1b87a98261
## 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
83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
import os
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import cv2
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import numpy as np
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import torch
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from iopaint.helper import (
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norm_img,
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get_cache_path_by_url,
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load_jit_model,
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download_model,
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)
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from iopaint.schema import InpaintRequest
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from .base import InpaintModel
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LAMA_MODEL_URL = os.environ.get(
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"LAMA_MODEL_URL",
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"https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt",
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)
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LAMA_MODEL_MD5 = os.environ.get("LAMA_MODEL_MD5", "e3aa4aaa15225a33ec84f9f4bc47e500")
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ANIME_LAMA_MODEL_URL = os.environ.get(
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"ANIME_LAMA_MODEL_URL",
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"https://github.com/Sanster/models/releases/download/AnimeMangaInpainting/anime-manga-big-lama.pt",
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)
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ANIME_LAMA_MODEL_MD5 = os.environ.get(
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"ANIME_LAMA_MODEL_MD5", "29f284f36a0a510bcacf39ecf4c4d54f"
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)
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class LaMa(InpaintModel):
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name = "lama"
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pad_mod = 8
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is_erase_model = True
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@staticmethod
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def download():
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download_model(LAMA_MODEL_URL, LAMA_MODEL_MD5)
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def init_model(self, device, **kwargs):
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self.model = load_jit_model(LAMA_MODEL_URL, device, LAMA_MODEL_MD5).eval()
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@staticmethod
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def is_downloaded() -> bool:
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return os.path.exists(get_cache_path_by_url(LAMA_MODEL_URL))
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def forward(self, image, mask, config: InpaintRequest):
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"""Input image and output image have same size
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image: [H, W, C] RGB
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mask: [H, W]
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return: BGR IMAGE
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"""
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image = norm_img(image)
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mask = norm_img(mask)
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mask = (mask > 0) * 1
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image = torch.from_numpy(image).unsqueeze(0).to(self.device)
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mask = torch.from_numpy(mask).unsqueeze(0).to(self.device)
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inpainted_image = self.model(image, mask)
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cur_res = inpainted_image[0].permute(1, 2, 0).detach().cpu().numpy()
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cur_res = np.clip(cur_res * 255, 0, 255).astype("uint8")
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cur_res = cv2.cvtColor(cur_res, cv2.COLOR_RGB2BGR)
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return cur_res
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class AnimeLaMa(LaMa):
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name = "anime-lama"
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@staticmethod
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def download():
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download_model(ANIME_LAMA_MODEL_URL, ANIME_LAMA_MODEL_MD5)
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def init_model(self, device, **kwargs):
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self.model = load_jit_model(
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ANIME_LAMA_MODEL_URL, device, ANIME_LAMA_MODEL_MD5
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).eval()
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@staticmethod
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def is_downloaded() -> bool:
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return os.path.exists(get_cache_path_by_url(ANIME_LAMA_MODEL_URL))
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