{ "AddNoise": { "display_name": "添加噪波", "inputs": { "latent_image": { "name": "Latent" }, "model": { "name": "模型" }, "noise": { "name": "噪波" }, "sigmas": { "name": "Sigmas" } } }, "AlignYourStepsScheduler": { "display_name": "AlignYourSteps调度器", "inputs": { "denoise": { "name": "降噪" }, "model_type": { "name": "模型类型" }, "steps": { "name": "步数" } } }, "BasicGuider": { "display_name": "基本引导器", "inputs": { "conditioning": { "name": "条件" }, "model": { "name": "模型" } } }, "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" } } }, "BetaSamplingScheduler": { "display_name": "Beta采样调度器", "inputs": { "alpha": { "name": "阿尔法" }, "beta": { "name": "贝塔" }, "model": { "name": "模型" }, "steps": { "name": "步数" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "CLIPTextEncodeHunyuanDiT": { "display_name": "CLIP文本编码混元DiT", "inputs": { "bert": { "name": "bert" }, "clip": { "name": "clip" }, "mt5xl": { "name": "mt5xl" } } }, "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": "Lumina2的CLIP文本编码", "inputs": { "clip": { "name": "clip", "tooltip": "用于编码文本的CLIP模型。" }, "system_prompt": { "name": "system_prompt", "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": "user_prompt", "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": "CLIPTextEncodePixArtAlpha", "inputs": { "clip": { "name": "剪辑" }, "height": { "name": "高度" }, "text": { "name": "文本" }, "width": { "name": "宽度" } } }, "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" } } }, "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" } } }, "CLIPTextEncodeSDXLRefiner": { "display_name": "CLIP文本编码SDXL精炼器", "inputs": { "ascore": { "name": "美学分数" }, "clip": { "name": "clip" }, "height": { "name": "高度" }, "text": { "name": "文本" }, "width": { "name": "宽度" } } }, "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" } } }, "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" } } }, "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" } } }, "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" }, "1": { "name": "负面条件" } } }, "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" } } }, "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" }, "1": { "name": "负面条件" } } }, "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" }, "1": { "name": "负面条件" } } }, "ControlNetLoader": { "display_name": "加载ControlNet模型", "inputs": { "control_net_name": { "name": "ControlNet名称" } } }, "CosmosImageToVideoLatent": { "display_name": "Cosmos图像到视频潜在", "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" } } }, "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" } } }, "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" } } }, "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" } } }, "DiffusersLoader": { "display_name": "Diffusers加载器", "inputs": { "model_path": { "name": "模型路径" } } }, "DisableNoise": { "display_name": "禁用噪波" }, "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" } } }, "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" } } }, "EmptyCosmosLatentVideo": { "display_name": "空的Cosmos潜在视频", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "width": { "name": "宽度" } } }, "EmptyHunyuanLatentVideo": { "display_name": "空Latent视频（混元）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "length": { "name": "长度" }, "width": { "name": "宽度" } } }, "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" } } }, "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" } } }, "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" } } }, "EmptySD3LatentImage": { "display_name": "空Latent图像（SD3）", "inputs": { "batch_size": { "name": "批量大小" }, "height": { "name": "高度" }, "width": { "name": "宽度" } } }, "ExponentialScheduler": { "display_name": "Exponential调度器", "inputs": { "sigma_max": { "name": "最大Sigma" }, "sigma_min": { "name": "最新Sigma" }, "steps": { "name": "步数" } } }, "FeatherMask": { "display_name": "羽化遮罩", "inputs": { "bottom": { "name": "底" }, "left": { "name": "左" }, "mask": { "name": "遮罩" }, "right": { "name": "右" }, "top": { "name": "顶" } } }, "FlipSigmas": { "display_name": "翻转Sigma", "inputs": { "sigmas": { "name": "sigmas" } } }, "FluxDisableGuidance": { "description": "此节点完全禁用Flux和类似Flux模型上的指导嵌入", "display_name": "Flux禁用指导", "inputs": { "conditioning": { "name": "conditioning" } } }, "FluxGuidance": { "display_name": "Flux引导", "inputs": { "conditioning": { "name": "条件" }, "guidance": { "name": "引导" } } }, "FreeU": { "display_name": "FreeU", "inputs": { "b1": { "name": "b1" }, "b2": { "name": "b2" }, "model": { "name": "模型" }, "s1": { "name": "s1" }, "s2": { "name": "s2" } } }, "FreeU_V2": { "display_name": "FreeU_V2", "inputs": { "b1": { "name": "b1" }, "b2": { "name": "b2" }, "model": { "name": "模型" }, "s1": { "name": "s1" }, "s2": { "name": "s2" } } }, "GITSScheduler": { "display_name": "GITS调度器", "inputs": { "coeff": { "name": "系数" }, "denoise": { "name": "降噪" }, "steps": { "name": "步数" } } }, "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": "CLIPCLIP" }, "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" } } }, "GrowMask": { "display_name": "扩展遮罩", "inputs": { "expand": { "name": "扩展" }, "mask": { "name": "遮罩" }, "tapered_corners": { "name": "倒角" } } }, "HunyuanImageToVideo": { "display_name": "Hunyuan图像到视频", "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" }, "1": { "name": "潜在空间" } } }, "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" } } }, "HypernetworkLoader": { "display_name": "超网络加载器", "inputs": { "hypernetwork_name": { "name": "HyperNetwork名称" }, "model": { "name": "模型" }, "strength": { "name": "强度" } } }, "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" } } }, "ImageBlur": { "display_name": "模糊图像", "inputs": { "blur_radius": { "name": "模糊半径" }, "image": { "name": "图像" }, "sigma": { "name": "西格玛" } } }, "ImageColorToMask": { "display_name": "图像颜色到遮罩", "inputs": { "color": { "name": "颜色" }, "image": { "name": "图像" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "ImageScaleToTotalPixels": { "display_name": "缩放图像（像素）", "inputs": { "image": { "name": "图像" }, "megapixels": { "name": "像素数量" }, "upscale_method": { "name": "缩放算法" } } }, "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" } } }, "ImageToMask": { "display_name": "图像转换为遮罩", "inputs": { "channel": { "name": "通道" }, "image": { "name": "图像" } } }, "ImageUpscaleWithModel": { "display_name": "使用模型放大图像", "inputs": { "image": { "name": "图像" }, "upscale_model": { "name": "放大模型" } } }, "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" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "InvertMask": { "display_name": "反转遮罩", "inputs": { "mask": { "name": "遮罩" } } }, "JoinImageWithAlpha": { "display_name": "合并图像Alpha", "inputs": { "alpha": { "name": "阿尔法" }, "image": { "name": "图像" } } }, "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" } } }, "KarrasScheduler": { "display_name": "Karras调度器", "inputs": { "rho": { "name": "rho" }, "sigma_max": { "name": "sigma_max" }, "sigma_min": { "name": "sigma_min" }, "steps": { "name": "步数" } } }, "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" }, "1": { "name": "负向" }, "2": { "name": "潜在空间" } } }, "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" }, "1": { "name": "负面条件" } } }, "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" }, "1": { "name": "负向" }, "2": { "name": "潜在空间" } } }, "LTXVImgToVideo": { "display_name": "LTXV图像到视频", "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" }, "vae": { "name": "vae" }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "正面条件" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "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" } } }, "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。" } } }, "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" } } }, "LatentAdd": { "display_name": "Latent相加", "inputs": { "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } } }, "LatentApplyOperation": { "display_name": "Latent应用操作", "inputs": { "operation": { "name": "操作" }, "samples": { "name": "Latent" } } }, "LatentApplyOperationCFG": { "display_name": "Latent应用操作CFG", "inputs": { "model": { "name": "模型" }, "operation": { "name": "操作" } } }, "LatentBatch": { "display_name": "组合Latent批次", "inputs": { "samples1": { "name": "Latent1" }, "samples2": { "name": "Latent2" } } }, "LatentBatchSeedBehavior": { "display_name": "Latent批处理随机种行为", "inputs": { "samples": { "name": "Latent" }, "seed_behavior": { "name": "随机种行为" } } }, "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" } } }, "LatentCrop": { "display_name": "裁剪Latent", "inputs": { "height": { "name": "高度" }, "samples": { "name": "Latent" }, "width": { "name": "宽度" }, "x": { "name": "x" }, "y": { "name": "y" } } }, "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" } } }, "LatentMultiply": { "display_name": "Latent相乘", "inputs": { "multiplier": { "name": "乘数" }, "samples": { "name": "Latent" } } }, "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" } } }, "LatentOperationTonemapReinhard": { "display_name": "Latent操作色调映射Reinhard", "inputs": { "multiplier": { "name": "乘数" } } }, "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" } } }, "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" } } }, "Load3D": { "display_name": "加载3D", "inputs": { "clear": { }, "height": { "name": "高度" }, "image": { "name": "图像" }, "model_file": { "name": "模型文件" }, "upload 