🎨 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/lama.py

@@ -0,0 +1,82 @@
+import os
+
+import cv2
+import numpy as np
+import torch
+
+from iopaint.helper import (
+    norm_img,
+    get_cache_path_by_url,
+    load_jit_model,
+    download_model,
+)
+from iopaint.schema import InpaintRequest
+from .base import InpaintModel
+
+LAMA_MODEL_URL = os.environ.get(
+    "LAMA_MODEL_URL",
+    "https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt",
+)
+LAMA_MODEL_MD5 = os.environ.get("LAMA_MODEL_MD5", "e3aa4aaa15225a33ec84f9f4bc47e500")
+
+ANIME_LAMA_MODEL_URL = os.environ.get(
+    "ANIME_LAMA_MODEL_URL",
+    "https://github.com/Sanster/models/releases/download/AnimeMangaInpainting/anime-manga-big-lama.pt",
+)
+ANIME_LAMA_MODEL_MD5 = os.environ.get(
+    "ANIME_LAMA_MODEL_MD5", "29f284f36a0a510bcacf39ecf4c4d54f"
+)
+
+
+class LaMa(InpaintModel):
+    name = "lama"
+    pad_mod = 8
+    is_erase_model = True
+
+    @staticmethod
+    def download():
+        download_model(LAMA_MODEL_URL, LAMA_MODEL_MD5)
+
+    def init_model(self, device, **kwargs):
+        self.model = load_jit_model(LAMA_MODEL_URL, device, LAMA_MODEL_MD5).eval()
+
+    @staticmethod
+    def is_downloaded() -> bool:
+        return os.path.exists(get_cache_path_by_url(LAMA_MODEL_URL))
+
+    def forward(self, image, mask, config: InpaintRequest):
+        """Input image and output image have same size
+        image: [H, W, C] RGB
+        mask: [H, W]
+        return: BGR IMAGE
+        """
+        image = norm_img(image)
+        mask = norm_img(mask)
+
+        mask = (mask > 0) * 1
+        image = torch.from_numpy(image).unsqueeze(0).to(self.device)
+        mask = torch.from_numpy(mask).unsqueeze(0).to(self.device)
+
+        inpainted_image = self.model(image, mask)
+
+        cur_res = inpainted_image[0].permute(1, 2, 0).detach().cpu().numpy()
+        cur_res = np.clip(cur_res * 255, 0, 255).astype("uint8")
+        cur_res = cv2.cvtColor(cur_res, cv2.COLOR_RGB2BGR)
+        return cur_res
+
+
+class AnimeLaMa(LaMa):
+    name = "anime-lama"
+
+    @staticmethod
+    def download():
+        download_model(ANIME_LAMA_MODEL_URL, ANIME_LAMA_MODEL_MD5)
+
+    def init_model(self, device, **kwargs):
+        self.model = load_jit_model(
+            ANIME_LAMA_MODEL_URL, device, ANIME_LAMA_MODEL_MD5
+        ).eval()
+
+    @staticmethod
+    def is_downloaded() -> bool:
+        return os.path.exists(get_cache_path_by_url(ANIME_LAMA_MODEL_URL))