前情提要：
一分钱不花！ 搭建AI自动优化生成提示词 后调用FLUX.1或者SD3 AI绘画，并可接入NEW API，模型工具全免费，永久有效 - 常规话题 / 人工智能 - LINUX DO
本次使用到的工具：
FastGPT
AFF 硅基流动 含aff
Cloudflare 大善人的worker
首先介绍一下 ：
FastGPT提供开箱即用的数据处理和模型调用能力。它支持通过可视化的 Flow 模块进行工作流编排，以实现复杂的问答场景。FASTGPT基本使用教程B站有，可以去看看，这里不做讲解。
FASTGPT各个模型会优先调用用户自己的配置的接口，若无，才会消耗FASTGPT的AI积分进行调用。因此，FASTGPT基本只消耗一些索引的token，消耗极少，在免费范围内。FASTGPT配置的接口也可以选用 AFF 硅基流动 含aff的deepseekchat模型。
AFF 硅基流动 含aff 拉新双方可领取2000万token，可以调用deepseek chat，并且可以免费调用FLUX.1模型绘画。FLUX.1应该是目前最强绘画模型。
AI 绘画新标杆！一文详解最新开源模型 Flux.1
还可以免费调用SDXL图生图模型。
Cloudflare 大善人的worker用于搭建 img to base64 的功能
如实在不会搭建 img to base64 的功能的话，也可以直接使用我搭建的，复制工作流导入即可
综上，无任何付费项目。
效果展示：
工作流展示：
工作流导入：
{
"nodes": [
{
"nodeId": "userGuide",
"name": "core.module.template.User guide",
"intro": "core.app.tip.userGuideTip",
"avatar": "core/workflow/template/systemConfig",
"flowNodeType": "userGuide",
"position": {
"x": 2806.440723630102,
"y": 2213.8764751163535
},
"version": "481",
"inputs": [
{
"key": "welcomeText",
"renderTypeList": [
"hidden"
],
"valueType": "string",
"label": "core.app.Welcome Text",
"type": "hidden",
"showTargetInApp": false,
"showTargetInPlugin": false,
"value": "您好,我是stable-diffusion文生图像绘制助手,您可以按照下面这个格式进行提问:\n[一只赛博朋克猫咪]\n[一只黑白相间的狗在追蝴蝶]",
"connected": false,
"selectedTypeIndex": 0
},
{
"key": "variables",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "core.module.Variable",
"value": [
{
"id": "6agumx",
"key": "AI优化",
"label": "是否需要使用AI优化提示词？(默认不需要)",
"type": "select",
"required": false,
"maxLen": 50,
"enums": [
{
"value": "true"
},
{
"value": "false"
}
],
"icon": "core/app/variable/select"
}
],
"type": "hidden",
"showTargetInApp": false,
"showTargetInPlugin": false,
"connected": false,
"selectedTypeIndex": 0
},
{
"key": "questionGuide",
"valueType": "boolean",
"renderTypeList": [
"hidden"
],
"label": "",
"type": "switch",
"showTargetInApp": false,
"showTargetInPlugin": false,
"connected": false,
"selectedTypeIndex": 0
},
{
"key": "tts",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"type": "hidden",
"showTargetInApp": false,
"showTargetInPlugin": false,
"connected": false,
"selectedTypeIndex": 0
},
{
"key": "whisper",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"type": "hidden",
"showTargetInApp": false,
"showTargetInPlugin": false,
"connected": false,
"selectedTypeIndex": 0
},
{
"key": "scheduleTrigger",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"value": null
}
],
"outputs": []
},
{
"nodeId": "userChatInput",
"name": "流程开始",
"intro": "当用户发送一个内容后，流程将会从这个模块开始执行。",
"avatar": "core/workflow/template/workflowStart",
"flowNodeType": "workflowStart",
"position": {
"x": 1687.1273916672578,
"y": 1617.973743517647
},
"version": "481",
"inputs": [
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "问题输入",
"required": true,
"toolDescription": "用户问题",
"type": "systemInput",
"showTargetInApp": false,
"showTargetInPlugin": false,
"connected": false,
"selectedTypeIndex": 0,
"value": [
"userChatInput",
"userChatInput"
]
}
],
"outputs": [
{
"id": "userChatInput",
"key": "userChatInput",
"label": "common:core.module.input.label.user question",
"type": "static",
"valueType": "string"
},
{
"id": "userFiles",
"key": "userFiles",
"label": "app:workflow.user_file_input",
"description": "app:workflow.user_file_input_desc",
"type": "static",
"valueType": "arrayString"
}
]
},
{
"nodeId": "tNbjIPgU4HWr",
"name": "AI 生成提示词",
"intro": "AI 大模型对话",
"avatar": "core/workflow/template/aiChat",
"flowNodeType": "chatNode",
"showStatus": true,
