[{"data":1,"prerenderedAt":625},["ShallowReactive",2],{"content-/zh/basic-tutorial/text-to-image-workflow":3},{"id":4,"title":5,"body":6,"description":617,"extension":618,"meta":619,"navigation":620,"path":621,"seo":622,"stem":623,"__hash__":624},"content/zh/basic-tutorial/text-to-image-workflow.md","ComfyUI 教程：生成你的第一张图片 & 理解核心节点",{"type":7,"value":8,"toc":597},"minimark",[9,13,26,29,34,41,46,56,63,65,69,76,81,106,112,118,140,146,148,152,170,177,179,183,186,200,202,205,225,227,230,236,243,263,270,272,275,395,397,401,445,447,451,456,467,471,485,489,506,510,518,522,534,538,552,554,558,569,577,589],[10,11,5],"h1",{"id":12},"comfyui-教程生成你的第一张图片-理解核心节点",[14,15,16,17,21,22,25],"p",{},"本篇教程将带你",[18,19,20],"strong",{},"在 ComfyUI 中生成第一张 AI 图像","，并搞懂支撑所有工作流的",[18,23,24],{},"核心节点","。学完之后，你将能够自己定制流程，并稳定复现想要的效果。",[27,28],"hr",{},[30,31,33],"h2",{"id":32},"第-1-步加载文生图工作流","第 1 步：加载文生图工作流",[14,35,36,37,40],{},"在新版 ComfyUI 中，你可以直接使用",[18,38,39],{},"内置模板","快速开始：",[14,42,43],{},[18,44,45],{},"Template → Getting Started → Text-to-Image Workflow (New)",[47,48,49],"blockquote",{},[14,50,51,52,55],{},"小提示：如果找不到这个模板，请把 ComfyUI 更新到最新版。\n你也可以使用紫色的 ",[18,53,54],{},"图生图（Image-to-Image）"," 模板，操作步骤基本一致。",[14,57,58],{},[59,60],"img",{"alt":61,"src":62},"templates","/images/tutorial/templates.png",[27,64],{},[30,66,68],{"id":67},"第-2-步解决缺失模型报错","第 2 步：解决缺失模型报错",[14,70,71,72,75],{},"第一次打开时，ComfyUI 几乎都会出现 ",[18,73,74],{},"“缺失模型”"," 的报错。这是正常现象，因为软件本身不自带模型。",[14,77,78],{},[18,79,80],{},"解决方法：",[82,83,84,92,103],"ol",{},[85,86,87,88,91],"li",{},"点击缺失模型旁边的 ",[18,89,90],{},"Download"," 按钮。",[85,93,94,95,98,99,102],{},"如果你的显卡 ",[18,96,97],{},"显存 ≤ 8GB","，请使用 ",[18,100,101],{},"FP8 版本模型","（后面会详细介绍）。",[85,104,105],{},"等待 ComfyUI 自动下载所需文件。",[14,107,108],{},[59,109],{"alt":110,"src":111},"missing-model-error","/images/tutorial/missing-model-error.png",[14,113,114,117],{},[18,115,116],{},"注意：","\n如果自动下载失败，请手动把模型放到对应文件夹：",[119,120,121,128,134],"ul",{},[85,122,123,124],{},"Diffusion 模型 → ",[125,126,127],"code",{},"ComfyUI/models/diffusion",[85,129,130,131],{},"CLIP 模型 → ",[125,132,133],{},"ComfyUI/models/clip",[85,135,136,137],{},"VAE 模型 → ",[125,138,139],{},"ComfyUI/models/vae",[14,141,142],{},[59,143],{"alt":144,"src":145},"download-models","/images/tutorial/t2i.png",[27,147],{},[30,149,151],{"id":150},"第-3-步运行工作流","第 3 步：运行工作流",[82,153,154,160,165],{},[85,155,156,157],{},"选择 ",[18,158,159],{},"Diffusion 模型",[85,161,156,162],{},[18,163,164],{},"VAE 模型",[85,166,156,167],{},[18,168,169],{},"CLIP 模型",[14,171,172,173,176],{},"点击",[18,174,175],{},"蓝色的 Run（运行）按钮","，生成你的第一张图片。",[27,178],{},[30,180,182],{"id":181},"第-4-步查看生成的图片","第 4 步：查看生成的图片",[14,184,185],{},"ComfyUI 会自动在两个位置保存图片：",[119,187,188,194],{},[85,189,190,191],{},"左侧导航栏的 ",[18,192,193],{},"Assets 面板",[85,195,196,197],{},"本地文件夹：",[125,198,199],{},"ComfyUI/output",[27,201],{},[30,203,204],{"id":204},"新手快速小贴士",[119,206,207,213,219],{},[85,208,209,212],{},[18,210,211],{},"运行按钮灰色不可点","：检查是否已加载所有必需模型，且没有红色报错。",[85,214,215,218],{},[18,216,217],{},"生成速度","：NVIDIA 显卡 + CUDA 最快；AMD 显卡需要配置 ROCm；纯 CPU 运行非常慢。",[85,220,221,224],{},[18,222,223],{},"FP8 模型","：低显存显卡强烈推荐，能大幅降低显存占用，画质损失很小。",[27,226],{},[10,228,229],{"id":229},"理解核心节点",[14,231,232,233,235],{},"当你成功生成第一张图后，我们来认识一下 ",[18,234,24],{}," 及其作用。",[14,237,238,239,242],{},"节点就是画布上的",[18,240,241],{},"矩形模块","，每个节点包含：",[119,244,245,251,257],{},[85,246,247,250],{},[18,248,249],{},"输入（Inputs）","：数据或参数（提示词、模型、向量等）",[85,252,253,256],{},[18,254,255],{},"输出（Outputs）","：处理后传给下一个节点的数据",[85,258,259,262],{},[18,260,261],{},"参数（Parameters）","：分辨率、CFG 等设置",[14,264,265,266,269],{},"节点之间用彩色连线连接，形成一条完整的",[18,267,268],{},"生成流水线","。",[27,271],{},[30,273,274],{"id":274},"核心节点及其功能",[276,277,278,291],"table",{},[279,280,281],"thead",{},[282,283,284,288],"tr",{},[285,286,287],"th",{},"节点名称",[285,289,290],{},"功能",[292,293,294,305,315,325,335,345,355,365,375,385],"tbody",{},[282,295,296,302],{},[297,298,299],"td",{},[18,300,301],{},"Load Diffusion Model",[297,303,304],{},"加载主模型（Diffusion），负责图像生成",[282,306,307,312],{},[297,308,309],{},[18,310,311],{},"Load CLIP Model",[297,313,314],{},"加载 CLIP 文本编码器，将提示词转为向量",[282,316,317,322],{},[297,318,319],{},[18,320,321],{},"Load VAE Model",[297,323,324],{},"加载 VAE 解码器，将隐空间向量转为可见图像",[282,326,327,332],{},[297,328,329],{},[18,330,331],{},"EmptySD3LatentImage",[297,333,334],{},"创建空白隐空间画布，可设置宽度/高度",[282,336,337,342],{},[297,338,339],{},[18,340,341],{},"CLIP Text Encoder (Prompt)",[297,343,344],{},"将自然语言提示词转为模型可识别的数值向量",[282,346,347,352],{},[297,348,349],{},[18,350,351],{},"Conditioning ZeroOut",[297,353,354],{},"提供空的负面提示词输入（按需使用）",[282,356,357,362],{},[297,358,359],{},[18,360,361],{},"ModelSamplingAuraFlow",[297,363,364],{},"基于 AuraFlow 算法的采样器",[282,366,367,372],{},[297,368,369],{},[18,370,371],{},"KSampler",[297,373,374],{},"执行扩散采样过程，生成图像向量",[282,376,377,382],{},[297,378,379],{},[18,380,381],{},"VAE Decoder",[297,383,384],{},"将隐空间向量解码为图像",[282,386,387,392],{},[297,388,389],{},[18,390,391],{},"Save Images",[297,393,394],{},"将最终图片保存到本地",[27,396],{},[30,398,400],{"id":399},"节点协同工作流程简化版","节点协同工作流程（简化版）",[82,402,403,408,413,418,424,430,435,440],{},[85,404,405,407],{},[18,406,301],{}," 提供主模型",[85,409,410,412],{},[18,411,311],{}," 提供文本编码器",[85,414,415,417],{},[18,416,321],{}," 提供图像解码器",[85,419,420,423],{},[18,421,422],{},"CLIP Text Encoder"," 将提示词转为向量",[85,425,426,429],{},[18,427,428],{},"Empty Latent Image"," 创建空白画布",[85,431,432,434],{},[18,433,371],{}," 生成隐空间图像向量",[85,436,437,439],{},[18,438,381],{}," 将向量转为真实图片",[85,441,442,444],{},[18,443,391],{}," 