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ComfyUI_frontend/src/locales/zh/nodeDefs.json
Comfy Org PR Bot c7c513ae4a 1.30.3 (#6261) 
Patch version increment to 1.30.3

**Base branch:** `main`

┆Issue is synchronized with this [Notion
page](https://www.notion.so/PR-6261-1-30-3-2966d73d365081799d90f8510c7e23dc)
by [Unito](https://www.unito.io)

---------

Co-authored-by: simula-r <18093452+simula-r@users.noreply.github.com>
Co-authored-by: github-actions <github-actions@github.com>
2025-10-24 19:22:54 -07:00

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{
"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"
}
}
},
"CFGZeroStar": {
"display_name": "CFGZeroStar",
"inputs": {
"model": {
"name": "model"
}
},
"outputs": {
"0": {
"name": "patched_model"
}
}
},
"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"
}
}
},
"CLIPTextEncodeHiDream": {
"display_name": "CLIPTextEncodeHiDream",
"inputs": {
"clip": {
"name": "clip"
},
"clip_g": {
"name": "clip_g"
},
"clip_l": {
"name": "clip_l"
},
"llama": {
"name": "llama"
},
"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"
}
}
},
"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。"
}
}
},
"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"
}
}
},
"EmptyLatentHunyuan3Dv2": {
"display_name": "EmptyLatentHunyuan3Dv2",
"inputs": {
"batch_size": {
"name": "批量大小",
"tooltip": "批量中的潜在图像数量。"
},
"resolution": {
"name": "分辨率"
}
}
},
"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"
}
}
},
"ExtendIntermediateSigmas": {
"display_name": "ExtendIntermediateSigmas",
"inputs": {
"end_at_sigma": {
"name": "结束 sigma"
},
"sigmas": {
"name": "sigmas"
},
"spacing": {
"name": "间距"
},
"start_at_sigma": {
"name": "起始 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"
}
}
},
"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"
}
}
},
"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": "mask"
},
"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"
}
}
},
"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。"
}
}
},
"FreSca": {
"description": "对引导应用频率相关的缩放",
"display_name": "FreSca",
"inputs": {
"freq_cutoff": {
"name": "freq_cutoff",
"tooltip": "围绕中心被视为低频的频率索引数量"
},
"model": {
"name": "model"
},
"scale_high": {
"name": "scale_high",
"tooltip": "高频分量的缩放因子"
},
"scale_low": {
"name": "scale_low",
"tooltip": "低频分量的缩放因子"
}
}
},
"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"
}
}
},
"GetVideoComponents": {
"description": "提取视频中的所有组件：帧、音频和帧率。",
"display_name": "获取视频组件",
"inputs": {
"video": {
"name": "视频",
"tooltip": "要提取组件的视频。"
}
},
"outputs": {
"0": {
"name": "图像"
},
"1": {
"name": "音频"
},
"2": {
"name": "帧率"
}
}
},
"GrowMask": {
"display_name": "扩展遮罩",
"inputs": {
"expand": {
"name": "扩展"
},
"mask": {
"name": "遮罩"
},
"tapered_corners": {
"name": "倒角"
}
}
},
"Hunyuan3Dv2Conditioning": {
"display_name": "Hunyuan3Dv2Conditioning",
"inputs": {
"clip_vision_output": {
"name": "clip视觉输出"
}
},
"outputs": {
"0": {
"name": "正向"
},
"1": {
"name": "反向"
}
}
},
"Hunyuan3Dv2ConditioningMultiView": {
"display_name": "Hunyuan3Dv2ConditioningMultiView",
"inputs": {
"back": {
"name": "后"
},
"front": {
"name": "前"
},
"left": {
"name": "左"
},
"right": {
"name": "右"
}
},
"outputs": {
"0": {
"name": "正向"
},
"1": {
"name": "反向"
}
}
},
"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"
}
}
},
"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": "aspect_ratio",
"tooltip": "图像生成的宽高比。"
},
"control_after_generate": {
"name": "control after generate"
},
"magic_prompt_option": {
"name": "magic_prompt_option",
"tooltip": "确定生成时是否使用 MagicPrompt"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "描述需要从图像中排除的内容"
},
"num_images": {
"name": "num_images"
},
"prompt": {
"name": "prompt",
"tooltip": "用于图像生成的提示词"
},
"seed": {
"name": "seed"
},
"turbo": {
"name": "turbo",
"tooltip": "是否启用 turbo 模式（生成更快，但可能质量较低）"
}
}
},
