AI图片生成器

这里介绍AI图片生成器程序依赖 Pollinations.ai 的后端服务（官网 Pollinations.AI ）。

先看一个效果图：

这里提供两种方法实现：一是HTML+CSS+JavaScript实现，二是python+ requests+pillow实现。

可以选用的模型：

Flux

Stable Diffusion v2

它们都依赖依赖pollinations.ai的后端服务。

模型区别

选 Flux：
- 需要快速生成简单图像（如图标、基础场景）。
- 对生成速度敏感，或提示词较为直接。
选 Stable Diffusion v2：
- 需要高质量、复杂细节的图像（如艺术创作、写实场景）。
- 需精细控制参数（如采样步骤、负面提示词）。

提示词长度限制（500字符）

提示词建议使用英文提示词（可用翻译工具辅助），如：

A beautiful modern and simple Chinese modern girl, smiling

A sunset over mountains, digital art

即使相同提示词，不同种子也会产生差异。

特别提示，目前，提示词用中文生成的图像符合度较低。

界面中，各参数的详细说明和设置建议：

基础参数

参数名称	取值范围	默认值	功能说明	设置建议
宽度(Width)	256-2048	1024	生成图像的横向像素数	推荐使用1024x576或1280x720等标准比例，大尺寸（>1600）会增加显存消耗和生成时间
高度(Height)	256-2048	576	生成图像的纵向像素数	需与宽度保持合理比例（如16:9），避免设置极端尺寸（如2048x256）

核心控制参数

参数名称	取值范围	默认值	功能说明	设置建议
采样步骤(Steps)	50-150	80	生成过程中的迭代次数，直接影响图像质量	- 高质量：100-120 - 平衡模式：80-100 - 快速测试：50-70
CFG Scale	7-15	10	控制生成结果与提示词的贴合度（Classifier-Free Guidance）	- 严格遵循提示：12-15 - 平衡模式：9-12 - 创意发散：7-9
随机种子(Seed)	0-999999	100	控制生成随机性的数字，相同种子+相同参数会产生相似结果	- 随机探索：每次+1 - 复现结果：固定种子值 - 微调变化：种子值微调（如100→101）

提示词

参数类型	功能说明	使用技巧
正向提示词	描述你希望生成的图像内容	- 使用英文更准确 - 关键词组合："masterpiece, 4K, cinematic lighting" - 避免矛盾描述
负面提示词	描述需要排除的元素	- 常用："low quality, blurry, extra fingers" - 针对性过滤："text, watermark, deformed"

模型选择

参数名称	可选值	默认值	功能说明	设置建议
模型(Model)	flux stable-diffusion-v2	flux	选择不同的生成模型	- flux：通用场景，细节丰富 - stable-diffusion-v2：适合艺术创作，风格更强烈

参数组合示例

场景1：高质量角色设计

宽度(Width): 1280

高度(Height): 720

采样步骤(Steps): 110

cfg: 12

model: flux

正向提示词: "cyborg warrior, intricate armor design, neon lighting, futuristic city background, cinematic composition, 8k"

负面提示词: "deformed, low resolution, watermark"

场景2：艺术风格探索

宽度(Width): 1600

高度(Height): 900

采样步骤(Steps): 90

cfg: 11

model: stable-diffusion-v2

正向提示词: "surreal landscape, Salvador Dali style, melting clocks, vibrant colors"

负面提示词: "photorealistic, modern architecture"

场景3：快速概念草图

宽度(Width): 1024

高度(Height): 576

采样步骤(Steps): 60

cfg: 9

model: stable-diffusion-v2

正向提示词: "medieval castle concept art, rough sketch, pencil shading"

负面提示词: "detailed, color, realistic"

