相同的结果。但不保证确定一致的输出。此外，即使使用相同的种子值，更改模型或参数设置（例如温度）也会导致结果变化。默认使用随机值。" }, "system_prompt": { "name": "系统提示词", "tooltip": "决定 AI 行为的基本指令。" } }, "outputs": { "0": { "tooltip": null }, "1": { "tooltip": null } } }, "GeminiImageNode": { "description": "通过Google API同步编辑图像。", "display_name": "Nano Banana （Google Gemini 图像）", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "默认匹配输入图像的输出尺寸，否则生成1:1正方形。" }, "control_after_generate": { "name": "生成后控制" }, "files": { "name": "文件", "tooltip": "可选文件，用作模型的上下文。接受来自Gemini生成内容输入文件节点的输入。" }, "images": { "name": "图像", "tooltip": "可选图像，用作模型的上下文。要包含多个图像，可以使用批量图像节点。" }, "model": { "name": "模型", "tooltip": "用于生成响应的Gemini模型。" }, "prompt": { "name": "提示词", "tooltip": "用于生成的文本提示词" }, "response_modalities": { "name": "回复模态", "tooltip": "选择“图像”仅输出图像，选择“图像+文本”输出图像和文本。" }, "seed": { "name": "种子", "tooltip": "当种子固定为特定值时，模型会尽力为重复请求提供相同的响应。不能保证确定性输出。此外，更改模型或参数设置（如温度）即使使用相同的种子值也可能导致响应变化。默认使用随机种子值。" }, "system_prompt": { "name": "系统提示词", "tooltip": "决定 AI 行为的基本指令。" } }, "outputs": { "0": { "tooltip": null }, "1": { "tooltip": null } } }, "GeminiInputFiles": { "description": "加载并准备输入文件，作为 Gemini LLM 节点的输入。文件将在生成响应时由 Gemini 模型读取。文本文件的内容计入令牌限制。🛈 提示：可与其他 Gemini 输入文件节点链式连接。", "display_name": "Gemini 输入文件", "inputs": { "GEMINI_INPUT_FILES": { "name": "Gemini 输入文件", "tooltip": "与此节点加载的文件批量组合的可选附加文件。允许链式连接输入文件，以便单个消息可包含多个输入文件。" }, "file": { "name": "文件", "tooltip": "作为模型上下文包含的输入文件。目前仅接受文本 (.txt) 和 PDF (.pdf) 文件。" } }, "outputs": { "0": { "tooltip": null } } }, "GeminiNode": { "description": "使用 Google 的 Gemini AI 模型生成文本响应。您可以提供多种类型的输入（文本、图像、音频、视频）作为上下文，以生成更相关和有意义的响应。", "display_name": "Google Gemini", "inputs": { "audio": { "name": "音频", "tooltip": "用作模型上下文的可选音频。" }, "control_after_generate": { "name": "生成后控制" }, "files": { "name": "文件", "tooltip": "用作模型上下文的可选文件。接受来自 Gemini 生成内容输入文件节点的输入。" }, "images": { "name": "图像", "tooltip": "用作模型上下文的可选图像。要包含多个图像，可使用批处理图像节点。" }, "model": { "name": "模型", "tooltip": "用于生成响应的 Gemini 模型。" }, "prompt": { "name": "提示", "tooltip": "模型的文本输入，用于生成响应。您可以包含详细的指令、问题或模型上下文。" }, "seed": { "name": "种子", "tooltip": "当种子固定为特定值时，模型会尽力为重复请求提供相同的响应。不保证确定性输出。此外，更改模型或参数设置（如温度）即使使用相同的种子值也可能导致响应变化。默认使用随机种子值。" }, "system_prompt": { "name": "系统提示词", "tooltip": "决定 AI 行为的基本指令。" }, "video": { "name": "视频", "tooltip": "用作模型上下文的可选视频。" } }, "outputs": { "0": { "tooltip": null } } }, "GenerateTracks": { "display_name": "生成轨道", "inputs": { "bezier": { "name": "贝塞尔曲线", "tooltip": "贝塞尔曲线路径，使用中点作为控制点。" }, "end_x": { "name": "结束点X", "tooltip": "结束点的规格化X坐标（0-1）。" }, "end_y": { "name": "结束点Y", "tooltip": "结束点的规格化Y坐标（0-1）。" }, "height": { "name": "高度" }, "interpolation": { "name": "插值", "tooltip": "控制轨迹沿着路径移动的时间/速度。" }, "mid_x": { "name": "中间点Y", "tooltip": "中间点的规格化Y坐标（0-1）。" }, "mid_y": { "name": "中间点Y", "tooltip": "中间点的规格化Y坐标（0-1）。" }, "num_frames": { "name": "帧数" }, "num_tracks": { "name": "轨迹数" }, "start_x": { "name": "起始点X", "tooltip": "起始点的规格化X坐标（0-1）。" }, "start_y": { "name": "起始点Y", "tooltip": "起始点的规格化Y坐标（0-1）。" }, "track_mask": { "name": "轨道遮罩", "tooltip": "遮罩，用于标记可见帧" }, "track_spread": { "name": "轨道分布", "tooltip": "轨道间的规格化距离。垂直于轨迹运动方向展开。" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "轨迹长度", "tooltip": null } } }, "GetImageSize": { "description": "返回图像的宽度和高度，并原样传递图像。", "display_name": "获取图像尺寸", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "name": "宽度", "tooltip": null }, "1": { "name": "高度", "tooltip": null }, "2": { "name": "批处理大小", "tooltip": null } } }, "GetVideoComponents": { "description": "提取视频中的所有元素：帧、音频和帧率。", "display_name": "获取视频元素", "inputs": { "video": { "name": "视频", "tooltip": "要提取元素的视频。" } }, "outputs": { "0": { "name": "图像", "tooltip": null }, "1": { "name": "音频", "tooltip": null }, "2": { "name": "帧率", "tooltip": null } } }, "GrokImageEditNode": { "description": "根据文本提示修改现有图像", "display_name": "Grok 图像编辑", "inputs": { "control_after_generate": { "name": "control after generate" }, "image": { "name": "image" }, "model": { "name": "model" }, "number_of_images": { "name": "number_of_images", "tooltip": "要生成的编辑图像数量" }, "prompt": { "name": "prompt", "tooltip": "用于生成图像的文本提示" }, "resolution": { "name": "resolution" }, "seed": { "name": "seed", "tooltip": "用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "GrokImageNode": { "description": "使用 Grok 根据文本提示生成图像", "display_name": "Grok 图像", "inputs": { "aspect_ratio": { "name": "aspect_ratio" }, "control_after_generate": { "name": "control after generate" }, "model": { "name": "model" }, "number_of_images": { "name": "number_of_images", "tooltip": "要生成的图像数量" }, "prompt": { "name": "prompt", "tooltip": "用于生成图像的文本提示" }, "seed": { "name": "seed", "tooltip": "用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "GrokVideoEditNode": { "description": "根据文本提示编辑现有视频。", "display_name": "Grok 视频编辑", "inputs": { "control_after_generate": { "name": "control after generate" }, "model": { "name": "model" }, "prompt": { "name": "prompt", "tooltip": "所需视频的文本描述。" }, "seed": { "name": "seed", "tooltip": "用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。" }, "video": { "name": "video", "tooltip": "最大支持时长为 8.7 秒，文件大小为 50MB。" } }, "outputs": { "0": { "tooltip": null } } }, "GrokVideoNode": { "description": "根据提示或图像生成视频", "display_name": "Grok 视频", "inputs": { "aspect_ratio": { "name": "aspect_ratio", "tooltip": "输出视频的宽高比。" }, "control_after_generate": { "name": "control after generate" }, "duration": { "name": "duration", "tooltip": "输出视频的时长（秒）。" }, "image": { "name": "image" }, "model": { "name": "model" }, "prompt": { "name": "prompt", "tooltip": "所需视频的文本描述。" }, "resolution": { "name": "resolution", "tooltip": "输出视频的分辨率。" }, "seed": { "name": "seed", "tooltip": "用于确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "GrowMask": { "display_name": "扩展遮罩", "inputs": { "expand": { "name": "扩展" }, "mask": { "name": "遮罩" }, "tapered_corners": { "name": "倒角" } }, "outputs": { "0": { "tooltip": null } } }, "HitPawGeneralImageEnhance": { "description": "将低分辨率图像放大至超分辨率，消除伪影和噪点。最大输出：3200万像素。", "display_name": "HitPaw 通用图像增强", "inputs": { "auto_downscale": { "name": "自动缩小", "tooltip": "如果输出超出限制，自动缩小输入图像。" }, "image": { "name": "图像" }, "model": { "name": "模型" }, "upscale_factor": { "name": "放大倍数" } }, "outputs": { "0": { "tooltip": null } } }, "HitPawVideoEnhance": { "description": "将低分辨率视频放大至高分辨率，消除伪影和噪点。价格按视频每秒计费。", "display_name": "HitPaw 视频增强", "inputs": { "model": { "name": "模型" }, "model_resolution": { "name": "分辨率" }, "video": { "name": "视频" } }, "outputs": { "0": { "tooltip": null } } }, "Hunyuan3Dv2Conditioning": { "display_name": "Hunyuan3Dv2条件", "inputs": { "clip_vision_output": { "name": "clip视觉输出" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "反向", "tooltip": null } } }, "Hunyuan3Dv2ConditioningMultiView": { "display_name": "Hunyuan3Dv2条件多视角", "inputs": { "back": { "name": "后" }, "front": { "name": "前" }, "left": { "name": "左" }, "right": { "name": "右" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "反向", "tooltip": null } } }, "HunyuanImageToVideo": { "display_name": "图像到视频（Hunyuan）", "inputs": { "batch_size": { "name": "批量大小" }, "guidance_type": { "name": "指导类型" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "positive": { "name": "正向" }, "start_image": { "name": "起始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "Latent", "tooltip": null } } }, "HunyuanRefinerLatent": { "display_name": "HunyuanRefinerLatent", "inputs": { "latent": { "name": "Latent" }, "negative": { "name": "负面" }, "noise_augmentation": { "name": "噪声增强" }, "positive": { "name": "正面" } }, "outputs": { "0": { "name": "正面", "tooltip": null }, "1": { "name": "负面", "tooltip": null }, "2": { "name": "潜在", "tooltip": null } } }, "HunyuanVideo15ImageToVideo": { "display_name": "图像到视频（Hunyuan Video 15 ）", "inputs": { "batch_size": { "name": "批次大小" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "height": { "name": "高度" }, "length": { "name": "帧数" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_image": { "name": "图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "latent", "tooltip": null } } }, "HunyuanVideo15LatentUpscaleWithModel": { "display_name": "Hunyuan Video 15 Latent 使用模型放大", "inputs": { "crop": { "name": "裁剪" }, "height": { "name": "高度" }, "model": { "name": "模型" }, "samples": { "name": "Latent" }, "upscale_method": { "name": "放大方法" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "HunyuanVideo15SuperResolution": { "display_name": "Hunyuan Video 15超分辨率", "inputs": { "clip_vision_output": { "name": "CLIP视觉输出" }, "latent": { "name": "latent" }, "negative": { "name": "负面条件" }, "noise_augmentation": { "name": "噪波增强" }, "positive": { "name": "正面条件" }, "start_image": { "name": "图像" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "HyperTile": { "display_name": "超分块HyperTile", "inputs": { "max_depth": { "name": "最大深度" }, "model": { "name": "模型" }, "scale_depth": { "name": "规模深度" }, "swap_size": { "name": "分割尺寸" }, "tile_size": { "name": "分块尺寸" } }, "outputs": { "0": { "tooltip": null } } }, "HypernetworkLoader": { "display_name": "超网络加载器", "inputs": { "hypernetwork_name": { "name": "HyperNetwork名称" }, "model": { "name": "模型" }, "strength": { "name": "强度" } }, "outputs": { "0": { "tooltip": null } } }, "IdeogramV1": { "description": "使用 Ideogram V1 模型同步生成图像。\n\n图片链接仅在有限时间内有效；如果您想保留图片，请务必下载。", "display_name": "Ideogram V1", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "图像生成的宽高比。" }, "control_after_generate": { "name": "生成后控制" }, "magic_prompt_option": { "name": "Magic Prompt", "tooltip": "确定生成时是否使用 MagicPrompt" }, "negative_prompt": { "name": "负面提示词", "tooltip": "描述需要从图像中排除的内容" }, "num_images": { "name": "图像数量" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词" }, "seed": { "name": "随机种" }, "turbo": { "name": "turbo", "tooltip": "是否启用 turbo 模式（生成更快，但可能质量较低）" } }, "outputs": { "0": { "tooltip": null } } }, "IdeogramV2": { "description": "使用 Ideogram V2 模型同步生成图像。\n\n图像链接仅在有限时间内有效；如果您想保留图像，请务必下载。", "display_name": "Ideogram V2", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "图像生成的宽高比。如果分辨率未设置为 AUTO，则此项无效。" }, "control_after_generate": { "name": "生成后控制" }, "magic_prompt_option": { "name": "Magic Prompt", "tooltip": "确定生成时是否使用 MagicPrompt" }, "negative_prompt": { "name": "负面提示词", "tooltip": "描述图像中需要排除的内容" }, "num_images": { "name": "图像数量" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词" }, "resolution": { "name": "分辨率", "tooltip": "图像生成的分辨率。如果未设置为 AUTO，则会覆盖 aspect_ratio 设置。" }, "seed": { "name": "随机种" }, "style_type": { "name": "风格", "tooltip": "生成的风格类型（仅限 V2）" }, "turbo": { "name": "turbo", "tooltip": "是否启用 turbo 模式（生成更快，质量可能略低）" } }, "outputs": { "0": { "tooltip": null } } }, "IdeogramV3": { "description": "使用 Ideogram V3 模型同步生成图像。\n\n支持从文本提示生成常规图像，也支持使用 mask 进行图像编辑。\n图片链接仅在有限时间内有效；如需保留图片，请务必下载。", "display_name": "Ideogram V3", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "图像生成的宽高比。如果分辨率未设置为自动，则忽略此项。" }, "character_image": { "name": "角色图像", "tooltip": "用作角色参考的图像。" }, "character_mask": { "name": "角色遮罩", "tooltip": "角色参考图像的可选遮罩。" }, "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像", "tooltip": "用于图像编辑的可选参考图片。" }, "magic_prompt_option": { "name": "Magic Prompt", "tooltip": "决定生成时是否使用 MagicPrompt" }, "mask": { "name": "遮罩", "tooltip": "用于修复的可选 mask（白色区域将被替换）" }, "num_images": { "name": "图像数量" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成或编辑的提示词" }, "rendering_speed": { "name": "生成速度", "tooltip": "控制生成速度与质量之间的权衡" }, "resolution": { "name": "分辨率", "tooltip": "图像生成的分辨率。如果未设置为自动，则覆盖 aspect_ratio 设置。" }, "seed": { "name": "随机种" } }, "outputs": { "0": { "tooltip": null } } }, "ImageAddNoise": { "display_name": "图像添加噪声", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "seed": { "name": "种子", "tooltip": "用于创建噪声的随机种子。" }, "strength": { "name": "强度" } }, "outputs": { "0": { "tooltip": null } } }, "ImageBatch": { "display_name": "组合图像批次", "inputs": { "image1": { "name": "图像1" }, "image2": { "name": "图像2" } } }, "ImageBlend": { "display_name": "混合图像", "inputs": { "blend_factor": { "name": "系数" }, "blend_mode": { "name": "混合模式" }, "image1": { "name": "图像1" }, "image2": { "name": "图像2" } }, "outputs": { "0": { "tooltip": null } } }, "ImageBlur": { "display_name": "模糊图像", "inputs": { "blur_radius": { "name": "模糊半径" }, "image": { "name": "图像" }, "sigma": { "name": "西格玛" } }, "outputs": { "0": { "tooltip": null } } }, "ImageColorToMask": { "display_name": "图像颜色到遮罩", "inputs": { "color": { "name": "颜色" }, "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "ImageCompare": { "description": "通过滑块并排比较两张图像。", "display_name": "图像对比", "inputs": { "compare_view": { "name": "compare_view" }, "image_a": { "name": "image_a" }, "image_b": { "name": "image_b" } } }, "ImageCompositeMasked": { "display_name": "合成图像（遮罩）", "inputs": { "destination": { "name": "目标图像" }, "mask": { "name": "遮罩" }, "resize_source": { "name": "缩放来源图像" }, "source": { "name": "来源图像" }, "x": { "name": "x" }, "y": { "name": "y" } }, "outputs": { "0": { "tooltip": null } } }, "ImageCrop": { "display_name": "裁剪图像", "inputs": { "height": { "name": "高度" }, "image": { "name": "图像" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } }, "outputs": { "0": { "tooltip": null } } }, "ImageDeduplication": { "display_name": "图像去重", "inputs": { "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "similarity_threshold": { "name": "相似度阈值", "tooltip": "相似阈值（0-1）。越高表示越相似。超过该值的图像则认定为重复图像。" } }, "outputs": { "0": { "name": "图像", "tooltip": "处理后的图像" } } }, "ImageFlip": { "display_name": "图像翻转", "inputs": { "flip_method": { "name": "翻转方法" }, "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "ImageFromBatch": { "display_name": "从批次获取图像", "inputs": { "batch_index": { "name": "批次索引" }, "image": { "name": "图像" }, "length": { "name": "长度" } }, "outputs": { "0": { "tooltip": null } } }, "ImageGrid": { "display_name": "图像表格", "inputs": { "cell_height": { "name": "单元格高度", "tooltip": "表格中每个单元格的高度。" }, "cell_width": { "name": "单元格宽度", "tooltip": "表格中每个单元格的宽度。" }, "columns": { "name": "列数", "tooltip": "表格的列数。" }, "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "padding": { "name": "间距", "tooltip": "图像间距" } }, "outputs": { "0": { "name": "图像", "tooltip": "处理后的图像" } } }, "ImageInvert": { "display_name": "反转图像", "inputs": { "image": { "name": "图像" } } }, "ImageOnlyCheckpointLoader": { "display_name": "Checkpoint加载器（仅图像）", "inputs": { "ckpt_name": { "name": "Checkpoint名称" } } }, "ImageOnlyCheckpointSave": { "display_name": "保存Checkpoint（仅图像）", "inputs": { "clip_vision": { "name": "clip视觉" }, "filename_prefix": { "name": "文件名前缀" }, "model": { "name": "模型" }, "vae": { "name": "vae" } } }, "ImagePadForOutpaint": { "display_name": "外补画板", "inputs": { "bottom": { "name": "下" }, "feathering": { "name": "羽化" }, "image": { "name": "图像" }, "left": { "name": "左" }, "right": { "name": "右" }, "top": { "name": "上" } } }, "ImageQuantize": { "display_name": "量化图像", "inputs": { "colors": { "name": "颜色" }, "dither": { "name": "抖动" }, "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "ImageRGBToYUV": { "display_name": "图像RGB到YUV", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "name": "Y", "tooltip": null }, "1": { "name": "U", "tooltip": null }, "2": { "name": "V", "tooltip": null } } }, "ImageRotate": { "display_name": "图像旋转", "inputs": { "image": { "name": "图像" }, "rotation": { "name": "旋转" } }, "outputs": { "0": { "tooltip": null } } }, "ImageScale": { "display_name": "缩放图像", "inputs": { "crop": { "name": "裁剪" }, "height": { "name": "高度" }, "image": { "name": "图像" }, "upscale_method": { "name": "缩放算法" }, "width": { "name": "宽度" } } }, "ImageScaleBy": { "display_name": "缩放图像（比例）", "inputs": { "image": { "name": "图像" }, "scale_by": { "name": "缩放系数" }, "upscale_method": { "name": "缩放算法" } } }, "ImageScaleToMaxDimension": { "display_name": "图像缩放到最大尺寸", "inputs": { "image": { "name": "图像" }, "largest_size": { "name": "最大尺寸" }, "upscale_method": { "name": "放大方法" } }, "outputs": { "0": { "tooltip": null } } }, "ImageScaleToTotalPixels": { "display_name": "缩放图像（像素）", "inputs": { "image": { "name": "图像" }, "megapixels": { "name": "像素数量" }, "resolution_steps": { "name": "分辨率步数" }, "upscale_method": { "name": "缩放算法" } }, "outputs": { "0": { "tooltip": null } } }, "ImageSharpen": { "display_name": "锐化图像", "inputs": { "alpha": { "name": "alpha" }, "image": { "name": "图像" }, "sharpen_radius": { "name": "锐化半径" }, "sigma": { "name": "Sigma" } }, "outputs": { "0": { "tooltip": null } } }, "ImageStitch": { "description": "\n将 image2 按指定方向拼接到 image1 上。\n如果未提供 image2，则返回未更改的 image1。\n可以在图像之间添加可选间距。\n", "display_name": "图像拼接", "inputs": { "direction": { "name": "方向" }, "image1": { "name": "图像1" }, "image2": { "name": "图像2" }, "match_image_size": { "name": "匹配图像尺寸" }, "spacing_color": { "name": "间距颜色" }, "spacing_width": { "name": "间距宽度" } }, "outputs": { "0": { "tooltip": null } } }, "ImageToMask": { "display_name": "图像转换为遮罩", "inputs": { "channel": { "name": "通道" }, "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "ImageUpscaleWithModel": { "display_name": "使用模型放大图像", "inputs": { "image": { "name": "图像" }, "upscale_model": { "name": "放大模型" } }, "outputs": { "0": { "tooltip": null } } }, "ImageYUVToRGB": { "display_name": "图像YUV到RGB", "inputs": { "U": { "name": "U" }, "V": { "name": "V" }, "Y": { "name": "Y" } }, "outputs": { "0": { "tooltip": null } } }, "InpaintModelConditioning": { "display_name": "内补模型条件", "inputs": { "mask": { "name": "遮罩" }, "negative": { "name": "负面条件" }, "noise_mask": { "name": "噪波遮罩", "tooltip": "向Latent图像添加遮罩，采样仅在遮罩内进行。根据模型的不同，可能会改善结果或完全破坏效果。" }, "pixels": { "name": "像素" }, "positive": { "name": "正面条件" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "InstructPixToPixConditioning": { "display_name": "InstructPixToPix条件", "inputs": { "negative": { "name": "负面条件" }, "pixels": { "name": "像素" }, "positive": { "name": "正面条件" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "InvertMask": { "display_name": "反转遮罩", "inputs": { "mask": { "name": "遮罩" } }, "outputs": { "0": { "tooltip": null } } }, "JoinAudioChannels": { "description": "将左声道和右声道的单声道音频合成为立体声音频。", "display_name": "音频通道合并", "inputs": { "audio_left": { "name": "audio_left" }, "audio_right": { "name": "audio_right" } }, "outputs": { "0": { "name": "audio", "tooltip": null } } }, "JoinImageWithAlpha": { "display_name": "合并图像Alpha", "inputs": { "alpha": { "name": "阿尔法" }, "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "KSampler": { "description": "使用提供的模型、正面条件和负面条件条件降噪Latent图像。", "display_name": "K采样器", "inputs": { "cfg": { "name": "cfg", "tooltip": "用于平衡随机性和提示词服从性。提高该值会使结果更加符合提示词，但过高会导致图像质量下降。" }, "control_after_generate": { "name": "生成后的控制" }, "denoise": { "name": "降噪", "tooltip": "降噪的强度，降低该值会保留原图的大部分内容从而实现图生图。" }, "latent_image": { "name": "Latent图像", "tooltip": "要降噪的 Latent 图像。" }, "model": { "name": "模型", "tooltip": "用于降噪输入 Latent 图像的模型。" }, "negative": { "name": "负面条件", "tooltip": "描述不包含在图像中的内容的条件。" }, "positive": { "name": "正面条件", "tooltip": "描述包含在图像中的内容的条件。" }, "sampler_name": { "name": "采样器名称", "tooltip": "采样算法，会影响结果质量、生成速度、风格样式。" }, "scheduler": { "name": "调度器", "tooltip": "控制逐渐移除噪波的方法。" }, "seed": { "name": "种子", "tooltip": "生成噪波的随机种。" }, "steps": { "name": "步数", "tooltip": "降噪的步数。" } }, "outputs": { "0": { "tooltip": "降噪后的 Latent。" } } }, "KSamplerAdvanced": { "display_name": "K采样器（高级）", "inputs": { "add_noise": { "name": "添加噪波" }, "cfg": { "name": "cfg" }, "control_after_generate": { "name": "生成后的控制" }, "end_at_step": { "name": "结束步数" }, "latent_image": { "name": "Latent图像" }, "model": { "name": "模型" }, "negative": { "name": "负面条件" }, "noise_seed": { "name": "随机种" }, "positive": { "name": "正面条件" }, "return_with_leftover_noise": { "name": "返回剩余噪波" }, "sampler_name": { "name": "采样器名称" }, "scheduler": { "name": "调度器" }, "start_at_step": { "name": "开始步数" }, "steps": { "name": "步数" } } }, "KSamplerSelect": { "display_name": "K采样器选择", "inputs": { "sampler_name": { "name": "采样器名称" } }, "outputs": { "0": { "tooltip": null } } }, "Kandinsky5ImageToVideo": { "display_name": "图像到视频（Kandinsky5）", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度 " }, "length": { "name": "时长" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_image": { "name": "初始图象" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": "空视频Latent" }, "3": { "name": "条件Latent", "tooltip": "纯净编码的 Latent，用于替代纯噪波 Latent 输出。" } } }, "KarrasScheduler": { "display_name": "Karras调度器", "inputs": { "rho": { "name": "rho" }, "sigma_max": { "name": "最大Sigma" }, "sigma_min": { "name": "最小Sigma" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "KlingCameraControlI2VNode": { "description": "将静态图像转化为具有专业摄像机运动的电影级视频，模拟真实世界的电影摄影。可控制虚拟摄像机的缩放、旋转、平移、俯仰和第一人称视角，同时保持对原始图像的聚焦。", "display_name": "Kling 图像转视频（摄像机控制）", "inputs": { "aspect_ratio": { "name": "宽高比" }, "camera_control": { "name": "镜头控制", "tooltip": "可通过 Kling Camera Controls 节点创建。控制视频生成过程中的摄像机运动和动作。" }, "cfg_scale": { "name": "CFG" }, "negative_prompt": { "name": "负面提示词", "tooltip": "反向文本提示" }, "prompt": { "name": "提示词", "tooltip": "正向文本提示" }, "start_frame": { "name": "起始帧", "tooltip": "参考图像 - URL 或 Base64 编码字符串，不能超过 10MB，分辨率不低于 300*300 像素，宽高比在 1:2.5 ~ 2.5:1 之间。Base64 不应包含 data:image 前缀。" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingCameraControlT2VNode": { "description": "将文本转化为具有专业摄像机运动的电影级视频，模拟真实世界的电影摄影。可控制虚拟摄像机的动作，包括缩放、旋转、平移、俯仰和第一人称视角，同时保持对原始文本的聚焦。", "display_name": "Kling 文本转视频（摄像机控制）", "inputs": { "aspect_ratio": { "name": "宽高比" }, "camera_control": { "name": "镜头控制", "tooltip": "可通过 Kling Camera Controls 节点创建。控制视频生成过程中的摄像机运动和移动。" }, "cfg_scale": { "name": "CFG" }, "negative_prompt": { "name": "负面提示词", "tooltip": "反向文本提示" }, "prompt": { "name": "提示词", "tooltip": "正向文本提示" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingCameraControls": { "description": "允许指定 Kling 相机控制和运动控制效果的配置选项。", "display_name": "Kling 相机控制", "inputs": { "camera_control_type": { "name": "镜头类型" }, "horizontal_movement": { "name": "水平移动", "tooltip": "控制相机在水平轴（x 轴）上的移动。负值表示向左，正值表示向右。" }, "pan": { "name": "垂直旋转", "tooltip": "控制相机在垂直平面（x 轴）上的旋转。负值表示向下旋转，正值表示向上旋转。" }, "roll": { "name": "滚转", "tooltip": "控制相机的滚转量（z 轴）。负值表示逆时针，正值表示顺时针。" }, "tilt": { "name": "水平旋转", "tooltip": "控制相机在水平平面（y 轴）上的旋转。负值表示向左旋转，正值表示向右旋转。" }, "vertical_movement": { "name": "垂直移动", "tooltip": "控制相机在垂直轴（y 轴）上的移动。负值表示向下，正值表示向上。" }, "zoom": { "name": "变焦", "tooltip": "控制相机焦距的变化。负值表示视野变窄，正值表示视野变宽。" } }, "outputs": { "0": { "name": "镜头控制", "tooltip": null } } }, "KlingDualCharacterVideoEffectNode": { "description": "根据 效果 在生成视频时实现不同的特效。