feason · feason · Aug 8, 2025
diff --git a/README.md b/README.md
@@ -1,181 +1,74 @@
-# Stable Diffusion web UI
-A browser interface based on Gradio library for Stable Diffusion.
-
-![](screenshot.png)
-
-## Features
-[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
-- Original txt2img and img2img modes
-- One click install and run script (but you still must install python and git)
-- Outpainting
-- Inpainting
-- Color Sketch
-- Prompt Matrix
-- Stable Diffusion Upscale
-- Attention, specify parts of text that the model should pay more attention to
-    - a man in a `((tuxedo))` - will pay more attention to tuxedo
-    - a man in a `(tuxedo:1.21)` - alternative syntax
-    - select text and press `Ctrl+Up` or `Ctrl+Down` (or `Command+Up` or `Command+Down` if you're on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user)
-- Loopback, run img2img processing multiple times
-- X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters
-- Textual Inversion
-    - have as many embeddings as you want and use any names you like for them
-    - use multiple embeddings with different numbers of vectors per token
-    - works with half precision floating point numbers
-    - train embeddings on 8GB (also reports of 6GB working)
-- Extras tab with:
-    - GFPGAN, neural network that fixes faces
-    - CodeFormer, face restoration tool as an alternative to GFPGAN
-    - RealESRGAN, neural network upscaler
-    - ESRGAN, neural network upscaler with a lot of third party models
-    - SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
-    - LDSR, Latent diffusion super resolution upscaling
-- Resizing aspect ratio options
-- Sampling method selection
-    - Adjust sampler eta values (noise multiplier)
-    - More advanced noise setting options
-- Interrupt processing at any time
-- 4GB video card support (also reports of 2GB working)
-- Correct seeds for batches
-- Live prompt token length validation
-- Generation parameters
-     - parameters you used to generate images are saved with that image
-     - in PNG chunks for PNG, in EXIF for JPEG
-     - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
-     - can be disabled in settings
-     - drag and drop an image/text-parameters to promptbox
-- Read Generation Parameters Button, loads parameters in promptbox to UI
-- Settings page
-- Running arbitrary python code from UI (must run with `--allow-code` to enable)
-- Mouseover hints for most UI elements
-- Possible to change defaults/mix/max/step values for UI elements via text config
-- Tiling support, a checkbox to create images that can be tiled like textures
-- Progress bar and live image generation preview
-    - Can use a separate neural network to produce previews with almost none VRAM or compute requirement
-- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
-- Styles, a way to save part of prompt and easily apply them via dropdown later
-- Variations, a way to generate same image but with tiny differences
-- Seed resizing, a way to generate same image but at slightly different resolution
-- CLIP interrogator, a button that tries to guess prompt from an image
-- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
-- Batch Processing, process a group of files using img2img
-- Img2img Alternative, reverse Euler method of cross attention control
-- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
-- Reloading checkpoints on the fly
-- Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
-- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
-- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
-     - separate prompts using uppercase `AND`
-     - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
-- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
-- DeepDanbooru integration, creates danbooru style tags for anime prompts
-- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
-- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
-- Generate forever option
-- Training tab
-     - hypernetworks and embeddings options
-     - Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
-- Clip skip
-- Hypernetworks
-- Loras (same as Hypernetworks but more pretty)
-- A separate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt 
-- Can select to load a different VAE from settings screen
-- Estimated completion time in progress bar
-- API
-- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
-- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
-- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
-- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
-- Now without any bad letters!
-- Load checkpoints in safetensors format
-- Eased resolution restriction: generated image's dimensions must be a multiple of 8 rather than 64
-- Now with a license!
-- Reorder elements in the UI from settings screen
-- [Segmind Stable Diffusion](https://huggingface.co/segmind/SSD-1B) support
-
-## Installation and Running
-Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for:
-- [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended)
-- [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
-- [Intel CPUs, Intel GPUs (both integrated and discrete)](https://github.com/openvinotoolkit/stable-diffusion-webui/wiki/Installation-on-Intel-Silicon) (external wiki page)
-
-Alternatively, use online services (like Google Colab):
-
-- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
-
-### Installation on Windows 10/11 with NVidia-GPUs using release package
-1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract its contents.
-2. Run `update.bat`.
-3. Run `run.bat`.
-> For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
-
-### Automatic Installation on Windows
-1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
-2. Install [git](https://git-scm.com/download/win).
-3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
-4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
-
-### Automatic Installation on Linux
-1. Install the dependencies:
-```bash
-# Debian-based:
-sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
-# Red Hat-based:
-sudo dnf install wget git python3 gperftools-libs libglvnd-glx 
-# openSUSE-based:
-sudo zypper install wget git python3 libtcmalloc4 libglvnd
-# Arch-based:
-sudo pacman -S wget git python3
-```
-2. Navigate to the directory you would like the webui to be installed and execute the following command:
-```bash
-wget -q https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh
-```
-3. Run `webui.sh`.
-4. Check `webui-user.sh` for options.