"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": "aspect_ratio",
"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": "control after generate"
},
"magic_prompt_option": {
"name": "magic_prompt_option",
"tooltip": "确定生成时是否使用 MagicPrompt"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "描述图像中需要排除的内容"
},
"num_images": {
"name": "num_images"
},
"prompt": {
"name": "prompt",
"tooltip": "用于图像生成的提示词"
},
"resolution": {
"name": "resolution",
"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": "seed"
},
"style_type": {
"name": "style_type",
"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）"
}
}
},
"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": "aspect_ratio",
"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。"
},
"control_after_generate": {
"name": "control after generate"
},
"image": {
"name": "image",
"tooltip": "用于图像编辑的可选参考图片。"
},
"magic_prompt_option": {
"name": "magic_prompt_option",
"tooltip": "决定生成时是否使用 MagicPrompt"
},
"mask": {
"name": "mask",
"tooltip": "用于修复的可选 mask（白色区域将被替换）"
},
"num_images": {
"name": "num_images"
},
"prompt": {
"name": "prompt",
"tooltip": "用于图像生成或编辑的提示词"
},
"rendering_speed": {
"name": "rendering_speed",
"tooltip": "控制生成速度与质量之间的权衡"
},
"resolution": {
"name": "resolution",
"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": "seed"
}
}
},
"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"
}
}
},
"ImageRGBToYUV": {
"display_name": "ImageRGBToYUV",
"inputs": {
"image": {
"name": "图像"
}
},
"outputs": {
"0": {
"name": "Y"
},
"1": {
"name": "U"
},
"2": {
"name": "V"
}
}
},
"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"
}
}
},
"ImageYUVToRGB": {
"display_name": "ImageYUVToRGB",
"inputs": {
"U": {
"name": "U"
},
"V": {
"name": "V"
},
"Y": {
"name": "Y"
}
}
},
"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"
}
}
},
"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": "aspect_ratio"
},
"camera_control": {
"name": "camera_control",
"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_scale"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "反向文本提示"
},
"prompt": {
"name": "prompt",
"tooltip": "正向文本提示"
},
"start_frame": {
"name": "start_frame",
"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": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"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": "aspect_ratio"
},
"camera_control": {
"name": "camera_control",
"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_scale"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "反向文本提示"
},
"prompt": {
"name": "prompt",
"tooltip": "正向文本提示"
}
},
"outputs": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"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": "camera_control_type"
},
"horizontal_movement": {
"name": "horizontal_movement",
"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": "pan",
"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": "roll",
"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": "tilt",
"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": "vertical_movement",
"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": "zoom",
"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": "camera_control"
}
}
},
"KlingDualCharacterVideoEffectNode": {
"description": "根据 effect_scene 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": "duration"
},
"effect_scene": {
"name": "effect_scene"
},
"image_left": {
"name": "image_left",
"tooltip": "左侧图片"
},
"image_right": {
"name": "image_right",
"tooltip": "右侧图片"
},
"mode": {
"name": "mode"
},
"model_name": {
"name": "model_name"
}
},
"outputs": {
"1": {
"name": "duration"
}
}
},
"KlingImage2VideoNode": {
"description": "Kling 图像转视频节点",
"display_name": "Kling 图像转视频",
"inputs": {
"aspect_ratio": {
"name": "aspect_ratio"
},
"cfg_scale": {
"name": "cfg_scale"
},
"duration": {
"name": "duration"
},
"mode": {
"name": "mode"