第一张图片将被放置在合成画面的左侧，第二张图片在右侧。", "display_name": "Kling 双角色视频特效", "inputs": { "duration": { "name": "时长" }, "effect_scene": { "name": "效果" }, "image_left": { "name": "左侧图像", "tooltip": "左侧图片" }, "image_right": { "name": "右侧图像", "tooltip": "右侧图片" }, "mode": { "name": "模式" }, "model_name": { "name": "模型" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "时长", "tooltip": null } } }, "KlingFirstLastFrameNode": { "description": "使用 Kling V3 通过首帧和末帧生成视频。", "display_name": "Kling 3.0 首帧-末帧生成视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "end_frame": { "name": "末帧" }, "first_frame": { "name": "首帧" }, "generate_audio": { "name": "生成音频" }, "model": { "name": "模型", "tooltip": "模型与生成设置。" }, "model_resolution": { "name": "分辨率" }, "prompt": { "name": "提示词" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingImage2VideoNode": { "display_name": "Kling 图像转视频", "inputs": { "aspect_ratio": { "name": "宽高比" }, "cfg_scale": { "name": "CFG" }, "duration": { "name": "时长" }, "mode": { "name": "模式" }, "model_name": { "name": "模型" }, "negative_prompt": { "name": "负面提示词", "tooltip": "反向文本提示" }, "prompt": { "name": "提示词", "tooltip": "正向文本提示" }, "start_frame": { "name": "起始帧", "tooltip": "参考图像 - URL 或 Base64 编码字符串，不能超过 10MB，分辨率不少于 300*300 像素，宽高比在 1:2.5 ~ 2.5:1 之间。Base64 不应包含 data:image 前缀。" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingImageGenerationNode": { "description": "Kling 图像生成节点。通过文本提示生成图像，可选参考图像。", "display_name": "Kling 图像生成", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "human_fidelity": { "name": "主体参考强度", "tooltip": "主体参考相似度" }, "image": { "name": "图像" }, "image_fidelity": { "name": "图像参考强度", "tooltip": "用户上传图像的参考强度" }, "image_type": { "name": "图像类型" }, "model_name": { "name": "模型" }, "n": { "name": "图像数量", "tooltip": "生成图像数量" }, "negative_prompt": { "name": "负面提示词", "tooltip": "反向文本提示" }, "prompt": { "name": "提示词", "tooltip": "正向文本提示" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingImageToVideoWithAudio": { "display_name": "Kling 图像到视频音频", "inputs": { "duration": { "name": "时长（秒）" }, "generate_audio": { "name": "生成音频" }, "mode": { "name": "模式" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "正面文本提示词。" }, "start_frame": { "name": "起始帧" } }, "outputs": { "0": { "tooltip": null } } }, "KlingLipSyncAudioToVideoNode": { "description": "Kling 音频驱动视频口型同步节点。将视频文件中的嘴部动作与音频文件的音频内容进行同步。", "display_name": "Kling 音频驱动视频口型同步", "inputs": { "audio": { "name": "音频" }, "video": { "name": "视频" }, "voice_language": { "name": "语音语言" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingLipSyncTextToVideoNode": { "description": "Kling 文字驱动口型同步节点。将视频文件中的嘴部动作与文本提示同步。", "display_name": "Kling 文字驱动口型同步视频", "inputs": { "text": { "name": "文本", "tooltip": "用于口型同步视频生成的文本内容。当模式为 text2video 时必填。最大长度为 120 个字符。" }, "video": { "name": "视频" }, "voice": { "name": "语音" }, "voice_speed": { "name": "语速", "tooltip": "语音速率。有效范围：0.8~2.0，精确到小数点后一位。" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingMotionControl": { "display_name": "Kling 动作控制", "inputs": { "character_orientation": { "name": "参考方向", "tooltip": "控制角色的朝向/方向。\nv视频：动作，表情，相机移动和方向遵循运动参考视频（其他细节通过提示）。\n图像：运动和表情仍然遵循运动参考视频，但角色方向匹配参考图像（通过提示相机/其他细节）" }, "keep_original_sound": { "name": "保留原音频" }, "mode": { "name": "模式" }, "prompt": { "name": "提示词" }, "reference_image": { "name": "参考图像" }, "reference_video": { "name": "参考视频", "tooltip": "动作或表情的参考视频。\n持续时间取决于参考类型：\n图像：3-10 秒\n视频：3-30 秒" } }, "outputs": { "0": { "tooltip": null } } }, "KlingOmniProEditVideoNode": { "description": "使用 Kling 最新模型编辑视频。", "display_name": "Kling Omni 编辑视频 (Pro)", "inputs": { "control_after_generate": { "name": "生成后控制" }, "keep_original_sound": { "name": "保留原音频" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "描述视频内容的文本提示词。可以同时包括正面负面描述。" }, "reference_images": { "name": "参考图像", "tooltip": "最多 4 个参考图像" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" }, "video": { "name": "视频", "tooltip": "需要编辑的视频，输出视频的时长和输入视频相同。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingOmniProFirstLastFrameNode": { "description": "使用 Kling 最新模型和起始帧、可选的结束帧或参考图像。", "display_name": "Kling Omni 首尾帧到视频 (Pro)", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "end_frame": { "name": "结束帧", "tooltip": "可选的视频结束帧。不能和“参考图像”同时使用。" }, "first_frame": { "name": "起始帧" }, "generate_audio": { "name": "生成音频", "tooltip": "为视频生成音频。仅支持 kling-v3-omni。" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "描述视频内容的文本提示词。可以同时包括正面负面描述。" }, "reference_images": { "name": "参考图像", "tooltip": "最多 6 个参考图像" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" }, "storyboards": { "name": "分镜", "tooltip": "生成一系列带有独立提示词和时长的视频片段。仅支持 kling-v3-omni。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingOmniProImageNode": { "description": "使用 Kling 最新模型生成或编辑图像。", "display_name": "Kling Omni 图像 (Pro)", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "描述图像内容的文本提示词。可以同时包括正面负面描述。" }, "reference_images": { "name": "参考图像", "tooltip": "最多 10 个参考图像" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" }, "series_amount": { "name": "系列数量", "tooltip": "生成一系列图像。不支持 kling-image-o1。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingOmniProImageToVideoNode": { "description": "使用 Kling 最新模型基于最多 7 个参考图生成视频。", "display_name": "Kling Omni 图像到视频 (Pro)", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "generate_audio": { "name": "生成音频", "tooltip": "为视频生成音频。仅支持 kling-v3-omni。" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "描述图像内容的文本提示词。可以同时包括正面负面描述。" }, "reference_images": { "name": "参考图像", "tooltip": "最多 7 个参考图像" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" }, "storyboards": { "name": "分镜", "tooltip": "生成一系列带有独立提示词和时长的视频片段。仅支持 kling-v3-omni。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingOmniProTextToVideoNode": { "description": "使用 Kling 最新模型和提示词生成视频。", "display_name": "Kling Omni 文本到视频 (Pro)", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "generate_audio": { "name": "生成音频" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "描述图像内容的文本提示词。可以同时包括正面负面描述。" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" }, "storyboards": { "name": "分镜", "tooltip": "生成一系列带有独立提示词和时长的视频片段。o1 模型将忽略此项。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingOmniProVideoToVideoNode": { "description": "使用 Kling 最新模型基于最多 4 个参考图编辑视频。", "display_name": "Kling Omni 视频到视频 (Pro)", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "keep_original_sound": { "name": "保留原音频" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "描述图像内容的文本提示词。可以同时包括正面负面描述。" }, "reference_images": { "name": "参考图像", "tooltip": "最多 4 个参考图像" }, "reference_video": { "name": "参考视频", "tooltip": "用于参考的视频。" }, "resolution": { "name": "分辨率" }, "seed": { "name": "seed", "tooltip": "Seed 控制节点是否重新运行；无论 seed 如何，结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingSingleImageVideoEffectNode": { "description": "根据 效果 在生成视频时实现不同的特效。", "display_name": "Kling 视频特效", "inputs": { "duration": { "name": "时长" }, "effect_scene": { "name": "效果" }, "image": { "name": "图像3", "tooltip": "参考图片。URL 或 Base64 编码字符串（不含 data:image 前缀）。文件大小不得超过 10MB，分辨率不低于 300*300 像素，宽高比在 1:2.5 ~ 2.5:1 之间。" }, "model_name": { "name": "模型" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingStartEndFrameNode": { "description": "生成一个在起始图像和结束图像之间过渡的视频序列。该节点会创建所有中间帧，实现从第一帧到最后一帧的平滑变换。", "display_name": "Kling 起止帧生成视频", "inputs": { "aspect_ratio": { "name": "宽高比" }, "cfg_scale": { "name": "CFG" }, "end_frame": { "name": "end_frame", "tooltip": "参考图像 - 结束帧控制。URL 或 Base64 编码字符串，不能超过 10MB，分辨率不低于 300*300 像素。Base64 不应包含 data:image 前缀。" }, "mode": { "name": "模式", "tooltip": "用于视频生成的配置，格式为：mode / duration / model_name。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "反向文本提示" }, "prompt": { "name": "提示词", "tooltip": "正向文本提示" }, "start_frame": { "name": "起始帧", "tooltip": "参考图像 - URL 或 Base64 编码字符串，不能超过 10MB，分辨率不低于 300*300 像素，宽高比在 1:2.5 ~ 2.5:1 之间。Base64 不应包含 data:image 前缀。" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingTextToVideoNode": { "description": "Kling 文本转视频节点", "display_name": "Kling 文本转视频", "inputs": { "aspect_ratio": { "name": "宽高比" }, "cfg_scale": { "name": "CFG" }, "mode": { "name": "模式", "tooltip": "用于视频生成的配置，格式为：mode / duration / model_name。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "反向文本提示" }, "prompt": { "name": "提示词", "tooltip": "正向文本提示" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingTextToVideoWithAudio": { "display_name": "Kling 文本到视频音频", "inputs": { "aspect_ratio": { "name": "宽高比" }, "duration": { "name": "时长" }, "generate_audio": { "name": "生成音频" }, "mode": { "name": "模式" }, "model_name": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "正面文本提示词。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingVideoExtendNode": { "description": "Kling 视频扩展节点。扩展由其他 Kling 节点生成的视频。video_id 由其他 Kling 节点生成。", "display_name": "Kling 视频扩展", "inputs": { "cfg_scale": { "name": "CFG" }, "negative_prompt": { "name": "负面提示词", "tooltip": "用于在扩展视频中避免出现的元素的负向文本提示" }, "prompt": { "name": "提示词", "tooltip": "用于引导视频扩展的正向文本提示" }, "video_id": { "name": "视频ID", "tooltip": "要扩展的视频 ID。支持由文本转视频、图像转视频以及之前的视频扩展操作生成的视频。扩展后总时长不能超过 3 分钟。" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "视频ID", "tooltip": null }, "2": { "name": "时长", "tooltip": null } } }, "KlingVideoNode": { "description": "使用 Kling V3 生成视频。支持文生视频和图生视频，可选分镜多提示词和音频生成。", "display_name": "Kling 3.0 视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "generate_audio": { "name": "生成音频" }, "model": { "name": "模型", "tooltip": "模型和生成设置。" }, "model_aspect_ratio": { "name": "宽高比" }, "model_resolution": { "name": "分辨率" }, "multi_shot": { "name": "多镜头", "tooltip": "使用单独的提示词和时长生成一系列视频片段。" }, "multi_shot_duration": { "name": "时长" }, "multi_shot_negative_prompt": { "name": "反向提示词" }, "multi_shot_prompt": { "name": "提示词" }, "seed": { "name": "seed", "tooltip": "Seed 控制节点是否重新运行；无论 seed 如何，结果都是非确定性的。" }, "start_frame": { "name": "起始帧", "tooltip": "可选的起始帧图像。连接后切换为图生视频模式。" } }, "outputs": { "0": { "tooltip": null } } }, "KlingVirtualTryOnNode": { "description": "Kling 虚拟试穿节点。输入一张人物图片和一张服装图片，将服装试穿到人物身上。", "display_name": "Kling 虚拟试穿", "inputs": { "cloth_image": { "name": "服装" }, "human_image": { "name": "主体" }, "model_name": { "name": "模型" } }, "outputs": { "0": { "tooltip": null } } }, "LTXAVTextEncoderLoader": { "description": "[Recipes]\n\nltxav: gemma 3 12B", "display_name": "LTXV音频文本编码器加载器", "inputs": { "ckpt_name": { "name": "ckpt名称" }, "device": { "name": "设备" }, "text_encoder": { "name": "文本编码器" } }, "outputs": { "0": { "tooltip": null } } }, "LTXVAddGuide": { "display_name": "LTXV添加指导", "inputs": { "frame_idx": { "name": "帧索引", "tooltip": "开始调节的帧索引。对于单帧图像或1-8帧的视频，任何帧索引值都可以接受。对于9+帧的视频，帧索引必须能被8整除，否则它将被向下取整到最接近的8的倍数。负值从视频的末尾开始计算。" }, "image": { "name": "图像", "tooltip": "用于调节潜在视频的图像或视频。必须是8*n + 1帧。如果视频不是8*n + 1帧，它将被裁剪到最接近的8*n + 1帧。" }, "latent": { "name": "潜在空间" }, "negative": { "name": "负向" }, "positive": { "name": "正向" }, "strength": { "name": "强度" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "负向", "tooltip": null }, "2": { "name": "潜在空间", "tooltip": null } } }, "LTXVAudioVAEDecode": { "display_name": "LTXV音频VAE解码", "inputs": { "audio_vae": { "name": "音频VAE", "tooltip": "用于解码latent的音频VAE模型。" }, "samples": { "name": "样本", "tooltip": "要解码的latent。" } }, "outputs": { "0": { "name": "音频", "tooltip": null } } }, "LTXVAudioVAEEncode": { "display_name": "LTXV音频VAE编码", "inputs": { "audio": { "name": "音频", "tooltip": "要编码的音频。" }, "audio_vae": { "name": "音频VAE", "tooltip": "用于编码的音频VAE模型。" } }, "outputs": { "0": { "name": "音频latent", "tooltip": null } } }, "LTXVAudioVAELoader": { "display_name": "LTXV音频VAE加载器", "inputs": { "ckpt_name": { "name": "ckpt名称", "tooltip": "要加载的音频VAE检查点。" } }, "outputs": { "0": { "name": "音频VAE", "tooltip": null } } }, "LTXVConcatAVLatent": { "display_name": "LTXVConcatAVLatent", "inputs": { "audio_latent": { "name": "audio_latent" }, "video_latent": { "name": "video_latent" } }, "outputs": { "0": { "name": "latent", "tooltip": null } } }, "LTXVConditioning": { "display_name": "LTXV条件", "inputs": { "frame_rate": { "name": "帧率" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null } } }, "LTXVCropGuides": { "display_name": "LTXV裁剪指导", "inputs": { "latent": { "name": "潜在空间" }, "negative": { "name": "负向" }, "positive": { "name": "正向" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "负向", "tooltip": null }, "2": { "name": "潜在空间", "tooltip": null } } }, "LTXVEmptyLatentAudio": { "display_name": "LTXV 空音频潜空间", "inputs": { "audio_vae": { "name": "音频VAE", "tooltip": "用于获取配置信息的音频VAE模型。" }, "batch_size": { "name": "批量大小", "tooltip": "批次中潜音频样本的数量。" }, "frame_rate": { "name": "帧率", "tooltip": "每秒的帧数。" }, "frames_number": { "name": "帧数", "tooltip": "帧的数量。" } }, "outputs": { "0": { "name": "潜空间", "tooltip": null } } }, "LTXVImgToVideo": { "display_name": "图像到视频（LTXV）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "image": { "name": "图像" }, "length": { "name": "长度" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "strength": { "name": "强度" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "LTXVImgToVideoInplace": { "display_name": "LTXV图像转视频（原地）", "inputs": { "bypass": { "name": "跳过", "tooltip": "跳过条件处理。" }, "image": { "name": "图像" }, "latent": { "name": "潜空间" }, "strength": { "name": "强度" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "潜空间", "tooltip": null } } }, "LTXVLatentUpsampler": { "display_name": "LTXV潜空间上采样器", "inputs": { "samples": { "name": "样本" }, "upscale_model": { "name": "放大模型" }, "vae": { "name": "vae" } } }, "LTXVPreprocess": { "display_name": "LTXV预处理", "inputs": { "image": { "name": "图像" }, "img_compression": { "name": "图像压缩", "tooltip": "应用于图像的压缩量。" } }, "outputs": { "0": { "name": "输出图像", "tooltip": null } } }, "LTXVScheduler": { "display_name": "LTXV调度器", "inputs": { "base_shift": { "name": "基础移位" }, "latent": { "name": "Latent" }, "max_shift": { "name": "最大移位" }, "steps": { "name": "步数" }, "stretch": { "name": "拉伸", "tooltip": "将 sigma 拉伸到范围 [终值, 1]。" }, "terminal": { "name": "终值", "tooltip": "拉伸后 sigma 的终值。" } }, "outputs": { "0": { "tooltip": null } } }, "LTXVSeparateAVLatent": { "description": "LTXV分离音视频潜空间", "display_name": "LTXV分离音视频潜空间", "inputs": { "av_latent": { "name": "音视频潜空间" } }, "outputs": { "0": { "name": "video_latent", "tooltip": null }, "1": { "name": "audio_latent", "tooltip": null } } }, "LaplaceScheduler": { "display_name": "Laplace调度器", "inputs": { "beta": { "name": "beta" }, "mu": { "name": "mu" }, "sigma_max": { "name": "sigma_max" }, "sigma_min": { "name": "sigma_min" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "LatentAdd": { "display_name": "Latent相加", "inputs": { "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } }, "outputs": { "0": { "tooltip": null } } }, "LatentApplyOperation": { "display_name": "Latent应用操作", "inputs": { "operation": { "name": "操作" }, "samples": { "name": "Latent" } }, "outputs": { "0": { "tooltip": null } } }, "LatentApplyOperationCFG": { "display_name": "Latent应用操作CFG", "inputs": { "model": { "name": "模型" }, "operation": { "name": "操作" } }, "outputs": { "0": { "tooltip": null } } }, "LatentBatch": { "display_name": "组合Latent批次", "inputs": { "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } }, "outputs": { "0": { "tooltip": null } } }, "LatentBatchSeedBehavior": { "display_name": "Latent批处理随机种行为", "inputs": { "samples": { "name": "Latent" }, "seed_behavior": { "name": "随机种行为" } }, "outputs": { "0": { "tooltip": null } } }, "LatentBlend": { "display_name": "混合Latent", "inputs": { "blend_factor": { "name": "系数" }, "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } } }, "LatentComposite": { "display_name": "合成Latent", "inputs": { "feather": { "name": "羽化" }, "samples_from": { "name": "Latent从" }, "samples_to": { "name": "Latent到" }, "x": { "name": "x" }, "y": { "name": "y" } } }, "LatentCompositeMasked": { "display_name": "合成Latent遮罩", "inputs": { "destination": { "name": "目标Latent" }, "mask": { "name": "遮罩" }, "resize_source": { "name": "调整来源大小" }, "source": { "name": "来源Latent" }, "x": { "name": "x" }, "y": { "name": "y" } }, "outputs": { "0": { "tooltip": null } } }, "LatentConcat": { "display_name": "潜在空间拼接", "inputs": { "dim": { "name": "维度" }, "samples1": { "name": "样本1" }, "samples2": { "name": "样本2" } }, "outputs": { "0": { "tooltip": null } } }, "LatentCrop": { "display_name": "裁剪Latent", "inputs": { "height": { "name": "高度" }, "samples": { "name": "Latent" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } } }, "LatentCut": { "display_name": "潜在空间切割", "inputs": { "amount": { "name": "数量" }, "dim": { "name": "维度" }, "index": { "name": "索引" }, "samples": { "name": "样本" } }, "outputs": { "0": { "tooltip": null } } }, "LatentCutToBatch": { "display_name": "Latent切割", "inputs": { "dim": { "name": "维度" }, "samples": { "name": "Latent" }, "slice_size": { "name": "碎片大小" } }, "outputs": { "0": { "tooltip": null } } }, "LatentFlip": { "display_name": "翻转Latent", "inputs": { "flip_method": { "name": "翻转方法" }, "samples": { "name": "Latent" } } }, "LatentFromBatch": { "display_name": "从批次获取Latent", "inputs": { "batch_index": { "name": "批次索引" }, "length": { "name": "长度" }, "samples": { "name": "Latent" } } }, "LatentInterpolate": { "display_name": "Latent插值", "inputs": { "ratio": { "name": "比率" }, "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } }, "outputs": { "0": { "tooltip": null } } }, "LatentMultiply": { "display_name": "Latent相乘", "inputs": { "multiplier": { "name": "乘数" }, "samples": { "name": "Latent" } }, "outputs": { "0": { "tooltip": null } } }, "LatentOperationSharpen": { "display_name": "Latent操作锐化", "inputs": { "alpha": { "name": "阿尔法" }, "sharpen_radius": { "name": "锐化半径" }, "sigma": { "name": "西格玛" } }, "outputs": { "0": { "tooltip": null } } }, "LatentOperationTonemapReinhard": { "display_name": "Latent操作色调映射Reinhard", "inputs": { "multiplier": { "name": "乘数" } }, "outputs": { "0": { "tooltip": null } } }, "LatentRotate": { "display_name": "旋转Latent", "inputs": { "rotation": { "name": "旋转" }, "samples": { "name": "Latent" } } }, "LatentSubtract": { "display_name": "Latent相减", "inputs": { "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } }, "outputs": { "0": { "tooltip": null } } }, "LatentUpscale": { "display_name": "缩放Latent", "inputs": { "crop": { "name": "裁剪" }, "height": { "name": "高度" }, "samples": { "name": "Latent" }, "upscale_method": { "name": "缩放算法" }, "width": { "name": "宽度" } } }, "LatentUpscaleBy": { "display_name": "缩放Latent（比例）", "inputs": { "samples": { "name": "Latent" }, "scale_by": { "name": "缩放比例" }, "upscale_method": { "name": "缩放算法" } } }, "LatentUpscaleModelLoader": { "display_name": "加载Latent放大模型", "inputs": { "model_name": { "name": "模型" } }, "outputs": { "0": { "tooltip": null } } }, "LazyCache": { "description": "EasyCache 的自制版本 - 更'简单'的 EasyCache 实现。总体效果不如 EasyCache，但在某些罕见情况下表现更好，并且与 ComfyUI 中的所有内容具有通用兼容性。", "display_name": "惰性缓存", "inputs": { "end_percent": { "name": "结束百分比", "tooltip": "结束使用惰性缓存的相对采样步骤。" }, "model": { "name": "模型", "tooltip": "要添加惰性缓存的模型。" }, "reuse_threshold": { "name": "重用阈值", "tooltip": "重用缓存步骤的阈值。" }, "start_percent": { "name": "起始百分比", "tooltip": "开始使用惰性缓存的相对采样步骤。" }, "verbose": { "name": "详细模式", "tooltip": "是否记录详细信息。" } }, "outputs": { "0": { "tooltip": "带有惰性缓存的模型。" } } }, "Load3D": { "display_name": "加载3D", "inputs": { "clear": "清除", "height": { "name": "高度" }, "image": { "name": "图像" }, "model_file": { "name": "模型文件" }, "upload 3d model": "上传3D模型", "upload extra resources": "上传额外资源", "width": { "name": "宽度" } }, "outputs": [ null, null, null, null, null, null, { "name": "model_3d", "tooltip": null } ] }, "LoadAudio": { "display_name": "加载音频", "inputs": { "audio": { "name": "音频" }, "audioUI": { "name": "音频UI" }, "upload": { "name": "选择文件上传" } }, "outputs": { "0": { "tooltip": null } } }, "LoadImage": { "display_name": "加载图像", "inputs": { "image": { "name": "图像" }, "upload": { "name": "选择文件上传" } } }, "LoadImageDataSetFromFolder": { "display_name": "加载图像数据集", "inputs": { "folder": { "name": "文件夹", "tooltip": "图像数据集的文件夹" } }, "outputs": { "0": { "name": "图像", "tooltip": "已加载的图像序列" } } }, "LoadImageMask": { "display_name": "加载图像（作为遮罩）", "inputs": { "channel": { "name": "通道" }, "image": { "name": "图像" }, "upload": { "name": "选择文件上传" } } }, "LoadImageOutput": { "description": "从输出文件夹加载图像。当点击刷新按钮时，节点将更新图像列表并自动选择第一张图像，便于轻松迭代。", "display_name": "加载图像（来自输出）", "inputs": { "Auto-refresh after generation": {}, "image": { "name": "图像" }, "refresh": {}, "upload": { "name": "选择文件上传" } } }, "LoadImageTextDataSetFromFolder": { "display_name": "加载图像和文本数据集", "inputs": { "folder": { "name": "文件夹", "tooltip": "图像数据集的文件夹" } }, "outputs": { "0": { "name": "图像", "tooltip": "已加载的图像序列" }, "1": { "name": "文本", "tooltip": "已加载的标注文本" } } }, "LoadLatent": { "display_name": "加载Latent", "inputs": { "latent": { "name": "Latent" } } }, "LoadTrainingDataset": { "display_name": "加载训练数据集", "inputs": { "folder_name": { "name": "文件夹名", "tooltip": "包含训练数据集的文件夹名（在 输出 文件夹内）。" } }, "outputs": { "0": { "name": "Latent", "tooltip": "Latent 列表" }, "1": { "name": "条件", "tooltip": "条件列表" } } }, "LoadVideo": { "display_name": "加载视频", "inputs": { "file": { "name": "文件" }, "upload": { "name": "选择要上传的文件" } }, "outputs": { "0": { "tooltip": null } } }, "LoraLoader": { "description": "LoRA用于修改扩散和CLIP模型，改变Latent图像的降噪方式，例如应用风格。多个LoRA节点可以链接在一起。", "display_name": "加载LoRA", "inputs": { "clip": { "name": "CLIP", "tooltip": "LoRA 将应用于的 CLIP 模型。" }, "lora_name": { "name": "LoRA名称", "tooltip": "LoRA 的名称。" }, "model": { "name": "模型", "tooltip": "LoRA 将应用于的扩散模型。" }, "strength_clip": { "name": "CLIP强度", "tooltip": "修改 CLIP 模型的强度。此值可以为负。" }, "strength_model": { "name": "模型强度", "tooltip": "修改扩散模型的强度。此值可以为负。" } }, "outputs": { "0": { "tooltip": "修改后的扩散模型。" }, "1": { "tooltip": "修改后的CLIP模型。" } } }, "LoraLoaderBypass": { "description": "以旁路模式应用LoRA。与常规LoRA不同，此方式不会修改模型权重——而是在前向传播时注入LoRA计算。适用于训练场景。", "display_name": "加载LoRA（旁路）（用于调试）", "inputs": { "clip": { "name": "clip", "tooltip": "将应用LoRA的CLIP模型。" }, "lora_name": { "name": "lora_name", "tooltip": "LoRA的名称。" }, "model": { "name": "model", "tooltip": "将应用LoRA的扩散模型。" }, "strength_clip": { "name": "strength_clip", "tooltip": "对CLIP模型的修改强度。该值可以为负数。" }, "strength_model": { "name": "strength_model", "tooltip": "对扩散模型的修改强度。该值可以为负数。" } }, "outputs": { "0": { "tooltip": "已修改的扩散模型。" }, "1": { "tooltip": "已修改的CLIP模型。" } } }, "LoraLoaderBypassModelOnly": { "description": "以旁路模式应用LoRA。与常规LoRA不同，此方式不会修改模型权重——而是在前向传播时注入LoRA计算。适用于训练场景。", "display_name": "加载LoRA（旁路，仅模型）（用于调试）", "inputs": { "lora_name": { "name": "lora_name" }, "model": { "name": "model" }, "strength_model": { "name": "strength_model" } }, "outputs": { "0": { "tooltip": "已修改的扩散模型。" } } }, "LoraLoaderModelOnly": { "description": "LoRA用于修改扩散和CLIP模型，改变Latent图像的降噪方式，例如应用风格。多个LoRA节点可以链接在一起。", "display_name": "LoRA加载器（仅模型）", "inputs": { "lora_name": { "name": "LoRA名称" }, "model": { "name": "模型" }, "strength_model": { "name": "模型强度" } }, "outputs": { "0": { "tooltip": "修改后的扩散模型。" } } }, "LoraModelLoader": { "display_name": "加载 LoRA 模型", "inputs": { "bypass": { "name": "bypass", "tooltip": "启用后，以旁路模式应用LoRA，不修改基础模型权重。适用于训练和模型权重卸载时。" }, "lora": { "name": "lora", "tooltip": "要应用于扩散模型的 LoRA 模型。" }, "model": { "name": "模型", "tooltip": "LoRA 将应用于的扩散模型。" }, "strength_model": { "name": "模型强度", "tooltip": "修改扩散模型的强度。