3d model": { }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "图像" }, "1": { "name": "遮罩" }, "2": { "name": "网格路径" } } }, "Load3DAnimation": { "display_name": "加载3D动画", "inputs": { "clear": { }, "height": { "name": "高度" }, "image": { "name": "图像" }, "model_file": { "name": "模型文件" }, "upload 3d model": { }, "width": { "name": "宽度" } }, "outputs": { "0": { "name": "图像" }, "1": { "name": "遮罩" }, "2": { "name": "网格路径" } } }, "LoadAudio": { "display_name": "加载音频", "inputs": { "audio": { "name": "音频" }, "upload": { "name": "选择文件上传" } } }, "LoadImage": { "display_name": "加载图像", "inputs": { "image": { "name": "图像" }, "upload": { "name": "选择文件上传" } } }, "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": { "image": { "name": "图像" }, "refresh": { }, "upload": { "name": "选择文件上传" } } }, "LoadLatent": { "display_name": "加载Latent", "inputs": { "latent": { "name": "Latent" } } }, "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": "CLIPCLIP", "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。" } } }, "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。" } } }, "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。" } } }, "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" } } }, "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" } } }, "MaskToImage": { "display_name": "遮罩转换为图像", "inputs": { "mask": { "name": "遮罩" } } }, "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": "ModelMergeCosmos14B", "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": "ModelMergeCosmos7B", "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." } } }, "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." } } }, "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" } } }, "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" } } }, "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" } } }, "Morphology": { "display_name": "图像形态学", "inputs": { "image": { "name": "图像" }, "kernel_size": { "name": "核心大小" }, "operation": { "name": "操作" } } }, "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" } } }, "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" } } }, "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" } } }, "PerturbedAttentionGuidance": { "display_name": "PAG注意力引导", "inputs": { "model": { "name": "模型" }, "scale": { "name": "规模" } } }, "PhotoMakerEncode": { "display_name": "PhotoMaker编码", "inputs": { "clip": { "name": "clip" }, "image": { "name": "图像" }, "photomaker": { "name": "photomaker" }, "text": { "name": "文本" } } }, "PhotoMakerLoader": { "display_name": "PhotoMaker加载器", "inputs": { "photomaker_model_name": { "name": "photomaker模型名称" } } }, "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" } } }, "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" } } }, "Preview3D": { "display_name": "预览3D", "inputs": { "image": { "name": "图像" }, "model_file": { "name": "模型文件" } } }, "Preview3DAnimation": { "display_name": "预览3D - 动画", "inputs": { "image": { "name": "图像" }, "model_file": { "name": "模型文件" } } }, "PreviewAudio": { "display_name": "预览音频", "inputs": { "audio": { "name": "音频" } } }, "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" } } }, "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" } } }, "RebatchImages": { "display_name": "重设图像批次", "inputs": { "batch_size": { "name": "批量大小" }, "images": { "name": "图像" } } }, "RebatchLatents": { "display_name": "重设Latent批次", "inputs": { "batch_size": { "name": "批量大小" }, "latents": { "name": "Latent因素" } } }, "RenormCFG": { "display_name": "RenormCFG", "inputs": { "cfg_trunc": { "name": "cfg_trunc" }, "model": { "name": "模型" }, "renorm_cfg": { "name": "renorm_cfg" } } }, "RepeatImageBatch": { "display_name": "复制图像批次", "inputs": { "amount": { "name": "数量" }, "image": { "name": "图像" } } }, "RepeatLatentBatch": { "display_name": "复制Latent批次", "inputs": { "amount": { "name": "数量" }, "samples": { "name": "Latent" } } }, "RescaleCFG": { "display_name": "缩放CFG", "inputs": { "model": { "name": "模型" }, "multiplier": { "name": "乘数" } } }, "SDTurboScheduler": { "display_name": "SDTurbo调度器", "inputs": { "denoise": { "name": "降噪" }, "model": { "name": "模型" }, "steps": { "name": "步数" } } }, "