"position": {
"x": 2083.051608390704,
"y": 1369.3070768509804
},
"version": "481",
"inputs": [
{
"key": "model",
"renderTypeList": [
"settingLLMModel",
"reference"
],
"label": "core.module.input.label.aiModel",
"valueType": "string",
"value": "deepseek-chat"
},
{
"key": "temperature",
"renderTypeList": [
"hidden"
],
"label": "",
"value": 2,
"valueType": "number",
"min": 0,
"max": 10,
"step": 1
},
{
"key": "maxToken",
"renderTypeList": [
"hidden"
],
"label": "",
"value": 4000,
"valueType": "number",
"min": 100,
"max": 4000,
"step": 50
},
{
"key": "isResponseAnswerText",
"renderTypeList": [
"hidden"
],
"label": "",
"value": true,
"valueType": "boolean"
},
{
"key": "quoteTemplate",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "string"
},
{
"key": "quotePrompt",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "string"
},
{
"key": "aiChatVision",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "boolean",
"value": true
},
{
"key": "systemPrompt",
"renderTypeList": [
"textarea",
"reference"
],
"max": 3000,
"valueType": "string",
"label": "core.ai.Prompt",
"description": "core.app.tip.chatNodeSystemPromptTip",
"placeholder": "core.app.tip.chatNodeSystemPromptTip",
"value": "作为 Stable Diffusion Prompt 提示词专家，您将从关键词中创建提示，通常来自 Danbooru 等数据库。\n\n提示通常描述图像，使用常见词汇，按重要性排列，并用逗号分隔。避免使用\"-\"或\".\"，但可以接受空格和自然语言。避免词汇重复。\n\n为了强调关键词，请将其放在括号中以增加其权重。例如，\"(flowers)\"将'flowers'的权重增加1.1倍，而\"(((flowers)))\"将其增加1.331倍。使用\"(flowers:1.5)\"将'flowers'的权重增加1.5倍。只为重要的标签增加权重。\n\n提示包括三个部分：**前缀**（质量标签+风格词+效果器）+ **主题**（图像的主要焦点）+ **场景**（背景、环境）。\n\n* 前缀影响图像质量。像\"masterpiece\"、\"best quality\"这样的标签可以提高图像的细节。像\"illustration\"、\"lensflare\"这样的风格词定义图像的风格。像\"bestlighting\"、\"lensflare\"、\"depthoffield\"这样的效果器会影响光照和深度。\n\n* 主题是图像的主要焦点，如角色或场景。对主题进行详细描述可以确保图像丰富而详细。增加主题的权重以增强其清晰度。对于角色，描述面部、头发、身体、服装、姿势等特征。\n\n* 场景描述环境。没有场景，图像的背景是平淡的，主题显得过大。某些主题本身包含场景（例如建筑物、风景）。像\"花草草地\"、\"阳光\"、\"河流\"这样的环境词可以丰富场景。你的任务是设计图像生成的提示。请按照以下步骤进行操作：\n\n1. 我会发送给您一个图像场景。需要你生成详细的图像描述\n2. 图像描述必须是英文，输出为Positive Prompt。\n\n示例：\n\n我发送：二战时期的护士。\n您回复只回复：\nA WWII-era nurse in a German uniform, holding a wine bottle and stethoscope, sitting at a table in white attire, with a table in the background, masterpiece, best quality, illustration style, best lighting, depth of field, detailed character, detailed environment.\n"
},
{
"key": "history",
"renderTypeList": [
"numberInput",
"reference"
],
"valueType": "chatHistory",
"label": "core.module.input.label.chat history",
"description": "最多携带多少轮对话记录",
"required": true,
"min": 0,
"max": 50,
"value": 1
},
{
"key": "quoteQA",
"renderTypeList": [
"settingDatasetQuotePrompt"
],
"label": "",
"debugLabel": "知识库引用",
"description": "",
"valueType": "datasetQuote"
},
{
"key": "stringQuoteText",
"renderTypeList": [
"reference",
"textarea"
],
"label": "app:document_quote",
"debugLabel": "app:document_quote",
"description": "app:document_quote_tip",
"valueType": "string"
},
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "用户问题",
"required": true,
"toolDescription": "用户问题",
"value": [
"userChatInput",
"userChatInput"
]
}
],
"outputs": [
{
"id": "history",
"key": "history",
"required": true,
"label": "core.module.output.label.New context",
"description": "core.module.output.description.New context",
"valueType": "chatHistory",
"valueDesc": "{\n obj: System | Human | AI;\n value: string;\n}[]",
"type": "static"
},
{
"id": "answerText",
"key": "answerText",
"required": true,
"label": "core.module.output.label.Ai response content",