此值可以为负数。" } }, "outputs": { "0": { "name": "模型", "tooltip": "修改后的扩散模型。" } } }, "LoraSave": { "display_name": "保存LoRA", "inputs": { "bias_diff": { "name": "偏差差异" }, "filename_prefix": { "name": "文件名前缀" }, "lora_type": { "name": "lora类型" }, "model_diff": { "name": "模型差异", "tooltip": "要转换为 LoRA 的模型差异输出。" }, "rank": { "name": "排名" }, "text_encoder_diff": { "name": "文本编码器差异", "tooltip": "要转换为 LoRA 的CLIP差异输出。" } } }, "LossGraphNode": { "display_name": "绘制损失图", "inputs": { "filename_prefix": { "name": "文件名前缀", "tooltip": "保存损失图的文件名前缀" }, "loss": { "name": "损失", "tooltip": "训练节点的损失图" } } }, "LotusConditioning": { "display_name": "Lotus条件", "outputs": { "0": { "name": "条件", "tooltip": null } } }, "LtxvApiImageToVideo": { "description": "基于起始图像生成专业品质视频，可自定义时长和分辨率。", "display_name": "LTXV 图像到视频", "inputs": { "duration": { "name": "时长" }, "fps": { "name": "帧率" }, "generate_audio": { "name": "生成音频", "tooltip": "为 true 时，生成的视频将包含与场景匹配的 AI 生成音频。" }, "image": { "name": "图像", "tooltip": "用于视频的第一帧图像。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词" }, "resolution": { "name": "分辨率" } }, "outputs": { "0": { "tooltip": null } } }, "LtxvApiTextToVideo": { "description": "可自定义时长和分辨率的专业品质视频。", "display_name": "LTXV 文本到视频", "inputs": { "duration": { "name": "时长" }, "fps": { "name": "帧率" }, "generate_audio": { "name": "生成音频", "tooltip": "生成的视频将包含与场景匹配的 AI 生成音频。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词" }, "resolution": { "name": "分辨率" } }, "outputs": { "0": { "tooltip": null } } }, "LumaConceptsNode": { "description": "包含一个或多个相机概念，可用于 Luma 文本转视频和 Luma 图像转视频节点。", "display_name": "Luma 概念", "inputs": { "concept1": { "name": "概念1" }, "concept2": { "name": "概念2" }, "concept3": { "name": "概念3" }, "concept4": { "name": "概念4" }, "luma_concepts": { "name": "Luma概念", "tooltip": "可选的相机概念，将添加到此处选择的概念中。" } }, "outputs": { "0": { "name": "Luma概念", "tooltip": null } } }, "LumaImageModifyNode": { "description": "根据提示词和宽高比同步修改图像。", "display_name": "Luma 图像到图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "image_weight": { "name": "图像权重", "tooltip": "图像权重；越接近 1.0，图像被修改的程度越小。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词" }, "seed": { "name": "随机种", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "LumaImageNode": { "description": "根据提示词和宽高比同步生成图像。", "display_name": "Luma 文生图", "inputs": { "aspect_ratio": { "name": "宽高比" }, "character_image": { "name": "角色参考图", "tooltip": "角色参考图像；可为多张批量输入，最多可考虑 4 张图像。" }, "control_after_generate": { "name": "生成后控制" }, "image_luma_ref": { "name": "Luma 参考图", "tooltip": "Luma 参考节点连接，可用输入图像影响生成；最多可考虑 4 张图像。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" }, "style_image": { "name": "风格参考图", "tooltip": "风格参考图像；仅使用 1 张图像。" }, "style_image_weight": { "name": "风格图权重", "tooltip": "风格图像的权重。如果未提供风格图像则忽略。" } }, "outputs": { "0": { "tooltip": null } } }, "LumaImageToVideoNode": { "description": "根据提示词、输入图像和输出尺寸同步生成视频。", "display_name": "Luma 图像转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "first_image": { "name": "首帧图像", "tooltip": "生成视频的第一帧。" }, "last_image": { "name": "末帧图像", "tooltip": "生成视频的最后一帧。" }, "loop": { "name": "循环" }, "luma_concepts": { "name": "Luma概念", "tooltip": "可选的 Camera Concepts，通过 Luma Concepts 节点控制相机运动。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的提示词" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "LumaReferenceNode": { "description": "用于 Luma 生成图像节点，包含一张图片和权重。", "display_name": "Luma 参考", "inputs": { "image": { "name": "图片", "tooltip": "用作参考的图片。" }, "luma_ref": { "name": "Luma参考" }, "weight": { "name": "权重", "tooltip": "图片参考的权重。" } }, "outputs": { "0": { "name": "Luma参考", "tooltip": null } } }, "LumaVideoNode": { "description": "根据提示词和输出尺寸同步生成视频。", "display_name": "Luma 文本转视频", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "loop": { "name": "循环" }, "luma_concepts": { "name": "Luma概念", "tooltip": "可选的相机概念，通过 Luma Concepts 节点控制相机运动。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的提示词" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "MagnificImageRelightNode": { "description": "通过光照调整和可选的参考光照迁移对图像进行重光照。", "display_name": "Magnific图像重光照", "inputs": { "advanced_settings": { "name": "advanced_settings", "tooltip": "高级光照控制的微调选项。" }, "change_background": { "name": "change_background", "tooltip": "根据提示/参考修改背景。" }, "image": { "name": "image", "tooltip": "需要重光照的图像。" }, "interpolate_from_original": { "name": "interpolate_from_original", "tooltip": "限制生成自由度，更贴近原图。" }, "light_transfer_strength": { "name": "light_transfer_strength", "tooltip": "光照迁移应用强度。" }, "preserve_details": { "name": "preserve_details", "tooltip": "保留原图的纹理和细节。" }, "prompt": { "name": "prompt", "tooltip": "光照描述性引导。支持强调符号（1-1.4）。" }, "reference_image": { "name": "reference_image", "tooltip": "可选的参考图像，用于迁移光照。" }, "style": { "name": "style", "tooltip": "风格化输出偏好。" } }, "outputs": { "0": { "tooltip": null } } }, "MagnificImageSkinEnhancerNode": { "description": "用于人像的美肤增强，支持多种处理模式。", "display_name": "Magnific图像美肤增强", "inputs": { "image": { "name": "image", "tooltip": "需要增强的人像图像。" }, "mode": { "name": "mode", "tooltip": "处理模式：creative为艺术增强，faithful为保留原貌，flexible为定向优化。" }, "sharpen": { "name": "sharpen", "tooltip": "锐化强度等级。" }, "smart_grain": { "name": "smart_grain", "tooltip": "智能颗粒强度等级。" } }, "outputs": { "0": { "tooltip": null } } }, "MagnificImageStyleTransferNode": { "description": "将参考图像的风格迁移到你的输入图像上。", "display_name": "Magnific 图像风格迁移", "inputs": { "engine": { "name": "engine", "tooltip": "处理引擎选择。" }, "fixed_generation": { "name": "fixed_generation", "tooltip": "禁用时，每次生成都会引入一定的随机性，从而产生更多样化的结果。" }, "flavor": { "name": "flavor", "tooltip": "风格迁移风格类型。" }, "image": { "name": "image", "tooltip": "要进行风格迁移的图像。" }, "portrait_mode": { "name": "portrait_mode", "tooltip": "启用人像模式以增强面部效果。" }, "prompt": { "name": "prompt" }, "reference_image": { "name": "reference_image", "tooltip": "用于提取风格的参考图像。" }, "structure_strength": { "name": "structure_strength", "tooltip": "保持原始图像结构。" }, "style_strength": { "name": "style_strength", "tooltip": "风格强度百分比。" } }, "outputs": { "0": { "tooltip": null } } }, "MagnificImageUpscalerCreativeNode": { "description": "基于提示词的增强、风格化，以及 2x/4x/8x/16x 放大。最大输出：25.3 百万像素。", "display_name": "Magnific 图像放大（创意）", "inputs": { "auto_downscale": { "name": "自动降采样", "tooltip": "如果输出超过最大像素限制，则自动缩小输入图像。" }, "creativity": { "name": "创意" }, "engine": { "name": "引擎" }, "fractality": { "name": "复杂度", "tooltip": "每平方像素的提示词强度和复杂度。" }, "hdr": { "name": "HDR", "tooltip": "清晰度和细节级别。" }, "image": { "name": "图像" }, "optimized_for": { "name": "优化目标" }, "prompt": { "name": "提示词" }, "resemblance": { "name": "相似度", "tooltip": "与原始图像的相似程度。" }, "scale_factor": { "name": "放大倍数" } }, "outputs": { "0": { "tooltip": null } } }, "MagnificImageUpscalerPreciseV2Node": { "description": "高保真放大，精细控制锐度、颗粒感和细节。最大输出：10060×10060 像素。", "display_name": "Magnific 图像放大（精确 V2）", "inputs": { "auto_downscale": { "name": "自动降采样", "tooltip": "如果输出超过最大分辨率，则自动缩小输入图像。" }, "flavor": { "name": "风格", "tooltip": "处理风格：sublime 适用于通用，photo 适用于照片，photo_denoiser 适用于有噪点的照片。" }, "image": { "name": "图像" }, "scale_factor": { "name": "放大倍数" }, "sharpen": { "name": "锐化", "tooltip": "图像锐度强度。数值越高，边缘越清晰。" }, "smart_grain": { "name": "智能颗粒", "tooltip": "智能增强颗粒/纹理，防止图像过于平滑或失真。" }, "ultra_detail": { "name": "超细节", "tooltip": "控制放大过程中添加的细节、纹理和微观细节。" } }, "outputs": { "0": { "tooltip": null } } }, "Mahiro": { "description": "修改引导以更多地侧重于正面条件提示的'方向'，而不是负面条件提示之间的差异。", "display_name": "真寻太可爱了，她应该有个更好的引导功能！！(。・ω・。)", "inputs": { "model": { "name": "模型" } }, "outputs": { "0": { "name": "修补后的模型", "tooltip": null } } }, "MakeTrainingDataset": { "display_name": "制作训练数据集", "inputs": { "clip": { "name": "CLIP", "tooltip": "用于编码文本的 CLIP 模型" }, "images": { "name": "图像", "tooltip": "需要编码的图像序列。" }, "texts": { "name": "文本", "tooltip": "标注文本序列。数量可以是n（匹配图像），1（重复使用），或者省略（使用空字符串）。" }, "vae": { "name": "VAE", "tooltip": "用于编码图像的 VAE 模型" } }, "outputs": { "0": { "name": "Latent", "tooltip": "Latent 字典序列" }, "1": { "name": "条件", "tooltip": "条件字典序列" } } }, "ManualSigmas": { "display_name": "自定义Sigmas", "inputs": { "sigmas": { "name": "sigmas" } }, "outputs": { "0": { "tooltip": null } } }, "MaskComposite": { "display_name": "合成遮罩", "inputs": { "destination": { "name": "目标" }, "operation": { "name": "操作" }, "source": { "name": "源" }, "x": { "name": "x" }, "y": { "name": "y" } }, "outputs": { "0": { "tooltip": null } } }, "MaskPreview": { "description": "将输入图像保存到您的 ComfyUI 输出目录。", "display_name": "预览遮罩", "inputs": { "mask": { "name": "遮罩" } } }, "MaskToImage": { "display_name": "遮罩转换为图像", "inputs": { "mask": { "name": "遮罩" } }, "outputs": { "0": { "tooltip": null } } }, "MergeImageLists": { "display_name": "融合图像序列", "inputs": { "images": { "name": "图像", "tooltip": "需要处理的图像序列。" } }, "outputs": { "0": { "name": "图像", "tooltip": "已处理的图像" } } }, "MergeTextLists": { "display_name": "融合文本序列", "inputs": { "texts": { "name": "文本", "tooltip": "需要处理的文本序列" } }, "outputs": { "0": { "name": "文本", "tooltip": "已处理的文本" } } }, "MeshyAnimateModelNode": { "description": "为已绑定骨骼的角色应用特定动画动作。", "display_name": "Meshy：动画模型", "inputs": { "action_id": { "name": "action_id", "tooltip": "访问 https://docs.meshy.ai/en/api/animation-library 查看可用值列表。" }, "rig_task_id": { "name": "rig_task_id" } }, "outputs": [ null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MeshyImageToModelNode": { "display_name": "Meshy：图像转模型", "inputs": { "control_after_generate": { "name": "control after generate" }, "image": { "name": "image" }, "model": { "name": "model" }, "pose_mode": { "name": "pose_mode", "tooltip": "指定生成模型的姿态模式。" }, "seed": { "name": "seed", "tooltip": "Seed 控制节点是否重新运行；无论 seed 如何，结果都是非确定性的。" }, "should_remesh": { "name": "should_remesh", "tooltip": "设置为 false 时，返回未处理的三角网格。" }, "should_remesh_target_polycount": { "name": "target_polycount" }, "should_remesh_topology": { "name": "topology" }, "should_texture": { "name": "should_texture", "tooltip": "决定是否生成纹理。设置为 false 跳过纹理阶段，返回无纹理的网格。" }, "should_texture_enable_pbr": { "name": "enable_pbr" }, "should_texture_texture_prompt": { "name": "texture_prompt" }, "symmetry_mode": { "name": "symmetry_mode" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MeshyMultiImageToModelNode": { "display_name": "Meshy：多图像转模型", "inputs": { "control_after_generate": { "name": "control after generate" }, "images": { "name": "images" }, "model": { "name": "model" }, "pose_mode": { "name": "pose_mode", "tooltip": "指定生成模型的姿态模式。" }, "seed": { "name": "seed", "tooltip": "Seed 控制节点是否重新运行；无论 seed 如何，结果都是非确定性的。" }, "should_remesh": { "name": "should_remesh", "tooltip": "设置为 false 时，返回未处理的三角网格。" }, "should_remesh_target_polycount": { "name": "target_polycount" }, "should_remesh_topology": { "name": "topology" }, "should_texture": { "name": "should_texture", "tooltip": "决定是否生成纹理。设置为 false 跳过纹理阶段，返回无纹理的网格。" }, "should_texture_enable_pbr": { "name": "enable_pbr" }, "should_texture_texture_prompt": { "name": "texture_prompt" }, "symmetry_mode": { "name": "symmetry_mode" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MeshyRefineNode": { "description": "对先前创建的草稿模型进行精细化处理。", "display_name": "Meshy：精细化草稿模型", "inputs": { "enable_pbr": { "name": "enable_pbr", "tooltip": "在基础色之外生成PBR贴图（金属度、粗糙度、法线）。注意：使用雕塑风格时应设置为false，因为雕塑风格会生成其专属的PBR贴图。" }, "meshy_task_id": { "name": "meshy_task_id" }, "model": { "name": "model" }, "texture_image": { "name": "texture_image", "tooltip": "‘texture_image’和‘texture_prompt’只能二选一。" }, "texture_prompt": { "name": "texture_prompt", "tooltip": "提供文本提示以引导材质生成。最多600个字符。不能与'texture_image'同时使用。" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MeshyRigModelNode": { "description": "以标准格式提供带骨骼的角色模型。自动骨骼绑定目前不适用于无贴图网格、非类人资产或肢体结构不清晰的类人资产。", "display_name": "Meshy：骨骼绑定模型", "inputs": { "height_meters": { "name": "height_meters", "tooltip": "角色模型的大致高度（米），有助于缩放和骨骼绑定的准确性。" }, "meshy_task_id": { "name": "meshy_task_id" }, "texture_image": { "name": "texture_image", "tooltip": "模型的UV展开基础色贴图。" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MeshyTextToModelNode": { "display_name": "Meshy：文本生成模型", "inputs": { "control_after_generate": { "name": "control after generate" }, "model": { "name": "model" }, "pose_mode": { "name": "pose_mode", "tooltip": "指定生成模型的姿态模式。" }, "prompt": { "name": "prompt" }, "seed": { "name": "seed", "tooltip": "Seed用于控制节点是否重新运行；无论seed如何，结果都是非确定性的。" }, "should_remesh": { "name": "should_remesh", "tooltip": "设置为false时，返回未处理的三角网格。" }, "should_remesh_target_polycount": { "name": "target_polycount" }, "should_remesh_topology": { "name": "topology" }, "style": { "name": "style" }, "symmetry_mode": { "name": "symmetry_mode" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MeshyTextureNode": { "display_name": "Meshy：纹理模型", "inputs": { "enable_original_uv": { "name": "启用原始UV", "tooltip": "使用模型的原始UV，而不是生成新的UV。启用后，Meshy会保留上传模型中已有的纹理。如果模型没有原始UV，输出质量可能会有所下降。" }, "image_style": { "name": "图像风格", "tooltip": "用于引导纹理生成的2D图像。不能与“text_style_prompt”同时使用。" }, "meshy_task_id": { "name": "meshy_task_id" }, "model": { "name": "模型" }, "pbr": { "name": "PBR" }, "text_style_prompt": { "name": "文本风格提示", "tooltip": "用文本描述你想要的物体纹理风格。最多600个字符。不能与“image_style”同时使用。" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null }, { "name": "FBX", "tooltip": null } ] }, "MinimaxHailuoVideoNode": { "description": "使用新的 MiniMax Hailuo-02 模型从提示词生成视频，可选择起始帧。", "display_name": "MiniMax 海螺视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的长度（秒）。" }, "first_frame_image": { "name": "第一帧图像", "tooltip": "可选图像，用作生成视频的第一帧。" }, "prompt_optimizer": { "name": "提示优化器", "tooltip": "需要时优化提示词以提高生成质量。" }, "prompt_text": { "name": "提示文本", "tooltip": "指导视频生成的文本提示。" }, "resolution": { "name": "分辨率", "tooltip": "视频显示的尺寸。1080p为1920x1080，768p为1366x768。" }, "seed": { "name": "种子", "tooltip": "用于创建噪声的随机种子。" } }, "outputs": { "0": { "tooltip": null } } }, "MinimaxImageToVideoNode": { "description": "使用 MiniMax 的 API 根据图像和提示生成视频", "display_name": "MiniMax 图像转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像", "tooltip": "用于视频生成首帧的图像" }, "model": { "name": "模型", "tooltip": "用于视频生成的模型" }, "prompt_text": { "name": "提示词", "tooltip": "用于引导视频生成的文本提示" }, "seed": { "name": "随机种", "tooltip": "用于生成噪声的随机种子。" } }, "outputs": { "0": { "tooltip": null } } }, "MinimaxTextToVideoNode": { "description": "使用 MiniMax 的 API 根据提示生成视频", "display_name": "MiniMax 文本转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "model": { "name": "模型", "tooltip": "用于视频生成的模型" }, "prompt_text": { "name": "提示词", "tooltip": "用于引导视频生成的文本提示" }, "seed": { "name": "随机种", "tooltip": "用于生成噪声的随机种子。" } }, "outputs": { "0": { "tooltip": null } } }, "ModelComputeDtype": { "display_name": "模型计算Dtype", "inputs": { "dtype": { "name": "dtype" }, "model": { "name": "模型" } } }, "ModelMergeAdd": { "display_name": "模型相加", "inputs": { "model1": { "name": "模型1" }, "model2": { "name": "模型2" } } }, "ModelMergeAuraflow": { "display_name": "模型融合（Auraflow ）", "inputs": { "cond_seq_linear_": { "name": "条件序列线性." }, "double_layers_0_": { "name": "双层.0." }, "double_layers_1_": { "name": "双层.1." }, "double_layers_2_": { "name": "双层.2." }, "double_layers_3_": { "name": "双层.3." }, "final_linear_": { "name": "最终线性." }, "init_x_linear_": { "name": "初始x线性." }, "modF_": { "name": "modF." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "positional_encoding": { "name": "位置编码" }, "register_tokens": { "name": "注册令牌" }, "single_layers_0_": { "name": "单层.0." }, "single_layers_10_": { "name": "单层.10." }, "single_layers_11_": { "name": "单层.11." }, "single_layers_12_": { "name": "单层.12." }, "single_layers_13_": { "name": "单层.13." }, "single_layers_14_": { "name": "单层.14." }, "single_layers_15_": { "name": "单层.15." }, "single_layers_16_": { "name": "单层.16." }, "single_layers_17_": { "name": "单层.17." }, "single_layers_18_": { "name": "单层.18." }, "single_layers_19_": { "name": "单层.19." }, "single_layers_1_": { "name": "单层.1." }, "single_layers_20_": { "name": "单层.20." }, "single_layers_21_": { "name": "单层.21." }, "single_layers_22_": { "name": "单层.22." }, "single_layers_23_": { "name": "单层.23." }, "single_layers_24_": { "name": "单层.24." }, "single_layers_25_": { "name": "单层.25." }, "single_layers_26_": { "name": "单层.26." }, "single_layers_27_": { "name": "单层.27." }, "single_layers_28_": { "name": "单层.28." }, "single_layers_29_": { "name": "单层.29." }, "single_layers_2_": { "name": "单层.2." }, "single_layers_30_": { "name": "单层.30." }, "single_layers_31_": { "name": "单层.31." }, "single_layers_3_": { "name": "单层.3." }, "single_layers_4_": { "name": "单层.4." }, "single_layers_5_": { "name": "单层.5." }, "single_layers_6_": { "name": "单层.6." }, "single_layers_7_": { "name": "单层.7." }, "single_layers_8_": { "name": "单层.8." }, "single_layers_9_": { "name": "单层.9." }, "t_embedder_": { "name": "t嵌入器." } } }, "ModelMergeBlocks": { "display_name": "模型融合（分块）", "inputs": { "input": { "name": "输入" }, "middle": { "name": "中间" }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "out": { "name": "输出" } } }, "ModelMergeCosmos14B": { "display_name": "模型融合（Cosmos14B）", "inputs": { "affline_norm_": { "name": "仿射规范化." }, "blocks_block0_": { "name": "blocks.block0." }, "blocks_block10_": { "name": "blocks.block10." }, "blocks_block11_": { "name": "blocks.block11." }, "blocks_block12_": { "name": "blocks.block12." }, "blocks_block13_": { "name": "blocks.block13." }, "blocks_block14_": { "name": "blocks.block14." }, "blocks_block15_": { "name": "blocks.block15." }, "blocks_block16_": { "name": "blocks.block16." }, "blocks_block17_": { "name": "blocks.block17." }, "blocks_block18_": { "name": "blocks.block18." }, "blocks_block19_": { "name": "blocks.block19." }, "blocks_block1_": { "name": "blocks.block1." }, "blocks_block20_": { "name": "blocks.block20." }, "blocks_block21_": { "name": "blocks.block21." }, "blocks_block22_": { "name": "blocks.block22." }, "blocks_block23_": { "name": "blocks.block23." }, "blocks_block24_": { "name": "blocks.block24." }, "blocks_block25_": { "name": "blocks.block25." }, "blocks_block26_": { "name": "blocks.block26." }, "blocks_block27_": { "name": "blocks.block27." }, "blocks_block28_": { "name": "blocks.block28." }, "blocks_block29_": { "name": "blocks.block29." }, "blocks_block2_": { "name": "blocks.block2." }, "blocks_block30_": { "name": "blocks.block30." }, "blocks_block31_": { "name": "blocks.block31." }, "blocks_block32_": { "name": "blocks.block32." }, "blocks_block33_": { "name": "blocks.block33." }, "blocks_block34_": { "name": "blocks.block34." }, "blocks_block35_": { "name": "blocks.block35." }, "blocks_block3_": { "name": "blocks.block3." }, "blocks_block4_": { "name": "blocks.block4." }, "blocks_block5_": { "name": "blocks.block5." }, "blocks_block6_": { "name": "blocks.block6." }, "blocks_block7_": { "name": "blocks.block7." }, "blocks_block8_": { "name": "blocks.block8." }, "blocks_block9_": { "name": "blocks.block9." }, "extra_pos_embedder_": { "name": "额外位置嵌入器." }, "final_layer_": { "name": "最终层." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embedder_": { "name": "位置嵌入器." }, "t_embedder_": { "name": "t嵌入器." }, "x_embedder_": { "name": "x嵌入器." } } }, "ModelMergeCosmos7B": { "display_name": "模型融合（COsmos7B）", "inputs": { "affline_norm_": { "name": "仿射规范化." }, "blocks_block0_": { "name": "blocks.block0." }, "blocks_block10_": { "name": "blocks.block10." }, "blocks_block11_": { "name": "blocks.block11." }, "blocks_block12_": { "name": "blocks.block12." }, "blocks_block13_": { "name": "blocks.block13." }, "blocks_block14_": { "name": "blocks.block14." }, "blocks_block15_": { "name": "blocks.block15." }, "blocks_block16_": { "name": "blocks.block16." }, "blocks_block17_": { "name": "blocks.block17." }, "blocks_block18_": { "name": "blocks.block18." }, "blocks_block19_": { "name": "blocks.block19." }, "blocks_block1_": { "name": "blocks.block1." }, "blocks_block20_": { "name": "blocks.block20." }, "blocks_block21_": { "name": "blocks.block21." }, "blocks_block22_": { "name": "blocks.block22." }, "blocks_block23_": { "name": "blocks.block23." }, "blocks_block24_": { "name": "blocks.block24." }, "blocks_block25_": { "name": "blocks.block25." }, "blocks_block26_": { "name": "blocks.block26." }, "blocks_block27_": { "name": "blocks.block27." }, "blocks_block2_": { "name": "blocks.block2." }, "blocks_block3_": { "name": "blocks.block3." }, "blocks_block4_": { "name": "blocks.block4." }, "blocks_block5_": { "name": "blocks.block5." }, "blocks_block6_": { "name": "blocks.block6." }, "blocks_block7_": { "name": "blocks.block7." }, "blocks_block8_": { "name": "blocks.block8." }, "blocks_block9_": { "name": "blocks.block9." }, "extra_pos_embedder_": { "name": "额外位置嵌入器." }, "final_layer_": { "name": "最终层." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embedder_": { "name": "位置嵌入器." }, "t_embedder_": { "name": "t嵌入器." }, "x_embedder_": { "name": "x嵌入器." } } }, "ModelMergeCosmosPredict2_14B": { "display_name": "模型融合（CosmosPredict2_14B）", "inputs": { "blocks_0_": { "name": "块0。" }, "blocks_10_": { "name": "块10。" }, "blocks_11_": { "name": "块11。" }, "blocks_12_": { "name": "块12。" }, "blocks_13_": { "name": "块13。" }, "blocks_14_": { "name": "块14。" }, "blocks_15_": { "name": "块15。" }, "blocks_16_": { "name": "块16。" }, "blocks_17_": { "name": "块17。" }, "blocks_18_": { "name": "块18。" }, "blocks_19_": { "name": "块19。" }, "blocks_1_": { "name": "块1。" }, "blocks_20_": { "name": "块20。" }, "blocks_21_": { "name": "块21。" }, "blocks_22_": { "name": "块22。" }, "blocks_23_": { "name": "块23。" }, "blocks_24_": { "name": "块24。" }, "blocks_25_": { "name": "块25。" }, "blocks_26_": { "name": "块26。" }, "blocks_27_": { "name": "块27。" }, "blocks_28_": { "name": "块28。" }, "blocks_29_": { "name": "块29。" }, "blocks_2_": { "name": "块2。" }, "blocks_30_": { "name": "块30。" }, "blocks_31_": { "name": "块31。" }, "blocks_32_": { "name": "块32。" }, "blocks_33_": { "name": "块33。" }, "blocks_34_": { "name": "块34。" }, "blocks_35_": { "name": "块35。" }, "blocks_3_": { "name": "块3。" }, "blocks_4_": { "name": "块4。" }, "blocks_5_": { "name": "块5。" }, "blocks_6_": { "name": "块6。" }, "blocks_7_": { "name": "块7。" }, "blocks_8_": { "name": "块8。" }, "blocks_9_": { "name": "块9。" }, "final_layer_": { "name": "最终层。" }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embedder_": { "name": "位置嵌入器。" }, "t_embedder_": { "name": "t嵌入器。" }, "t_embedding_norm_": { "name": "t嵌入归一化。" }, "x_embedder_": { "name": "x嵌入器。" } } }, "ModelMergeCosmosPredict2_2B": { "display_name": "模型融合（CosmosPredict2_2B）", "inputs": { "blocks_0_": { "name": "块.0." }, "blocks_10_": { "name": "块.10." }, "blocks_11_": { "name": "块.11." }, "blocks_12_": { "name": "块.12." }, "blocks_13_": { "name": "块.13." }, "blocks_14_": { "name": "块.14." }, "blocks_15_": { "name": "块.15." }, "blocks_16_": { "name": "块.16." }, "blocks_17_": { "name": "块.17." }, "blocks_18_": { "name": "块.18." }, "blocks_19_": { "name": "块.19." }, "blocks_1_": { "name": "块.1." }, "blocks_20_": { "name": "块.20." }, "blocks_21_": { "name": "块.21." }, "blocks_22_": { "name": "块.22." }, "blocks_23_": { "name": "块.23." }, "blocks_24_": { "name": "块.24." }, "blocks_25_": { "name": "块.25." }, "blocks_26_": { "name": "块.26." }, "blocks_27_": { "name": "块.27." }, "blocks_2_": { "name": "块.2." }, "blocks_3_": { "name": "块.3." }, "blocks_4_": { "name": "块.4." }, "blocks_5_": { "name": "块.5." }, "blocks_6_": { "name": "块.6." }, "blocks_7_": { "name": "块.7." }, "blocks_8_": { "name": "块.8." }, "blocks_9_": { "name": "块.9." }, "final_layer_": { "name": "最终层。" }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embedder_": { "name": "位置嵌入器。" }, "t_embedder_": { "name": "t_嵌入器。" }, "t_embedding_norm_": { "name": "t_嵌入归一化。" }, "x_embedder_": { "name": "x_嵌入器。" } } }, "ModelMergeFlux1": { "display_name": "模型融合（Flux1）", "inputs": { "double_blocks_0_": { "name": "双块.0." }, "double_blocks_10_": { "name": "双块.10." }, "double_blocks_11_": { "name": "双块.11." }, "double_blocks_12_": { "name": "双块.12." }, "double_blocks_13_": { "name": "双块.13." }, "double_blocks_14_": { "name": "双块.14." }, "double_blocks_15_": { "name": "双块.15." }, "double_blocks_16_": { "name": "双块.16." }, "double_blocks_17_": { "name": "双块.17." }, "double_blocks_18_": { "name": "双块.18." }, "double_blocks_1_": { "name": "双块.1." }, "double_blocks_2_": { "name": "双块.2." }, "double_blocks_3_": { "name": "双块.3." }, "double_blocks_4_": { "name": "双块.4." }, "double_blocks_5_": { "name": "双块.5." }, "double_blocks_6_": { "name": "双块.6." }, "double_blocks_7_": { "name": "双块.7." }, "double_blocks_8_": { "name": "双块.8." }, "double_blocks_9_": { "name": "双块.9." }, "final_layer_": { "name": "最终层." }, "guidance_in": { "name": "输入引导" }, "img_in_": { "name": "输入图像." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "single_blocks_0_": { "name": "单块.0." }, "single_blocks_10_": { "name": "单块.10." }, "single_blocks_11_": { "name": "单块.11." }, "single_blocks_12_": { "name": "单块.12." }, "single_blocks_13_": { "name": "单块.13." }, "single_blocks_14_": { "name": "单块.14." }, "single_blocks_15_": { "name": "单块.15." }, "single_blocks_16_": { "name": "单块.16." }, "single_blocks_17_": { "name": "单块.17." }, "single_blocks_18_": { "name": "单块.18." }, "single_blocks_19_": { "name": "单块.19." }, "single_blocks_1_": { "name": "单块.1." }, "single_blocks_20_": { "name": "单块.20." }, "single_blocks_21_": { "name": "单块.21." }, "single_blocks_22_": { "name": "单块.22." }, "single_blocks_23_": { "name": "单块.23." }, "single_blocks_24_": { "name": "单块.24." }, "single_blocks_25_": { "name": "单块.25." }, "single_blocks_26_": { "name": "单块.26." }, "single_blocks_27_": { "name": "单块.27." }, "single_blocks_28_": { "name": "单块.28." }, "single_blocks_29_": { "name": "单块.29." }, "single_blocks_2_": { "name": "单块.2." }, "single_blocks_30_": { "name": "单块.30." }, "single_blocks_31_": { "name": "单块.31." }, "single_blocks_32_": { "name": "单块.32." }, "single_blocks_33_": { "name": "单块.33." }, "single_blocks_34_": { "name": "单块.34." }, "single_blocks_35_": { "name": "单块.35." }, "single_blocks_36_": { "name": "单块.36." }, "single_blocks_37_": { "name": "单块.37." }, "single_blocks_3_": { "name": "单块.3." }, "single_blocks_4_": { "name": "单块.4." }, "single_blocks_5_": { "name": "单块.5." }, "single_blocks_6_": { "name": "单块.6." }, "single_blocks_7_": { "name": "单块.7." }, "single_blocks_8_": { "name": "单块.8." }, "single_blocks_9_": { "name": "单块.9." }, "time_in_": { "name": "输入时间." }, "txt_in_": { "name": "输入文本." }, "vector_in_": { "name": "输入向量." } } }, "ModelMergeLTXV": { "display_name": "模型融合（LTXV）", "inputs": { "adaln_single_": { "name": "adaln_single." }, "caption_projection_": { "name": "caption_projection." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "patchify_proj_": { "name": "patchify_proj." }, "proj_out_": { "name": "proj_out." }, "scale_shift_table": { "name": "scale_shift_table" }, "transformer_blocks_0_": { "name": "transformer_blocks.0." }, "transformer_blocks_10_": { "name": "transformer_blocks.10." }, "transformer_blocks_11_": { "name": "transformer_blocks.11." }, "transformer_blocks_12_": { "name": "transformer_blocks.12." }, "transformer_blocks_13_": { "name": "transformer_blocks.13." }, "transformer_blocks_14_": { "name": "transformer_blocks.14." }, "transformer_blocks_15_": { "name": "transformer_blocks.15." }, "transformer_blocks_16_": { "name": "transformer_blocks.16." }, "transformer_blocks_17_": { "name": "transformer_blocks.17." }, "transformer_blocks_18_": { "name": "transformer_blocks.18." }, "transformer_blocks_19_": { "name": "transformer_blocks.19." }, "transformer_blocks_1_": { "name": "transformer_blocks.1." }, "transformer_blocks_20_": { "name": "transformer_blocks.20." }, "transformer_blocks_21_": { "name": "transformer_blocks.21." }, "transformer_blocks_22_": { "name": "transformer_blocks.22." }, "transformer_blocks_23_": { "name": "transformer_blocks.23." }, "transformer_blocks_24_": { "name": "transformer_blocks.24." }, "transformer_blocks_25_": { "name": "transformer_blocks.25." }, "transformer_blocks_26_": { "name": "transformer_blocks.26." }, "transformer_blocks_27_": { "name": "transformer_blocks.27." }, "transformer_blocks_2_": { "name": "transformer_blocks.2." }, "transformer_blocks_3_": { "name": "transformer_blocks.3." }, "transformer_blocks_4_": { "name": "transformer_blocks.4." }, "transformer_blocks_5_": { "name": "transformer_blocks.5." }, "transformer_blocks_6_": { "name": "transformer_blocks.6." }, "transformer_blocks_7_": { "name": "transformer_blocks.7." }, "transformer_blocks_8_": { "name": "transformer_blocks.8." }, "transformer_blocks_9_": { "name": "transformer_blocks.9." } } }, "ModelMergeMochiPreview": { "display_name": "模型融合（Mochi预览）", "inputs": { "blocks_0_": { "name": "blocks.0." }, "blocks_10_": { "name": "blocks.10." }, "blocks_11_": { "name": "blocks.11." }, "blocks_12_": { "name": "blocks.12." }, "blocks_13_": { "name": "blocks.13." }, "blocks_14_": { "name": "blocks.14." }, "blocks_15_": { "name": "blocks.15." }, "blocks_16_": { "name": "blocks.16." }, "blocks_17_": { "name": "blocks.17." }, "blocks_18_": { "name": "blocks.18." }, "blocks_19_": { "name": "blocks.19." }, "blocks_1_": { "name": "blocks.1." }, "blocks_20_": { "name": "blocks.20." }, "blocks_21_": { "name": "blocks.21." }, "blocks_22_": { "name": "blocks.22." }, "blocks_23_": { "name": "blocks.23." }, "blocks_24_": { "name": "blocks.24." }, "blocks_25_": { "name": "blocks.25." }, "blocks_26_": { "name": "blocks.26." }, "blocks_27_": { "name": "blocks.27." }, "blocks_28_": { "name": "blocks.28." }, "blocks_29_": { "name": "blocks.29." }, "blocks_2_": { "name": "blocks.2." }, "blocks_30_": { "name": "blocks.30." }, "blocks_31_": { "name": "blocks.31." }, "blocks_32_": { "name": "blocks.32." }, "blocks_33_": { "name": "blocks.33." }, "blocks_34_": { "name": "blocks.34." }, "blocks_35_": { "name": "blocks.35." }, "blocks_36_": { "name": "blocks.36." }, "blocks_37_": { "name": "blocks.37." }, "blocks_38_": { "name": "blocks.38." }, "blocks_39_": { "name": "blocks.39." }, "blocks_3_": { "name": "blocks.3." }, "blocks_40_": { "name": "blocks.40." }, "blocks_41_": { "name": "blocks.41." }, "blocks_42_": { "name": "blocks.42." }, "blocks_43_": { "name": "blocks.43." }, "blocks_44_": { "name": "blocks.44." }, "blocks_45_": { "name": "blocks.45." }, "blocks_46_": { "name": "blocks.46." }, "blocks_47_": { "name": "blocks.47." }, "blocks_4_": { "name": "blocks.4." }, "blocks_5_": { "name": "blocks.5." }, "blocks_6_": { "name": "blocks.6." }, "blocks_7_": { "name": "blocks.7." }, "blocks_8_": { "name": "blocks.8." }, "blocks_9_": { "name": "blocks.9." }, "final_layer_": { "name": "final_layer." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_frequencies_": { "name": "pos_frequencies." }, "t5_y_embedder_": { "name": "t5_y_embedder." }, "t5_yproj_": { "name": "t5_yproj." }, "t_embedder_": { "name": "t_embedder." } } }, "ModelMergeQwenImage": { "display_name": "模型融合Qwen图像", "inputs": { "img_in_": { "name": "图像输入。" }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embeds_": { "name": "位置嵌入。" }, "proj_out_": { "name": "proj_out." }, "time_text_embed_": { "name": "时间文本嵌入。" }, "transformer_blocks_0_": { "name": "变换器块.0." }, "transformer_blocks_10_": { "name": "transformer_blocks.10." }, "transformer_blocks_11_": { "name": "transformer_blocks.11." }, "transformer_blocks_12_": { "name": "transformer_blocks.12." }, "transformer_blocks_13_": { "name": "transformer_blocks.13." }, "transformer_blocks_14_": { "name": "transformer_blocks.14." }, "transformer_blocks_15_": { "name": "transformer_blocks.15." }, "transformer_blocks_16_": { "name": "transformer_blocks.16." }, "transformer_blocks_17_": { "name": "transformer_blocks.17." }, "transformer_blocks_18_": { "name": "transformer_blocks.18." }, "transformer_blocks_19_": { "name": "transformer_blocks.19." }, "transformer_blocks_1_": { "name": "变换器块.1." }, "transformer_blocks_20_": { "name": "transformer_blocks.20." }, "transformer_blocks_21_": { "name": "transformer_blocks.21." }, "transformer_blocks_22_": { "name": "transformer_blocks.22." }, "transformer_blocks_23_": { "name": "transformer_blocks.23." }, "transformer_blocks_24_": { "name": "transformer_blocks.24." }, "transformer_blocks_25_": { "name": "transformer_blocks.25." }, "transformer_blocks_26_": { "name": "transformer_blocks.26." }, "transformer_blocks_27_": { "name": "transformer_blocks.27." }, "transformer_blocks_28_": { "name": "transformer_blocks.28." }, "transformer_blocks_29_": { "name": "transformer_blocks.29." }, "transformer_blocks_2_": { "name": "变换器块.2." }, "transformer_blocks_30_": { "name": "transformer_blocks.30." }, "transformer_blocks_31_": { "name": "transformer_blocks.31." }, "transformer_blocks_32_": { "name": "transformer_blocks.32." }, "transformer_blocks_33_": { "name": "transformer_blocks.33." }, "transformer_blocks_34_": { "name": "transformer_blocks.34." }, "transformer_blocks_35_": { "name": "transformer_blocks.35." }, "transformer_blocks_36_": { "name": "transformer_blocks.36." }, "transformer_blocks_37_": { "name": "transformer_blocks.37." }, "transformer_blocks_38_": { "name": "transformer_blocks.38." }, "transformer_blocks_39_": { "name": "transformer_blocks.39." }, "transformer_blocks_3_": { "name": "变换器块.3." }, "transformer_blocks_40_": { "name": "transformer_blocks.40." }, "transformer_blocks_41_": { "name": "transformer_blocks.41." }, "transformer_blocks_42_": { "name": "transformer_blocks.42." }, "transformer_blocks_43_": { "name": "transformer_blocks.43." }, "transformer_blocks_44_": { "name": "transformer_blocks.44." }, "transformer_blocks_45_": { "name": "transformer_blocks.45." }, "transformer_blocks_46_": { "name": "transformer_blocks.46." }, "transformer_blocks_47_": { "name": "transformer_blocks.47." }, "transformer_blocks_48_": { "name": "transformer_blocks.48." }, "transformer_blocks_49_": { "name": "transformer_blocks.49." }, "transformer_blocks_4_": { "name": "变换器块.4." }, "transformer_blocks_50_": { "name": "transformer_blocks.50." }, "transformer_blocks_51_": { "name": "transformer_blocks.51." }, "transformer_blocks_52_": { "name": "transformer_blocks.52." }, "transformer_blocks_53_": { "name": "transformer_blocks.53." }, "transformer_blocks_54_": { "name": "transformer_blocks.54." }, "transformer_blocks_55_": { "name": "transformer_blocks.55." }, "transformer_blocks_56_": { "name": "transformer_blocks.56." }, "transformer_blocks_57_": { "name": "transformer_blocks.57." }, "transformer_blocks_58_": { "name": "transformer_blocks.58." }, "transformer_blocks_59_": { "name": "transformer_blocks.59." }, "transformer_blocks_5_": { "name": "变换器块.5." }, "transformer_blocks_6_": { "name": "变换器块.6." }, "transformer_blocks_7_": { "name": "变换器块.7." }, "transformer_blocks_8_": { "name": "变换器块.8." }, "transformer_blocks_9_": { "name": "变换器块.9." }, "txt_in_": { "name": "文本输入。" }, "txt_norm_": { "name": "文本归一化。" } } }, "ModelMergeSD1": { "display_name": "模型融合（SD1）", "inputs": { "input_blocks_0_": { "name": "输入块.0." }, "input_blocks_10_": { "name": "输入块.10." }, "input_blocks_11_": { "name": "输入块.11." }, "input_blocks_1_": { "name": "输入块.1." }, "input_blocks_2_": { "name": "输入块.2." }, "input_blocks_3_": { "name": "输入块.3." }, "input_blocks_4_": { "name": "输入块.4." }, "input_blocks_5_": { "name": "输入块.5." }, "input_blocks_6_": { "name": "输入块.6." }, "input_blocks_7_": { "name": "输入块.7." }, "input_blocks_8_": { "name": "输入块.8." }, "input_blocks_9_": { "name": "输入块.9." }, "label_emb_": { "name": "标签嵌入." }, "middle_block_0_": { "name": "中间块.0." }, "middle_block_1_": { "name": "中间块.1." }, "middle_block_2_": { "name": "中间块.2." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "out_": { "name": "出." }, "output_blocks_0_": { "name": "输出块.0." }, "output_blocks_10_": { "name": "输出块.10." }, "output_blocks_11_": { "name": "输出块.11." }, "output_blocks_1_": { "name": "输出块.1." }, "output_blocks_2_": { "name": "输出块.2." }, "output_blocks_3_": { "name": "输出块.3." }, "output_blocks_4_": { "name": "输出块.4." }, "output_blocks_5_": { "name": "输出块.5." }, "output_blocks_6_": { "name": "输出块.6." }, "output_blocks_7_": { "name": "输出块.7." }, "output_blocks_8_": { "name": "输出块.8." }, "output_blocks_9_": { "name": "输出块.9." }, "time_embed_": { "name": "时间嵌入." } } }, "ModelMergeSD2": { "display_name": "模型融合（SD2）", "inputs": { "input_blocks_0_": { "name": "输入块.0." }, "input_blocks_10_": { "name": "输入块.10." }, "input_blocks_11_": { "name": "输入块.11." }, "input_blocks_1_": { "name": "输入块.1." }, "input_blocks_2_": { "name": "输入块.2." }, "input_blocks_3_": { "name": "输入块.3." }, "input_blocks_4_": { "name": "输入块.4." }, "input_blocks_5_": { "name": "输入块.5." }, "input_blocks_6_": { "name": "输入块.6." }, "input_blocks_7_": { "name": "输入块.7." }, "input_blocks_8_": { "name": "输入块.8." }, "input_blocks_9_": { "name": "输入块.9." }, "label_emb_": { "name": "标签嵌入." }, "middle_block_0_": { "name": "中间块.0." }, "middle_block_1_": { "name": "中间块.1." }, "middle_block_2_": { "name": "中间块.2." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "out_": { "name": "出." }, "output_blocks_0_": { "name": "输出块.0." }, "output_blocks_10_": { "name": "输出块.10." }, "output_blocks_11_": { "name": "输出块.11." }, "output_blocks_1_": { "name": "输出块.1." }, "output_blocks_2_": { "name": "输出块.2." }, "output_blocks_3_": { "name": "输出块.3." }, "output_blocks_4_": { "name": "输出块.4." }, "output_blocks_5_": { "name": "输出块.5." }, "output_blocks_6_": { "name": "输出块.6." }, "output_blocks_7_": { "name": "输出块.7." }, "output_blocks_8_": { "name": "输出块.8." }, "output_blocks_9_": { "name": "输出块.9." }, "time_embed_": { "name": "时间嵌入." } } }, "ModelMergeSD35_Large": { "display_name": "模型融合（SD35_大）", "inputs": { "context_embedder_": { "name": "上下文嵌入器." }, "final_layer_": { "name": "最终层." }, "joint_blocks_0_": { "name": "联合块.0." }, "joint_blocks_10_": { "name": "联合块.10." }, "joint_blocks_11_": { "name": "联合块.11." }, "joint_blocks_12_": { "name": "联合块.12." }, "joint_blocks_13_": { "name": "联合块.13." }, "joint_blocks_14_": { "name": "联合块.14." }, "joint_blocks_15_": { "name": "联合块.15." }, "joint_blocks_16_": { "name": "联合块.16." }, "joint_blocks_17_": { "name": "联合块.17." }, "joint_blocks_18_": { "name": "联合块.18." }, "joint_blocks_19_": { "name": "联合块.19." }, "joint_blocks_1_": { "name": "联合块.1." }, "joint_blocks_20_": { "name": "联合块.20." }, "joint_blocks_21_": { "name": "联合块.21." }, "joint_blocks_22_": { "name": "联合块.22." }, "joint_blocks_23_": { "name": "联合块.23." }, "joint_blocks_24_": { "name": "联合块.24." }, "joint_blocks_25_": { "name": "联合块.25." }, "joint_blocks_26_": { "name": "联合块.26." }, "joint_blocks_27_": { "name": "联合块.27." }, "joint_blocks_28_": { "name": "联合块.28." }, "joint_blocks_29_": { "name": "联合块.29." }, "joint_blocks_2_": { "name": "联合块.2." }, "joint_blocks_30_": { "name": "联合块.30." }, "joint_blocks_31_": { "name": "联合块.31." }, "joint_blocks_32_": { "name": "联合块.32." }, "joint_blocks_33_": { "name": "联合块.33." }, "joint_blocks_34_": { "name": "联合块.34." }, "joint_blocks_35_": { "name": "联合块.35." }, "joint_blocks_36_": { "name": "联合块.36." }, "joint_blocks_37_": { "name": "联合块.37." }, "joint_blocks_3_": { "name": "联合块.3." }, "joint_blocks_4_": { "name": "联合块.4." }, "joint_blocks_5_": { "name": "联合块.5." }, "joint_blocks_6_": { "name": "联合块.6." }, "joint_blocks_7_": { "name": "联合块.7." }, "joint_blocks_8_": { "name": "联合块.8." }, "joint_blocks_9_": { "name": "联合块.9." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embed_": { "name": "位置嵌入." }, "t_embedder_": { "name": "t嵌入器." }, "x_embedder_": { "name": "x嵌入器." }, "y_embedder_": { "name": "y嵌入器." } } }, "ModelMergeSD3_2B": { "display_name": "模型融合（SD3_2B）", "inputs": { "context_embedder_": { "name": "上下文嵌入器." }, "final_layer_": { "name": "最终层." }, "joint_blocks_0_": { "name": "联合块.0." }, "joint_blocks_10_": { "name": "联合块.10." }, "joint_blocks_11_": { "name": "联合块.11." }, "joint_blocks_12_": { "name": "联合块.12." }, "joint_blocks_13_": { "name": "联合块.13." }, "joint_blocks_14_": { "name": "联合块.14." }, "joint_blocks_15_": { "name": "联合块.15." }, "joint_blocks_16_": { "name": "联合块.16." }, "joint_blocks_17_": { "name": "联合块.17." }, "joint_blocks_18_": { "name": "联合块.18." }, "joint_blocks_19_": { "name": "联合块.19." }, "joint_blocks_1_": { "name": "联合块.1." }, "joint_blocks_20_": { "name": "联合块.20." }, "joint_blocks_21_": { "name": "联合块.21." }, "joint_blocks_22_": { "name": "联合块.22." }, "joint_blocks_23_": { "name": "联合块.23." }, "joint_blocks_2_": { "name": "联合块.2." }, "joint_blocks_3_": { "name": "联合块.3." }, "joint_blocks_4_": { "name": "联合块.4." }, "joint_blocks_5_": { "name": "联合块.5." }, "joint_blocks_6_": { "name": "联合块.6." }, "joint_blocks_7_": { "name": "联合块.7." }, "joint_blocks_8_": { "name": "联合块.8." }, "joint_blocks_9_": { "name": "联合块.9." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "pos_embed_": { "name": "位置嵌入." }, "t_embedder_": { "name": "t嵌入器." }, "x_embedder_": { "name": "x嵌入器." }, "y_embedder_": { "name": "y嵌入器." } } }, "ModelMergeSDXL": { "display_name": "模型融合（SDXL）", "inputs": { "input_blocks_0": { "name": "输入块.0" }, "input_blocks_1": { "name": "输入块.1" }, "input_blocks_2": { "name": "输入块.2" }, "input_blocks_3": { "name": "输入块.3" }, "input_blocks_4": { "name": "输入块.4" }, "input_blocks_5": { "name": "输入块.5" }, "input_blocks_6": { "name": "输入块.6" }, "input_blocks_7": { "name": "输入块.7" }, "input_blocks_8": { "name": "输入块.8" }, "label_emb_": { "name": "标签嵌入." }, "middle_block_0": { "name": "中间块.0" }, "middle_block_1": { "name": "中间块.1" }, "middle_block_2": { "name": "中间块.2" }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "out_": { "name": "输出." }, "output_blocks_0": { "name": "输出块.0" }, "output_blocks_1": { "name": "输出块.1" }, "output_blocks_2": { "name": "输出块.2" }, "output_blocks_3": { "name": "输出块.3" }, "output_blocks_4": { "name": "输出块.4" }, "output_blocks_5": { "name": "输出块.5" }, "output_blocks_6": { "name": "输出块.6" }, "output_blocks_7": { "name": "输出块.7" }, "output_blocks_8": { "name": "输出块.8" }, "time_embed_": { "name": "时间嵌入." } } }, "ModelMergeSimple": { "display_name": "模型融合（简易）", "inputs": { "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "ratio": { "name": "比例" } } }, "ModelMergeSubtract": { "display_name": "模型相减", "inputs": { "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "multiplier": { "name": "乘数" } } }, "ModelMergeWAN2_1": { "description": "1.3B模型有30个模块，14B模型有40个模块。图像转视频模型有额外的img_emb。", "display_name": "模型融合（WAN2.1）", "inputs": { "blocks_0_": { "name": "blocks.0." }, "blocks_10_": { "name": "blocks.10." }, "blocks_11_": { "name": "blocks.11." }, "blocks_12_": { "name": "blocks.12." }, "blocks_13_": { "name": "blocks.13." }, "blocks_14_": { "name": "blocks.14." }, "blocks_15_": { "name": "blocks.15." }, "blocks_16_": { "name": "blocks.16." }, "blocks_17_": { "name": "blocks.17." }, "blocks_18_": { "name": "blocks.18." }, "blocks_19_": { "name": "blocks.19." }, "blocks_1_": { "name": "blocks.1." }, "blocks_20_": { "name": "blocks.20." }, "blocks_21_": { "name": "blocks.21." }, "blocks_22_": { "name": "blocks.22." }, "blocks_23_": { "name": "blocks.23." }, "blocks_24_": { "name": "blocks.24." }, "blocks_25_": { "name": "blocks.25." }, "blocks_26_": { "name": "blocks.26." }, "blocks_27_": { "name": "blocks.27." }, "blocks_28_": { "name": "blocks.28." }, "blocks_29_": { "name": "blocks.29." }, "blocks_2_": { "name": "blocks.2." }, "blocks_30_": { "name": "blocks.30." }, "blocks_31_": { "name": "blocks.31." }, "blocks_32_": { "name": "blocks.32." }, "blocks_33_": { "name": "blocks.33." }, "blocks_34_": { "name": "blocks.34." }, "blocks_35_": { "name": "blocks.35." }, "blocks_36_": { "name": "blocks.36." }, "blocks_37_": { "name": "blocks.37." }, "blocks_38_": { "name": "blocks.38." }, "blocks_39_": { "name": "blocks.39." }, "blocks_3_": { "name": "blocks.3." }, "blocks_4_": { "name": "blocks.4." }, "blocks_5_": { "name": "blocks.5." }, "blocks_6_": { "name": "blocks.6." }, "blocks_7_": { "name": "blocks.7." }, "blocks_8_": { "name": "blocks.8." }, "blocks_9_": { "name": "blocks.9." }, "head_": { "name": "head." }, "img_emb_": { "name": "img_emb." }, "model1": { "name": "模型1" }, "model2": { "name": "模型2" }, "patch_embedding_": { "name": "patch_embedding." }, "text_embedding_": { "name": "text_embedding." }, "time_embedding_": { "name": "time_embedding." }, "time_projection_": { "name": "time_projection." } } }, "ModelPatchLoader": { "display_name": "加载模型补丁", "inputs": { "name": { "name": "名称" } } }, "ModelSamplingAuraFlow": { "display_name": "采样算法（AuraFlow）", "inputs": { "model": { "name": "模型" }, "shift": { "name": "移位" } } }, "ModelSamplingContinuousEDM": { "display_name": "采样算法（连续EDM）", "inputs": { "model": { "name": "模型" }, "sampling": { "name": "采样" }, "sigma_max": { "name": "最大西格玛" }, "sigma_min": { "name": "最小西格玛" } } }, "ModelSamplingContinuousV": { "display_name": "采样算法（连续V）", "inputs": { "model": { "name": "模型" }, "sampling": { "name": "采样" }, "sigma_max": { "name": "最大西格玛" }, "sigma_min": { "name": "最小西格玛" } } }, "ModelSamplingDiscrete": { "display_name": "采样算法（离散）", "inputs": { "model": { "name": "模型" }, "sampling": { "name": "采样" }, "zsnr": { "name": "zsnr" } } }, "ModelSamplingFlux": { "display_name": "采样算法（Flux）", "inputs": { "base_shift": { "name": "基础移位" }, "height": { "name": "高度" }, "max_shift": { "name": "最大移位" }, "model": { "name": "模型" }, "width": { "name": "宽度" } } }, "ModelSamplingLTXV": { "display_name": "采样算法（LTXV）", "inputs": { "base_shift": { "name": "基础移位" }, "latent": { "name": "Latent" }, "max_shift": { "name": "最大移位" }, "model": { "name": "模型" } }, "outputs": { "0": { "tooltip": null } } }, "ModelSamplingSD3": { "display_name": "采样算法（SD3）", "inputs": { "model": { "name": "模型" }, "shift": { "name": "移位" } } }, "ModelSamplingStableCascade": { "display_name": "采样算法（Stable Cascade）", "inputs": { "model": { "name": "模型" }, "shift": { "name": "移位" } } }, "ModelSave": { "display_name": "保存模型", "inputs": { "filename_prefix": { "name": "文件名前缀" }, "model": { "name": "模型" } } }, "MoonvalleyImg2VideoNode": { "description": "Moonvalley Marey 图像转视频节点", "display_name": "Moonvalley Marey 图像转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像", "tooltip": "用于生成视频的参考图像" }, "negative_prompt": { "name": "负面提示词", "tooltip": "负面提示词文本" }, "prompt": { "name": "提示词" }, "prompt_adherence": { "name": "提示词遵循度", "tooltip": "用于生成控制的引导尺度" }, "resolution": { "name": "分辨率", "tooltip": "输出视频的分辨率" }, "seed": { "name": "种子", "tooltip": "随机种子值" }, "steps": { "name": "步数", "tooltip": "去噪步数" } }, "outputs": { "0": { "tooltip": null } } }, "MoonvalleyTxt2VideoNode": { "display_name": "Moonvalley Marey 文本转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "negative_prompt": { "name": "负面提示词", "tooltip": "负面提示词文本" }, "prompt": { "name": "提示词" }, "prompt_adherence": { "name": "提示词遵循度", "tooltip": "用于生成控制的引导尺度" }, "resolution": { "name": "分辨率", "tooltip": "输出视频的分辨率" }, "seed": { "name": "种子", "tooltip": "随机种子值" }, "steps": { "name": "步数", "tooltip": "推理步数" } }, "outputs": { "0": { "tooltip": null } } }, "MoonvalleyVideo2VideoNode": { "display_name": "Moonvalley Marey 视频转视频", "inputs": { "control_type": { "name": "控制类型" }, "motion_intensity": { "name": "运动强度", "tooltip": "仅在控制类型为'运动转移'时使用" }, "negative_prompt": { "name": "负面提示词", "tooltip": "负面提示词文本" }, "prompt": { "name": "提示词", "tooltip": "描述要生成的视频" }, "seed": { "name": "种子", "tooltip": "随机种子值" }, "steps": { "name": "步数", "tooltip": "推理步数" }, "video": { "name": "视频", "tooltip": "用于生成输出视频的参考视频。