🎨 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/manga.py

@@ -0,0 +1,97 @@
+import os
+import random
+
+import cv2
+import numpy as np
+import torch
+import time
+from loguru import logger
+
+from iopaint.helper import get_cache_path_by_url, load_jit_model, download_model
+from .base import InpaintModel
+from iopaint.schema import InpaintRequest
+
+
+MANGA_INPAINTOR_MODEL_URL = os.environ.get(
+    "MANGA_INPAINTOR_MODEL_URL",
+    "https://github.com/Sanster/models/releases/download/manga/manga_inpaintor.jit",
+)
+MANGA_INPAINTOR_MODEL_MD5 = os.environ.get(
+    "MANGA_INPAINTOR_MODEL_MD5", "7d8b269c4613b6b3768af714610da86c"
+)
+
+MANGA_LINE_MODEL_URL = os.environ.get(
+    "MANGA_LINE_MODEL_URL",
+    "https://github.com/Sanster/models/releases/download/manga/erika.jit",
+)
+MANGA_LINE_MODEL_MD5 = os.environ.get(
+    "MANGA_LINE_MODEL_MD5", "0c926d5a4af8450b0d00bc5b9a095644"
+)
+
+
+class Manga(InpaintModel):
+    name = "manga"
+    pad_mod = 16
+    is_erase_model = True
+
+    def init_model(self, device, **kwargs):
+        self.inpaintor_model = load_jit_model(
+            MANGA_INPAINTOR_MODEL_URL, device, MANGA_INPAINTOR_MODEL_MD5
+        )
+        self.line_model = load_jit_model(
+            MANGA_LINE_MODEL_URL, device, MANGA_LINE_MODEL_MD5
+        )
+        self.seed = 42
+
+    @staticmethod
+    def download():
+        download_model(MANGA_INPAINTOR_MODEL_URL, MANGA_INPAINTOR_MODEL_MD5)
+        download_model(MANGA_LINE_MODEL_URL, MANGA_LINE_MODEL_MD5)
+
+    @staticmethod
+    def is_downloaded() -> bool:
+        model_paths = [
+            get_cache_path_by_url(MANGA_INPAINTOR_MODEL_URL),
+            get_cache_path_by_url(MANGA_LINE_MODEL_URL),
+        ]
+        return all([os.path.exists(it) for it in model_paths])
+
+    def forward(self, image, mask, config: InpaintRequest):
+        """
+        image: [H, W, C] RGB
+        mask: [H, W, 1]
+        return: BGR IMAGE
+        """
+        seed = self.seed
+        random.seed(seed)
+        np.random.seed(seed)
+        torch.manual_seed(seed)
+        torch.cuda.manual_seed_all(seed)
+
+        gray_img = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+        gray_img = torch.from_numpy(
+            gray_img[np.newaxis, np.newaxis, :, :].astype(np.float32)
+        ).to(self.device)
+        start = time.time()
+        lines = self.line_model(gray_img)
+        torch.cuda.empty_cache()
+        lines = torch.clamp(lines, 0, 255)
+        logger.info(f"erika_model time: {time.time() - start}")
+
+        mask = torch.from_numpy(mask[np.newaxis, :, :, :]).to(self.device)
+        mask = mask.permute(0, 3, 1, 2)
+        mask = torch.where(mask > 0.5, 1.0, 0.0)
+        noise = torch.randn_like(mask)
+        ones = torch.ones_like(mask)
+
+        gray_img = gray_img / 255 * 2 - 1.0
+        lines = lines / 255 * 2 - 1.0
+
+        start = time.time()
+        inpainted_image = self.inpaintor_model(gray_img, lines, mask, noise, ones)
+        logger.info(f"image_inpaintor_model time: {time.time() - start}")
+
+        cur_res = inpainted_image[0].permute(1, 2, 0).detach().cpu().numpy()
+        cur_res = (cur_res * 127.5 + 127.5).astype(np.uint8)
+        cur_res = cv2.cvtColor(cur_res, cv2.COLOR_GRAY2BGR)
+        return cur_res