"description": "core.module.output.description.Ai response content",
"valueType": "string",
"type": "static"
}
]
},
{
"nodeId": "vFlAtLTLYxl7",
"name": "文本拼接",
"intro": "可对固定或传入的文本进行加工后输出，非字符串类型数据最终会转成字符串类型。",
"avatar": "core/workflow/template/textConcat",
"flowNodeType": "textEditor",
"position": {
"x": 4031.751927125333,
"y": 1464.5370429172842
},
"version": "486",
"inputs": [
{
"key": "system_addInputParam",
"renderTypeList": [
"addInputParam"
],
"valueType": "dynamic",
"label": "",
"required": false,
"description": "可以引用其他节点的输出，作为文本拼接的变量，输入 / 唤起变量列表",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
}
},
{
"key": "system_textareaInput",
"renderTypeList": [
"textarea"
],
"valueType": "string",
"required": true,
"label": "拼接文本",
"placeholder": "可输入 / 唤起变量列表",
"value": "\n"
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "url",
"label": "url",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
},
"required": true,
"value": [
"uHkZxdjD51fW",
"ozxYHsrGitKE"
]
}
],
"outputs": [
{
"id": "system_text",
"key": "system_text",
"label": "拼接结果",
"type": "static",
"valueType": "string"
}
]
},
{
"nodeId": "e6s2QseLaH23",
"name": "指定回复",
"intro": "该模块可以直接回复一段指定的内容。常用于引导、提示。非字符串内容传入时，会转成字符串进行输出。",
"avatar": "core/workflow/template/reply",
"flowNodeType": "answerNode",
"position": {
"x": 4593.058707050784,
"y": 1640.0370429172842
},
"version": "481",
"inputs": [
{
"key": "text",
"renderTypeList": [
"textarea",
"reference"
],
"valueType": "any",
"required": true,
"label": "core.module.input.label.Response content",
"description": "core.module.input.description.Response content",
"placeholder": "core.module.input.description.Response content",
"selectedTypeIndex": 1,
"value": [
"vFlAtLTLYxl7",
"system_text"
]
}
],
"outputs": []
},
{
"nodeId": "uHkZxdjD51fW",
"name": "FLUX.1 AI绘画中",
"intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
"avatar": "core/workflow/template/httpRequest",
"flowNodeType": "httpRequest468",
"showStatus": true,
"position": {
"x": 3511.409585773052,
"y": 1271.0370429172842
},
"version": "481",
"inputs": [
{
"key": "system_addInputParam",
"renderTypeList": [
"addInputParam"
],
"valueType": "dynamic",
"label": "",
"required": false,
"description": "core.module.input.description.HTTP Dynamic Input",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
}
},
{
"key": "system_httpMethod",
"renderTypeList": [
"custom"
],
"valueType": "string",
"label": "",
"value": "POST",
"required": true
},
{
"key": "system_httpTimeout",
"renderTypeList": [
"custom"
],
"valueType": "number",
"label": "",
"value": 30,
"min": 5,
"max": 600,
"required": true
},
{
"key": "system_httpReqUrl",
"renderTypeList": [
"hidden"
],
"valueType": "string",
"label": "",
"description": "core.module.input.description.Http Request Url",
"placeholder": "https://api.ai.com/getInventory",
"required": false,
"value": "https://api.siliconflow.cn/v1/black-forest-labs/FLUX.1-schnell/text-to-image"
},
{
"key": "system_httpHeader",
"renderTypeList": [
"custom"
],
"valueType": "any",
"value": [
{
"key": "accept",
"value": "application/json",
"type": "string"
},
{
"key": "authorization",
"value": "Bearer sk-xxxxxxxxx",
"type": "string"
},
{
"key": "content-type",
"value": "application/json",
"type": "string"
}
],
"label": "",
"description": "core.module.input.description.Http Request Header",
"placeholder": "core.module.input.description.Http Request Header",
"required": false
},
{
"key": "system_httpParams",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": [],