必须至少5秒长。超过5秒的视频将被自动裁剪。仅支持MP4格式。" } }, "outputs": { "0": { "tooltip": null } } }, "Morphology": { "display_name": "图像形态学", "inputs": { "image": { "name": "图像" }, "kernel_size": { "name": "核心大小" }, "operation": { "name": "操作" } }, "outputs": { "0": { "tooltip": null } } }, "NormalizeImages": { "display_name": "规格化图像", "inputs": { "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "mean": { "name": "平均", "tooltip": "规格化的平均值。" }, "std": { "name": "标准差", "tooltip": "规格化的标准差。" } }, "outputs": { "0": { "name": "图像", "tooltip": "已处理的图像" } } }, "NormalizeVideoLatentStart": { "description": "将视频初始帧的 Latent 规格化，使其符合后续参考帧的平均值与标准差。有助于减少起始帧与视频其余部分之间的差异。", "display_name": "规格化视频Latent", "inputs": { "latent": { "name": "Latent" }, "reference_frame_count": { "name": "参考数量", "tooltip": "从起始帧开始，用于参考的 Latent 数量" }, "start_frame_count": { "name": "规格化数量", "tooltip": "从起始帧开始，需要规格化的 Latent 数量" } }, "outputs": { "0": { "name": "latent", "tooltip": null } } }, "OpenAIChatConfig": { "description": "允许为OpenAI聊天节点指定高级配置选项。", "display_name": "OpenAI ChatGPT 高级选项", "inputs": { "instructions": { "name": "指令", "tooltip": "指导模型如何生成响应的指令" }, "max_output_tokens": { "name": "Token输出上限", "tooltip": "生成响应时可生成token数量的上限，包括可见输出token" }, "truncation": { "name": "截断", "tooltip": "用于模型响应的截断策略。auto：如果此响应和先前响应的上下文超过模型的上下文窗口大小，模型将通过丢弃对话中间部分的输入项来截断响应以适应上下文窗口。disabled：如果模型响应将超过模型的上下文窗口大小，请求将失败并返回400错误。" } }, "outputs": { "0": { "tooltip": null } } }, "OpenAIChatNode": { "description": "从OpenAI模型生成文本响应。", "display_name": "OpenAI ChatGPT", "inputs": { "advanced_options": { "name": "高级设置", "tooltip": "模型的可选配置。接受来自OpenAI聊天高级选项节点的输入。" }, "files": { "name": "文件", "tooltip": "可选文件，用作模型的上下文。接受来自OpenAI聊天输入文件节点的输入。" }, "images": { "name": "图像", "tooltip": "可选图像，用作模型的上下文。要包含多张图像，可使用批处理图像节点。" }, "model": { "name": "模型", "tooltip": "用于生成响应的模型" }, "persist_context": { "name": "保持上下文", "tooltip": "此参数已弃用，无任何效果。" }, "prompt": { "name": "提示词", "tooltip": "模型的文本输入，用于生成响应。" } }, "outputs": { "0": { "tooltip": null } } }, "OpenAIDalle2": { "description": "通过 OpenAI 的 DALL·E 2 接口同步生成图像。", "display_name": "OpenAI DALL·E 2", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "参考图像", "tooltip": "用于图像编辑的可选参考图像。" }, "mask": { "name": "掩码", "tooltip": "用于修复的可选掩码（白色区域将被替换）" }, "n": { "name": "数量", "tooltip": "生成的图像数量" }, "prompt": { "name": "提示词", "tooltip": "用于 DALL·E 的文本提示" }, "seed": { "name": "种子", "tooltip": "后端尚未实现" }, "size": { "name": "尺寸", "tooltip": "图像尺寸" } }, "outputs": { "0": { "tooltip": null } } }, "OpenAIDalle3": { "description": "通过 OpenAI 的 DALL·E 3 接口同步生成图像。", "display_name": "OpenAI DALL·E 3", "inputs": { "control_after_generate": { "name": "生成后控制" }, "prompt": { "name": "提示词", "tooltip": "DALL·E 的文本提示" }, "quality": { "name": "质量", "tooltip": "图像质量" }, "seed": { "name": "种子", "tooltip": "后端尚未实现" }, "size": { "name": "尺寸", "tooltip": "图像尺寸" }, "style": { "name": "风格", "tooltip": "“生动”会让模型倾向于生成超现实和戏剧性的图像。“自然”会让模型生成更自然、较少超现实感的图像。" } }, "outputs": { "0": { "tooltip": null } } }, "OpenAIGPTImage1": { "description": "通过 OpenAI 的 GPT Image 1 端点同步生成图像。", "display_name": "OpenAI GPT Image 1", "inputs": { "background": { "name": "背景", "tooltip": "返回带有或不带背景的图像" }, "control_after_generate": { "name": "生成后控制" }, "image": { "name": "参考图像", "tooltip": "用于图像编辑的可选参考图像。" }, "mask": { "name": "遮罩", "tooltip": "用于修复的可选 mask（白色区域将被替换）" }, "model": { "name": "模型" }, "n": { "name": "数量", "tooltip": "生成多少张图像" }, "prompt": { "name": "提示词", "tooltip": "用于 GPT Image 1 的文本提示" }, "quality": { "name": "质量", "tooltip": "图像质量，影响成本和生成时间。" }, "seed": { "name": "种子", "tooltip": "后端尚未实现" }, "size": { "name": "尺寸", "tooltip": "图像尺寸" } }, "outputs": { "0": { "tooltip": null } } }, "OpenAIInputFiles": { "description": "加载并准备输入文件（文本、PDF等）作为OpenAI聊天节点的输入。生成响应时，OpenAI模型将读取这些文件。🛈 提示：可与其他OpenAI输入文件节点链式连接。", "display_name": "OpenAI ChatGPT Input Files", "inputs": { "OPENAI_INPUT_FILES": { "name": "OpenAI输入文件", "tooltip": "可选的附加文件，与此节点加载的文件一起批处理。允许链式连接输入文件，以便单个消息可包含多个输入文件。" }, "file": { "name": "文件", "tooltip": "作为模型上下文的输入文件。目前仅接受文本(.txt)和PDF(.pdf)文件。" } }, "outputs": { "0": { "tooltip": null } } }, "OpenAIVideoSora2": { "description": "OpenAI视频和音频生成。", "display_name": "OpenAI Sora - Video", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "image": { "name": "图像" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "引导文本；如果存在输入图像，可为空。" }, "seed": { "name": "随机种", "tooltip": "确定节点是否应重新运行的种子；无论种子如何，实际结果都是非确定性的。" }, "size": { "name": "尺寸" } }, "outputs": { "0": { "tooltip": null } } }, "OptimalStepsScheduler": { "display_name": "OptimalSteps调度器", "inputs": { "denoise": { "name": "去噪" }, "model_type": { "name": "模型" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "PairConditioningCombine": { "display_name": "条件对合并", "inputs": { "negative_A": { "name": "负面条件_A" }, "negative_B": { "name": "负面条件_B" }, "positive_A": { "name": "正面条件_A" }, "positive_B": { "name": "正面条件_B" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" } } }, "PairConditioningSetDefaultCombine": { "display_name": "条件对设置默认合并", "inputs": { "hooks": { "name": "约束" }, "negative": { "name": "负面条件" }, "negative_DEFAULT": { "name": "默认负面条件" }, "positive": { "name": "正面条件" }, "positive_DEFAULT": { "name": "默认正面条件" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" } } }, "PairConditioningSetProperties": { "display_name": "条件对设置属性", "inputs": { "hooks": { "name": "约束" }, "mask": { "name": "遮罩" }, "negative_NEW": { "name": "新负面条件" }, "positive_NEW": { "name": "新正面条件" }, "set_cond_area": { "name": "设置条件区域" }, "strength": { "name": "强度" }, "timesteps": { "name": "间隔" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" } } }, "PairConditioningSetPropertiesAndCombine": { "display_name": "条件对设置属性合并", "inputs": { "hooks": { "name": "约束" }, "mask": { "name": "遮罩" }, "negative": { "name": "负面条件" }, "negative_NEW": { "name": "新负面条件" }, "positive": { "name": "正面条件" }, "positive_NEW": { "name": "新正面条件" }, "set_cond_area": { "name": "设置条件区域" }, "strength": { "name": "强度" }, "timesteps": { "name": "间隔" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" } } }, "PatchModelAddDownscale": { "display_name": "收缩模型UNET（Kohya Deep Shrink）", "inputs": { "block_number": { "name": "层编号" }, "downscale_after_skip": { "name": "跳过后收缩" }, "downscale_factor": { "name": "收缩系数" }, "downscale_method": { "name": "收缩算法" }, "end_percent": { "name": "结束百分比" }, "model": { "name": "模型" }, "start_percent": { "name": "开始百分比" }, "upscale_method": { "name": "放大方法" } }, "outputs": { "0": { "tooltip": null } } }, "PerpNeg": { "display_name": "Perp-Neg（已弃用，使用PerpNegGuider）", "inputs": { "empty_conditioning": { "name": "空条件" }, "model": { "name": "模型" }, "neg_scale": { "name": "负面缩放" } }, "outputs": { "0": { "tooltip": null } } }, "PerpNegGuider": { "display_name": "PerpNeg引导器", "inputs": { "cfg": { "name": "cfg" }, "empty_conditioning": { "name": "空条件" }, "model": { "name": "模型" }, "neg_scale": { "name": "负面缩放" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" } }, "outputs": { "0": { "tooltip": null } } }, "PerturbedAttentionGuidance": { "display_name": "PAG注意力引导", "inputs": { "model": { "name": "模型" }, "scale": { "name": "规模" } }, "outputs": { "0": { "tooltip": null } } }, "PhotoMakerEncode": { "display_name": "PhotoMaker编码", "inputs": { "clip": { "name": "clip" }, "image": { "name": "图像" }, "photomaker": { "name": "photomaker" }, "text": { "name": "文本" } }, "outputs": { "0": { "tooltip": null } } }, "PhotoMakerLoader": { "display_name": "PhotoMaker加载器", "inputs": { "photomaker_model_name": { "name": "photomaker模型名称" } }, "outputs": { "0": { "tooltip": null } } }, "PixverseImageToVideoNode": { "description": "根据提示词和输出尺寸同步生成视频。", "display_name": "PixVerse 图像转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration_seconds": { "name": "时长（秒）" }, "image": { "name": "图像" }, "motion_mode": { "name": "运动模式" }, "negative_prompt": { "name": "反向提示词", "tooltip": "可选的文本描述，用于指定图像中不希望出现的元素。" }, "pixverse_template": { "name": "PixVerse 模板", "tooltip": "可选模板，由 PixVerse Template 节点创建，用于影响生成风格。" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的提示词" }, "quality": { "name": "质量" }, "seed": { "name": "种子", "tooltip": "用于视频生成的种子。" } }, "outputs": { "0": { "tooltip": null } } }, "PixverseTemplateNode": { "display_name": "PixVerse 模板", "inputs": { "template": { "name": "模板" } }, "outputs": { "0": { "name": "Pixverse模板", "tooltip": null } } }, "PixverseTextToVideoNode": { "description": "根据提示词和输出尺寸同步生成视频。", "display_name": "PixVerse 文本转视频", "inputs": { "aspect_ratio": { "name": "宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration_seconds": { "name": "时长（秒）" }, "motion_mode": { "name": "运动模式" }, "negative_prompt": { "name": "反向提示词", "tooltip": "用于描述图像中不希望出现元素的可选文本。" }, "pixverse_template": { "name": "PixVerse 模板", "tooltip": "可选模板，用于影响生成风格，由 PixVerse Template 节点创建。" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的提示词" }, "quality": { "name": "质量" }, "seed": { "name": "种子", "tooltip": "用于视频生成的种子。" } }, "outputs": { "0": { "tooltip": null } } }, "PixverseTransitionVideoNode": { "description": "根据提示词和输出尺寸同步生成视频。", "display_name": "PixVerse 转场视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration_seconds": { "name": "时长（秒）" }, "first_frame": { "name": "首帧" }, "last_frame": { "name": "末帧" }, "motion_mode": { "name": "运动模式" }, "negative_prompt": { "name": "反向提示词", "tooltip": "用于描述图像中不希望出现元素的可选文本。" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的提示词" }, "quality": { "name": "质量" }, "seed": { "name": "种子", "tooltip": "用于视频生成的种子。" } }, "outputs": { "0": { "tooltip": null } } }, "PolyexponentialScheduler": { "display_name": "Polyexponential调度器", "inputs": { "rho": { "name": "rho" }, "sigma_max": { "name": "sigma最大值" }, "sigma_min": { "name": "sigma最小值" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "PorterDuffImageComposite": { "display_name": "Porter-Duff图像合成", "inputs": { "destination": { "name": "目标图像" }, "destination_alpha": { "name": "目标图像alpha" }, "mode": { "name": "模式" }, "source": { "name": "来源图像" }, "source_alpha": { "name": "来源图像alpha" } }, "outputs": { "0": { "tooltip": null }, "1": { "tooltip": null } } }, "Preview3D": { "display_name": "预览3D", "inputs": { "bg_image": { "name": "背景图像" }, "camera_info": { "name": "相机信息" }, "image": { "name": "图像" }, "model_file": { "name": "模型文件", "tooltip": "3D模型文件或路径字符串" } } }, "PreviewAny": { "display_name": "预览任意", "inputs": { "previewMode": {}, "preview_markdown": { "name": "预览" }, "preview_text": { "name": "预览" }, "source": { "name": "源" } } }, "PreviewAudio": { "display_name": "预览音频", "inputs": { "audio": { "name": "音频" }, "audioUI": { "name": "音频UI" } } }, "PreviewImage": { "description": "将输入图像保存到您的ComfyUI临时目录。", "display_name": "预览图像", "inputs": { "images": { "name": "图像" } } }, "PrimitiveBoolean": { "display_name": "布尔值", "inputs": { "value": { "name": "值" } }, "outputs": { "0": { "tooltip": null } } }, "PrimitiveFloat": { "display_name": "浮点数", "inputs": { "value": { "name": "值" } }, "outputs": { "0": { "tooltip": null } } }, "PrimitiveInt": { "display_name": "整数", "inputs": { "control_after_generate": { "name": "生成后控制" }, "value": { "name": "数值" } }, "outputs": { "0": { "tooltip": null } } }, "PrimitiveString": { "display_name": "字符串", "inputs": { "value": { "name": "值" } }, "outputs": { "0": { "tooltip": null } } }, "PrimitiveStringMultiline": { "display_name": "字符串（多行）", "inputs": { "value": { "name": "值" } }, "outputs": { "0": { "tooltip": null } } }, "QuadrupleCLIPLoader": { "description": "[配方]\n\nhidream: long clip-l, long clip-g, t5xxl, llama_8b_3.1_instruct", "display_name": "四重CLIP加载器", "inputs": { "clip_name1": { "name": "clip_name1" }, "clip_name2": { "name": "clip_name2" }, "clip_name3": { "name": "clip_name3" }, "clip_name4": { "name": "clip_name4" } }, "outputs": { "0": { "tooltip": null } } }, "QwenImageDiffsynthControlnet": { "display_name": "QwenImageDiffsynthControlnet", "inputs": { "image": { "name": "图像" }, "mask": { "name": "遮罩" }, "model": { "name": "模型" }, "model_patch": { "name": "模型补丁" }, "strength": { "name": "强度" }, "vae": { "name": "vae" } } }, "RandomCropImages": { "display_name": "裁剪图像（随机）", "inputs": { "control_after_generate": { "name": "生成后控制" }, "height": { "name": "高度", "tooltip": "裁剪框高度" }, "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "seed": { "name": "随机种", "tooltip": "随机种" }, "width": { "name": "宽度", "tooltip": "裁剪框宽度" } }, "outputs": { "0": { "name": "图像", "tooltip": "已处理的图像" } } }, "RandomNoise": { "display_name": "随机噪波", "inputs": { "control_after_generate": { "name": "生成后控制" }, "noise_seed": { "name": "噪波随机种" } }, "outputs": { "0": { "tooltip": null } } }, "RebatchImages": { "display_name": "重设图像批次", "inputs": { "batch_size": { "name": "批量大小" }, "images": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "RebatchLatents": { "display_name": "重设Latent批次", "inputs": { "batch_size": { "name": "批量大小" }, "latents": { "name": "Latent因素" } }, "outputs": { "0": { "tooltip": null } } }, "RecordAudio": { "display_name": "录制音频", "inputs": { "audio": { "name": "音频" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftColorRGB": { "description": "通过选择特定的 RGB 值来创建 Recraft 颜色。", "display_name": "Recraft 颜色 RGB", "inputs": { "b": { "name": "b", "tooltip": "颜色的蓝色值。" }, "g": { "name": "g", "tooltip": "颜色的绿色值。" }, "r": { "name": "r", "tooltip": "颜色的红色值。" }, "recraft_color": { "name": "Recraft色彩" } }, "outputs": { "0": { "name": "Recraft色彩", "tooltip": null } } }, "RecraftControls": { "description": "创建 Recraft 控件以自定义 Recraft 生成。", "display_name": "Recraft 控件", "inputs": { "background_color": { "name": "背景色" }, "colors": { "name": "色彩" } }, "outputs": { "0": { "name": "Recraft控制", "tooltip": null } } }, "RecraftCreateStyleNode": { "description": "从参考图像创建自定义风格。上传1-5张图片作为风格参考。所有图片的总大小限制为5MB。", "display_name": "Recraft创建风格", "inputs": { "images": { "name": "图片" }, "style": { "name": "风格", "tooltip": "生成图像的基础风格。" } }, "outputs": { "0": { "name": "风格ID", "tooltip": null } } }, "RecraftCreativeUpscaleNode": { "description": "同步放大图像。\n使用“创意放大”工具增强给定的光栅图像，提升分辨率，重点优化细节和人脸。", "display_name": "Recraft 创意放大图像", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftCrispUpscaleNode": { "description": "同步放大图像。\n使用“清晰放大”工具增强给定的光栅图像，提高图像分辨率，使图像更加锐利和干净。", "display_name": "Recraft 清晰放大图像", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftImageInpaintingNode": { "description": "根据提示词和 mask 修改图像。", "display_name": "Recraft 图像修复", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "mask": { "name": "遮罩" }, "n": { "name": "数量", "tooltip": "要生成的图像数量。" }, "negative_prompt": { "name": "反向提示词", "tooltip": "对图像中不希望出现元素的可选文本描述。" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词。" }, "recraft_style": { "name": "Recraft风格" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftImageToImageNode": { "description": "根据提示词和强度修改图像。", "display_name": "Recraft 图像到图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "n": { "name": "数量", "tooltip": "要生成的图像数量。" }, "negative_prompt": { "name": "反向提示词", "tooltip": "可选的文本描述，用于指定图像中不希望出现的元素。" }, "prompt": { "name": "提示词", "tooltip": "用于生成图像的提示词。" }, "recraft_controls": { "name": "Recraft控制", "tooltip": "通过 Recraft Controls 节点对生成过程进行可选的附加控制。" }, "recraft_style": { "name": "Recraft风格" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" }, "strength": { "name": "强度", "tooltip": "定义与原始图像的差异，范围为[0, 1]，0表示几乎相同，1表示极大不同。" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftRemoveBackgroundNode": { "description": "从图像中移除背景，返回处理后的图像和 mask。", "display_name": "Recraft 移除背景", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null }, "1": { "tooltip": null } } }, "RecraftReplaceBackgroundNode": { "description": "根据提供的提示词替换图像背景。", "display_name": "Recraft 更换背景", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "n": { "name": "数量", "tooltip": "要生成的图像数量。" }, "negative_prompt": { "name": "反向提示词", "tooltip": "对图像中不希望出现元素的可选文本描述。" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词。" }, "recraft_style": { "name": "recraft 风格" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftStyleV3DigitalIllustration": { "description": "选择 realistic_image 风格和可选的子风格。", "display_name": "Recraft 风格 - 数字插画", "inputs": { "substyle": { "name": "子风格" } }, "outputs": { "0": { "name": "Recraft风格", "tooltip": null } } }, "RecraftStyleV3InfiniteStyleLibrary": { "description": "根据 Recraft 的无限风格库中已有的 UUID 选择风格。", "display_name": "Recraft 风格 - 无限风格库", "inputs": { "style_id": { "name": "风格ID", "tooltip": "来自无限风格库的风格 UUID。" } }, "outputs": { "0": { "name": "Recraft风格", "tooltip": null } } }, "RecraftStyleV3LogoRaster": { "description": "选择 realistic_image 风格和可选的子风格。", "display_name": "Recraft 风格 - 标志光栅图", "inputs": { "substyle": { "name": "子风格" } }, "outputs": { "0": { "name": "Recraft风格", "tooltip": null } } }, "RecraftStyleV3RealisticImage": { "description": "选择 realistic_image 风格和可选的子风格。", "display_name": "Recraft 风格 - 真实图像", "inputs": { "substyle": { "name": "子风格" } }, "outputs": { "0": { "name": "Recraft风格", "tooltip": null } } }, "RecraftTextToImageNode": { "description": "根据提示词和分辨率同步生成图像。", "display_name": "Recraft 文本转图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "n": { "name": "n", "tooltip": "要生成的图像数量。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "对图像中不希望出现元素的可选文本描述。" }, "prompt": { "name": "提示词", "tooltip": "用于图像生成的提示词。" }, "recraft_controls": { "name": "Recraft控制", "tooltip": "通过 Recraft Controls 节点对生成过程的可选附加控制。" }, "recraft_style": { "name": "Recraft风格" }, "seed": { "name": "随机种", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" }, "size": { "name": "尺寸", "tooltip": "生成图像的尺寸。" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftTextToVectorNode": { "description": "根据提示词和分辨率同步生成 SVG。", "display_name": "Recraft 文本转矢量", "inputs": { "control_after_generate": { "name": "生成后控制" }, "n": { "name": "数量", "tooltip": "要生成的图像数量。" }, "negative_prompt": { "name": "反向提示词", "tooltip": "对图像中不希望出现元素的可选文本描述。" }, "prompt": { "name": "提示词", "tooltip": "用于生成图像的提示词。" }, "recraft_controls": { "name": "Recraft 控制", "tooltip": "通过 Recraft Controls 节点对生成过程的可选附加控制。" }, "seed": { "name": "种子", "tooltip": "用于决定节点是否重新运行的种子；无论种子如何，实际结果都是非确定性的。" }, "size": { "name": "尺寸", "tooltip": "生成图像的尺寸。" }, "substyle": { "name": "子风格" } }, "outputs": { "0": { "tooltip": null } } }, "RecraftVectorizeImageNode": { "description": "从输入图像同步生成 SVG。", "display_name": "Recraft 矢量化图像", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "ReferenceLatent": { "description": "此节点为编辑模型设置引导潜在空间。如果模型支持，您可以链式连接多个以设置多个参考图像。", "display_name": "参考Latent", "inputs": { "conditioning": { "name": "条件" }, "latent": { "name": "Latent" } }, "outputs": { "0": { "tooltip": null } } }, "ReferenceTimbreAudio": { "description": "此节点设置音色参考音频（用于 ace step 1.5）", "display_name": "ReferenceTimbreAudio", "inputs": { "conditioning": { "name": "条件" }, "latent": { "name": "潜空间" } }, "outputs": { "0": { "tooltip": null } } }, "RegexExtract": { "display_name": "正则表达式提取", "inputs": { "case_insensitive": { "name": "忽略大小写" }, "dotall": { "name": "点号匹配所有" }, "group_index": { "name": "分组索引" }, "mode": { "name": "模式" }, "multiline": { "name": "多行模式" }, "regex_pattern": { "name": "正则表达式模式" }, "string": { "name": "字符串" } }, "outputs": { "0": { "tooltip": null } } }, "RegexMatch": { "display_name": "正则表达式匹配", "inputs": { "case_insensitive": { "name": "忽略大小写" }, "dotall": { "name": "点号匹配所有" }, "multiline": { "name": "多行模式" }, "regex_pattern": { "name": "正则表达式模式" }, "string": { "name": "字符串" } }, "outputs": { "0": { "name": "匹配结果", "tooltip": null } } }, "RegexReplace": { "description": "使用正则表达式模式查找和替换文本。", "display_name": "正则表达式替换", "inputs": { "case_insensitive": { "name": "忽略大小写" }, "count": { "name": "计数", "tooltip": "最大替换次数。设置为0可替换所有匹配项（默认）。设置为1仅替换第一个匹配项，2替换前两个匹配项，依此类推。" }, "dotall": { "name": "点号匹配所有", "tooltip": "启用时，点号（.）字符将匹配包括换行符在内的任何字符。禁用时，点号不会匹配换行符。" }, "multiline": { "name": "多行模式" }, "regex_pattern": { "name": "正则表达式模式" }, "replace": { "name": "替换内容" }, "string": { "name": "字符串" } }, "outputs": { "0": { "tooltip": null } } }, "RenormCFG": { "display_name": "RenormCFG", "inputs": { "cfg_trunc": { "name": "cfg_trunc" }, "model": { "name": "模型" }, "renorm_cfg": { "name": "renorm_cfg" } }, "outputs": { "0": { "tooltip": null } } }, "RepeatImageBatch": { "display_name": "复制图像批次", "inputs": { "amount": { "name": "数量" }, "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "RepeatLatentBatch": { "display_name": "复制Latent批次", "inputs": { "amount": { "name": "数量" }, "samples": { "name": "Latent" } } }, "ReplaceText": { "display_name": "替换文本", "inputs": { "find": { "name": "搜索", "tooltip": "需要被替换的文本" }, "replace": { "name": "替换", "tooltip": "用于替换的文本" }, "texts": { "name": "文本", "tooltip": "需要处理的文本" } }, "outputs": { "0": { "name": "文本", "tooltip": "已处理的文本" } } }, "ReplaceVideoLatentFrames": { "display_name": "替换视频Latent", "inputs": { "destination": { "name": "目标Latent", "tooltip": "需要被替换的 Latent" }, "index": { "name": "序号", "tooltip": "选择需要被替换的 Latent 的序号，负值表示从后往前数。" }, "source": { "name": "来源Latent", "tooltip": "用于替换的 Latent，如果没有则不会替换。" } }, "outputs": { "0": { "tooltip": null } } }, "RescaleCFG": { "display_name": "缩放CFG", "inputs": { "model": { "name": "模型" }, "multiplier": { "name": "乘数" } } }, "ResizeAndPadImage": { "display_name": "调整尺寸并填充图像", "inputs": { "image": { "name": "图像" }, "interpolation": { "name": "插值方法" }, "padding_color": { "name": "填充颜色" }, "target_height": { "name": "目标高度" }, "target_width": { "name": "目标宽度" } }, "outputs": { "0": { "tooltip": null } } }, "ResizeImageMaskNode": { "description": "使用多种缩放方法调整图像或 mask 的大小。", "display_name": "调整图像/掩码大小", "inputs": { "input": { "name": "输入" }, "resize_type": { "name": "调整类型", "tooltip": "选择如何调整大小：按精确尺寸、缩放因子、匹配另一张图像等。" }, "resize_type_crop": { "name": "裁剪" }, "resize_type_height": { "name": "高度" }, "resize_type_width": { "name": "宽度" }, "scale_method": { "name": "缩放方法", "tooltip": "插值算法。'