一、HTML+CSS+JavaScript实现

先看效果图：

生成的图片，可右击另存为保存。

源码如下：

<!DOCTYPE html>
<html lang="zh-CN">
<head><meta charset="UTF-8"><title>增强版AI文生图工具</title><style>body {max-width: 800px;margin: 20px auto;padding: 40px 30px;font-family: system-ui, -apple-system, sans-serif;background: linear-gradient(135deg, #e6f7ff 0%, #f0ebff 100%);border-radius: 24px;box-shadow: 0 12px 40px rgba(24,144,255,0.15);}.control-group {margin-bottom: 20px;}.param-group {display: grid;grid-template-columns: repeat(2, 1fr);gap: 15px;margin-bottom: 20px;}label {display: block;margin-bottom: 5px;font-weight: bold;}input, textarea, select {width: 100%;padding: 12px;border: 2px solid #69c0ff;border-radius: 12px;background: rgba(255,255,255,0.95);box-shadow: 0 4px 16px rgba(24,144,255,0.15);transition: all 0.3s cubic-bezier(0.34, 1.56, 0.64, 1);}button {background: linear-gradient(135deg, #1890ff, #096dd9);color: white;padding: 12px 24px;border: none;border-radius: 25px;cursor: pointer;font-size: 16px;box-shadow: 0 4px 12px rgba(24,144,255,0.3);transition: all 0.2s;width: 100%;margin-top: 15px;}button:hover {transform: translateY(-2px);box-shadow: 0 6px 16px rgba(24,144,255,0.4);}#preview {margin-top: 20px;text-align: center;}#imageContainer {border: 2px solid #bae7ff;padding: 20px;border-radius: 16px;background: rgba(255,255,255,0.95);min-height: 300px;display: flex;align-items: center;justify-content: center;}.loader {border: 4px solid #f3f3f3;border-top: 4px solid #1890ff;border-radius: 50%;width: 30px;height: 30px;animation: spin 1s linear infinite;display: none;}@keyframes spin {0% { transform: rotate(0deg); }100% { transform: rotate(360deg); }}#errorMsg {color: red;display: none;margin-top: 10px;}.status-text {font-weight: bold;color: #1890ff;margin-bottom: 10px;}</style>
</head>
<body><h2>AI图片生成器（稳定版）</h2><div class="control-group"><label for="prompt">正向提示词【优先使用英文提示词（可用翻译工具辅助）】:</label><textarea id="prompt" rows="4" placeholder="示例：A cute puppy playing in the garden, 4k resolution, soft lighting"></textarea></div><div class="control-group"><label for="negativePrompt">负面提示词:</label><textarea id="negativePrompt" rows="2" placeholder="示例：blurry, deformed, low quality"></textarea></div><div class="param-group"><div><label for="width">宽度 (256-2048)</label><input type="number" id="width" value="1024" min="256" max="2048"></div><div><label for="height">高度 (256-2048)</label><input type="number" id="height" value="576" min="256" max="2048"></div><div><label for="model">模型选择</label><select id="model"><option value="flux">Flux</option><option value="stable-diffusion-v2">Stable Diffusion v2</option></select></div><div><label for="steps">采样步骤 (50-150)</label><input type="number" id="steps" value="80" min="50" max="150"></div><div><label for="cfg">CFG Scale (7-15)</label><input type="number" id="cfg" value="10" min="7" max="15"></div><div><label for="seed">随机种子</label><input type="number" id="seed" value="100" min="0"></div></div><button onclick="generateImage()">生成图片</button><div class="loader" id="loader"></div><div id="preview"><div