},
"model_name": {
"name": "model_name"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "反向文本提示"
},
"prompt": {
"name": "prompt",
"tooltip": "正向文本提示"
},
"start_frame": {
"name": "start_frame",
"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": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"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": "aspect_ratio"
},
"human_fidelity": {
"name": "human_fidelity",
"tooltip": "主体参考相似度"
},
"image": {
"name": "image"
},
"image_fidelity": {
"name": "image_fidelity",
"tooltip": "用户上传图像的参考强度"
},
"image_type": {
"name": "image_type"
},
"model_name": {
"name": "model_name"
},
"n": {
"name": "n",
"tooltip": "生成图像数量"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "反向文本提示"
},
"prompt": {
"name": "prompt",
"tooltip": "正向文本提示"
}
}
},
"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": {
"1": {
"name": "视频ID"
},
"2": {
"name": "时长"
}
}
},
"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": {
"1": {
"name": "视频ID"
},
"2": {
"name": "时长"
}
}
},
"KlingSingleImageVideoEffectNode": {
"description": "根据 effect_scene 在生成视频时实现不同的特效。",
"display_name": "Kling 视频特效",
"inputs": {
"duration": {
"name": "duration"
},
"effect_scene": {
"name": "effect_scene"
},
"image": {
"name": "image",
"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": "model_name"
}
},
"outputs": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"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": "aspect_ratio"
},
"cfg_scale": {
"name": "cfg_scale"
},
"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": "mode",
"tooltip": "用于视频生成的配置，格式为：mode / duration / model_name。"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "反向文本提示"
},
"prompt": {
"name": "prompt",
"tooltip": "正向文本提示"
},
"start_frame": {
"name": "start_frame",
"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": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"KlingTextToVideoNode": {
"description": "Kling 文本转视频节点",
"display_name": "Kling 文本转视频",
"inputs": {
"aspect_ratio": {
"name": "aspect_ratio"
},
"cfg_scale": {
"name": "cfg_scale"
},
"mode": {
"name": "mode",
"tooltip": "用于视频生成的配置，格式为：mode / duration / model_name。"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "反向文本提示"
},
"prompt": {
"name": "prompt",
"tooltip": "正向文本提示"
}
},
"outputs": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"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_scale"
},
"negative_prompt": {
"name": "negative_prompt",
"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": "prompt",
"tooltip": "用于引导视频扩展的正向文本提示"
},
"video_id": {
"name": "video_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": {
"1": {
"name": "video_id"
},
"2": {
"name": "duration"
}
}
},
"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": "cloth_image"
},
"human_image": {
"name": "human_image"
},
"model_name": {
"name": "model_name"
}
}
},
"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"
},
"strength": {
"name": "强度"
},
"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": "image"
},
"1": {
"name": "mask"
},
"2": {
"name": "mesh_path"
},
"3": {
"name": "normal"
},
"4": {
"name": "lineart"
},
"5": {
"name": "camera_info"
}
}
},
"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": "mesh_path"
},
"3": {
"name": "法线"
},
"4": {
"name": "相机信息"
}
}
},
"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"
}
}
},
"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"
}
}
},
"LoadVideo": {
"display_name": "加载视频",
"inputs": {
"file": {
"name": "文件"
},
"upload": {
"name": "选择要上传的文件"
}
}
},
"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。"
}
}
},
"LotusConditioning": {
"display_name": "LotusConditioning",
"outputs": {
"0": {
"name": "条件"
}
}
},
"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": "concept1"
},
"concept2": {
"name": "concept2"
},
"concept3": {
"name": "concept3"
},