area' 适合缩小，'lanczos' 适合放大，'nearest-exact' 适合像素艺术。" } }, "outputs": { "0": { "name": "已调整大小", "tooltip": null } } }, "ResizeImagesByLongerEdge": { "display_name": "缩放图像（长边）", "inputs": { "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "longer_edge": { "name": "长边", "tooltip": "长边目标长度。" } }, "outputs": { "0": { "name": "图像", "tooltip": "已处理的图像" } } }, "ResizeImagesByShorterEdge": { "display_name": "Resize Images by Shorter Edge", "inputs": { "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "shorter_edge": { "name": "短边", "tooltip": "短边目标长度。" } }, "outputs": { "0": { "name": "图像", "tooltip": "已处理的图像" } } }, "ResolutionBucket": { "display_name": "分辨率 Bucket", "inputs": { "conditioning": { "name": "条件", "tooltip": "条件序列（必须和 Latent 序列数量相同）" }, "latents": { "name": "Latent", "tooltip": "需要 bucket 的 Latent 字典序列" } }, "outputs": { "0": { "name": "Latent", "tooltip": "Latent 字典，按分辨率分批。" }, "1": { "name": "条件", "tooltip": "条件字典，按分辨率分批。" } } }, "Rodin3D_Detail": { "description": "使用Rodin API生成3D资源", "display_name": "Rodin 3D生成 - 细节生成", "inputs": { "Images": { "name": "图像" }, "Material_Type": { "name": "材质类型" }, "Polygon_count": { "name": "多边形数量" }, "Seed": { "name": "种子" } }, "outputs": [ null, { "name": "GLB", "tooltip": null } ] }, "Rodin3D_Gen2": { "description": "使用Rodin API生成3D资源", "display_name": "Rodin 3D生成 - Gen-2生成", "inputs": { "Images": { "name": "图像" }, "Material_Type": { "name": "材质类型" }, "Polygon_count": { "name": "多边形数量" }, "Seed": { "name": "种子" }, "TAPose": { "name": "TAPose" } }, "outputs": [ null, { "name": "GLB", "tooltip": null } ] }, "Rodin3D_Regular": { "description": "使用Rodin API生成3D资源", "display_name": "Rodin 3D生成 - 常规生成", "inputs": { "Images": { "name": "图像" }, "Material_Type": { "name": "材质类型" }, "Polygon_count": { "name": "多边形数量" }, "Seed": { "name": "种子" } }, "outputs": [ null, { "name": "GLB", "tooltip": null } ] }, "Rodin3D_Sketch": { "description": "使用Rodin API生成3D资源", "display_name": "Rodin 3D生成 - 草图生成", "inputs": { "Images": { "name": "图像" }, "Seed": { "name": "种子" } }, "outputs": [ null, { "name": "GLB", "tooltip": null } ] }, "Rodin3D_Smooth": { "description": "使用Rodin API生成3D资源", "display_name": "Rodin 3D生成 - 平滑生成", "inputs": { "Images": { "name": "图像" }, "Material_Type": { "name": "材质类型" }, "Polygon_count": { "name": "多边形数量" }, "Seed": { "name": "种子" } }, "outputs": [ null, { "name": "GLB", "tooltip": null } ] }, "RunwayFirstLastFrameNode": { "description": "上传首尾关键帧，草拟提示词，生成视频。对于更复杂的过渡（例如尾帧与首帧完全不同的情况），较长的10秒时长可能更有利，这能为生成过程提供更多时间在两个输入之间平滑过渡。开始前，请查看这些最佳实践以确保您的输入选择能为生成成功奠定基础：https://help.runwayml.com/hc/en-us/articles/34170748696595-Creating-with-Keyframes-on-Gen-3。", "display_name": "Runway首尾帧转视频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "end_frame": { "name": "结束帧", "tooltip": "用于视频的结束帧。仅支持gen3a_turbo。" }, "prompt": { "name": "提示词", "tooltip": "生成的文本提示词" }, "ratio": { "name": "比例" }, "seed": { "name": "种子", "tooltip": "生成的随机种子" }, "start_frame": { "name": "起始帧", "tooltip": "用于视频的起始帧" } }, "outputs": { "0": { "tooltip": null } } }, "RunwayImageToVideoNodeGen3a": { "description": "使用Gen3a Turbo模型从单个起始帧生成视频。开始前，请查看这些最佳实践以确保您的输入选择能为生成成功奠定基础：https://help.runwayml.com/hc/en-us/articles/33927968552339-Creating-with-Act-One-on-Gen-3-Alpha-and-Turbo。", "display_name": "Runway图像转视频（Gen3a Turbo）", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "prompt": { "name": "提示词", "tooltip": "生成的文本提示词" }, "ratio": { "name": "比例" }, "seed": { "name": "种子", "tooltip": "生成的随机种子" }, "start_frame": { "name": "起始帧", "tooltip": "用于视频的起始帧" } }, "outputs": { "0": { "tooltip": null } } }, "RunwayImageToVideoNodeGen4": { "description": "使用Gen4 Turbo模型从单个起始帧生成视频。开始前，请查看这些最佳实践以确保您的输入选择能为生成成功奠定基础：https://help.runwayml.com/hc/en-us/articles/37327109429011-Creating-with-Gen-4-Video。", "display_name": "Runway图像转视频（Gen4 Turbo）", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "prompt": { "name": "提示词", "tooltip": "生成的文本提示词" }, "ratio": { "name": "比例" }, "seed": { "name": "种子", "tooltip": "生成的随机种子" }, "start_frame": { "name": "起始帧", "tooltip": "用于视频的起始帧" } }, "outputs": { "0": { "tooltip": null } } }, "RunwayTextToImageNode": { "description": "使用 Runway 的 Gen 4 模型从文本提示生成图像。您还可以包含参考图像来引导生成过程。", "display_name": "Runway 文生图", "inputs": { "prompt": { "name": "提示词", "tooltip": "用于生成的文本提示" }, "ratio": { "name": "比例" }, "reference_image": { "name": "参考图像", "tooltip": "用于引导生成的可选参考图像" } }, "outputs": { "0": { "tooltip": null } } }, "SDTurboScheduler": { "display_name": "SDTurbo调度器", "inputs": { "denoise": { "name": "降噪" }, "model": { "name": "模型" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "SD_4XUpscale_Conditioning": { "display_name": "SD_4X放大条件", "inputs": { "images": { "name": "图片" }, "negative": { "name": "负面条件" }, "noise_augmentation": { "name": "噪波增强" }, "positive": { "name": "正面条件" }, "scale_ratio": { "name": "缩放比例" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "SV3D_Conditioning": { "display_name": "SV3D条件", "inputs": { "clip_vision": { "name": "clip视觉" }, "elevation": { "name": "俯仰角" }, "height": { "name": "高度" }, "init_image": { "name": "初始图像" }, "vae": { "name": "vae" }, "video_frames": { "name": "帧数" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "SVD_img2vid_Conditioning": { "display_name": "SVD_img2vid条件", "inputs": { "augmentation_level": { "name": "增强" }, "clip_vision": { "name": "clip视觉" }, "fps": { "name": "帧率" }, "height": { "name": "高度" }, "init_image": { "name": "初始图像" }, "motion_bucket_id": { "name": "动态bucketID" }, "vae": { "name": "vae" }, "video_frames": { "name": "帧数" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "SamplerCustom": { "display_name": "自定义采样器", "inputs": { "add_noise": { "name": "添加噪波" }, "cfg": { "name": "cfg" }, "control_after_generate": { "name": "生成后的控制" }, "latent_image": { "name": "Latent" }, "model": { "name": "模型" }, "negative": { "name": "负面条件" }, "noise_seed": { "name": "噪波种子" }, "positive": { "name": "正面条件" }, "sampler": { "name": "采样器" }, "sigmas": { "name": "Sigmas" } }, "outputs": { "0": { "name": "Latent", "tooltip": null }, "1": { "name": "降噪Latent", "tooltip": null } } }, "SamplerCustomAdvanced": { "display_name": "自定义采样器（高级）", "inputs": { "guider": { "name": "引导器" }, "latent_image": { "name": "Latent图像" }, "noise": { "name": "噪波" }, "sampler": { "name": "采样器" }, "sigmas": { "name": "西格玛" } }, "outputs": { "0": { "name": "Latent", "tooltip": null }, "1": { "name": "降噪Latent", "tooltip": null } } }, "SamplerDPMAdaptative": { "display_name": "DPMAdaptative采样器", "inputs": { "accept_safety": { "name": "accept_safety" }, "atol": { "name": "atol" }, "dcoeff": { "name": "dcoeff" }, "eta": { "name": "eta" }, "h_init": { "name": "h_init" }, "icoeff": { "name": "icoeff" }, "order": { "name": "order" }, "pcoeff": { "name": "pcoeff" }, "rtol": { "name": "rtol" }, "s_noise": { "name": "s_noise" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerDPMPP_2M_SDE": { "display_name": "DPMPP_2M_SDE采样器", "inputs": { "eta": { "name": "eta" }, "noise_device": { "name": "设备" }, "s_noise": { "name": "s_noise" }, "solver_type": { "name": "求解器类型" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerDPMPP_2S_Ancestral": { "display_name": "DPMPP_2S_Ancestral采样器", "inputs": { "eta": { "name": "eta" }, "s_noise": { "name": "s_noise" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerDPMPP_3M_SDE": { "display_name": "DPMPP_3M_SDE采样器", "inputs": { "eta": { "name": "eta" }, "noise_device": { "name": "设备" }, "s_noise": { "name": "s_noise" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerDPMPP_SDE": { "display_name": "DPMPP_SDE采样器", "inputs": { "eta": { "name": "eta" }, "noise_device": { "name": "设备" }, "r": { "name": "r" }, "s_noise": { "name": "s_noise" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerER_SDE": { "display_name": "ER_SDE采样器", "inputs": { "eta": { "name": "eta", "tooltip": "反向时间 SDE 的随机强度。\n当 eta=0 时，简化为确定性 ODE。此设置不适用于 ER-SDE 求解器类型。" }, "max_stage": { "name": "最大阶段" }, "s_noise": { "name": "s_noise" }, "solver_type": { "name": "求解器" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerEulerAncestral": { "display_name": "EulerAncestral采样器", "inputs": { "eta": { "name": "eta" }, "s_noise": { "name": "s噪波" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerEulerAncestralCFGPP": { "display_name": "EulerAncestralCFG++采样器", "inputs": { "eta": { "name": "eta" }, "s_noise": { "name": "s噪波" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerEulerCFGpp": { "display_name": "EuleCFG++采样器", "inputs": { "version": { "name": "版本" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerLCMUpscale": { "display_name": "LCM缩放采样器", "inputs": { "scale_ratio": { "name": "缩放比例" }, "scale_steps": { "name": "缩放步数" }, "upscale_method": { "name": "缩放方法" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerLMS": { "display_name": "LMS采样器", "inputs": { "order": { "name": "顺序" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerSASolver": { "display_name": "SASolver采样器", "inputs": { "corrector_order": { "name": "校正器阶数" }, "eta": { "name": "eta" }, "model": { "name": "模型" }, "predictor_order": { "name": "预测器阶数" }, "s_noise": { "name": "s_noise" }, "sde_end_percent": { "name": "SDE 结束百分比" }, "sde_start_percent": { "name": "SDE 起始百分比" }, "simple_order_2": { "name": "简单二阶" }, "use_pece": { "name": "使用 PECE" } }, "outputs": { "0": { "tooltip": null } } }, "SamplerSEEDS2": { "description": "该采样器节点可以表示多个采样器：\n\nseeds 2\n-默认设置\n\nexp_heun_2_x0\n- 求解器=phi 2, r=1.0, eta=0.0\n\nexp_heun_2_x0_sde\n- 求解器=phi 2, r=1.0, eta=1.0, s noise=1.0", "display_name": "SEEDS2采样器", "inputs": { "eta": { "name": "eta", "tooltip": "Stochastic strength" }, "r": { "name": "r", "tooltip": "Relative step size for the intermediate stage (c2 node)" }, "s_noise": { "name": "s_noise", "tooltip": "SDE noise multiplier" }, "solver_type": { "name": "求解器" } }, "outputs": { "0": { "tooltip": null } } }, "SamplingPercentToSigma": { "display_name": "采样比到Sigma", "inputs": { "model": { "name": "模型" }, "return_actual_sigma": { "name": "返回实际 sigma 值", "tooltip": "返回实际的 sigma 值而不是用于区间检查的值。\n这仅影响 0.0 和 1.0 处的结果。" }, "sampling_percent": { "name": "采样百分比" } }, "outputs": { "0": { "name": "sigma 值", "tooltip": null } } }, "SaveAnimatedPNG": { "display_name": "保存动画（APNG）", "inputs": { "compress_level": { "name": "压缩级别" }, "filename_prefix": { "name": "文件名前缀" }, "fps": { "name": "帧率" }, "images": { "name": "图片" } } }, "SaveAnimatedWEBP": { "display_name": "保存动画（WEBP）", "inputs": { "filename_prefix": { "name": "文件名前缀" }, "fps": { "name": "帧率" }, "images": { "name": "图片" }, "lossless": { "name": "无损" }, "method": { "name": "方法" }, "quality": { "name": "质量" } } }, "SaveAudio": { "display_name": "保存音频", "inputs": { "audio": { "name": "音频" }, "audioUI": { "name": "音频UI" }, "filename_prefix": { "name": "文件名前缀" } } }, "SaveAudioMP3": { "display_name": "保存音频 (MP3)", "inputs": { "audio": { "name": "音频" }, "audioUI": { "name": "audioUI" }, "filename_prefix": { "name": "文件名前缀" }, "quality": { "name": "质量" } } }, "SaveAudioOpus": { "display_name": "保存音频 (Opus)", "inputs": { "audio": { "name": "音频" }, "audioUI": { "name": "audioUI" }, "filename_prefix": { "name": "文件名前缀" }, "quality": { "name": "质量" } } }, "SaveGLB": { "display_name": "保存GLB", "inputs": { "filename_prefix": { "name": "文件名前缀" }, "image": { "name": "图像" }, "mesh": { "name": "网格", "tooltip": "要保存的网格或GLB文件" } } }, "SaveImage": { "description": "将输入图像保存到您的ComfyUI输出目录。", "display_name": "保存图像", "inputs": { "filename_prefix": { "name": "文件名前缀", "tooltip": "保存文件的文件名的前缀。可使用格式信息如 %date:yyyy-MM-dd% 或 %空Latent.width%，以包含来自工作流内的信息。" }, "images": { "name": "图片", "tooltip": "要保存的图像。" } } }, "SaveImageDataSetToFolder": { "display_name": "保存图像数据集", "inputs": { "filename_prefix": { "name": "文件名前缀", "tooltip": "保存的图像的文件名前缀。" }, "folder_name": { "name": "文件夹名", "tooltip": "保存训练数据集的文件夹名（在 输出 文件夹内）。" }, "images": { "name": "图像", "tooltip": "需要保存的图像序列。" } } }, "SaveImageTextDataSetToFolder": { "display_name": "保存图像文本数据集", "inputs": { "filename_prefix": { "name": "文件名前缀", "tooltip": "保存的图像的文件名前缀。" }, "folder_name": { "name": "文件夹名", "tooltip": "保存训练数据集的文件夹名（在 输出 文件夹内）。" }, "images": { "name": "图像", "tooltip": "需要保存的图像序列。" }, "texts": { "name": "文本", "tooltip": "需要保存的标注文本序列。" } } }, "SaveImageWebsocket": { "display_name": "保存图像（网络接口）", "inputs": { "images": { "name": "图片" } } }, "SaveLatent": { "display_name": "保存Latent", "inputs": { "filename_prefix": { "name": "文件名前缀" }, "samples": { "name": "Latent" } } }, "SaveLoRA": { "display_name": "保存 LoRA", "inputs": { "lora": { "name": "LoRA", "tooltip": "需要保存的 LoRA 模型。不要使用分层 LoRA。" }, "prefix": { "name": "前缀", "tooltip": "保存的 LoRA 文件的文件名前缀。" }, "steps": { "name": "步数", "tooltip": "可选：LoRA 的训练步数，用于保存文件命名。" } } }, "SaveSVGNode": { "description": "在磁盘上保存 SVG 文件。", "display_name": "保存SVG", "inputs": { "filename_prefix": { "name": "文件名前缀", "tooltip": "保存文件的前缀。可包含格式化信息，如 %date:yyyy-MM-dd% 或 %Empty Latent Image.width% 以包含节点中的值。" }, "svg": { "name": "svg" } } }, "SaveTrainingDataset": { "display_name": "保存训练数据集", "inputs": { "conditioning": { "name": "条件", "tooltip": "制作训练数据集 节点输出的条件字典" }, "folder_name": { "name": "文件夹名", "tooltip": "包含训练数据集的文件夹名（在 输出 文件夹内）。" }, "latents": { "name": "Latent", "tooltip": "制作训练数据集 节点输出的 Latent 字典" }, "shard_size": { "name": "shard_size", "tooltip": "Number of samples per shard file." } } }, "SaveVideo": { "description": "将输入图像保存到您的 ComfyUI 输出目录。", "display_name": "保存视频", "inputs": { "codec": { "name": "编码器", "tooltip": "用于视频的编码器。" }, "filename_prefix": { "name": "文件名前缀", "tooltip": "要保存文件的前缀。可以包含格式化信息，如 %date:yyyy-MM-dd% 或 %Empty Latent Image.width%，以包含来自节点的值。" }, "format": { "name": "格式", "tooltip": "保存视频的格式。" }, "video": { "name": "视频", "tooltip": "要保存的视频。" } } }, "SaveWEBM": { "display_name": "保存WEBM", "inputs": { "codec": { "name": "编解码器" }, "crf": { "name": "crf", "tooltip": "更高的crf意味着更低的质量和更小的文件大小，更低的crf意味着更高的质量和更大的文件大小。" }, "filename_prefix": { "name": "文件名前缀" }, "fps": { "name": "帧率" }, "images": { "name": "图像" } } }, "ScaleROPE": { "description": "缩放和偏移模型的ROPE。", "display_name": "缩放ROPE", "inputs": { "model": { "name": "模型" }, "scale_t": { "name": "scale_t" }, "scale_x": { "name": "scale_x" }, "scale_y": { "name": "scale_y" }, "shift_t": { "name": "shift_t" }, "shift_x": { "name": "shift_x" }, "shift_y": { "name": "shift_y" } }, "outputs": { "0": { "tooltip": null } } }, "SelfAttentionGuidance": { "display_name": "SAG自注意力引导", "inputs": { "blur_sigma": { "name": "模糊Sigma" }, "model": { "name": "模型" }, "scale": { "name": "缩放" } }, "outputs": { "0": { "tooltip": null } } }, "SetClipHooks": { "display_name": "设置CLIP约束", "inputs": { "apply_to_conds": { "name": "应用于条件" }, "clip": { "name": "clip" }, "hooks": { "name": "约束" }, "schedule_clip": { "name": "安排clip" } } }, "SetFirstSigma": { "display_name": "设置第一个Sigma", "inputs": { "sigma": { "name": "sigma" }, "sigmas": { "name": "sigmas" } }, "outputs": { "0": { "tooltip": null } } }, "SetHookKeyframes": { "display_name": "设置约束关键帧", "inputs": { "hook_kf": { "name": "约束关键帧" }, "hooks": { "name": "约束" } } }, "SetLatentNoiseMask": { "display_name": "设置Latent噪波遮罩", "inputs": { "mask": { "name": "遮罩" }, "samples": { "name": "Latent" } } }, "SetUnionControlNetType": { "display_name": "设置UnionControlNet类型", "inputs": { "control_net": { "name": "ControlNet" }, "type": { "name": "类型" } }, "outputs": { "0": { "tooltip": null } } }, "ShuffleDataset": { "display_name": "打乱图像数据集", "inputs": { "control_after_generate": { "name": "生成后控制" }, "images": { "name": "图像", "tooltip": "需要处理的图像序列。" }, "seed": { "name": "随机种", "tooltip": "随机种" } }, "outputs": { "0": { "name": "图像", "tooltip": "处理后的图像" } } }, "ShuffleImageTextDataset": { "display_name": "打乱图像文本数据集", "inputs": { "control_after_generate": { "name": "生成后控制" }, "images": { "name": "图像", "tooltip": "需要打乱的图像序列。" }, "seed": { "name": "随机种", "tooltip": "随机种" }, "texts": { "name": "文本", "tooltip": "需要打乱的文本序列" } }, "outputs": { "0": { "name": "图像", "tooltip": "打乱后的图像" }, "1": { "name": "文本", "tooltip": "打乱后的文本" } } }, "SkipLayerGuidanceDiT": { "description": "通用的跳过层引导节点，可用于每个DiT模型。", "display_name": "跳过层引导（DiT）", "inputs": { "double_layers": { "name": "双层" }, "end_percent": { "name": "结束百分比" }, "model": { "name": "模型" }, "rescaling_scale": { "name": "重新缩放比例" }, "scale": { "name": "缩放" }, "single_layers": { "name": "单层" }, "start_percent": { "name": "开始百分比" } }, "outputs": { "0": { "tooltip": null } } }, "SkipLayerGuidanceDiTSimple": { "description": "跳过层引导（DiT）节点的简化版本，仅修改无条件传递。", "display_name": "跳过层引导（DiT简化）", "inputs": { "double_layers": { "name": "双层" }, "end_percent": { "name": "结束百分比" }, "model": { "name": "模型" }, "single_layers": { "name": "单层" }, "start_percent": { "name": "开始百分比" } }, "outputs": { "0": { "tooltip": null } } }, "SkipLayerGuidanceSD3": { "description": "通用版本的跳过层引导节点，可用于每个DiT模型。", "display_name": "跳过层引导（SD3）", "inputs": { "end_percent": { "name": "结束百分比" }, "layers": { "name": "层" }, "model": { "name": "模型" }, "scale": { "name": "缩放" }, "start_percent": { "name": "开始百分比" } }, "outputs": { "0": { "tooltip": null } } }, "SolidMask": { "display_name": "纯块遮罩", "inputs": { "height": { "name": "高度" }, "value": { "name": "明度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "SplitAudioChannels": { "description": "将音频分离为左右声道。", "display_name": "分离音频通道", "inputs": { "audio": { "name": "音频" } }, "outputs": { "0": { "name": "左声道", "tooltip": null }, "1": { "name": "右声道", "tooltip": null } } }, "SplitImageWithAlpha": { "display_name": "分离图像Alpha", "inputs": { "image": { "name": "图片" } }, "outputs": { "0": { "tooltip": null }, "1": { "tooltip": null } } }, "SplitSigmas": { "display_name": "分离Sigma", "inputs": { "sigmas": { "name": "Sigmas" }, "step": { "name": "步数" } }, "outputs": { "0": { "name": "高方差", "tooltip": null }, "1": { "name": "低方差", "tooltip": null } } }, "SplitSigmasDenoise": { "display_name": "分离Sigma降噪", "inputs": { "denoise": { "name": "降噪" }, "sigmas": { "name": "Sigmas" } }, "outputs": { "0": { "name": "高方差", "tooltip": null }, "1": { "name": "低方差", "tooltip": null } } }, "StabilityAudioInpaint": { "description": "使用文本指令转换现有音频样本的部分内容。", "display_name": "Stability AI 音频重绘", "inputs": { "audio": { "name": "音频", "tooltip": "音频长度必须在6到190秒之间。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "控制生成音频的时长（秒）。" }, "mask_end": { "name": "结束遮罩" }, "mask_start": { "name": "开始遮罩" }, "model": { "name": "模型" }, "prompt": { "name": "提示词" }, "seed": { "name": "随机种", "tooltip": "用于生成的随机种子。" }, "steps": { "name": "步数", "tooltip": "控制采样步数。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityAudioToAudio": { "description": "使用文本指令将现有音频样本转换为新的高质量作品。", "display_name": "Stability AI 音频到音频", "inputs": { "audio": { "name": "音频", "tooltip": "音频长度必须在6到190秒之间。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "控制生成音频的时长（秒）。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词" }, "seed": { "name": "随机种", "tooltip": "用于生成的随机种子。" }, "steps": { "name": "步数", "tooltip": "控制采样步数。" }, "strength": { "name": "强度", "tooltip": "参数控制音频参数对生成音频的影响程度。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityStableImageSD_3_5Node": { "description": "根据提示词和分辨率同步生成图像。", "display_name": "Stability AI Stable Diffusion 3.5 图像", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "生成图像的宽高比。" }, "cfg_scale": { "name": "CFG", "tooltip": "扩散过程对提示词文本的遵循程度（数值越高，生成的图像越接近你的提示词）" }, "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "image_denoise": { "name": "图像降噪", "tooltip": "输入图像的去噪程度；0.0 表示与输入图像完全相同，1.0 表示完全不使用输入图像。" }, "model": { "name": "模型" }, "negative_prompt": { "name": "负面提示词", "tooltip": "你不希望在输出图像中出现的关键词。此为高级功能。" }, "prompt": { "name": "提示词", "tooltip": "你希望在输出图像中看到的内容。强有力且描述清晰的提示词，能够明确定义元素、颜色和主题，将带来更好的结果。" }, "seed": { "name": "随机种", "tooltip": "用于生成噪声的随机种子。" }, "style_preset": { "name": "风格预设", "tooltip": "可选，生成图像的期望风格。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityStableImageUltraNode": { "description": "根据提示词和分辨率同步生成图像。", "display_name": "Stability AI Stable 图像 Ultra", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "生成图像的宽高比。" }, "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像" }, "image_denoise": { "name": "降噪", "tooltip": "输入图像的去噪强度；0.0 表示与输入图像完全相同，1.0 表示完全不参考输入图像。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "描述你不希望在输出图像中出现内容的文本。这是一个高级功能。" }, "prompt": { "name": "提示词", "tooltip": "你希望在输出图像中看到的内容。一个强有力且描述清晰的提示词，能够明确界定元素、颜色和主题，将带来更好的结果。要控制某个词的权重，请使用格式 `(word:weight)`，其中 `word` 是你想要控制权重的词，`weight` 是介于 0 到 1 之间的数值。例如：`The sky was a crisp (blue:0.3) and (green:0.8)` 表示天空是蓝色和绿色，但绿色多于蓝色。" }, "seed": { "name": "随机种", "tooltip": "用于生成噪声的随机种子。" }, "style_preset": { "name": "风格预设", "tooltip": "可选的生成图像风格。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityTextToAudio": { "description": "根据文本描述生成高质量音乐和音效。", "display_name": "Stability AI 文本转音频", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "控制生成音频的时长（秒）。" }, "model": { "name": "模型" }, "prompt": { "name": "提示词" }, "seed": { "name": "种子", "tooltip": "用于生成的随机种子。" }, "steps": { "name": "步数", "tooltip": "控制采样步数。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityUpscaleConservativeNode": { "description": "以最小改动将图像放大至 4K 分辨率。", "display_name": "Stability AI 保守放大", "inputs": { "control_after_generate": { "name": "生成后控制" }, "creativity": { "name": "创造性", "tooltip": "控制生成与初始图像不强相关的额外细节的可能性。" }, "image": { "name": "图像" }, "negative_prompt": { "name": "反向提示词", "tooltip": "你不希望在输出图像中出现的关键词。此为高级功能。" }, "prompt": { "name": "提示词", "tooltip": "你希望在输出图像中看到什么。强有力且描述清晰的提示词，能更好地定义元素、颜色和主题，从而获得更佳效果。" }, "seed": { "name": "种子", "tooltip": "用于生成噪声的随机种子。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityUpscaleCreativeNode": { "description": "以最小改动将图像放大至4K分辨率。", "display_name": "Stability AI 创意放大", "inputs": { "control_after_generate": { "name": "生成后控制" }, "creativity": { "name": "创造性", "tooltip": "控制生成不受初始图像强烈约束的额外细节的可能性。" }, "image": { "name": "图像" }, "negative_prompt": { "name": "反向提示词", "tooltip": "你不希望在输出图像中出现的关键词。此为高级功能。" }, "prompt": { "name": "提示词", "tooltip": "你希望在输出图像中看到什么。