class="status-text">状态：<span id="statusText">准备就绪</span></div><div id="imageContainer"><img id="generatedImage" style="max-width: 100%; display: none;"><div id="errorMsg"></div></div></div><script>const bannedKeywords = ['nude', 'blood', 'violence', 'nsfw'];let retryCount = 0;function validateInput(params) {const ranges = {width: [256, 2048],height: [256, 2048],steps: [50, 150],cfg: [7, 15]};// 参数范围验证Object.entries(ranges).forEach(([key, [min, max]]) => {const value = parseInt(params[key]);if (value < min || value > max) {throw new Error(`${key}需在${min}-${max}之间`);}});// 违禁词检查const promptText = params.prompt.toLowerCase();if (bannedKeywords.some(word => promptText.includes(word))) {throw new Error('提示词包含受限内容');}if (params.prompt.length > 500) {throw new Error('提示词过长（最多500字符）');}}async function generateImage() {const loader = document.getElementById('loader');const errorMsg = document.getElementById('errorMsg');const statusText = document.getElementById('statusText');const imageElement = document.getElementById('generatedImage');try {// 重置状态errorMsg.style.display = 'none';loader.style.display = 'block';statusText.textContent = '生成中...';imageElement.style.display = 'none';// 获取参数const params = {prompt: document.getElementById('prompt').value.trim(),negativePrompt: document.getElementById('negativePrompt').value.trim(),width: document.getElementById('width').value,height: document.getElementById('height').value,model: document.getElementById('model').value,steps: document.getElementById('steps').value,seed: document.getElementById('seed').value,cfg: document.getElementById('cfg').value};// 输入验证validateInput(params);// 自动修复常见问题if (retryCount > 2) {params.width = 512;params.height = 512;params.prompt += ", high quality, sharp focus";retryCount = 0;}// 构造请求URLconst baseURL = 'https://image.pollinations.ai/prompt';const queryParams = new URLSearchParams({...params,nologo: true,negativePrompt: params.negativePrompt});const finalPrompt = encodeURIComponent(`${params.prompt}, masterpiece, best quality`);const imageUrl = `${baseURL}/${finalPrompt}?${queryParams}`;// 带超时的请求const controller = new AbortController();setTimeout(() => controller.abort(), 10000);const response = await fetch(imageUrl, {signal: controller.signal});if (!response.ok) throw new Error(`API错误: ${response.status}`);// 验证内容类型const contentType = response.headers.get('content-type');if (!contentType?.includes('image')) {throw new Error('无效的图片响应');}// Blob方式加载const blob = await response.blob();if (blob.size < 1024) {throw new Error('图片数据异常');}imageElement.src = URL.createObjectURL(blob);imageElement.style.display = 'block';document.getElementById('seed').value = parseInt(params.seed) + 1;statusText.textContent = '生成成功';retryCount = 0;} catch (error) {retryCount++;errorMsg.textContent = error.message;errorMsg.style.display = 'block';statusText.textContent = '生成失败';// 特定错误处理if (error.name === 'AbortError') {errorMsg.textContent = '请求超时，请重试';}console.error('生成错误:', error);} finally {loader.style.display = 'none';}}</script>
</body>
</html>