"concept4": {
"name": "concept4"
},
"luma_concepts": {
"name": "luma_concepts",
"tooltip": "可选的相机概念，将添加到此处选择的概念中。"
}
},
"outputs": {
"0": {
"name": "luma_concepts"
}
}
},
"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": "control after generate"
},
"image": {
"name": "image"
},
"image_weight": {
"name": "image_weight",
"tooltip": "图像权重；越接近 1.0，图像被修改的程度越小。"
},
"model": {
"name": "model"
},
"prompt": {
"name": "prompt",
"tooltip": "用于图像生成的提示词"
},
"seed": {
"name": "seed",
"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。"
}
}
},
"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。"
}
}
},
"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_concepts",
"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。"
}
}
},
"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_ref"
},
"weight": {
"name": "权重",
"tooltip": "图片参考的权重。"
}
},
"outputs": {
"0": {
"name": "luma_ref"
}
}
},
"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_concepts",
"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。"
}
}
},
"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"
}
}
},
"MaskPreview": {
"description": "将输入图像保存到您的 ComfyUI 输出目录。",
"display_name": "MaskPreview",
"inputs": {
"mask": {
"name": "mask"
}
}
},
"MaskToImage": {
"display_name": "遮罩转换为图像",
"inputs": {
"mask": {
"name": "遮罩"
}
}
},
"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": "control after generate"
},
"image": {
"name": "image",
"tooltip": "用于视频生成首帧的图像"
},
"model": {
"name": "model",
"tooltip": "用于视频生成的模型"
},
"prompt_text": {
"name": "prompt_text",
"tooltip": "用于引导视频生成的文本提示"
},
"seed": {
"name": "seed",
"tooltip": "用于生成噪声的随机种子。"
}
}
},
"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": "control after generate"
},
"model": {
"name": "model",
"tooltip": "用于视频生成的模型"
},
"prompt_text": {
"name": "prompt_text",
"tooltip": "用于引导视频生成的文本提示"
},
"seed": {
"name": "seed",
"tooltip": "用于生成噪声的随机种子。"
}
}
},
"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"
}
}
},
"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": "ModelMergeWAN2_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": "model1"
},
"model2": {
"name": "model2"
},
"patch_embedding_": {
"name": "patch_embedding."
},
"text_embedding_": {
"name": "text_embedding."
},
"time_embedding_": {
"name": "time_embedding."
},
"time_projection_": {
"name": "time_projection."
}
}
},
"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"
}
}
},
"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"
}
}
},
"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。"
}
}
},
"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": "mask",
"tooltip": "用于修复的可选 mask（白色区域将被替换）"
},
"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"
}
}
},
"OptimalStepsScheduler": {
"display_name": "OptimalStepsScheduler",
"inputs": {
"denoise": {
"name": "去噪"
},
"model_type": {
"name": "model_type"
},
"steps": {
"name": "步数"
}
}
},
"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"
}
}
},
"PikaImageToVideoNode2_2": {
"description": "将图像和提示词发送到 Pika API v2.2 以生成视频。",
"display_name": "Pika 图像转视频",
"inputs": {
"control_after_generate": {
"name": "生成后控制"
},
"duration": {
"name": "时长"
},
"image": {
"name": "图像",
"tooltip": "要转换为视频的图像"
},
"negative_prompt": {
"name": "反向提示词"
},
"prompt_text": {
"name": "提示词"
},
"resolution": {
"name": "分辨率"
},
"seed": {
"name": "种子"
}
}
},
"PikaScenesV2_2": {
"description": "将你的图像组合在一起，生成包含所有物体的高质量视频。上传多张图片作为素材，生成融合所有内容的视频。",
"display_name": "Pika 场景（视频图像合成）",
"inputs": {
"aspect_ratio": {
"name": "宽高比",
"tooltip": "宽高比（宽 / 高）"
},
"control_after_generate": {
"name": "生成后控制"
},
"duration": {
"name": "时长"
},
"image_ingredient_1": {
"name": "图片素材 1",
"tooltip": "用于生成视频的图片素材。"
},
"image_ingredient_2": {
"name": "图片素材 2",
"tooltip": "用于生成视频的图片素材。"
},
"image_ingredient_3": {
"name": "图片素材 3",
"tooltip": "用于生成视频的图片素材。"
},
"image_ingredient_4": {