保存到本地",[27,446],{},[30,448,450],{"id":449},"深入理解ksampler-节点","深入理解：KSampler 节点",[452,453,455],"h3",{"id":454},"seed随机种子","Seed（随机种子）",[119,457,458,461,464],{},[85,459,460],{},"决定初始噪声",[85,462,463],{},"相同种子 → 可复现完全一样的图片",[85,465,466],{},"递增/递减 → 生成细微变化的风格图",[452,468,470],{"id":469},"steps步数","Steps（步数）",[119,472,473,476,479,482],{},[85,474,475],{},"图像生成的迭代次数",[85,477,478],{},"步数越高 → 细节越多，速度越慢",[85,480,481],{},"步数越低 → 速度越快，细节越少",[85,483,484],{},"现代模型往往低步数也能出高质量图",[452,486,488],{"id":487},"cfg提示词引导系数","CFG（提示词引导系数）",[119,490,491,497,500,503],{},[85,492,493,494],{},"控制模型",[18,495,496],{},"对提示词的服从程度",[85,498,499],{},"数值高 → 严格遵循提示词",[85,501,502],{},"数值低 → 更自由、创意更强",[85,504,505],{},"蒸馏模型表现不同，建议多尝试",[452,507,509],{"id":508},"sampler采样器","Sampler（采样器）",[119,511,512,515],{},[85,513,514],{},"决定去噪算法，如 Euler、Euler Ancestral、DPM++ 2M SDE、LCM、Turbo 等",[85,516,517],{},"影响速度、稳定性、细节风格",[452,519,521],{"id":520},"scheduler调度器","Scheduler（调度器）",[119,523,524,527],{},[85,525,526],{},"控制每一步的噪声变化",[85,528,529,530,533],{},"常用：",[18,531,532],{},"Karras","，稳定可靠",[452,535,537],{"id":536},"denoise降噪强度","Denoise（降噪强度）",[119,539,540,543,546,549],{},[85,541,542],{},"图像重绘强度（0–1）",[85,544,545],{},"1 → 全新生成（文生图）",[85,547,548],{},"0 → 不做任何修改",[85,550,551],{},"0–1 → 局部重绘（图生图、精修、风格迁移）",[27,553],{},[10,555,557],{"id":556},"常见问题-faq","常见问题 FAQ",[14,559,560,563],{},[18,561,562],{},"Q：ComfyUI 需要哪些模型？",[18,564,565,566,269],{},"A：需要 Diffusion、CLIP、VAE 三类模型。大多数模板支持一键下载，也可手动放入 ",[125,567,568],{},"ComfyUI/models",[14,570,571,574],{},[18,572,573],{},"Q：为什么 Run 按钮是灰色的？",[18,575,576],{},"A：确保所有必需模型已加载，且界面没有红色错误提示。",[14,578,579,582,585,586],{},[18,580,581],{},"Q：我能复现同一张图吗？",[18,583,584],{},"A：可以，在 KSampler 中使用","相同种子",[18,587,588],{},"即可。递增/递减种子可生成轻微变化的版本。",[14,590,591,594],{},[18,592,593],{},"Q：没有 NVIDIA 显卡能用吗？",[18,595,596],{},"A：可以，但纯 CPU 生成非常慢。AMD 显卡需要配置 ROCm。",{"title":598,"searchDepth":599,"depth":599,"links":600},"",2,[601,602,603,604,605,606,607,608],{"id":32,"depth":599,"text":33},{"id":67,"depth":599,"text":68},{"id":150,"depth":599,"text":151},{"id":181,"depth":599,"text":182},{"id":204,"depth":599,"text":204},{"id":274,"depth":599,"text":274},{"id":399,"depth":599,"text":400},{"id":449,"depth":599,"text":450,"children":609},[610,612,613,614,615,616],{"id":454,"depth":611,"text":455},3,{"id":469,"depth":611,"text":470},{"id":487,"depth":611,"text":488},{"id":508,"depth":611,"text":509},{"id":520,"depth":611,"text":521},{"id":536,"depth":611,"text":537},"本篇教程将带你在 ComfyUI 中生成第一张 AI 图像，并搞懂支撑所有工作流的核心节点。学完之后，你将能够自己定制流程，并稳定复现想要的效果。","md",{},true,"/zh/basic-tutorial/text-to-image-workflow",{"title":5,"description":617},"zh/basic-tutorial/text-to-image-workflow","uBsC92Lz9Qk-V7nbakQfxfjdgBbfGw7E13l_xl50Z60",1773986044745]