## 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
72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
import os
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import io
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from PIL import Image
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from iopaint.helper import pil_to_bytes
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TESTS_DIR = os.path.dirname(os.path.abspath(__file__))
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def test_jpeg_quality():
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# Test JPEG quality settings
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img_path = os.path.join(TESTS_DIR, "bunny.jpeg")
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pil_img = Image.open(img_path)
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# Test different quality settings
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high_quality = pil_to_bytes(pil_img, "jpg", quality=95)
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low_quality = pil_to_bytes(pil_img, "jpg", quality=50)
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# Print file sizes in KB
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print(f"High quality JPEG size: {len(high_quality) / 1024:.2f} KB")
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print(f"Low quality JPEG size: {len(low_quality) / 1024:.2f} KB")
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# Higher quality should result in larger file size
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assert len(high_quality) > len(low_quality)
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# Verify the output can be opened as an image
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Image.open(io.BytesIO(high_quality))
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Image.open(io.BytesIO(low_quality))
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def test_png_parameters():
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# Test PNG with parameters
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img_path = os.path.join(TESTS_DIR, "cat.png")
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pil_img = Image.open(img_path)
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# Test PNG with parameters
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params = {"parameters": "test_param=value"}
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png_with_params = pil_to_bytes(pil_img, "png", infos=params)
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# Test PNG without parameters
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png_without_params = pil_to_bytes(pil_img, "png")
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# Print file sizes in KB
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print(f"PNG with parameters size: {len(png_with_params) / 1024:.2f} KB")
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print(f"PNG without parameters size: {len(png_without_params) / 1024:.2f} KB")
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# Verify both outputs can be opened as images
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Image.open(io.BytesIO(png_with_params))
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Image.open(io.BytesIO(png_without_params))
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def test_format_conversion():
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# Test format conversion
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jpeg_path = os.path.join(TESTS_DIR, "bunny.jpeg")
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png_path = os.path.join(TESTS_DIR, "cat.png")
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# Convert JPEG to PNG
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jpeg_img = Image.open(jpeg_path)
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jpeg_to_png = pil_to_bytes(jpeg_img, "png")
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converted_png = Image.open(io.BytesIO(jpeg_to_png))
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print(f"JPEG to PNG size: {len(jpeg_to_png) / 1024:.2f} KB")
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assert converted_png.format.lower() == "png"
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# Convert PNG to JPEG
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png_img = Image.open(png_path)
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# Convert RGBA to RGB if necessary
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if png_img.mode == "RGBA":
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png_img = png_img.convert("RGB")
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png_to_jpeg = pil_to_bytes(png_img, "jpg")
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print(f"PNG to JPEG size: {len(png_to_jpeg) / 1024:.2f} KB")
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converted_jpeg = Image.open(io.BytesIO(png_to_jpeg))
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assert converted_jpeg.format.lower() == "jpeg"
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