强有力且描述清晰的提示词，明确元素、颜色和主题，将获得更好的结果。" }, "seed": { "name": "随机种子", "tooltip": "用于生成噪声的随机种子。" }, "style_preset": { "name": "风格预设", "tooltip": "可选，生成图像的期望风格。" } }, "outputs": { "0": { "tooltip": null } } }, "StabilityUpscaleFastNode": { "description": "通过 Stability API 快速将图像放大至原始尺寸的 4 倍；适用于低质量或压缩图像的放大。", "display_name": "Stability AI 极速放大", "inputs": { "image": { "name": "图像" } }, "outputs": { "0": { "tooltip": null } } }, "StableCascade_EmptyLatentImage": { "display_name": "空Latent图像（Stable Cascade）", "inputs": { "batch_size": { "name": "批量大小" }, "compression": { "name": "压缩" }, "height": { "name": "高度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "阶段C", "tooltip": null }, "1": { "name": "阶段B", "tooltip": null } } }, "StableCascade_StageB_Conditioning": { "display_name": "Stable Cascade_B阶段_条件", "inputs": { "conditioning": { "name": "条件" }, "stage_c": { "name": "阶段c" } }, "outputs": { "0": { "tooltip": null } } }, "StableCascade_StageC_VAEEncode": { "display_name": "Stable Cascade_C阶段_VAE编码", "inputs": { "compression": { "name": "压缩" }, "image": { "name": "图像" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "阶段C", "tooltip": null }, "1": { "name": "阶段B", "tooltip": null } } }, "StableCascade_SuperResolutionControlnet": { "display_name": "Stable Cascade_超分辨率ControlNet", "inputs": { "image": { "name": "图像" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "ControlNet", "tooltip": null }, "1": { "name": "阶段C", "tooltip": null }, "2": { "name": "阶段B", "tooltip": null } } }, "StableZero123_Conditioning": { "display_name": "StableZero123条件", "inputs": { "azimuth": { "name": "方位角" }, "batch_size": { "name": "批量大小" }, "clip_vision": { "name": "clip视觉" }, "elevation": { "name": "俯仰角" }, "height": { "name": "高度" }, "init_image": { "name": "初始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "StableZero123_Conditioning_Batched": { "display_name": "StableZero123条件_批处理", "inputs": { "azimuth": { "name": "方位角" }, "azimuth_batch_increment": { "name": "方位角增量" }, "batch_size": { "name": "批量大小" }, "clip_vision": { "name": "clip视觉" }, "elevation": { "name": "俯仰角" }, "elevation_batch_increment": { "name": "俯仰角增量" }, "height": { "name": "高度" }, "init_image": { "name": "初始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "StringCompare": { "display_name": "比较", "inputs": { "case_sensitive": { "name": "区分大小写" }, "mode": { "name": "模式" }, "string_a": { "name": "字符串A" }, "string_b": { "name": "字符串B" } }, "outputs": { "0": { "tooltip": null } } }, "StringConcatenate": { "display_name": "连接", "inputs": { "delimiter": { "name": "分隔符" }, "string_a": { "name": "字符串A" }, "string_b": { "name": "字符串B" } }, "outputs": { "0": { "tooltip": null } } }, "StringContains": { "display_name": "包含", "inputs": { "case_sensitive": { "name": "区分大小写" }, "string": { "name": "字符串" }, "substring": { "name": "子字符串" } }, "outputs": { "0": { "name": "包含", "tooltip": null } } }, "StringLength": { "display_name": "长度", "inputs": { "string": { "name": "字符串" } }, "outputs": { "0": { "name": "长度", "tooltip": null } } }, "StringReplace": { "display_name": "替换", "inputs": { "find": { "name": "查找" }, "replace": { "name": "替换" }, "string": { "name": "字符串" } }, "outputs": { "0": { "tooltip": null } } }, "StringSubstring": { "display_name": "子字符串", "inputs": { "end": { "name": "结束" }, "start": { "name": "起始" }, "string": { "name": "字符串" } }, "outputs": { "0": { "tooltip": null } } }, "StringTrim": { "display_name": "修剪", "inputs": { "mode": { "name": "模式" }, "string": { "name": "字符串" } }, "outputs": { "0": { "tooltip": null } } }, "StripWhitespace": { "display_name": "清理空字符", "inputs": { "texts": { "name": "文本", "tooltip": "需要处理的文本" } }, "outputs": { "0": { "name": "文本", "tooltip": "已处理的文本" } } }, "StyleModelApply": { "display_name": "应用风格模型", "inputs": { "clip_vision_output": { "name": "clip视觉输出" }, "conditioning": { "name": "条件" }, "strength": { "name": "强度" }, "strength_type": { "name": "强度类型" }, "style_model": { "name": "风格模型" } } }, "StyleModelLoader": { "display_name": "加载风格模型", "inputs": { "style_model_name": { "name": "风格模型名称" } } }, "T5TokenizerOptions": { "display_name": "T5Tokenizer设置", "inputs": { "clip": { "name": "clip" }, "min_length": { "name": "最小长度" }, "min_padding": { "name": "最小填充" } }, "outputs": { "0": { "tooltip": null } } }, "TCFG": { "description": "TCFG – 切向阻尼CFG (2503.18137)\n\n优化无条件（负向）以与有条件（正向）对齐，从而提高质量。", "display_name": "切向阻尼CFG", "inputs": { "model": { "name": "模型" } }, "outputs": { "0": { "name": "模型", "tooltip": null } } }, "TemporalScoreRescaling": { "description": "[后CFG函数]\nTSR - 时序分数重缩放 (2510.01184)\n\n重缩放模型的分数或噪声以引导采样多样性。", "display_name": "TSR - 时序分数重缩放", "inputs": { "model": { "name": "模型" }, "tsr_k": { "name": "TSR_K", "tooltip": "控制重缩放强度。\n较低的 k 值会产生更详细的结果；较高的 k 值在图像生成中会产生更平滑的结果。设置 k = 1 将禁用重缩放。" }, "tsr_sigma": { "name": "tsr_sigma", "tooltip": "控制重缩放何时生效。\n数值越大生效越早。" } }, "outputs": { "0": { "name": "模型", "tooltip": null } } }, "Tencent3DPartNode": { "description": "根据模型结构自动进行组件识别与生成。", "display_name": "Hunyuan3D：3D部件", "inputs": { "control_after_generate": { "name": "生成后控制" }, "model_3d": { "name": "model_3d", "tooltip": "FBX格式的3D模型。模型面数应少于30000。" }, "seed": { "name": "seed", "tooltip": "Seed用于控制节点是否重新运行；无论seed如何，结果都是非确定性的。" } }, "outputs": { "0": { "name": "FBX", "tooltip": null } } }, "TencentImageToModelNode": { "display_name": "Hunyuan3D：图像转模型（专业版）", "inputs": { "control_after_generate": { "name": "生成后控制" }, "face_count": { "name": "面数" }, "generate_type": { "name": "生成类型" }, "generate_type_pbr": { "name": "PBR" }, "image": { "name": "图像" }, "image_back": { "name": "背面图像" }, "image_left": { "name": "左侧图像" }, "image_right": { "name": "右侧图像" }, "model": { "name": "模型", "tooltip": "LowPoly 选项在 `3.1` 模型中不可用。" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" } }, "outputs": [ null, { "name": "GLB", "tooltip": null }, { "name": "OBJ", "tooltip": null } ] }, "TencentTextToModelNode": { "display_name": "Hunyuan3D：文本转模型（专业版）", "inputs": { "control_after_generate": { "name": "生成后控制" }, "face_count": { "name": "面数" }, "generate_type": { "name": "生成类型" }, "generate_type_pbr": { "name": "PBR" }, "model": { "name": "模型", "tooltip": "LowPoly 选项在 `3.1` 模型中不可用。" }, "prompt": { "name": "提示词", "tooltip": "支持最多 1024 个字符。" }, "seed": { "name": "种子", "tooltip": "种子控制节点是否重新运行；无论种子如何，结果都是非确定性的。" } }, "outputs": [ null, { "name": "GLB", "tooltip": null }, { "name": "OBJ", "tooltip": null } ] }, "TextEncodeAceStepAudio": { "display_name": "文本音频编码（AceStep）", "inputs": { "clip": { "name": "clip" }, "lyrics": { "name": "歌词" }, "lyrics_strength": { "name": "歌词强度" }, "tags": { "name": "标签" } }, "outputs": { "0": { "tooltip": null } } }, "TextEncodeAceStepAudio1_5": { "display_name": "TextEncodeAceStepAudio1.5", "inputs": { "bpm": { "name": "每分钟节拍数" }, "cfg_scale": { "name": "cfg_scale" }, "clip": { "name": "clip" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "generate_audio_codes": { "name": "生成音频代码", "tooltip": "启用生成音频代码的LLM。这可能较慢，但会提升生成音频的质量。如果你为模型提供了音频参考，请关闭此选项。" }, "keyscale": { "name": "调式" }, "language": { "name": "语言" }, "lyrics": { "name": "歌词" }, "min_p": { "name": "最小 p" }, "seed": { "name": "种子" }, "tags": { "name": "标签" }, "temperature": { "name": "temperature" }, "timesignature": { "name": "拍号" }, "top_k": { "name": "top_k" }, "top_p": { "name": "top_p" } }, "outputs": { "0": { "tooltip": null } } }, "TextEncodeHunyuanVideo_ImageToVideo": { "display_name": "文本编码（Hunyuan视频_图像到视频）", "inputs": { "clip": { "name": "clip" }, "clip_vision_output": { "name": "clip视觉输出" }, "image_interleave": { "name": "图像交错", "tooltip": "图像与文本提示的影响程度。数字越高，文本提示的影响越大。" }, "prompt": { "name": "提示" } }, "outputs": { "0": { "tooltip": null } } }, "TextEncodeQwenImageEdit": { "display_name": "文本编码（QwenImageEdit）", "inputs": { "clip": { "name": "clip" }, "image": { "name": "图像" }, "prompt": { "name": "提示词" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "TextEncodeQwenImageEditPlus": { "display_name": "文本编码（QwenImageEditPlus）", "inputs": { "clip": { "name": "clip" }, "image1": { "name": "图像1" }, "image2": { "name": "图像2" }, "image3": { "name": "图像3" }, "prompt": { "name": "提示词" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "TextEncodeZImageOmni": { "display_name": "TextEncodeZImageOmni", "inputs": { "auto_resize_images": { "name": "auto_resize_images" }, "clip": { "name": "clip" }, "image1": { "name": "image1" }, "image2": { "name": "image2" }, "image3": { "name": "image3" }, "image_encoder": { "name": "image_encoder" }, "prompt": { "name": "prompt" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "TextToLowercase": { "display_name": "文本半角", "inputs": { "texts": { "name": "文本", "tooltip": "需要处理的文本" } }, "outputs": { "0": { "name": "文本", "tooltip": "已经处理的文本" } } }, "TextToUppercase": { "display_name": "文本全角", "inputs": { "texts": { "name": "文本", "tooltip": "需要处理的文本" } }, "outputs": { "0": { "name": "文本", "tooltip": "已经处理的文本" } } }, "ThresholdMask": { "display_name": "遮罩阈值", "inputs": { "mask": { "name": "遮罩" }, "value": { "name": "值" } }, "outputs": { "0": { "tooltip": null } } }, "TomePatchModel": { "display_name": "Tome合并模型Token", "inputs": { "model": { "name": "模型" }, "ratio": { "name": "比率" } }, "outputs": { "0": { "tooltip": null } } }, "TopazImageEnhance": { "description": "专业级放大和图像增强。", "display_name": "Topaz 图像增强", "inputs": { "color_preservation": { "name": "固定色彩", "tooltip": "保证色彩一致性。" }, "creativity": { "name": "多样性" }, "crop_to_fill": { "name": "裁剪", "tooltip": "默认情况下，当输出宽高比不同时，图像会带有边框。启用后会裁剪图像填充输出尺寸。" }, "face_enhancement": { "name": "面部增强", "tooltip": "优化面部（如果存在）。" }, "face_enhancement_creativity": { "name": "面部增强多样性", "tooltip": "设置面部增强时的多样性。" }, "face_enhancement_strength": { "name": "面部增强强度", "tooltip": "控制面部相对于背景的锐度。" }, "face_preservation": { "name": "固定面部", "tooltip": "保证主体面部一致性。" }, "image": { "name": "图像" }, "model": { "name": "模型" }, "output_height": { "name": "输出高度", "tooltip": "0为自动（一般情况下和输入图像相同）。" }, "output_width": { "name": "输出宽度", "tooltip": "0为自动（一般情况下和输入图像相同）。" }, "prompt": { "name": "提示词", "tooltip": "用于引导放大" }, "subject_detection": { "name": "物体检测" } }, "outputs": { "0": { "tooltip": null } } }, "TopazVideoEnhance": { "description": "通过强大的放大和修复技术，为视频注入新的生命。", "display_name": "Topaz 视频增强", "inputs": { "dynamic_compression_level": { "name": "动态压缩", "tooltip": "CQP 等级." }, "interpolation_duplicate": { "name": "补帧重复帧", "tooltip": "分析原视频，移除重复的帧。" }, "interpolation_duplicate_threshold": { "name": "补帧重复帧阈值", "tooltip": "判断为重复帧的阈值。" }, "interpolation_enabled": { "name": "补帧" }, "interpolation_frame_rate": { "name": "补帧帧率", "tooltip": "输出帧率" }, "interpolation_model": { "name": "补帧模型" }, "interpolation_slowmo": { "name": "补帧慢动作", "tooltip": "使用慢动作补帧。例如，设为 2 会让视频变慢到 0.5 倍，持续时间增加到 2 倍。" }, "upscaler_creativity": { "name": "放大多样性", "tooltip": "多样等级（仅适用 Starlight (Astra) Creative 模型）." }, "upscaler_enabled": { "name": "放大" }, "upscaler_model": { "name": "放大模型" }, "upscaler_resolution": { "name": "放大分辨率" }, "video": { "name": "视频" } }, "outputs": { "0": { "tooltip": null } } }, "TorchCompileModel": { "display_name": "Torch编译模型", "inputs": { "backend": { "name": "后端" }, "model": { "name": "模型" } }, "outputs": { "0": { "tooltip": null } } }, "TrainLoraNode": { "display_name": "训练 LoRA", "inputs": { "algorithm": { "name": "算法", "tooltip": "用于训练的算法。" }, "batch_size": { "name": "批次大小", "tooltip": "用于训练的批次大小。" }, "bucket_mode": { "name": "bucket模式", "tooltip": "启用分辨率 bucket 模式。开启后会先使用 分辨率Bucket 节点处理 Latent。" }, "bypass_mode": { "name": "bypass_mode", "tooltip": "为训练启用旁路模式。启用后，适配器通过前向钩子应用，而不是直接修改权重。适用于权重无法直接修改的量化模型。" }, "checkpoint_depth": { "name": "checkpoint_depth", "tooltip": "用于梯度检查点的深度级别。" }, "control_after_generate": { "name": "生成后控制" }, "existing_lora": { "name": "现有LoRA", "tooltip": "要附加到的现有LoRA。设置为None以创建新LoRA。" }, "grad_accumulation_steps": { "name": "梯度累积步数", "tooltip": "用于训练的梯度累积步数。" }, "gradient_checkpointing": { "name": "梯度检查点", "tooltip": "训练时使用梯度检查点。" }, "latents": { "name": "潜变量", "tooltip": "用于训练的潜变量，作为模型的数据集/输入。" }, "learning_rate": { "name": "学习率", "tooltip": "用于训练的学习率。" }, "lora_dtype": { "name": "LoRA 数据类型", "tooltip": "用于 LoRA 的数据类型。" }, "loss_function": { "name": "损失函数", "tooltip": "用于训练的损失函数。" }, "model": { "name": "模型", "tooltip": "用于训练 LoRA 的模型。" }, "offloading": { "name": "offloading", "tooltip": "用于梯度检查点的深度级别。" }, "optimizer": { "name": "优化器", "tooltip": "用于训练的优化器。" }, "positive": { "name": "正向条件", "tooltip": "用于训练的正向条件。" }, "rank": { "name": "秩", "tooltip": "LoRA 层的秩。" }, "seed": { "name": "种子", "tooltip": "用于训练的种子（用于 LoRA 权重初始化和噪声采样的生成器）" }, "steps": { "name": "步数", "tooltip": "训练 LoRA 的步数。" }, "training_dtype": { "name": "训练数据类型", "tooltip": "用于训练的数据类型。" } }, "outputs": { "0": { "name": "带LoRA的模型", "tooltip": "已应用 LoRA 的模型" }, "1": { "name": "LoRA", "tooltip": "LoRA 权重" }, "2": { "name": "损失", "tooltip": "损失历史图" } } }, "TrimAudioDuration": { "description": "将音频张量修剪到选定的时间范围。", "display_name": "修剪音频时长", "inputs": { "audio": { "name": "音频" }, "duration": { "name": "时长", "tooltip": "持续时间（秒）" }, "start_index": { "name": "起始索引", "tooltip": "开始时间（秒），可为负数表示从末尾开始计数（支持小数秒）。" } }, "outputs": { "0": { "tooltip": null } } }, "TrimVideoLatent": { "display_name": "修剪视频Latent", "inputs": { "samples": { "name": "Latent" }, "trim_amount": { "name": "修剪数量" } }, "outputs": { "0": { "tooltip": null } } }, "TripleCLIPLoader": { "description": "[配方]\n\nSD3：clip-l，clip-g，t5", "display_name": "三重CLIP加载器", "inputs": { "clip_name1": { "name": "CLIP名称1" }, "clip_name2": { "name": "CLIP名称2" }, "clip_name3": { "name": "CLIP名称3" } }, "outputs": { "0": { "tooltip": null } } }, "TripoConversionNode": { "display_name": "Tripo：转换模型", "inputs": { "animate_in_place": { "name": "原地动画" }, "bake": { "name": "烘焙" }, "export_orientation": { "name": "导出朝向" }, "export_vertex_colors": { "name": "导出顶点色" }, "face_limit": { "name": "面数限制" }, "fbx_preset": { "name": "fbx预设" }, "flatten_bottom": { "name": "平滑底部" }, "flatten_bottom_threshold": { "name": "平滑底部阈值" }, "force_symmetry": { "name": "强制对称" }, "format": { "name": "格式" }, "original_model_task_id": { "name": "原始模型任务ID" }, "pack_uv": { "name": "打包uv" }, "part_names": { "name": "部件名称" }, "pivot_to_center_bottom": { "name": "对齐底部中心" }, "quad": { "name": "四边形" }, "scale_factor": { "name": "缩放系数" }, "texture_format": { "name": "纹理格式" }, "texture_size": { "name": "纹理大小" }, "with_animation": { "name": "加入动画" } } }, "TripoImageToModelNode": { "display_name": "Tripo：图像转模型", "inputs": { "face_limit": { "name": "面数限制" }, "geometry_quality": { "name": "几何质量" }, "image": { "name": "图像" }, "model_seed": { "name": "模型种子" }, "model_version": { "name": "模型版本", "tooltip": "用于生成的模型版本" }, "orientation": { "name": "朝向" }, "pbr": { "name": "PBR" }, "quad": { "name": "四边形" }, "style": { "name": "风格" }, "texture": { "name": "纹理" }, "texture_alignment": { "name": "纹理对齐" }, "texture_quality": { "name": "纹理质量" }, "texture_seed": { "name": "纹理种子" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TripoMultiviewToModelNode": { "display_name": "Tripo：多视图转模型", "inputs": { "face_limit": { "name": "面数限制" }, "geometry_quality": { "name": "几何质量" }, "image": { "name": "图像" }, "image_back": { "name": "背面图像" }, "image_left": { "name": "左侧图像" }, "image_right": { "name": "右侧图像" }, "model_seed": { "name": "模型种子" }, "model_version": { "name": "模型版本", "tooltip": "用于生成的模型版本" }, "orientation": { "name": "朝向" }, "pbr": { "name": "PBR" }, "quad": { "name": "四边形" }, "texture": { "name": "纹理" }, "texture_alignment": { "name": "纹理对齐" }, "texture_quality": { "name": "纹理质量" }, "texture_seed": { "name": "纹理种子" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TripoRefineNode": { "description": "仅精修由v1.4 Tripo模型创建的草稿模型。", "display_name": "Tripo: 精修草稿模型", "inputs": { "model_task_id": { "name": "模型任务ID", "tooltip": "必须是v1.4 Tripo模型" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TripoRetargetNode": { "display_name": "Tripo: 重定向绑定模型", "inputs": { "animation": { "name": "动画" }, "original_model_task_id": { "name": "原始模型任务ID" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TripoRigNode": { "display_name": "Tripo: 绑定模型", "inputs": { "original_model_task_id": { "name": "原始模型任务ID" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TripoTextToModelNode": { "display_name": "Tripo: 文本转模型", "inputs": { "face_limit": { "name": "面数限制" }, "geometry_quality": { "name": "几何质量" }, "image_seed": { "name": "图像种子" }, "model_seed": { "name": "模型种子" }, "model_version": { "name": "模型版本" }, "negative_prompt": { "name": "负面提示词" }, "pbr": { "name": "PBR" }, "prompt": { "name": "提示词" }, "quad": { "name": "四边形" }, "style": { "name": "风格" }, "texture": { "name": "纹理" }, "texture_quality": { "name": "纹理质量" }, "texture_seed": { "name": "纹理种子" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TripoTextureNode": { "display_name": "Tripo: 纹理化模型", "inputs": { "model_task_id": { "name": "模型任务ID" }, "pbr": { "name": "PBR" }, "texture": { "name": "纹理" }, "texture_alignment": { "name": "纹理对齐" }, "texture_quality": { "name": "纹理质量" }, "texture_seed": { "name": "纹理种子" } }, "outputs": [ null, null, { "name": "GLB", "tooltip": null } ] }, "TruncateText": { "display_name": "截断文本", "inputs": { "max_length": { "name": "长度上限", "tooltip": "文本长度上限" }, "texts": { "name": "文本", "tooltip": "需要处理的文本" } }, "outputs": { "0": { "name": "文本", "tooltip": "已处理的文本" } } }, "UNETLoader": { "display_name": "UNet加载器", "inputs": { "unet_name": { "name": "UNet名称" }, "weight_dtype": { "name": "数据类型" } } }, "UNetCrossAttentionMultiply": { "display_name": "UNet交叉注意力乘数", "inputs": { "k": { "name": "k" }, "model": { "name": "模型" }, "out": { "name": "输出" }, "q": { "name": "q" }, "v": { "name": "v" } }, "outputs": { "0": { "tooltip": null } } }, "UNetSelfAttentionMultiply": { "display_name": "UNet自注意力乘数", "inputs": { "k": { "name": "k" }, "model": { "name": "模型" }, "out": { "name": "输出" }, "q": { "name": "q" }, "v": { "name": "v" } }, "outputs": { "0": { "tooltip": null } } }, "UNetTemporalAttentionMultiply": { "display_name": "UNet时间注意力乘数", "inputs": { "cross_structural": { "name": "交叉结构" }, "cross_temporal": { "name": "交叉时间" }, "model": { "name": "模型" }, "self_structural": { "name": "自我结构" }, "self_temporal": { "name": "自我时间" } }, "outputs": { "0": { "tooltip": null } } }, "USOStyleReference": { "display_name": "USO风格参考", "inputs": { "clip_vision_output": { "name": "CLIP视觉输出" }, "model": { "name": "模型" }, "model_patch": { "name": "模型补丁" } } }, "UpscaleModelLoader": { "display_name": "加载放大模型", "inputs": { "model_name": { "name": "模型名称" } }, "outputs": { "0": { "tooltip": null } } }, "VAEDecode": { "description": "将 Latent 图像解码为像素空间的图像。", "display_name": "VAE解码", "inputs": { "samples": { "name": "Latent", "tooltip": "要解码的 Latent 图像。" }, "vae": { "name": "vae", "tooltip": "用于解码 Latent 图像的 VAE 模型。" } }, "outputs": { "0": { "tooltip": "解码后的图像。" } } }, "VAEDecodeAudio": { "display_name": "VAE解码（音频）", "inputs": { "samples": { "name": "Latent" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "VAEDecodeAudioTiled": { "display_name": "VAE解码音频（分块）", "inputs": { "overlap": { "name": "重叠" }, "samples": { "name": "样本" }, "tile_size": { "name": "分块大小" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "VAEDecodeHunyuan3D": { "display_name": "VAE解码（Hunyuan3D）", "inputs": { "num_chunks": { "name": "块数" }, "octree_resolution": { "name": "八叉树分辨率" }, "samples": { "name": "样本" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "VAEDecodeTiled": { "display_name": "VAE解码（分块）", "inputs": { "overlap": { "name": "重叠" }, "samples": { "name": "Latent" }, "temporal_overlap": { "name": "时间重叠", "tooltip": "仅用于视频VAE：重叠的帧数。" }, "temporal_size": { "name": "时间尺寸", "tooltip": "仅用于视频VAE：一次解码的帧数。" }, "tile_size": { "name": "分块尺寸" }, "vae": { "name": "vae" } } }, "VAEEncode": { "display_name": "VAE编码", "inputs": { "pixels": { "name": "像素" }, "vae": { "name": "vae" } } }, "VAEEncodeAudio": { "display_name": "VAE编码（音频）", "inputs": { "audio": { "name": "音频" }, "vae": { "name": "vae" } }, "outputs": { "0": { "tooltip": null } } }, "VAEEncodeForInpaint": { "display_name": "VAE编码（局部重绘）", "inputs": { "grow_mask_by": { "name": "扩展遮罩" }, "mask": { "name": "遮罩" }, "pixels": { "name": "像素" }, "vae": { "name": "vae" } } }, "VAEEncodeTiled": { "display_name": "VAE编码分块）", "inputs": { "overlap": { "name": "重叠" }, "pixels": { "name": "像素" }, "temporal_overlap": { "name": "时间重叠", "tooltip": "仅用于视频VAE：重叠的帧数。" }, "temporal_size": { "name": "时间尺寸", "tooltip": "仅用于视频VAE：一次编码的帧数。" }, "tile_size": { "name": "分块尺寸" }, "vae": { "name": "vae" } } }, "VAELoader": { "display_name": "加载VAE", "inputs": { "vae_name": { "name": "vae名称" } } }, "VAESave": { "display_name": "保存VAE", "inputs": { "filename_prefix": { "name": "文件名前缀" }, "vae": { "name": "vae" } } }, "VPScheduler": { "display_name": "VPS调度器", "inputs": { "beta_d": { "name": "beta_d" }, "beta_min": { "name": "beta_min" }, "eps_s": { "name": "eps_s" }, "steps": { "name": "步数" } }, "outputs": { "0": { "tooltip": null } } }, "Veo3FirstLastFrameNode": { "description": "使用首尾帧和提示词生成视频", "display_name": "Google Veo 3 首尾帧视频", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的秒数" }, "first_frame": { "name": "初始帧", "tooltip": "初始帧" }, "generate_audio": { "name": "生成音频", "tooltip": "为视频生成音频" }, "last_frame": { "name": "结束帧", "tooltip": "结束帧" }, "model": { "name": "模型" }, "negative_prompt": { "name": "负面提示词", "tooltip": "避免视频出现内容的文本描述" }, "prompt": { "name": "提示词", "tooltip": "视频的文本描述" }, "resolution": { "name": "分辨率" }, "seed": { "name": "随机种", "tooltip": "生成视频的随机种" } }, "outputs": { "0": { "tooltip": null } } }, "Veo3VideoGenerationNode": { "description": "使用 Google Veo 3 API 从文本提示生成视频", "display_name": "Google Veo 3 视频生成", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration_seconds": { "name": "时长", "tooltip": "输出视频的时长（秒）（Veo 3 仅支持 8 秒）" }, "enhance_prompt": { "name": "优化提示词", "tooltip": "是否使用 AI 辅助增强提示" }, "generate_audio": { "name": "生成音频", "tooltip": "为视频生成音频。