"label": "",
"required": false
},
{
"key": "system_httpJsonBody",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": "{\n \"prompt\": \"{{prompt}}\",\n \"image_size\": \"{{size}}\",\n \"num_inference_steps\": 28\n}",
"label": "",
"required": false
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "prompt",
"label": "prompt",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
},
"required": true,
"value": [
"tNbjIPgU4HWr",
"answerText"
]
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "size",
"label": "size",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
},
"required": true,
"value": [
"VARIABLE_NODE_ID",
"1024x1024"
]
}
],
"outputs": [
{
"id": "error",
"key": "error",
"label": "请求错误",
"description": "HTTP请求错误信息，成功时返回空",
"valueType": "object",
"type": "static"
},
{
"id": "httpRawResponse",
"key": "httpRawResponse",
"label": "原始响应",
"required": true,
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
"valueType": "any",
"type": "static"
},
{
"id": "system_addOutputParam",
"key": "system_addOutputParam",
"type": "dynamic",
"valueType": "dynamic",
"label": "",
"customFieldConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
}
},
{
"id": "ozxYHsrGitKE",
"valueType": "string",
"type": "dynamic",
"key": "images[0].url",
"label": "images[0].url"
}
]
},
{
"nodeId": "aQ5IQRj8Smuo",
"name": "判断器",
"intro": "根据一定的条件，执行不同的分支。",
"avatar": "core/workflow/template/ifelse",
"flowNodeType": "ifElseNode",
"showStatus": true,
"position": {
"x": 2694.256451376145,
"y": 1640.0370429172842
},
"version": "481",
"inputs": [
{
"key": "ifElseList",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"value": [
{
"condition": "AND",
"list": [
{
"variable": [
"VARIABLE_NODE_ID",
"否"
],
"condition": "equalTo",
"value": "否"
}
]
}
]
}
],
"outputs": [
{
"id": "ifElseResult",
"key": "ifElseResult",
"label": "判断结果",
"valueType": "string",
"type": "static"
}
]
},
{
"nodeId": "eobfPJ74NcFt",
"name": "base64编码",
"intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
"avatar": "core/workflow/template/httpRequest",
"flowNodeType": "httpRequest468",
"showStatus": true,
"position": {
"x": 3511.409585773052,
"y": 2406.8701256209265
},
"version": "481",
"inputs": [
{
"key": "system_addInputParam",
"renderTypeList": [
"addInputParam"
],
"valueType": "dynamic",
"label": "",
"required": false,
"description": "core.module.input.description.HTTP Dynamic Input",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
}
},
{
"key": "system_httpMethod",
"renderTypeList": [
"custom"
],
"valueType": "string",
"label": "",
"value": "POST",
"required": true
},
{
"key": "system_httpTimeout",
"renderTypeList": [
"custom"
],
"valueType": "number",
"label": "",
"value": 30,
"min": 5,
"max": 600,
"required": true
},
{
"key": "system_httpReqUrl",
"renderTypeList": [
"hidden"
],
"valueType": "string",
"label": "",
"description": "core.module.input.description.Http Request Url",
"placeholder": "https://api.ai.com/getInventory",
"required": false,
"value": "https://sd.281625263.workers.dev"
},
{
"key": "system_httpHeader",
"renderTypeList": [
"custom"
],
"valueType": "any",
"value": [
{
"key": "content-type",
"value": "application/json",
"type": "string"
}
],
"label": "",
"description": "core.module.input.description.Http Request Header",
"placeholder": "core.module.input.description.Http Request Header",
"required": false
},
{
"key": "system_httpParams",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": [],
