An all-purpose window upscaler for Windows 10/11.
这个预览版包含了一个全新的渲染系统，它已经开发了很久 #643，终于准备好和大家见面了。感谢在开发过程中提供无私帮助的贡献者们。
This preview version features a brand new rendering system that has been in development for quite some time #643, and is finally ready to be unveiled. We extend our gratitude to the contributors who generously assisted throughout the development process.
一个支持 ONNX 模型的实验性版本，如果遇到任何问题请在 #772 中讨论。
不支持通过 UI 指定 ONNX 模型，你应该编辑根目录中的 model.json。
示例：
{
"path": "2x_AnimeJaNai_HD_V3_UltraCompact_425k-fp16.onnx",
"scale": 2,
"backend": "directml"
}
path：ONNX 文件路径
scale：模型的缩放倍率，应和 ONNX 文件匹配，否则将缩放失败。只支持整数倍缩放。
backend：使用的推理后端，支持三种后端
directml，也可以简写为 d
tensorrt，也可以简写为 t
cuda，也可以简写为 c
缩放时会将该模型应用于第一个效果之前，目前没有方法来改变这个行为。
下面是流行的架构的支持情况：
| 架构 | 是否支持 |
|---|---|
| CUGAN | × |
| ESRGAN | √ |
| SPAN | √ |
| WAIFU2X | √ |
为了在 Magpie 中使用，ONNX 模型必须符合以下要求：
Magpie 使用 onnxruntime 执行推理，因此除了上述条件，该模型还必须被 onnxruntime 支持。
你可以在这里找到很多 ONNX 模型，其中 CUGAN 架构之外的模型都是可以使用的。OpenModelDB 也记录了大量模型。
支持三种后端：DirectML，TensorRT 和 CUDA。在性能上，通常情况下 TensorRT > DirectML > CUDA。
ONNX 支持将不会出现在下一个主要版本中。为了正式支持它，还有很多工作要做，包括导入、管理、优化 ONNX 模型，以及 UI 优化也在计划中。如果你有任何的想法、点子，欢迎和我们分享。
This is an experimental version with support for ONNX models. If you encounter any issues, please report them in #772.
You cannot specify ONNX models using the UI. You need to modify the model.json file in the root directory.
Example:
{
"path": "2x_AnimeJaNai_HD_V3_UltraCompact_425k-fp16.onnx",
"scale": 2,
"backend": "directml"
}
path: The location of the ONNX file.
scale: The scaling factor of the model, which must be consistent with the ONNX file, or else scaling will fail. Only integer scaling is allowed.
backend: The inference backend to use, which supports three options:
directml, also shortened as d
tensorrt, also shortened as t
cuda, also shortened as c
When scaling, the model will be applied before the first effect; there is no option to change this behavior at the moment.
The table below shows the compatibility with popular architectures:
| Architecture | Compatible |
|---|---|
| CUGAN | × |
| ESRGAN | √ |
| SPAN | √ |
| WAIFU2X | √ |
To run an ONNX model in Magpie, the model must follow these rules:
Magpie uses onnxruntime for inference, so the model must be compatible with onnxruntime, as well as the rules above.
You can access many ONNX models here, and all models except for the CUGAN architecture work. OpenModelDB also has a large database of models.
You can choose from three backends: DirectML, TensorRT, and CUDA. They have different performance levels, with TensorRT being the fastest, followed by DirectML and CUDA.
We will not add ONNX support in the next major release. We still have a lot of work to do to fully support it, such as importing, managing, and optimizing ONNX models. If you have any ideas or suggestions, feel free to share them with us.
已知问题：启用“始终以管理员身份运行”后无法启动
这是 Magpie 诞生以来最重大的更新，感谢每一位贡献代码、翻译以及提供反馈的人。
感谢 @yakymoto 和 @0x4E69676874466F78 分别贡献了英语和俄语翻译。
运行环境变更
新功能
修复
效果变更
仍在征集新图标 #370
运行环境变更
不再需要 MSVC 运行时。现在无需用户安装任何环境。
新功能
修复
效果变更
添加 Deband #472 #479 （感谢 @kato-megumi）