二、python+ requests+pillow实现

先看效果图：

程序需要导入的模块：tkinter、requests、PIL（通过 Image 和 ImageTk 引入）、io、webbrowser、threading。

requests 是一个第三方库，是一个非常流行的 HTTP 客户端库，不是 Python 自带的，所以需要安装。

PIL 是 Python Imaging Library 的缩写，现在通常使用的是它的分支 Pillow。实际上安装的是 pillow 包即可。

其他库（ tkinter、io、webbrowser、threading）是 Python 的标准库，不需要额外安装。

源码如下：

import tkinter as tk
from tkinter import ttk, messagebox, filedialog
import requests
from PIL import Image, ImageTk
from io import BytesIO
import webbrowser
import threadingclass ImageGeneratorApp:def __init__(self, root):# 显式设置初始尺寸root.geometry("1000x800")self.root = rootself.root.title("AI图像生成器 - V1.3")        # 初始化默认参数self.default_params = {"width": 1024,"height": 576,"steps": 80,"cfg": 10,"seed": 100,"model": "flux"}self.original_image = Noneself.preview_size = (800, 600)  # 固定预览区域尺寸self.setup_ui()self.retry_count = 0self.is_generating = Falsedef setup_ui(self):"""界面布局"""main_frame = ttk.Frame(self.root, padding=20)main_frame.pack(fill=tk.BOTH, expand=True)# 输入区域input_frame = ttk.LabelFrame(main_frame, text="生成参数")input_frame.pack(fill=tk.X, pady=5)# 正向提示词ttk.Label(input_frame, text="正向提示词【优先使用英文提示词】:").grid(row=0, column=0, sticky=tk.W)self.prompt_entry = tk.Text(input_frame, height=4, width=50)self.prompt_entry.grid(row=1, column=0, columnspan=2, pady=5)# 负面提示词ttk.Label(input_frame, text="负面提示词:").grid(row=2, column=0, sticky=tk.W)self.negative_prompt_entry = tk.Text(input_frame, height=2, width=50)self.negative_prompt_entry.grid(row=3, column=0, columnspan=2, pady=5)# 参数控件params_frame = ttk.Frame(input_frame)params_frame.grid(row=4, column=0, columnspan=2, sticky="ew", pady=10)params_frame.columnconfigure(1, weight=1)params_frame.columnconfigure(3, weight=1)params = [("宽度", "width", 256, 2048),("高度", "height", 256, 2048),("采样步骤", "steps", 50, 150),("CFG Scale", "cfg", 7, 15),("随机种子", "seed", 0, 999999)]self.param_vars = {}for i, (label, name, min_val, max_val) in enumerate(params):row = i // 2col = (i % 2) * 2ttk.Label(params_frame, text=label).grid(row=row, column=col, sticky="w", padx=(0 if col == 0 else 20, 5), pady=5)default_val = self.default_params.get(name, min_val)var = tk.IntVar(value=default_val)spin = ttk.Spinbox(params_frame, from_=min_val, to=max_val, textvariable=var, width=15)spin.grid(row=row, column=col+1, sticky="ew", padx=(0, 20 if col == 0 else 0), pady=5)self.param_vars[name] = var# 模型选择ttk.Label(params_frame, text="模型选择:").grid(row=2, column=2, sticky="w", padx=(20, 5), pady=5)self.model_var = tk.StringVar(value="flux")ttk.Combobox(params_frame, textvariable=self.model_var, values=["flux", "stable-diffusion-v2"], state="readonly", width=13).grid(row=2, column=3, sticky="ew", pady=5)# 控制按钮btn_frame = ttk.Frame(main_frame)btn_frame.pack(pady=10)self.generate_btn = ttk.Button(btn_frame, text="生成图片", command=self.start_generation)self.generate_btn.pack(side=tk.LEFT, padx=5)self.save_btn = ttk.Button(btn_frame, text="保存图片", command=self.save_image, state=tk.DISABLED)self.save_btn.pack(side=tk.LEFT, padx=5)ttk.Button(btn_frame, text="API文档", command=lambda: webbrowser.open("https://pollinations.ai/api")).pack(side=tk.RIGHT)# 进度条self.progress = ttk.Progressbar(main_frame, mode='indeterminate', length=400)self.progress.pack(pady=5)# 图片显示区域self.image_frame = ttk.LabelFrame(main_frame, text="图片预览【800x600，保持原生成图像的宽高比】")self.image_frame.pack(fill=tk.BOTH, expand=True)# 创建Canvas实现自适应缩放self.canvas = tk.Canvas(self.image_frame, bg='#f0f0f0', width=self.preview_size[0], height=self.preview_size[1])self.canvas.pack(fill=tk.BOTH, expand=True)self.status_label = ttk.Label(self.image_frame, text="状态: 准备就绪", font=('Arial', 10))self.status_label.pack(pady=5)# 初始化占位符self.show_placeholder()def on_frame_resize(self, event):"""窗口调整大小时自动缩放图片"""if self.original_image:# 计算可用区域（减去状态栏高度）available_width = event.width - 20available_height = event.height - 50if available_width > 10 and available_height > 10:img = self.original_image.copy()img.thumbnail((available_width, available_height), Image.Resampling.LANCZOS)self.current_image = ImageTk.PhotoImage(img)self.image_label.config(image=self.current_image)def update_status(self, message, color="black"):self.root.after(0, lambda: [self.status_label.config(text=f"状态: {message}", foreground=color),self.root.update()])def