"label": "",
"required": false
},
{
"key": "system_httpJsonBody",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": "{\n \"url\": \"{{url}}\" \n}",
"label": "",
"required": false
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "url",
"label": "url",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
},
"required": true,
"value": [
"VARIABLE_NODE_ID",
"1024"
]
}
],
"outputs": [
{
"id": "error",
"key": "error",
"label": "请求错误",
"description": "HTTP请求错误信息，成功时返回空",
"valueType": "object",
"type": "static"
},
{
"id": "httpRawResponse",
"key": "httpRawResponse",
"label": "原始响应",
"required": true,
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
"valueType": "any",
"type": "static"
},
{
"id": "system_addOutputParam",
"key": "system_addOutputParam",
"type": "dynamic",
"valueType": "dynamic",
"label": "",
"customFieldConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
}
},
{
"id": "ozxYHsrGitKE",
"valueType": "string",
"type": "dynamic",
"key": "dataUrl",
"label": "dataUrl"
}
]
},
{
"nodeId": "sEKrNvlLofIK",
"name": "文本拼接#2",
"intro": "可对固定或传入的文本进行加工后输出，非字符串类型数据最终会转成字符串类型。",
"avatar": "core/workflow/template/textConcat",
"flowNodeType": "textEditor",
"position": {
"x": 4622.983100908259,
"y": 2139.977466464875
},
"version": "486",
"inputs": [
{
"key": "system_addInputParam",
"renderTypeList": [
"addInputParam"
],
"valueType": "dynamic",
"label": "",
"required": false,
"description": "可以引用其他节点的输出，作为文本拼接的变量，输入 / 唤起变量列表",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
}
},
{
"key": "system_textareaInput",
"renderTypeList": [
"textarea"
],
"valueType": "string",
"required": true,
"label": "拼接文本",
"placeholder": "可输入 / 唤起变量列表",
"value": "\n"
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "url",
"label": "url",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
},
"required": true,
"value": [
"z02LIp9riLnG",
"ozxYHsrGitKE"
]
}
],
"outputs": [
{
"id": "system_text",
"key": "system_text",
"label": "拼接结果",
"type": "static",
"valueType": "string"
}
]
},
{
"nodeId": "xiuk1fLEBlE7",
"name": "指定回复#2",
"intro": "该模块可以直接回复一段指定的内容。常用于引导、提示。非字符串内容传入时，会转成字符串进行输出。",
"avatar": "core/workflow/template/reply",
"flowNodeType": "answerNode",
"position": {
"x": 4678.942715175715,
"y": 2880.810799798208
},
"version": "481",
"inputs": [
{
"key": "text",
"renderTypeList": [
"textarea",
"reference"
],
"valueType": "any",
"required": true,
"label": "core.module.input.label.Response content",
"description": "core.module.input.description.Response content",
"placeholder": "core.module.input.description.Response content",
"selectedTypeIndex": 1,
"value": [
"sEKrNvlLofIK",
"system_text"
]
}
],
"outputs": []
},
{
"nodeId": "z02LIp9riLnG",
"name": "SDXL AI绘画中",
"intro": "可以发出一个 HTTP 请求，实现更为复杂的操作（联网搜索、数据库查询等）",
"avatar": "core/workflow/template/httpRequest",
"flowNodeType": "httpRequest468",
"showStatus": true,
"position": {
"x": 4071.751927125333,
"y": 2101.996154226935
},
"version": "481",
"inputs": [
{
"key": "system_addInputParam",
"renderTypeList": [
"addInputParam"
],
"valueType": "dynamic",
"label": "",
"required": false,
"description": "core.module.input.description.HTTP Dynamic Input",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
}
},
{
"key": "system_httpMethod",
"renderTypeList": [
"custom"
],
"valueType": "string",
"label": "",
"value": "POST",
"required": true
},
{
"key": "system_httpTimeout",
"renderTypeList": [
"custom"
],
"valueType": "number",
"label": "",
"value": 30,
"min": 5,
"max": 600,