"name": "图片素材 4",
"tooltip": "用于生成视频的图片素材。"
},
"image_ingredient_5": {
"name": "图片素材 5",
"tooltip": "用于生成视频的图片素材。"
},
"ingredients_mode": {
"name": "素材模式"
},
"negative_prompt": {
"name": "反向提示词"
},
"prompt_text": {
"name": "提示词"
},
"resolution": {
"name": "分辨率"
},
"seed": {
"name": "随机种子"
}
}
},
"PikaStartEndFrameNode2_2": {
"description": "通过合成首帧和尾帧生成视频。上传两张图片以定义起点和终点，让 AI 在它们之间创建平滑过渡。",
"display_name": "Pika 首尾帧合成视频",
"inputs": {
"control_after_generate": {
"name": "生成后控制"
},
"duration": {
"name": "duration"
},
"image_end": {
"name": "image_end",
"tooltip": "要合成的最后一张图片。"
},
"image_start": {
"name": "image_start",
"tooltip": "要合成的第一张图片。"
},
"negative_prompt": {
"name": "negative_prompt"
},
"prompt_text": {
"name": "prompt_text"
},
"resolution": {
"name": "resolution"
},
"seed": {
"name": "seed"
}
}
},
"PikaTextToVideoNode2_2": {
"description": "将文本提示发送到 Pika API v2.2 以生成视频。",
"display_name": "Pika 文本转视频",
"inputs": {
"aspect_ratio": {
"name": "宽高比",
"tooltip": "宽高比（宽 / 高）"
},
"control_after_generate": {
"name": "生成后控制"
},
"duration": {
"name": "时长"
},
"negative_prompt": {
"name": "反向提示"
},
"prompt_text": {
"name": "提示文本"
},
"resolution": {
"name": "分辨率"
},
"seed": {
"name": "种子"
}
}
},
"Pikadditions": {
"description": "将任意对象或图像添加到你的视频中。上传一个视频并指定你想要添加的内容，实现无缝集成的效果。",
"display_name": "Pikadditions（视频对象插入）",
"inputs": {
"control_after_generate": {
"name": "生成后控制"
},
"image": {
"name": "图像",
"tooltip": "要添加到视频中的图像。"
},
"negative_prompt": {
"name": "反向提示词"
},
"prompt_text": {
"name": "提示词"
},
"seed": {
"name": "种子"
},
"video": {
"name": "视频",
"tooltip": "要添加图像的视频。"
}
}
},
"Pikaffects": {
"description": "生成带有特定Pikaffect的视频。支持的Pikaffect有：Cake-ify、Crumble、Crush、Decapitate、Deflate、Dissolve、Explode、Eye-pop、Inflate、Levitate、Melt、Peel、Poke、Squish、Ta-da、Tear",
"display_name": "Pikaffects（视频特效）",
"inputs": {
"control_after_generate": {
"name": "生成后控制"
},
"image": {
"name": "image",
"tooltip": "要应用Pikaffect的参考图像。"
},
"negative_prompt": {
"name": "negative_prompt"
},
"pikaffect": {
"name": "pikaffect"
},
"prompt_text": {
"name": "prompt_text"
},
"seed": {
"name": "seed"
}
}
},
"Pikaswaps": {
"description": "用新图像或对象替换视频中的任意对象或区域。可通过 mask 或坐标定义需要替换的区域。",
"display_name": "Pika Swaps（视频对象替换）",
"inputs": {
"control_after_generate": {
"name": "生成后控制"
},
"image": {
"name": "图像",
"tooltip": "用于替换视频中被 mask 的对象的图像。"
},
"mask": {
"name": "mask",
"tooltip": "使用 mask 定义视频中需要替换的区域"
},
"negative_prompt": {
"name": "反向提示词"
},
"prompt_text": {
"name": "提示词"
},
"seed": {
"name": "种子"
},
"video": {
"name": "视频",
"tooltip": "要在其中替换对象的视频。"
}
}
},
"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。"
}
}
},
"PixverseTemplateNode": {
"display_name": "PixVerse 模板",
"inputs": {
"template": {
"name": "模板"
}
},
"outputs": {
"0": {
"name": "pixverse_template"
}
}
},
"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。"
}
}
},
"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。"
}
}
},
"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": {
"camera_info": {
"name": "相机信息"
},
"image": {
"name": "图像"
},
"model_file": {
"name": "模型文件"
}
}
},
"Preview3DAnimation": {
"display_name": "预览3D - 动画",
"inputs": {
"camera_info": {
"name": "相机信息"
},
"image": {
"name": "图像"
},
"model_file": {
"name": "模型文件"
}
}
},
"PreviewAny": {
"display_name": "预览任意",
"inputs": {
"preview": {
},
"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"
}
}
},
"PrimitiveFloat": {
"display_name": "浮点数",
"inputs": {
"value": {
"name": "值"
}
}
},
"PrimitiveInt": {
"display_name": "整数",
"inputs": {
"control_after_generate": {
"name": "生成后控制"
},
"value": {
"name": "数值"
}
}
},
"PrimitiveString": {
"display_name": "字符串",
"inputs": {
"value": {
"name": "值"
}
}
},
"PrimitiveStringMultiline": {
"display_name": "字符串（多行）",
"inputs": {
"value": {
"name": "值"
}
}
},
"QuadrupleCLIPLoader": {
"description": "[配方]\n\nhidream: long clip-l, long clip-g, t5xxl, llama_8b_3.1_instruct",