start_generation(self):if not self.is_generating:self.is_generating = Trueself.generate_btn.config(state=tk.DISABLED)self.save_btn.config(state=tk.DISABLED)self.progress.start(10)threading.Thread(target=self.generate_image, daemon=True).start()def get_parameters(self):return {"prompt": self.prompt_entry.get("1.0", tk.END).strip(),"negativePrompt": self.negative_prompt_entry.get("1.0", tk.END).strip(),"width": self.param_vars["width"].get(),"height": self.param_vars["height"].get(),"steps": self.param_vars["steps"].get(),"cfg": self.param_vars["cfg"].get(),"seed": self.param_vars["seed"].get(),"model": self.model_var.get(),"nologo": "true"}def handle_error(self, error):self.retry_count += 1error_msg = f"错误: {str(error)}"self.update_status(error_msg, "red")messagebox.showerror("生成错误", error_msg)self.root.after(0, self.show_placeholder)def validate_inputs(self):banned_keywords = ["nude", "blood", "violence", "nsfw"]prompt = self.prompt_entry.get("1.0", tk.END).strip().lower()if not prompt:raise ValueError("请输入正向提示词")if len(prompt) > 500:raise ValueError("提示词过长（最多500字符）")if any(kw in prompt for kw in banned_keywords):raise ValueError("提示词包含受限内容")ranges = {"width": (256, 2048),"height": (256, 2048),"steps": (50, 150),"cfg": (7, 15),"seed": (0, 999999)}for name, var in self.param_vars.items():value = var.get()min_val, max_val = ranges.get(name, (0, 999999))if not (min_val <= value <= max_val):raise ValueError(f"{name}参数超出范围 ({min_val}-{max_val})")def build_request_url(self, params):base_url = "https://image.pollinations.ai/prompt"encoded_prompt = requests.utils.quote(f'{params["prompt"]}, masterpiece, best quality')query = "&".join(f"{k}={v}" for k, v in params.items() if k not in ["prompt"])return f"{base_url}/{encoded_prompt}?{query}"def validate_response(self, response):if response.status_code != 200:raise ValueError(f"API错误: {response.status_code}")if "image" not in response.headers.get("Content-Type", ""):raise ValueError("无效的图片响应")if len(response.content) < 1024:raise ValueError("图片数据异常")def display_image(self, image_data):         """显示图片（自动缩放至预览区域）"""try:# 清除旧内容self.canvas.delete("all")# 加载并处理图片img = Image.open(BytesIO(image_data))self.original_image = img.copy()# 计算缩放比例img_width, img_height = img.sizecanvas_width = self.canvas.winfo_width()canvas_height = self.canvas.winfo_height()# 保持宽高比缩放ratio = min(canvas_width/img_width, canvas_height/img_height)new_size = (int(img_width*ratio), int(img_height*ratio))img = img.resize(new_size, Image.Resampling.LANCZOS)# 居中显示self.tk_image = ImageTk.PhotoImage(img)x = (canvas_width - new_size[0]) // 2y = (canvas_height - new_size[1]) // 2self.canvas.create_image(x, y, anchor=tk.NW, image=self.tk_image)except Exception as e:self.handle_error(e)def show_placeholder(self):"""显示占位符（居中显示）"""self.canvas.delete("all")placeholder = Image.new("RGB", self.preview_size, (240, 240, 240))self.tk_placeholder = ImageTk.PhotoImage(placeholder)x = (self.preview_size[0] - placeholder.width) // 2y = (self.preview_size[1] - placeholder.height) // 2self.canvas.create_image(x, y, anchor=tk.NW, image=self.tk_placeholder)def generate_image(self):try:self.update_status("正在验证输入参数...", "blue")self.validate_inputs()params = self.get_parameters()self.update_status("正在连接API服务器...", "blue")image_url = self.build_request_url(params)self.update_status("正在生成图像...", "blue")response = requests.get(image_url, timeout=15)self.update_status("正在验证响应数据...", "blue")self.validate_response(response)self.root.after(0, lambda: self.display_image(response.content))self.update_status("生成成功!", "green")self.param_vars["seed"].set(params["seed"] + 1)self.retry_count = 0self.save_btn.config(state=tk.NORMAL)except Exception as e:self.handle_error(e)finally:self.progress.stop()self.is_generating = Falseself.root.after(0, lambda: self.generate_btn.config(state=tk.NORMAL))def save_image(self):if not self.original_image:messagebox.showwarning("警告", "没有可保存的图片")returnfile_path = filedialog.asksaveasfilename(defaultextension=".png",filetypes=[("PNG文件", "*.png"), ("所有文件", "*.*")])if file_path:try:self.original_image.save(file_path)messagebox.showinfo("成功", "图片保存成功")except Exception as e:messagebox.showerror("错误", f"保存失败: {str(e)}")if __name__ == "__main__":root = tk.Tk()app = ImageGeneratorApp(root)root.mainloop()