所有 Veo 3 模型均支持此功能。" }, "image": { "name": "图像", "tooltip": "用于指导视频生成的可选参考图像" }, "model": { "name": "模型", "tooltip": "用于视频生成的 Veo 3 模型" }, "negative_prompt": { "name": "负面提示词", "tooltip": "负面文本提示，指导视频中应避免的内容" }, "person_generation": { "name": "生成人类", "tooltip": "是否允许在视频中生成人物" }, "prompt": { "name": "提示词", "tooltip": "视频的文本描述" }, "seed": { "name": "随机种", "tooltip": "视频生成的种子值（0 表示随机）" } }, "outputs": { "0": { "tooltip": null } } }, "VeoVideoGenerationNode": { "description": "使用 Google 的 Veo API 根据文本提示生成视频", "display_name": "Google Veo2 视频生成", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration_seconds": { "name": "时长", "tooltip": "输出视频的时长（秒）" }, "enhance_prompt": { "name": "优化提示词", "tooltip": "是否使用 AI 辅助增强提示词" }, "image": { "name": "图像", "tooltip": "可选的参考图像，用于引导视频生成" }, "model": { "name": "模型", "tooltip": "用于视频生成的 Veo 2 模型" }, "negative_prompt": { "name": "负面提示词", "tooltip": "用于指导视频中应避免内容的负面文本提示" }, "person_generation": { "name": "生成人类", "tooltip": "是否允许在视频中生成人物" }, "prompt": { "name": "提示词", "tooltip": "视频的文本描述" }, "seed": { "name": "随机种", "tooltip": "视频生成的种子（0 表示随机）" } }, "outputs": { "0": { "tooltip": null } } }, "Video Slice": { "display_name": "视频切片", "inputs": { "duration": { "name": "时长", "tooltip": "以秒为单位的时长，0 表示不限时长" }, "start_time": { "name": "起始时间", "tooltip": "以秒为单位的起始时间" }, "strict_duration": { "name": "严格时长", "tooltip": "如为 True，当指定时长无法实现时将报错。" }, "video": { "name": "视频" } }, "outputs": { "0": { "tooltip": null } } }, "VideoLinearCFGGuidance": { "display_name": "视频线性CFG引导", "inputs": { "min_cfg": { "name": "最小配置" }, "model": { "name": "模型" } } }, "VideoTriangleCFGGuidance": { "display_name": "视频三角形CFG引导", "inputs": { "min_cfg": { "name": "最小配置" }, "model": { "name": "模型" } } }, "Vidu2ImageToVideoNode": { "description": "根据一张图像和可选提示生成视频。", "display_name": "Vidu2 图像转视频生成", "inputs": { "control_after_generate": { "name": "control after generate" }, "duration": { "name": "duration" }, "image": { "name": "image", "tooltip": "用于生成视频起始帧的图像。" }, "model": { "name": "model" }, "movement_amplitude": { "name": "movement_amplitude", "tooltip": "画面中物体的运动幅度。" }, "prompt": { "name": "prompt", "tooltip": "用于视频生成的可选文本提示（最多2000字符）。" }, "resolution": { "name": "resolution" }, "seed": { "name": "seed" } }, "outputs": { "0": { "tooltip": null } } }, "Vidu2ReferenceVideoNode": { "description": "根据多张参考图像和提示生成视频。", "display_name": "Vidu2 参考图像转视频生成", "inputs": { "aspect_ratio": { "name": "aspect_ratio" }, "audio": { "name": "audio", "tooltip": "启用后，视频将根据提示包含生成的语音和背景音乐。" }, "control_after_generate": { "name": "control after generate" }, "duration": { "name": "duration" }, "model": { "name": "model" }, "movement_amplitude": { "name": "movement_amplitude", "tooltip": "画面中物体的运动幅度。" }, "prompt": { "name": "prompt", "tooltip": "启用后，视频将根据提示生成语音和背景音乐。" }, "resolution": { "name": "resolution" }, "seed": { "name": "seed" }, "subjects": { "name": "subjects", "tooltip": "每个主体最多提供3张参考图像（所有主体共7张）。可通过 @subject{subject_id} 在提示中引用。" } }, "outputs": { "0": { "tooltip": null } } }, "Vidu2StartEndToVideoNode": { "description": "根据起始帧、结束帧和提示词生成视频。", "display_name": "Vidu2 起始/结束帧到视频生成", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "end_frame": { "name": "结束帧" }, "first_frame": { "name": "起始帧" }, "model": { "name": "模型" }, "movement_amplitude": { "name": "运动幅度", "tooltip": "帧中物体的运动幅度。" }, "prompt": { "name": "提示词", "tooltip": "提示描述（最多2000个字符）。" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子" } }, "outputs": { "0": { "tooltip": null } } }, "Vidu2TextToVideoNode": { "description": "根据文本提示生成视频", "display_name": "Vidu2 文本到视频生成", "inputs": { "aspect_ratio": { "name": "宽高比" }, "background_music": { "name": "背景音乐", "tooltip": "是否为生成的视频添加背景音乐。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "model": { "name": "模型" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的文本描述，最大长度为2000个字符。" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子" } }, "outputs": { "0": { "tooltip": null } } }, "Vidu3ImageToVideoNode": { "description": "根据图像和可选提示生成视频。", "display_name": "Vidu Q3 图像转视频生成", "inputs": { "control_after_generate": { "name": "control after generate" }, "image": { "name": "image", "tooltip": "用作生成视频起始帧的图像。" }, "model": { "name": "model", "tooltip": "用于视频生成的模型。" }, "model_audio": { "name": "audio" }, "model_duration": { "name": "duration" }, "model_resolution": { "name": "resolution" }, "prompt": { "name": "prompt", "tooltip": "用于视频生成的可选文本提示（最多2000字符）。" }, "seed": { "name": "seed" } }, "outputs": { "0": { "tooltip": null } } }, "Vidu3TextToVideoNode": { "description": "根据文本提示生成视频。", "display_name": "Vidu Q3 文本转视频生成", "inputs": { "control_after_generate": { "name": "control after generate" }, "model": { "name": "model", "tooltip": "用于视频生成的模型。" }, "model_aspect_ratio": { "name": "aspect_ratio" }, "model_audio": { "name": "audio" }, "model_duration": { "name": "duration" }, "model_resolution": { "name": "resolution" }, "prompt": { "name": "prompt", "tooltip": "用于视频生成的文本描述，最大长度为2000字符。" }, "seed": { "name": "seed" } }, "outputs": { "0": { "tooltip": null } } }, "ViduExtendVideoNode": { "description": "通过生成额外帧来扩展已有视频。", "display_name": "Vidu 视频扩展", "inputs": { "control_after_generate": { "name": "control after generate" }, "end_frame": { "name": "end_frame" }, "model": { "name": "model", "tooltip": "用于视频扩展的模型。" }, "model_duration": { "name": "duration" }, "model_resolution": { "name": "resolution" }, "prompt": { "name": "prompt", "tooltip": "用于扩展视频的可选文本提示（最多2000字符）。" }, "seed": { "name": "seed" }, "video": { "name": "video", "tooltip": "要扩展的源视频。" } }, "outputs": { "0": { "tooltip": null } } }, "ViduImageToVideoNode": { "description": "从图像和可选提示生成视频", "display_name": "Vidu 图像转视频生成", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（秒）" }, "image": { "name": "图像", "tooltip": "用作生成视频起始帧的图像" }, "model": { "name": "模型", "tooltip": "模型名称" }, "movement_amplitude": { "name": "运动幅度", "tooltip": "画面中对象的运动幅度" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的文本描述" }, "resolution": { "name": "分辨率", "tooltip": "支持的值可能因模型和时长而异" }, "seed": { "name": "随机种", "tooltip": "视频生成的种子值（0 表示随机）" } }, "outputs": { "0": { "tooltip": null } } }, "ViduMultiFrameVideoNode": { "description": "生成包含多个关键帧过渡的视频。", "display_name": "Vidu 多帧视频生成", "inputs": { "control_after_generate": { "name": "control after generate" }, "frames": { "name": "frames", "tooltip": "关键帧过渡数量（2-9）。" }, "frames_duration1": { "name": "duration1" }, "frames_duration2": { "name": "duration2" }, "frames_prompt1": { "name": "prompt1" }, "frames_prompt2": { "name": "prompt2" }, "model": { "name": "model" }, "resolution": { "name": "resolution" }, "seed": { "name": "seed" }, "start_image": { "name": "start_image", "tooltip": "起始帧图像。宽高比需在1:4到4:1之间。" } }, "outputs": { "0": { "tooltip": null } } }, "ViduReferenceVideoNode": { "description": "从多张图像和提示生成视频", "display_name": "Vidu 参考转视频生成", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（秒）" }, "images": { "name": "图像", "tooltip": "用作参考以生成具有一致主体的图像（最多 7 张图像）" }, "model": { "name": "模型", "tooltip": "模型名称" }, "movement_amplitude": { "name": "运动幅度", "tooltip": "画面中物体的运动幅度" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的文本描述" }, "resolution": { "name": "分辨率", "tooltip": "支持的值可能因模型和时长而异" }, "seed": { "name": "种子", "tooltip": "视频生成的种子值（0表示随机）" } }, "outputs": { "0": { "tooltip": null } } }, "ViduStartEndToVideoNode": { "description": "根据起始帧、结束帧和提示词生成视频", "display_name": "Vidu 起始结束帧转视频生成", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（秒）" }, "end_frame": { "name": "结束帧", "tooltip": "结束帧" }, "first_frame": { "name": "起始帧", "tooltip": "开始帧" }, "model": { "name": "模型", "tooltip": "模型名称" }, "movement_amplitude": { "name": "运动幅度", "tooltip": "画面中物体的运动幅度" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的文本描述" }, "resolution": { "name": "分辨率", "tooltip": "支持的值可能因模型和时长而异" }, "seed": { "name": "种子", "tooltip": "视频生成的种子值（0表示随机）" } }, "outputs": { "0": { "tooltip": null } } }, "ViduTextToVideoNode": { "description": "根据文本提示词生成视频", "display_name": "Vidu 文本转视频生成", "inputs": { "aspect_ratio": { "name": "宽高比", "tooltip": "输出视频的宽高比" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "输出视频的时长（秒）" }, "model": { "name": "模型", "tooltip": "模型名称" }, "movement_amplitude": { "name": "运动幅度", "tooltip": "画面中物体的运动幅度" }, "prompt": { "name": "提示词", "tooltip": "用于视频生成的文本描述" }, "resolution": { "name": "分辨率", "tooltip": "支持的值可能因模型和时长而异" }, "seed": { "name": "种子", "tooltip": "视频生成的种子值（0表示随机）" } }, "outputs": { "0": { "tooltip": null } } }, "VoxelToMesh": { "display_name": "体素到网格", "inputs": { "algorithm": { "name": "算法" }, "threshold": { "name": "阈值" }, "voxel": { "name": "体素" } }, "outputs": { "0": { "tooltip": null } } }, "VoxelToMeshBasic": { "display_name": "体素到网格（基础）", "inputs": { "threshold": { "name": "阈值" }, "voxel": { "name": "体素" } }, "outputs": { "0": { "tooltip": null } } }, "Wan22FunControlToVideo": { "display_name": "Wan22FunControl视频", "inputs": { "batch_size": { "name": "批次大小" }, "control_video": { "name": "控制视频" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面提示词" }, "positive": { "name": "正面提示词" }, "ref_image": { "name": "参考图像" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向提示", "tooltip": null }, "1": { "name": "负向提示", "tooltip": null }, "2": { "name": "潜变量", "tooltip": null } } }, "Wan22ImageToVideoLatent": { "display_name": "Wan22图像转视频潜变量", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "start_image": { "name": "起始图像" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "WanAnimateToVideo": { "display_name": "Wan动画转视频", "inputs": { "background_video": { "name": "背景视频" }, "batch_size": { "name": "批次大小" }, "character_mask": { "name": "角色遮罩" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "continue_motion": { "name": "继续运动" }, "continue_motion_max_frames": { "name": "继续运动最大帧数" }, "face_video": { "name": "面部视频" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负向提示" }, "pose_video": { "name": "姿态视频" }, "positive": { "name": "正向提示" }, "reference_image": { "name": "参考图像" }, "vae": { "name": "VAE" }, "video_frame_offset": { "name": "视频帧偏移", "tooltip": "在所有输入视频中跳过的帧数。用于通过分块生成更长的视频。连接到上一个节点的video_frame_offset输出以扩展视频。" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向提示", "tooltip": null }, "1": { "name": "负向提示", "tooltip": null }, "2": { "name": "潜变量", "tooltip": null }, "3": { "name": "修剪潜变量", "tooltip": null }, "4": { "name": "修剪图像", "tooltip": null }, "5": { "name": "视频帧偏移", "tooltip": null } } }, "WanCameraEmbedding": { "display_name": "Wan相机嵌入", "inputs": { "camera_pose": { "name": "相机姿态" }, "cx": { "name": "cx" }, "cy": { "name": "cy" }, "fx": { "name": "fx" }, "fy": { "name": "fy" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "speed": { "name": "速度" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "相机嵌入", "tooltip": null }, "1": { "name": "宽度", "tooltip": null }, "2": { "name": "高度", "tooltip": null }, "3": { "name": "长度", "tooltip": null } } }, "WanCameraImageToVideo": { "display_name": "万相机图像转视频", "inputs": { "batch_size": { "name": "批次大小" }, "camera_conditions": { "name": "相机条件" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面提示词" }, "positive": { "name": "正面提示词" }, "start_image": { "name": "起始图像" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面提示词", "tooltip": null }, "1": { "name": "负面提示词", "tooltip": null }, "2": { "name": "潜空间", "tooltip": null } } }, "WanContextWindowsManual": { "description": "手动设置类WAN模型的上下文窗口（维度=2）。", "display_name": "WAN上下文窗口（手动）", "inputs": { "closed_loop": { "name": "闭环", "tooltip": "是否关闭上下文窗口循环；仅适用于循环调度。" }, "context_length": { "name": "上下文长度", "tooltip": "上下文窗口的长度。" }, "context_overlap": { "name": "上下文重叠", "tooltip": "上下文窗口的重叠量。" }, "context_schedule": { "name": "上下文调度", "tooltip": "上下文窗口的步长；仅适用于均匀调度。" }, "context_stride": { "name": "上下文步长", "tooltip": "上下文窗口的步长；仅适用于均匀调度。" }, "freenoise": { "name": "Freenoise", "tooltip": "是否应用 Freenoise，优化窗口融合。" }, "fuse_method": { "name": "融合方法", "tooltip": "用于融合上下文窗口的方法。" }, "model": { "name": "模型", "tooltip": "在采样过程中应用上下文窗口的模型。" } }, "outputs": { "0": { "tooltip": "在采样过程中应用了上下文窗口的模型。" } } }, "WanFirstLastFrameToVideo": { "display_name": "Wan首尾帧视频", "inputs": { "batch_size": { "name": "批量大小" }, "clip_vision_end_image": { "name": "clip 视觉结束图像" }, "clip_vision_start_image": { "name": "clip 视觉起始图像" }, "end_image": { "name": "结束图像" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负向" }, "positive": { "name": "正向" }, "start_image": { "name": "起始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "负向", "tooltip": null }, "2": { "name": "latent", "tooltip": null } } }, "WanFunControlToVideo": { "display_name": "WanFunControl视频", "inputs": { "batch_size": { "name": "批量大小" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "control_video": { "name": "控制视频" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负向" }, "positive": { "name": "正向" }, "start_image": { "name": "起始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "负向", "tooltip": null }, "2": { "name": "latent", "tooltip": null } } }, "WanFunInpaintToVideo": { "display_name": "WanFunInpaint视频", "inputs": { "batch_size": { "name": "批量大小" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "end_image": { "name": "结束图像" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负向" }, "positive": { "name": "正向" }, "start_image": { "name": "起始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "负向", "tooltip": null }, "2": { "name": "latent", "tooltip": null } } }, "WanHuMoImageToVideo": { "display_name": "万虎魔图像转视频", "inputs": { "audio_encoder_output": { "name": "音频编码器输出" }, "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面提示词" }, "positive": { "name": "正面提示词" }, "ref_image": { "name": "参考图像" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面提示词", "tooltip": null }, "1": { "name": "负面提示词", "tooltip": null }, "2": { "name": "潜空间", "tooltip": null } } }, "WanImageToImageApi": { "description": "根据一张或两张输入图像和文本提示生成图像。输出图像目前固定为160万像素；其宽高比与输入图像匹配。", "display_name": "Wan 图像转图像", "inputs": { "control_after_generate": { "name": "生成后控制" }, "image": { "name": "图像", "tooltip": "单图编辑或多图融合，最多2张图像。" }, "model": { "name": "模型", "tooltip": "要使用的模型。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "用于指导避免内容的负面文本提示。" }, "prompt": { "name": "提示词", "tooltip": "用于描述元素和视觉特征的提示词，支持英文/中文。" }, "seed": { "name": "种子", "tooltip": "生成使用的种子值。" }, "watermark": { "name": "水印", "tooltip": "是否在结果中添加\"AI生成\"水印。" } }, "outputs": { "0": { "tooltip": null } } }, "WanImageToVideo": { "display_name": "图像到视频（Wan）", "inputs": { "batch_size": { "name": "批量大小" }, "clip_vision_output": { "name": "clip视觉输出" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面" }, "positive": { "name": "正面" }, "start_image": { "name": "开始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面", "tooltip": null }, "1": { "name": "负面", "tooltip": null }, "2": { "name": "潜在", "tooltip": null } } }, "WanImageToVideoApi": { "description": "基于首帧图像和文本提示生成视频。", "display_name": "Wan 图生视频", "inputs": { "audio": { "name": "音频", "tooltip": "音频必须包含清晰、响亮的人声，无杂音和背景音乐。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "可用时长：5秒和10秒" }, "generate_audio": { "name": "生成音频", "tooltip": "若无音频输入，则自动生成音频。" }, "image": { "name": "图像" }, "model": { "name": "模型", "tooltip": "要使用的模型。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "用于指导避免内容的负面文本提示。" }, "prompt": { "name": "提示词", "tooltip": "用于描述元素和视觉特征的提示词，支持英文/中文。" }, "prompt_extend": { "name": "优化提示词", "tooltip": "是否通过AI辅助增强提示词。" }, "resolution": { "name": "分辨率" }, "seed": { "name": "种子", "tooltip": "生成使用的种子值。" }, "shot_type": { "name": "镜头类型", "tooltip": "选择生成的视频的镜头类型，即视频是单个连续镜头还是多个剪辑镜头。需要开启 优化提示词。" }, "watermark": { "name": "水印", "tooltip": "是否在结果中添加\"AI生成\"水印。" } }, "outputs": { "0": { "tooltip": null } } }, "WanInfiniteTalkToVideo": { "display_name": "WanInfiniteTalkToVideo", "inputs": { "audio_encoder_output_1": { "name": "音频编码器输出1" }, "audio_scale": { "name": "音频缩放" }, "clip_vision_output": { "name": "clip视觉输出" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "mode": { "name": "模式" }, "model": { "name": "模型" }, "model_patch": { "name": "模型补丁" }, "motion_frame_count": { "name": "运动帧数", "tooltip": "用作运动上下文的前置帧数量。" }, "negative": { "name": "负向提示" }, "positive": { "name": "正向提示" }, "previous_frames": { "name": "前置帧" }, "start_image": { "name": "起始图像" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "模型", "tooltip": null }, "1": { "name": "正向提示", "tooltip": null }, "2": { "name": "负向提示", "tooltip": null }, "3": { "name": "latent", "tooltip": null }, "4": { "name": "裁剪图像", "tooltip": null } } }, "WanMoveConcatTrack": { "display_name": "WanMove合并轨道", "inputs": { "tracks_1": { "name": "轨道1" }, "tracks_2": { "name": "轨道2" } }, "outputs": { "0": { "tooltip": null } } }, "WanMoveTrackToVideo": { "display_name": "WanMove轨道到视频", "inputs": { "batch_size": { "name": "批次大小" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "height": { "name": "高度" }, "length": { "name": "时长" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_image": { "name": "起始帧" }, "strength": { "name": "强度", "tooltip": "轨道条件的强度。" }, "tracks": { "name": "轨道" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件", "tooltip": null }, "1": { "name": "负面条件", "tooltip": null }, "2": { "name": "Latent", "tooltip": null } } }, "WanMoveTracksFromCoords": { "display_name": "WanMove坐标到轨道", "inputs": { "track_coords": { "name": "轨道坐标" }, "track_mask": { "name": "轨道遮罩" } }, "outputs": { "0": { "tooltip": null }, "1": { "name": "轨道长度", "tooltip": null } } }, "WanMoveVisualizeTracks": { "display_name": "WanMove预览轨道", "inputs": { "circle_size": { "name": "圆环尺寸" }, "images": { "name": "图像" }, "line_resolution": { "name": "线条分辨率" }, "line_width": { "name": "线条宽度" }, "opacity": { "name": "不透明度" }, "tracks": { "name": "轨道" } }, "outputs": { "0": { "tooltip": null } } }, "WanPhantomSubjectToVideo": { "display_name": "WanPhantom主体转视频", "inputs": { "batch_size": { "name": "批次大小" }, "height": { "name": "高度" }, "images": { "name": "图像" }, "length": { "name": "长度" }, "negative": { "name": "负面提示词" }, "positive": { "name": "正面提示词" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面提示词", "tooltip": null }, "1": { "name": "负面文本", "tooltip": null }, "2": { "name": "负面图像文本", "tooltip": null }, "3": { "name": "潜变量", "tooltip": null } } }, "WanReferenceVideoApi": { "description": "使用输入视频中的角色和声音，结合提示词，生成保持角色一致性的新视频。", "display_name": "Wan 参考视频生成", "inputs": { "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长" }, "model": { "name": "模型" }, "negative_prompt": { "name": "反向提示词", "tooltip": "描述需要避免内容的反向提示词。" }, "prompt": { "name": "提示词", "tooltip": "描述元素和视觉特征的提示词。支持英文和中文。使用如 `character1` 和 `character2` 这样的标识符来指代参考角色。" }, "reference_videos": { "name": "参考视频" }, "seed": { "name": "种子" }, "shot_type": { "name": "镜头类型", "tooltip": "指定生成视频的镜头类型，即视频是单一连续镜头还是包含多个剪辑的镜头。" }, "size": { "name": "尺寸" }, "watermark": { "name": "水印", "tooltip": "是否为结果添加 AI 生成的水印。" } }, "outputs": { "0": { "tooltip": null } } }, "WanSoundImageToVideo": { "display_name": "图像到视频（WanSound）", "inputs": { "audio_encoder_output": { "name": "音频编码器输出" }, "batch_size": { "name": "批次大小" }, "control_video": { "name": "控制视频" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面提示词" }, "positive": { "name": "正面提示词" }, "ref_image": { "name": "参考图像" }, "ref_motion": { "name": "参考动作" }, "vae": { "name": "VAE" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面提示词", "tooltip": null }, "1": { "name": "负面提示词", "tooltip": null }, "2": { "name": "潜变量", "tooltip": null } } }, "WanSoundImageToVideoExtend": { "display_name": "图像到视频扩展（WanSound）", "inputs": { "audio_encoder_output": { "name": "音频编码器输出" }, "control_video": { "name": "控制视频" }, "length": { "name": "长度" }, "negative": { "name": "负面提示词" }, "positive": { "name": "正面提示词" }, "ref_image": { "name": "参考图像" }, "vae": { "name": "VAE" }, "video_latent": { "name": "视频潜变量" } }, "outputs": { "0": { "name": "正面提示词", "tooltip": null }, "1": { "name": "负面提示词", "tooltip": null }, "2": { "name": "潜变量", "tooltip": null } } }, "WanTextToImageApi": { "description": "基于文本提示生成图像。", "display_name": "Wan文生图", "inputs": { "control_after_generate": { "name": "生成后控制" }, "height": { "name": "高度" }, "model": { "name": "模型", "tooltip": "要使用的模型。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "用于指导避免内容的负面文本提示。" }, "prompt": { "name": "提示词", "tooltip": "用于描述元素和视觉特征的提示词，支持英文/中文。" }, "prompt_extend": { "name": "提示词增强", "tooltip": "是否使用AI辅助增强提示词。" }, "seed": { "name": "种子", "tooltip": "用于生成的种子值。" }, "watermark": { "name": "水印", "tooltip": "是否在结果中添加\"AI生成\"水印。" }, "width": { "name": "宽度" } }, "outputs": { "0": { "tooltip": null } } }, "WanTextToVideoApi": { "description": "基于文本提示生成视频。", "display_name": "Wan文生视频", "inputs": { "audio": { "name": "音频", "tooltip": "音频必须包含清晰、响亮的人声，无杂音和背景音乐。" }, "control_after_generate": { "name": "生成后控制" }, "duration": { "name": "时长", "tooltip": "可用时长：5秒和10秒" }, "generate_audio": { "name": "生成音频", "tooltip": "若无音频输入，则自动生成音频。" }, "model": { "name": "模型", "tooltip": "要使用的模型。" }, "negative_prompt": { "name": "负面提示词", "tooltip": "用于引导避免内容的负面文本提示。" }, "prompt": { "name": "提示词", "tooltip": "用于描述元素和视觉特征的提示词，支持英文/中文。" }, "prompt_extend": { "name": "优化提示词", "tooltip": "是否通过AI辅助增强提示词。" }, "seed": { "name": "随机种", "tooltip": "用于生成的种子值。" }, "shot_type": { "name": "镜头类型", "tooltip": "选择生成的视频的镜头类型，即视频是单个连续镜头还是多个剪辑镜头。需要开启 优化提示词。" }, "size": { "name": "尺寸" }, "watermark": { "name": "水印", "tooltip": "是否在结果中添加“AI生成”水印。" } }, "outputs": { "0": { "tooltip": null } } }, "WanTrackToVideo": { "display_name": "WanTrack视频", "inputs": { "batch_size": { "name": "批次大小" }, "clip_vision_output": { "name": "CLIP视觉输出" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "start_image": { "name": "图像" }, "temperature": { "name": "温度" }, "topk": { "name": "topk" }, "tracks": { "name": "tracks" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面提示词", "tooltip": null }, "1": { "name": "负面提示词", "tooltip": null }, "2": { "name": "latent", "tooltip": null } } }, "WanVaceToVideo": { "display_name": "WanVace视频", "inputs": { "batch_size": { "name": "批量大小" }, "control_masks": { "name": "控制遮罩" }, "control_video": { "name": "控制视频" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "negative": { "name": "负面条件" }, "positive": { "name": "正面条件" }, "reference_image": { "name": "参考图像" }, "strength": { "name": "强度" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正向", "tooltip": null }, "1": { "name": "负向", "tooltip": null }, "2": { "name": "latent", "tooltip": null }, "3": { "name": "裁剪latent", "tooltip": null } } }, "WavespeedFlashVSRNode": { "description": "快速高质量的视频超分辨率工具，可提升分辨率并恢复低分辨率或模糊视频的清晰度。", "display_name": "FlashVSR 视频超分辨率", "inputs": { "target_resolution": { "name": "target_resolution" }, "video": { "name": "video" } }, "outputs": { "0": { "tooltip": null } } }, "WavespeedImageUpscaleNode": { "description": "提升图像分辨率和质量，将照片放大至 4K 或 8K，获得清晰细致的效果。", "display_name": "WaveSpeed 图像超分辨率", "inputs": { "image": { "name": "image" }, "model": { "name": "model" }, "target_resolution": { "name": "target_resolution" } }, "outputs": { "0": { "tooltip": null } } }, "WebcamCapture": { "display_name": "网络摄像头捕获", "inputs": { "capture_on_queue": { "name": "执行时捕获" }, "height": { "name": "高度" }, "image": { "name": "图像" }, "waiting for camera___": {}, "width": { "name": "宽度" } } }, "ZImageFunControlnet": { "display_name": "ZImageFunControlnet", "inputs": { "image": { "name": "图像" }, "inpaint_image": { "name": "重绘图像" }, "mask": { "name": "遮罩" }, "model": { "name": "模型" }, "model_patch": { "name": "模型补丁" }, "strength": { "name": "强度" }, "vae": { "name": "VAE" } } }, "unCLIPCheckpointLoader": { "display_name": "unCLIPCheckpoint加载器", "inputs": { "ckpt_name": { "name": "Checkpoint名称" } } }, "unCLIPConditioning": { "display_name": "unCLIP条件", "inputs": { "clip_vision_output": { "name": "CLIP视觉输出" }, "conditioning": { "name": "条件" }, "noise_augmentation": { "name": "噪波增强" }, "strength": { "name": "强度" } } }, "wanBlockSwap": { "description": "NOP", "display_name": "Wan块置换", "inputs": { "model": { "name": "模型" } }, "outputs": { "0": { "tooltip": null } } } }