-### Installation on Apple Silicon
-
-Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
-
-## Contributing
-Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
-
-## Documentation
-
-The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
-
-For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
-
-## Credits
-Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
-
-- Stable Diffusion - https://github.com/Stability-AI/stablediffusion, https://github.com/CompVis/taming-transformers
-- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
-- GFPGAN - https://github.com/TencentARC/GFPGAN.git
-- CodeFormer - https://github.com/sczhou/CodeFormer
-- ESRGAN - https://github.com/xinntao/ESRGAN
-- SwinIR - https://github.com/JingyunLiang/SwinIR
-- Swin2SR - https://github.com/mv-lab/swin2sr
-- LDSR - https://github.com/Hafiidz/latent-diffusion
-- MiDaS - https://github.com/isl-org/MiDaS
-- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
-- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
-- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
-- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
-- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
-- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
-- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
-- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
-- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
-- xformers - https://github.com/facebookresearch/xformers
-- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
-- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
-- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
-- Security advice - RyotaK
-- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
-- TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
-- LyCORIS - KohakuBlueleaf
-- Restart sampling - lambertae - https://github.com/Newbeeer/diffusion_restart_sampling
-- Hypertile - tfernd - https://github.com/tfernd/HyperTile
-- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
-- (You)
+# 🐍 贪吃蛇游戏
+
+一个现代化的贪吃蛇游戏，使用原生HTML5、CSS3和JavaScript开发。
+
+## 🎮 游戏特色
+
+- **现代化UI设计**：美观的渐变背景和流畅的动画效果
+- **响应式布局**：支持桌面和移动设备
+- **流畅的游戏体验**：60FPS的游戏循环和平滑的移动动画
+- **智能控制系统**：
+  - 键盘控制（方向键）
+  - 触摸手势控制（滑动）
+  - 暂停/继续功能（空格键）
+- **视觉特效**：
+  - 食物吃取粒子效果
+  - 蛇头眼睛跟随移动方向
+  - 游戏结束震动效果
+- **分数系统**：本地存储最高分记录
+- **渐进难度**：随着分数增加，游戏速度逐渐提升
+
+## 🎯 游戏玩法
+
+1. 点击"开始游戏"按钮开始
+2. 使用方向键或触摸滑动控制蛇的移动方向
+3. 吃到红色食物会增长身体和分数
+4. 避免撞墙或撞到自己的身体
+5. 按空格键可以暂停/继续游戏
+
+## 🎨 技术实现
+
+- **HTML5 Canvas**：游戏渲染引擎
+- **CSS3**：现代化样式和动画效果
+- **JavaScript ES6+**：游戏逻辑和状态管理
+- **本地存储**：最高分数据持久化
+- **响应式设计**：适配不同设备尺寸
+
+## 🚀 如何运行
+
+1. 直接在浏览器中打开 `index.html` 文件
+2. 或者使用本地服务器（推荐）：
+   ```bash
+   # 使用Python
+   python -m http.server 8000
+
+   # 使用Node.js
+   npx serve .
+   ```
+3. 在浏览器中访问 `http://localhost:8000`
+
+## 📱 控制说明
+
+### 桌面端
+- **方向键**：↑ ↓ ← → 控制移动方向
+- **空格键**：暂停/继续游戏
+
+### 移动端
+- **滑动手势**：上下左右滑动控制移动方向
+- **点击**：暂停/继续游戏
+
+## 🏆 游戏机制
+
+- **基础分数**：每吃一个食物获得10分
+- **速度提升**：每吃一个食物，游戏速度略微增加
+- **最高分**：自动保存并显示历史最高分
+- **碰撞检测**：撞墙或撞身体游戏结束
+
+## 🎉 特殊效果
+
+- **粒子系统**：吃食物时的视觉反馈
+- **动态眼睛**：蛇头眼睛根据移动方向变化
+- **渐变身体**：蛇身透明度递减效果
+- **食物高光**：食物的立体光泽效果
+
+享受游戏吧！🎮
diff --git a/index.html b/index.html
@@ -0,0 +1,51 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>贪吃蛇游戏</title>
+    <link rel="stylesheet" href="style.css">
+</head>
+<body>
+    <div class="game-container">
+        <header class="game-header">
+            <h1>🐍 贪吃蛇游戏</h1>
+            <div class="score-board">
+                <div class="score">分数: <span id="score">0</span></div>
+                <div class="high-score">最高分: <span id="high-score">0</span></div>
+            </div>
+        </header>
+
+        <div class="game-area">
+            <canvas id="gameCanvas" width="400" height="400"></canvas>
+            <div class="game-overlay" id="gameOverlay">
+                <div class="game-message" id="gameMessage">
+                    <h2>游戏开始</h2>
+                    <p>使用方向键控制贪吃蛇移动</p>
+                    <p>吃到食物会增长身体和分数</p>
+                    <button id="startBtn" class="game-btn">开始游戏</button>
+                </div>
+            </div>
+        </div>
+
+        <div class="controls">
+            <div class="control-instructions">
+                <p>🎮 控制说明:</p>
+                <div class="key-instructions">
+                    <span class="key">↑</span>
+                    <span class="key">↓</span>
+                    <span class="key">←</span>
+                    <span class="key">→</span>
+                    <span>方向键移动</span>
+                </div>
+                <div class="key-instructions">
+                    <span class="key">空格</span>
+                    <span>暂停/继续</span>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <script src="script.js"></script>
+</body>
+</html>