三、python+ requests+pillow实现改进版

添加了

在线翻译

帮助

运行界面：

源码如下：

import tkinter as tk
from tkinter import ttk, messagebox, filedialog
import requests
from PIL import Image, ImageTk
from io import BytesIO
import webbrowser
import threading
import osclass ImageGeneratorApp:def __init__(self, root):# 显式设置初始尺寸root.geometry("1000x800")self.root = rootself.root.title("AI图像生成器 - V1.3")        # 初始化默认参数self.default_params = {"width": 1024,"height": 576,"steps": 80,"cfg": 10,"seed": 100,"model": "flux"}self.original_image = Noneself.preview_size = (800, 600)  # 固定预览区域尺寸self.setup_ui()self.load_urls()  # 新增网址加载self.retry_count = 0self.is_generating = Falsedef setup_ui(self):"""界面布局"""main_frame = ttk.Frame(self.root, padding=20)main_frame.pack(fill=tk.BOTH, expand=True)# 输入区域input_frame = ttk.LabelFrame(main_frame, text="生成参数")input_frame.pack(fill=tk.X, pady=5)# 正向提示词ttk.Label(input_frame, text="正向提示词【优先使用英文提示词】:").grid(row=0, column=0, sticky=tk.W)self.prompt_entry = tk.Text(input_frame, height=4, width=50)self.prompt_entry.grid(row=1, column=0, columnspan=2, pady=5)# 新增翻译网址组件（右边区域）url_frame = ttk.Frame(input_frame)url_frame.grid(row=0, column=2, rowspan=2, padx=10, sticky="e")# 网址下拉框self.url_combo = ttk.Combobox(url_frame, width=32, state="readonly")self.url_combo.pack(side=tk.LEFT, padx=2)# 打开翻译按钮self.trans_btn = ttk.Button(url_frame,text="打开翻译",width=8,command=self.open_selected_url)self.trans_btn.pack(side=tk.LEFT)# 负面提示词ttk.Label(input_frame, text="负面提示词:").grid(row=2, column=0, sticky=tk.W)self.negative_prompt_entry = tk.Text(input_frame, height=2, width=50)self.negative_prompt_entry.grid(row=3, column=0, columnspan=2, pady=5)# 参数控件params_frame = ttk.Frame(input_frame)params_frame.grid(row=4, column=0, columnspan=2, sticky="ew", pady=10)params_frame.columnconfigure(1, weight=1)params_frame.columnconfigure(3, weight=1)params = [("宽度", "width", 256, 2048),("高度", "height", 256, 2048),("采样步骤", "steps", 50, 150),("CFG Scale", "cfg", 7, 15),("随机种子", "seed", 0, 999999)]self.param_vars = {}for i, (label, name, min_val, max_val) in enumerate(params):row = i // 2col = (i % 2) * 2ttk.Label(params_frame, text=label).grid(row=row, column=col, sticky="w", padx=(0 if col == 0 else 20, 5), pady=5)default_val = self.default_params.get(name, min_val)var = tk.IntVar(value=default_val)spin = ttk.Spinbox(params_frame, from_=min_val, to=max_val, textvariable=var, width=15)spin.grid(row=row, column=col+1, sticky="ew", padx=(0, 20 if col == 0 else 0), pady=5)self.param_vars[name] = var# 模型选择ttk.Label(params_frame, text="模型选择:").grid(row=2, column=2, sticky="w", padx=(20, 5), pady=5)self.model_var = tk.StringVar(value="flux")ttk.Combobox(params_frame, textvariable=self.model_var, values=["flux", "stable-diffusion-v2"], state="readonly", width=13).grid(row=2, column=3, sticky="ew", pady=5)# 控制按钮# 在控制按钮区域修改btn_frame = ttk.Frame(main_frame)btn_frame.pack(pady=10)# 原有按钮保持不变，新增帮助按钮self.generate_btn = ttk.Button(btn_frame, text="生成图片", command=self.start_generation)self.generate_btn.pack(side=tk.LEFT, padx=5)self.save_btn = ttk.Button(btn_frame, text="保存图片", command=self.save_image, state=tk.DISABLED)self.save_btn.pack(side=tk.LEFT, padx=5)# 右侧按钮组right_btn_frame = ttk.Frame(btn_frame)right_btn_frame.pack(side=tk.RIGHT)ttk.Button(right_btn_frame, text="API文档", command=lambda: webbrowser.open("https://pollinations.ai/api")).pack(side=tk.LEFT, padx=5)ttk.Button(right_btn_frame, text="帮助", command=self.show_help).pack(side=tk.LEFT)  # 新增帮助按钮# 进度条self.progress = ttk.Progressbar(main_frame, mode='indeterminate', length=400)self.progress.pack(pady=5)# 图片显示区域self.image_frame = ttk.LabelFrame(main_frame, text="图片预览【800x600，保持原生成图像的宽高比】")self.image_frame.pack(fill=tk.BOTH, expand=True)# 创建Canvas实现自适应缩放self.canvas = tk.Canvas(self.image_frame, bg='#f0f0f0', width=self.preview_size[0], height=self.preview_size[1])self.canvas.pack(fill=tk.BOTH, expand=True)self.status_label = ttk.Label(self.image_frame, text="状态: 