"required": true
},
{
"key": "system_httpReqUrl",
"renderTypeList": [
"hidden"
],
"valueType": "string",
"label": "",
"description": "core.module.input.description.Http Request Url",
"placeholder": "https://api.ai.com/getInventory",
"required": false,
"value": "https://api.siliconflow.cn/v1/stabilityai/stable-diffusion-xl-base-1.0/image-to-image"
},
{
"key": "system_httpHeader",
"renderTypeList": [
"custom"
],
"valueType": "any",
"value": [
{
"key": "accept",
"value": "application/json",
"type": "string"
},
{
"key": "authorization",
"value": "Bearer sk-xxxxxxxxxx",
"type": "string"
},
{
"key": "content-type",
"value": "application/json",
"type": "string"
}
],
"label": "",
"description": "core.module.input.description.Http Request Header",
"placeholder": "core.module.input.description.Http Request Header",
"required": false
},
{
"key": "system_httpParams",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": [],
"label": "",
"required": false
},
{
"key": "system_httpJsonBody",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"value": "{\n \"prompt\": \"{{prompt}}\",\n \"image\": \"{{url}}\",\n \"image_size\": \"{{size}}\",\n \"batch_size\": 1,\n \"num_inference_steps\": 30,\n \"guidance_scale\": 7.5\n}",
"label": "",
"required": false
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "prompt",
"label": "prompt",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
},
"required": true,
"value": [
"tNbjIPgU4HWr",
"answerText"
]
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "size",
"label": "size",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
},
"required": true,
"value": [
"VARIABLE_NODE_ID",
"1024x1024"
]
},
{
"renderTypeList": [
"reference"
],
"valueType": "string",
"canEdit": true,
"key": "url",
"label": "url",
"customInputConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": true
},
"required": true,
"value": [
"eobfPJ74NcFt",
"ozxYHsrGitKE"
]
}
],
"outputs": [
{
"id": "error",
"key": "error",
"label": "请求错误",
"description": "HTTP请求错误信息，成功时返回空",
"valueType": "object",
"type": "static"
},
{
"id": "httpRawResponse",
"key": "httpRawResponse",
"label": "原始响应",
"required": true,
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
"valueType": "any",
"type": "static"
},
{
"id": "system_addOutputParam",
"key": "system_addOutputParam",
"type": "dynamic",
"valueType": "dynamic",
"label": "",
"customFieldConfig": {
"selectValueTypeList": [
"string",
"number",
"boolean",
"object",
"arrayString",
"arrayNumber",
"arrayBoolean",
"arrayObject",
"any",
"chatHistory",
"datasetQuote",
"dynamic",
"selectApp",
"selectDataset"
],
"showDescription": false,
"showDefaultValue": false
}
},
{
"id": "ozxYHsrGitKE",
"valueType": "string",
"type": "dynamic",
"key": "images[0].url",
"label": "images[0].url"
}
]
}
],
"edges": [
{
"source": "vFlAtLTLYxl7",
"target": "e6s2QseLaH23",
"sourceHandle": "vFlAtLTLYxl7-source-right",
"targetHandle": "e6s2QseLaH23-target-left"
},
{
"source": "userChatInput",
"target": "tNbjIPgU4HWr",
"sourceHandle": "userChatInput-source-right",
"targetHandle": "tNbjIPgU4HWr-target-left"
},
{
"source": "uHkZxdjD51fW",
"target": "vFlAtLTLYxl7",
"sourceHandle": "uHkZxdjD51fW-source-right",
"targetHandle": "vFlAtLTLYxl7-target-left"
},
{
"source": "aQ5IQRj8Smuo",
"target": "uHkZxdjD51fW",
"sourceHandle": "aQ5IQRj8Smuo-source-IF",
"targetHandle": "uHkZxdjD51fW-target-left"
},
{
"source": "tNbjIPgU4HWr",
"target": "aQ5IQRj8Smuo",
"sourceHandle": "tNbjIPgU4HWr-source-right",
