免费绘画，用不完！部署 CF Worker，支持 API，多模型切换。
【第一弹】用不完，根本用不完，部署cf worker无限免费绘画，可Api，支持多模型切换 - 常规话题 / 人工智能 - LINUX DO支持/v1/chat/completions，/v1/models接口
需要cloudflare账号，申请账号token，这一步可以百度或者复制以下代码，部署到cloudflare，记得把account_id，token改为你自己的
部署到CF的worker.js中
//本项目授权api_key，防止被恶意调用（填写到one-api，new-api中的渠道密钥）
const API_KEY = "sk-1234567890";
//cloudflare账号列表，每次请求都会随机从列表里取一个账号
const CF_ACCOUNT_LIST = [
{ account_id: "xxxxxx", token: "xxxxxx" }
];
//是否开启提示词翻译、优化功能
const CF_IS_TRANSLATE = true;
//提示词翻译、优化模型
const CF_TRANSLATE_MODEL = "@cf/qwen/qwen1.5-14b-chat-awq";
//模型映射，设置客户端可用的模型。one-api，new-api在添加渠道时可使用“获取模型列表”功能，一键添加模型
const CUSTOMER_MODEL_MAP = {
"dreamshaper-8": "@cf/lykon/dreamshaper-8-lcm",
"stable-diffusion-xl-base-cf": "@cf/stabilityai/stable-diffusion-xl-base-1.0",
"stable-diffusion-xl-lightning-cf": "@cf/bytedance/stable-diffusion-xl-lightning"
};
async function handleRequest(request) {
try {
if (request.method === "OPTIONS") {
return new Response("", {
status: 204,
headers: {
'Access-Control-Allow-Origin': '*',
"Access-Control-Allow-Headers": '*'
}
});
}
if (/^(https?:\/\/[^\/]*?)\/file\//i.test(request.url)) {
if (request.headers.get("if-modified-since")) {
return new Response("", {
status: 304,
headers: {
'Access-Control-Allow-Origin': '*',
"Access-Control-Allow-Headers": '*',
"Last-Modified": request.headers.get("If-Modified-Since")
}
});
}
const img = await fetch(request.url.replace(/^(https?:\/\/[^\/]*?)\//, "https://telegra.ph/"));
return new Response(img.body, {
status: img.status,
headers: {
"content-type": img.headers.get("content-type"),
'Access-Control-Allow-Origin': '*',
"Access-Control-Allow-Headers": '*',
"Last-Modified": (new Date()).toUTCString(),
"Cache-Control": "public, max-age=31536000"
}
});
}
const authHeader = request.headers.get("Authorization");
if (!authHeader || !authHeader.startsWith("Bearer ") || authHeader.split(" ") !== API_KEY) {
return new Response("Unauthorized", { status: 401 });
}
if (request.url.endsWith("/v1/models")) {
const arrs = [];
Object.keys(CUSTOMER_MODEL_MAP).map(element => arrs.push({ id: element, object: "model" }))
const response = {
data: arrs,
success: true
};
return new Response(JSON.stringify(response), {
headers: {
'Content-Type': 'application/json',
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': '*'
}
});
}
if (request.method !== "POST") {
return new Response("Only POST requests are allowed", {
status: 405,
});
}
if (!request.url.endsWith("/v1/chat/completions")) {
return new Response("Not Found", {
status: 404,
});
}
const data = await request.json();
const messages = data.messages || [];
const model = CUSTOMER_MODEL_MAP || CUSTOMER_MODEL_MAP["stable-diffusion-xl-lightning"];
const stream = data.stream || false;
const userMessage = messages.reverse().find((msg) => msg.role === "user")?.content;
if (!userMessage) {
return new Response(JSON.stringify({ error: "未找到用户消息" }), {
status: 400,
headers: {
'Content-Type': 'application/json',
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': '*'
}
});
}
const originalPrompt = userMessage;
const translatedPrompt = CF_IS_TRANSLATE ? await getPrompt(originalPrompt) : originalPrompt;
const imageUrl = request.url.match(/^(https?:\/\/[^\/]*?)\//) + await generateImageByText(model, translatedPrompt);
if (stream) {
return handleStreamResponse(originalPrompt, translatedPrompt, "1024x1024", model, imageUrl);
} else {
return handleNonStreamResponse(originalPrompt, translatedPrompt, "1024x1024", model, imageUrl);
}
} catch (error) {
return new Response("Internal Server Error: " + error.message, {
status: 500,
headers: {
'Content-Type': 'application/json',
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': '*'
}
});
}
}
async function getPrompt(prompt) {
const requestBodyJson = {
messages: [
{
role: "system",
content: `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。
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。
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。
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）。
* 前缀影响图像质量。像"masterpiece"、"best quality"、"4k"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。
* 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。
* 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：
1.我会发送给您一个图像场景。需要你生成详细的图像描述
2.图像描述必须是英文，输出为Positive Prompt。
示例：
我发送：二战时期的护士。
您回复只回复：
A 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, 4k, illustration style, best lighting, depth of field, detailed character, detailed environment.`
},
{
role: "user",
content: prompt
}
]
};
const response = await postRequest(CF_TRANSLATE_MODEL, requestBodyJson);
if (!response.ok) {
return prompt;
}
const jsonResponse = await response.json();
const res = jsonResponse.result.response;
return res;
}
async function generateImageByText(model, prompt) {
const jsonBody = { prompt: prompt, num_steps: 20, guidance: 7.5, strength: 1, width: 1024, height: 1024 };
const response = await postRequest(model, jsonBody);
const imageUrl = await uploadImage(response);
return imageUrl;
}
async function uploadImage(response) {
const imageBlob = await response.blob();
const formData = new FormData();
formData.append("file", imageBlob, "image.jpg");
const uploadResponse = await fetch("https://telegra.ph/upload", {
method: 'POST',
body: formData,
});
if (!uploadResponse.ok) {
throw new Error("Failed to upload image");
}
const uploadResult = await uploadResponse.json();
const imageUrl = uploadResult.src;
return imageUrl;
}
function handleStreamResponse(originalPrompt, translatedPrompt, size, model, imageUrl) {
const uniqueId = `chatcmpl-${Date.now()}`;
const createdTimestamp = Math.floor(Date.now() / 1000);
const systemFingerprint = "fp_" + Math.random().toString(36).substr(2, 9);
const content = `
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