"display_name": "QuadrupleCLIPLoader",
"inputs": {
"clip_name1": {
"name": "clip_name1"
},
"clip_name2": {
"name": "clip_name2"
},
"clip_name3": {
"name": "clip_name3"
},
"clip_name4": {
"name": "clip_name4"
}
}
},
"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"
}
}
},
"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_color"
}
},
"outputs": {
"0": {
"name": "recraft_color"
}
}
},
"RecraftControls": {
"description": "创建 Recraft 控件以自定义 Recraft 生成。",
"display_name": "Recraft 控件",
"inputs": {
"background_color": {
"name": "background_color"
},
"colors": {
"name": "colors"
}
},
"outputs": {
"0": {
"name": "recraft_controls"
}
}
},
"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"
}
}
},
"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"
}
}
},
"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": "image"
},
"mask": {
"name": "mask"
},
"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_style"
},
"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。"
}
}
},
"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": "image"
},
"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_controls",
"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_style"
},
"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。"
}
}
},
"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"
}
}
},
"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。"
}
}
},
"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_style"
}
}
},
"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": "style_id",
"tooltip": "来自无限风格库的风格 UUID。"
}
},
"outputs": {
"0": {
"name": "recraft_style"
}
}
},
"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_style"
}
}
},
"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_style"
}
}
},
"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": "control after generate"
},
"n": {
"name": "n",
"tooltip": "要生成的图像数量。"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "对图像中不希望出现元素的可选文本描述。"
},
"prompt": {
"name": "prompt",
"tooltip": "用于图像生成的提示词。"
},
"recraft_controls": {
"name": "recraft_controls",
"tooltip": "通过 Recraft Controls 节点对生成过程的可选附加控制。"
},
"recraft_style": {
"name": "recraft_style"
},
"seed": {
"name": "seed",
"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": "size",
"tooltip": "生成图像的尺寸。"
}
}
},
"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"
}
}
},
"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"
}
}
},
"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"
},
"audioUI": {
"name": "音频UI"
},
"filename_prefix": {
"name": "文件名前缀"
}
}
},
"SaveGLB": {
"display_name": "SaveGLB",
"inputs": {
"filename_prefix": {
"name": "文件名前缀"
},
"image": {
"name": "图像"
},
"mesh": {
"name": "网格"
}
}
},
"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"
}
}
},
"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"
}
}
},
"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"
}
}
},
"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": "aspect_ratio",
"tooltip": "生成图像的宽高比。"
},
"cfg_scale": {
"name": "cfg_scale",
"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": "control after generate"
},
"image": {
"name": "image"
},
"image_denoise": {
"name": "image_denoise",
"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": "model"
},
"negative_prompt": {
"name": "negative_prompt",
"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": "prompt",
"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": "seed",
"tooltip": "用于生成噪声的随机种子。"
},
"style_preset": {
"name": "style_preset",
"tooltip": "可选，生成图像的期望风格。"
}
}
},
"StabilityStableImageUltraNode": {
"description": "根据提示词和分辨率同步生成图像。",
"display_name": "Stability AI Stable Image Ultra",
"inputs": {
"aspect_ratio": {
"name": "aspect_ratio",
"tooltip": "生成图像的宽高比。"
},
"control_after_generate": {
"name": "control after generate"
},
"image": {
"name": "image"