"targetHandle": "aQ5IQRj8Smuo-target-left"
},
{
"source": "sEKrNvlLofIK",
"target": "xiuk1fLEBlE7",
"sourceHandle": "sEKrNvlLofIK-source-right",
"targetHandle": "xiuk1fLEBlE7-target-left"
},
{
"source": "eobfPJ74NcFt",
"target": "z02LIp9riLnG",
"sourceHandle": "eobfPJ74NcFt-source-right",
"targetHandle": "z02LIp9riLnG-target-left"
},
{
"source": "z02LIp9riLnG",
"target": "sEKrNvlLofIK",
"sourceHandle": "z02LIp9riLnG-source-right",
"targetHandle": "sEKrNvlLofIK-target-left"
},
{
"source": "aQ5IQRj8Smuo",
"target": "eobfPJ74NcFt",
"sourceHandle": "aQ5IQRj8Smuo-source-ELSE",
"targetHandle": "eobfPJ74NcFt-target-left"
}
],
"chatConfig": {
"welcomeText": "您好,我是FLUX.1 AI绘画小助手.\n\n直接输入提示词(中英文均可)即可使用AI绘画。AI自动优化提示词\n\n[AI 绘画新标杆！一文详解最新开源模型 Flux.1](https://www.uisdc.com/flux-1)",
"variables": [
{
"id": "jvedwl",
"key": "否",
"label": "是否启用图生图功能？",
"type": "select",
"required": true,
"maxLen": 50,
"enums": [
{
"value": "是"
},
{
"value": "否"
}
]
},
{
"id": "8a2uxo",
"key": "1024",
"label": "图片链接",
"type": "input",
"required": false,
"maxLen": 100,
"enums": [
{
"value": "https://img.zcool.cn/community/01fa8f5aefb92da801206abab0777f.jpg@1280w_1l_2o_100sh.jpg"
}
],
"icon": "core/app/variable/select"
},
{
"id": "wond9q",
"key": "1024x1024",
"label": "选择图像尺寸",
"type": "select",
"required": true,
"maxLen": 50,
"enums": [
{
"value": "1024x1024"
},
{
"value": "576x1024"
},
{
"value": "1024x576"
}
]
}
],
"whisperConfig": {
"open": true,
"autoSend": false,
"autoTTSResponse": false
},
"scheduledTriggerConfig": {
"cronString": "",
"timezone": "Asia/Shanghai",
"defaultPrompt": ""
},
"fileSelectConfig": {
"canSelectFile": true,
"canSelectImg": true,
"maxFiles": 10
},
"_id": "66c4a5e9501b65de6749f604"
}
}
Cloudflare 大善人的worker搭建 img to base64：
创建worker，编辑代码如下：
addEventListener('fetch', event => {
event.respondWith(handleRequest(event.request))
})
async function handleRequest(request) {
// 仅允许 POST 请求
if (request.method !== 'POST') {
return new Response('Only POST requests are allowed', {
status: 405,
})
}
// 获取请求中的 JSON 数据
let json
try {
json = await request.json()
} catch (err) {
return new Response('Invalid JSON', {
status: 400,
})
}
// 获取图片链接
const imageUrl = json.url
if (!imageUrl) {
return new Response('URL is required', {
status: 400,
})
}
try {
// 从图片链接获取图片数据
const imageResponse = await fetch(imageUrl)
if (!imageResponse.ok) {
return new Response('Failed to fetch image', {
status: 400,
})
}
// 获取图片的二进制数据
const imageData = await imageResponse.arrayBuffer()
// 获取图片的 MIME 类型
const contentType = imageResponse.headers.get('Content-Type') || 'image/webp'
// 将二进制数据转换为 Base64 编码
const base64Image = arrayBufferToBase64(imageData)
// 构建 data URL 格式
const dataUrl = `data:${contentType};base64,${base64Image}`
// 返回 Base64 编码的图片数据
return new Response(JSON.stringify({ dataUrl: dataUrl }), {
headers: { 'Content-Type': 'application/json' },
})
} catch (err) {
return new Response('Error processing image', {
status: 500,
})
}
}
// 将 ArrayBuffer 转换为 Base64 编码
function arrayBufferToBase64(buffer) {
let binary = ''
const bytes = new Uint8Array(buffer)
const len = bytes.byteLength
for (let i = 0; i < len; i++) {
binary += String.fromCharCode(bytes[i])
}
return btoa(binary)
}
配置：
接着来到图中所示空处，将sk-xxxxxxx换成你的api kay
接入NEW API：
参考： 一分钱不花！ 搭建AI自动优化生成提示词 后调用FLUX.1或者SD3 AI绘画，并可接入NEW API，模型工具全免费，永久有效 - 常规话题 / 人工智能 - LINUX DO
接入使用的话，工作流需要稍作修改，把网页分享才能用的功能换成固定的值，图片链接也可由AI取出图片用户话中的链接，然后赋值给图片链接，B站有教程，挺简单的，之后有时间再做AI取出用户话中的图片链接部分的教程。
大功告成
这是我搭建好的，大家可以试试：效果展示 （已屏蔽nsfw的内容）
