🎨 完整的 IOPaint 项目更新

## 主要更新
- ✨ 更新所有依赖到最新稳定版本
- 📝 添加详细的项目文档和模型推荐
- 🔧 配置 VSCode Cloud Studio 预览功能
- 🐛 修复 PyTorch API 弃用警告

## 依赖更新
- diffusers: 0.27.2 → 0.35.2
- gradio: 4.21.0 → 5.46.0
- peft: 0.7.1 → 0.18.0
- Pillow: 9.5.0 → 11.3.0
- fastapi: 0.108.0 → 0.116.2

## 新增文件
- CLAUDE.md - 项目架构和开发指南
- UPGRADE_NOTES.md - 详细的升级说明
- .vscode/preview.yml - 预览配置
- .vscode/LAUNCH_GUIDE.md - 启动指南
- .gitignore - 更新的忽略规则

## 代码修复
- 修复 iopaint/model/ldm.py 中的 torch.cuda.amp.autocast() 弃用警告

## 文档更新
- README.md - 添加模型推荐和使用指南
- 完整的项目源码（iopaint/）
- Web 前端源码（web_app/）

🤖 Generated with Claude Code

iopaint/model/helper/g_diffuser_bot.py

@@ -0,0 +1,62 @@
+import cv2
+import numpy as np
+
+
+def expand_image(cv2_img, top: int, right: int, bottom: int, left: int):
+    assert cv2_img.shape[2] == 3
+    origin_h, origin_w = cv2_img.shape[:2]
+
+    # TODO: which is better?
+    # new_img = np.ones((new_height, new_width, 3), np.uint8) * 255
+    new_img = cv2.copyMakeBorder(
+        cv2_img, top, bottom, left, right, cv2.BORDER_REPLICATE
+    )
+
+    inner_padding_left = 0 if left > 0 else 0
+    inner_padding_right = 0 if right > 0 else 0
+    inner_padding_top = 0 if top > 0 else 0
+    inner_padding_bottom = 0 if bottom > 0 else 0
+
+    mask_image = np.zeros(
+        (
+            origin_h - inner_padding_top - inner_padding_bottom,
+            origin_w - inner_padding_left - inner_padding_right,
+        ),
+        np.uint8,
+    )
+    mask_image = cv2.copyMakeBorder(
+        mask_image,
+        top + inner_padding_top,
+        bottom + inner_padding_bottom,
+        left + inner_padding_left,
+        right + inner_padding_right,
+        cv2.BORDER_CONSTANT,
+        value=255,
+    )
+    # k = 2*int(min(origin_h, origin_w) // 6)+1
+    # k = 7
+    # mask_image = cv2.GaussianBlur(mask_image, (k, k), 0)
+    return new_img, mask_image
+
+
+if __name__ == "__main__":
+    from pathlib import Path
+
+    current_dir = Path(__file__).parent.absolute().resolve()
+    image_path = "/Users/cwq/code/github/IOPaint/iopaint/tests/bunny.jpeg"
+    init_image = cv2.imread(str(image_path))
+    init_image, mask_image = expand_image(
+        init_image,
+        top=0,
+        right=0,
+        bottom=0,
+        left=100,
+        softness=20,
+        space=20,
+    )
+    print(mask_image.dtype, mask_image.min(), mask_image.max())
+    print(init_image.dtype, init_image.min(), init_image.max())
+    mask_image = mask_image.astype(np.uint8)
+    init_image = init_image.astype(np.uint8)
+    cv2.imwrite("expanded_image.png", init_image)
+    cv2.imwrite("expanded_mask.png", mask_image)