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" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "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" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "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" }, "1": { "name": "降噪Latent" } } }, "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" }, "1": { "name": "降噪Latent" } } }, "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" } } }, "SamplerDPMPP_2M_SDE": { "display_name": "DPMPP_2M_SDE采样器", "inputs": { "eta": { "name": "eta" }, "noise_device": { "name": "噪波设备" }, "s_noise": { "name": "s_noise" }, "solver_type": { "name": "求解器类型" } } }, "SamplerDPMPP_2S_Ancestral": { "display_name": "DPMPP_2S_Ancestral采样器", "inputs": { "eta": { "name": "eta" }, "s_noise": { "name": "s_noise" } } }, "SamplerDPMPP_3M_SDE": { "display_name": "DPMPP_3M_SDE采样器", "inputs": { "eta": { "name": "eta" }, "noise_device": { "name": "噪波设备" }, "s_noise": { "name": "s_noise" } } }, "SamplerDPMPP_SDE": { "display_name": "DPMPP_SDE采样器", "inputs": { "eta": { "name": "eta" }, "noise_device": { "name": "噪波设备" }, "r": { "name": "r" }, "s_noise": { "name": "s_noise" } } }, "SamplerEulerAncestral": { "display_name": "EulerAncestral采样器", "inputs": { "eta": { "name": "eta" }, "s_noise": { "name": "s噪波" } } }, "SamplerEulerAncestralCFGPP": { "display_name": "EulerAncestralCFG++采样器", "inputs": { "eta": { "name": "eta" }, "s_noise": { "name": "s噪波" } } }, "SamplerEulerCFGpp": { "display_name": "EuleCFG++采样器", "inputs": { "version": { "name": "版本" } } }, "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" } } }, "SamplerLMS": { "display_name": "LMS采样器", "inputs": { "order": { "name": "顺序" } } }, "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" }, "filename_prefix": { "name": "文件名前缀" } } }, "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。" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "SolidMask": { "display_name": "纯块遮罩", "inputs": { "height": { "name": "高度" }, "value": { "name": "明度" }, "width": { "name": "宽度" } } }, "SplitImageWithAlpha": { "display_name": "分离图像Alpha", "inputs": { "image": { "name": "图片" } } }, "SplitSigmas": { "display_name": "分离Sigma", "inputs": { "sigmas": { "name": "Sigmas" }, "step": { "name": "步数" } }, "outputs": { "0": { "name": "高方差" }, "1": { "name": "低方差" } } }, "SplitSigmasDenoise": { "display_name": "分离Sigma降噪", "inputs": { "denoise": { "name": "降噪" }, "sigmas": { "name": "Sigmas" } }, "outputs": { "0": { "name": "高方差" }, "1": { "name": "低方差" } } }, "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" }, "1": { "name": "阶段B" } } }, "StableCascade_StageB_Conditioning": { "display_name": "Stable Cascade_B阶段_条件", "inputs": { "conditioning": { "name": "条件" }, "stage_c": { "name": "阶段c" } } }, "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" }, "1": { "name": "阶段B" } } }, "StableCascade_SuperResolutionControlnet": { "display_name": "Stable Cascade_超分辨率ControlNet", "inputs": { "image": { "name": "图像" }, "vae": { "name": "vae" } }, "outputs": { "0": { "name": "ControlNet" }, "1": { "name": "阶段C" }, "2": { "name": "阶段B" } } }, "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" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "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" }, "1": { "name": "负面条件" }, "2": { "name": "Latent" } } }, "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" } } }, "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" } } }, "ThresholdMask": { "display_name": "遮罩阈值", "inputs": { "mask": { "name": "遮罩" }, "value": { "name": "值" } } }, "TomePatchModel": { "display_name": "Tome合并模型Token", "inputs": { "model": { "name": "模型" }, "ratio": { "name": "比率" } } }, "TorchCompileModel": { "display_name": "Torch编译模型", "inputs": { "backend": { "name": "后端" }, "model": { "name": "模型" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "UpscaleModelLoader": { "display_name": "加载放大模型", "inputs": { "model_name": { "name": "模型名称" } } }, "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" } } }, "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" } } }, "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" } } }, "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" } } }, "WanImageToVideo": { "display_name": "Wan图像到视频", "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" }, "1": { "name": "负面" }, "2": { "name": "潜在" } } }, "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" } } }, "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" } } } }