准备就绪", font=('Arial', 10))self.status_label.pack(pady=5)# 初始化占位符self.show_placeholder()# 新增网址相关方法def load_urls(self):"""加载翻译网址列表"""self.urls = []try:with open("翻译网址.txt", "r", encoding="utf-8") as f:for line in f:line = line.strip()if line and line.startswith("http"):self.urls.append(line)except FileNotFoundError:self.urls = ["请创建翻译网址.txt"]self.url_combo["values"] = self.urlsif self.urls:self.url_combo.current(0)def open_selected_url(self):"""打开选择的翻译网址"""url = self.url_combo.get()if url.startswith("http"):webbrowser.open(url)# 新增帮助功能def show_help(self):"""显示帮助窗口"""help_window = tk.Toplevel(self.root)help_window.title("使用帮助")help_window.geometry("600x500")# 创建带滚动条的文本框main_frame = ttk.Frame(help_window)main_frame.pack(fill=tk.BOTH, expand=True, padx=10, pady=10)text_scroll = ttk.Scrollbar(main_frame)text_scroll.pack(side=tk.RIGHT, fill=tk.Y)help_text = tk.Text(main_frame, wrap=tk.WORD, yscrollcommand=text_scroll.set,font=("宋体", 10),padx=10,pady=10)help_text.pack(fill=tk.BOTH, expand=True)text_scroll.config(command=help_text.yview)# 格式化帮助内容help_content = """
【参数说明】◼ 基础参数▹ 宽度/高度：建议1024x576起，最大2048x2048▹ 模型选择：- flux：通用模型，细节丰富- stable-diffusion-v2：艺术风格更强◼ 核心控制▹ 采样步骤（Steps）：- 50-70：快速测试- 80-100：平衡模式- 100+：高质量输出▹ CFG Scale：- 7-9：创意发散- 10-12：平衡模式- 12+：严格遵循提示▹ 随机种子：- 固定种子可复现结果- 微调值（+1）产生变体◼ 提示词技巧✓ 正向提示词：- 使用英文更准确- 示例："4k, masterpiece, detailed eyes"✓ 负面提示词：- 过滤不需要的内容- 示例："blurry, low quality, extra fingers"◼ 快捷键• 生成图片：Ctrl+Enter• 保存图片：Ctrl+S【常见问题】
Q：生成时间太长？
A：降低采样步骤(Steps)值/缩小尺寸Q：图像有缺陷？
A：添加负面提示词如"deformed"Q：如何保持风格一致？
A：固定随机种子(Seed)值+相似提示词【参数组合示例】
场景1：高质量角色设计
宽度(Width): 1280
高度(Height): 720  
采样步骤(Steps): 110
cfg: 12
model: flux
正向提示词: "cyborg warrior, intricate armor design, neon lighting, futuristic city background, cinematic composition, 8k"
负面提示词: "deformed, low resolution, watermark"场景2：艺术风格探索
宽度(Width): 1600
高度(Height): 900
采样步骤(Steps): 90
cfg: 11
model: stable-diffusion-v2  
正向提示词: "surreal landscape, Salvador Dali style, melting clocks, vibrant colors"
负面提示词: "photorealistic, modern architecture"场景3：快速概念草图
宽度(Width): 1024
高度(Height): 576
采样步骤(Steps): 60  
cfg: 9
model: stable-diffusion-v2
正向提示词: "medieval castle concept art, rough sketch, pencil shading"
负面提示词: "detailed, color, realistic""""# 插入带格式的文本help_text.insert(tk.END, help_content)# 设置标签格式help_text.tag_configure("title", font=("黑体", 12, "bold"), foreground="#2c3e50")help_text.tag_configure("header", font=("微软雅黑", 11, "bold"), foreground="#3498db")help_text.tag_configure("highlight", foreground="#e74c3c")# 应用格式标记format_rules = [("【参数说明】", "title"),("◼ 基础参数", "header"),("◼ 核心控制", "header"), ("◼ 提示词技巧", "header"),("【常见问题】", "title"),("Q：", "highlight"),("A：", "highlight"),("【参数组合示例】", "title"),("场景1：", "highlight"),("场景2：", "highlight"),("场景3：", "highlight")]for text, tag in format_rules:start = "1.0"while True:pos = help_text.search(text, start, tk.END)if not pos:breakend = f"{pos}+{len(text)}c"help_text.tag_add(tag, pos, end)start = endhelp_text.config(state=tk.DISABLED)def on_frame_resize(self, event):"""窗口调整大小时自动缩放图片"""if self.original_image:# 计算可用区域（减去状态栏高度）available_width = event.width - 20available_height = event.height - 50if available_width > 10 and available_height > 10:img = self.original_image.copy()img.thumbnail((available_width, available_height), Image.Resampling.LANCZOS)self.current_image = ImageTk.PhotoImage(img)self.image_label.config(image=self.current_image)def update_status(self, message, color="black"):self.root.after(0, lambda: [self.status_label.config(text=f"状态: {message}", foreground=color),self.root.update()])def start_generation(self):if not self.is_generating:self.is_generating = Trueself.generate_btn.config(state=tk.DISABLED)self.save_btn.config(state=tk.DISABLED)self.progress.start(10)threading.Thread(target=self.generate_image, daemon=True).start()def get_parameters(self):return {"prompt": self.prompt_entry.get("1.0", tk.END).strip(),"negativePrompt": self.negative_prompt_entry.get("1.0", tk.END).strip(),"width": self.param_vars["width"].get(),"height": self.param_vars["height"].get(),"steps": self.param_vars["steps"].get(),"cfg": self.param_vars["cfg"].get(),"seed": self.param_vars["seed"].get(),"model": self.model_var.get(),"nologo": "true"}def handle_error(self, error):self.retry_count += 1error_msg = f"错误: {str(error)}"self.update_status(error_msg, "red")messagebox.showerror("生成错误", error_msg)self.root.after(0, self.show_placeholder)def validate_inputs(self):banned_keywords = ["nude", "blood", "violence", "nsfw"]prompt = self.prompt_entry.get("1.0", tk.END).strip().lower()if not prompt:raise ValueError("请输入正向提示词")if len(prompt) > 500:raise ValueError("提示词过长（最多500字符）")if any(kw in prompt for kw in banned_keywords):raise ValueError("提示词包含受限内容")ranges = {"width": (256, 2048),"height": (256, 2048),"steps": (50, 150),"cfg": (7, 15),"seed": (0, 999999)}for name, var in self.param_vars.items():value = var.get()min_val, max_val = ranges.get(name, (0, 999999))if not (min_val <= value <= max_val):raise ValueError(f"{name}参数超出范围 ({min_val}-{max_val})")def build_request_url(self, params):base_url = "https://image.pollinations.ai/prompt"encoded_prompt = requests.utils.quote(f'{params["prompt"]}, masterpiece, best quality')query = "&".join(f"{k}={v}" for k, v in params.items() if k not in ["prompt"])return f"{base_url}/{encoded_prompt}?{query}"def validate_response(self, response):if response.status_code != 200:raise ValueError(f"API错误: {response.status_code}")if "image" not in response.headers.get("Content-Type", ""):raise ValueError("无效的图片响应")if len(response.content) < 1024:raise ValueError("图片数据异常")def display_image(self, image_data):         """显示图片（自动缩放至预览区域）"""try:# 清除旧内容self.canvas.delete("all")# 加载并处理图片img = Image.open(BytesIO(image_data))self.original_image = img.copy()# 计算缩放比例img_width, img_height = img.sizecanvas_width = self.canvas.winfo_width()canvas_height = self.canvas.winfo_height()# 保持宽高比缩放ratio = min(canvas_width/img_width, canvas_height/img_height)new_size = (int(img_width*ratio), int(img_height*ratio))img = img.resize(new_size, Image.Resampling.LANCZOS)# 居中显示self.tk_image = ImageTk.PhotoImage(img)x = (canvas_width - new_size[0]) // 2y = (canvas_height - new_size[1]) // 2self.canvas.create_image(x, y, anchor=tk.NW, image=self.tk_image)except Exception as e:self.handle_error(e)def show_placeholder(self):"""显示占位符（居中显示）"""self.canvas.delete("all")placeholder = Image.new("RGB", self.preview_size, (240, 240, 240))self.tk_placeholder = ImageTk.PhotoImage(placeholder)x = (self.preview_size[0] - placeholder.width) // 2y = (self.preview_size[1] - placeholder.height) // 2self.canvas.create_image(x, y, anchor=tk.NW, image=self.tk_placeholder)def generate_image(self):try:self.update_status("正在验证输入参数...", "blue")self.validate_inputs()params = self.get_parameters()self.update_status("正在连接API服务器...", "blue")image_url = self.build_request_url(params)self.update_status("正在生成图像...", "blue")response = requests.get(image_url, timeout=15)self.update_status("正在验证响应数据...", "blue")self.validate_response(response)self.root.after(0, lambda: self.display_image(response.content))self.update_status("生成成功!", "green")self.param_vars["seed"].set(params["seed"] + 1)self.retry_count = 0self.save_btn.config(state=tk.NORMAL)except Exception as e:self.handle_error(e)finally:self.progress.stop()self.is_generating = Falseself.root.after(0, lambda: self.generate_btn.config(state=tk.NORMAL))def save_image(self):if not self.original_image:messagebox.showwarning("警告", "没有可保存的图片")returnfile_path = filedialog.asksaveasfilename(defaultextension=".png",filetypes=[("PNG文件", "*.png"), ("所有文件", "*.*")])if file_path:try:self.original_image.save(file_path)messagebox.showinfo("成功", "图片保存成功")except Exception as e:messagebox.showerror("错误", f"保存失败: {str(e)}")if __name__ == "__main__":root = tk.Tk()app = ImageGeneratorApp(root)root.mainloop()

OK！