},
"image_denoise": {
"name": "image_denoise",
"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": "negative_prompt",
"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": "prompt",
"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": "seed",
"tooltip": "用于生成噪声的随机种子。"
},
"style_preset": {
"name": "style_preset",
"tooltip": "可选的生成图像风格。"
}
}
},
"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": "image"
},
"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。"
}
}
},
"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。"
}
}
},
"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"
}
}
},
"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"
}
}
},
"T5TokenizerOptions": {
"display_name": "T5TokenizerOptions",
"inputs": {
"clip": {
"name": "clip"
},
"min_length": {
"name": "最小长度"
},
"min_padding": {
"name": "最小填充"
}
}
},
"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"
}
}
},
"TrimVideoLatent": {
"display_name": "TrimVideoLatent",
"inputs": {
"samples": {
"name": "samples"
},
"trim_amount": {
"name": "trim_amount"
}
}
},
"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"
}
}
},
"VAEDecodeHunyuan3D": {
"display_name": "VAEDecodeHunyuan3D",
"inputs": {
"num_chunks": {
"name": "块数"
},
"octree_resolution": {
"name": "八叉树分辨率"
},
"samples": {
"name": "样本"
},
"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"
}
}
},
"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": "aspect_ratio",
"tooltip": "输出视频的宽高比"
},
"control_after_generate": {
"name": "control after generate"
},
"duration_seconds": {
"name": "duration_seconds",
"tooltip": "输出视频的时长（秒）"
},
"enhance_prompt": {
"name": "enhance_prompt",
"tooltip": "是否使用 AI 辅助增强提示词"
},
"image": {
"name": "image",
"tooltip": "可选的参考图像，用于引导视频生成"
},
"negative_prompt": {
"name": "negative_prompt",
"tooltip": "用于指导视频中应避免内容的负面文本提示"
},
"person_generation": {
"name": "person_generation",
"tooltip": "是否允许在视频中生成人物"
},
"prompt": {
"name": "prompt",
"tooltip": "视频的文本描述"
},
"seed": {
"name": "seed",
"tooltip": "视频生成的种子（0 表示随机）"
}
}
},
"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"
}
}
},
"VoxelToMesh": {
"display_name": "VoxelToMesh",
"inputs": {
"algorithm": {
"name": "算法"
},
"threshold": {
"name": "阈值"
},
"voxel": {
"name": "voxel"
}
}
},
"VoxelToMeshBasic": {
"display_name": "VoxelToMeshBasic",
"inputs": {
"threshold": {
"name": "阈值"
},
"voxel": {
"name": "体素"
}
}
},
"WanFirstLastFrameToVideo": {
"display_name": "WanFirstLastFrameToVideo",
"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"
},
"1": {
"name": "负向"
},
"2": {
"name": "latent"
}
}
},
"WanFunControlToVideo": {
"display_name": "WanFunControlToVideo",
"inputs": {
"batch_size": {
"name": "批量大小"
},
"clip_vision_output": {
"name": "clip_vision_output"
},
"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"
},
"1": {
"name": "负向"
},
"2": {
"name": "latent"
}
}
},
"WanFunInpaintToVideo": {
"display_name": "WanFunInpaintToVideo",
"inputs": {
"batch_size": {
"name": "批量大小"
},
"clip_vision_output": {
"name": "clip_vision_output"
},
"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"
},
"1": {
"name": "负向"
},
"2": {
"name": "latent"
}
}
},
"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"
}
}
},
"WanVaceToVideo": {
"display_name": "WanVaceToVideo",
"inputs": {
"batch_size": {
"name": "批量大小"
},
"control_masks": {
"name": "控制mask"
},
"control_video": {
"name": "控制视频"
},
"height": {
"name": "高度"
},
"length": {
"name": "长度"
},
"negative": {
"name": "负向"
},
"positive": {
"name": "正向"
},
"reference_image": {
"name": "参考图像"
},
"strength": {
"name": "强度"
},
"vae": {
"name": "vae"
},
"width": {
"name": "宽度"
}
},
"outputs": {
"0": {
"name": "正向"
},
"1": {
"name": "负向"
},
"2": {
"name": "latent"
},
"3": {
"name": "裁剪latent"
}
}
},
"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"
}
}
}
}
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