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riyadhHDA/ wichforks
这是一份面向用户的任天堂Switch 2模拟器分支选用指南,帮助用户根据自身GPU、操作系统和想玩的游戏选择合适的分支构建。
AI 中文解读 · 根据仓库描述与 README 生成 · 2026/11/6 08:36:31 · 查看原文
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选用指南
AI 根据 README 整理 · 2026/11/6 08:36:31
- 适用场景
适用于在Windows、Linux、macOS或Android上运行Switch 2游戏,需要根据GPU和游戏选择合适模拟器分支的场景。
查看 README 依据
| Windows/Linux, NVIDIA, first install | [Djihads80/Eglantine](https://github.com/Djihads80/Eglantine/releases) | The central upstream: most tested, most builds, all-round compatibility | | AMD GPU (RDNA2+) | [MythosOfs/Orchid](https://github.com/MythosOfs/Orchid/releases) | Independent fork with AMD-focused shader and GPU fixes; developed on an RX 9070 XT | | Mario Kart World above all | [SmileyTatsu/Eglantine](https://github.com/SmileyTatsu/Eglantine/releases) | Recent builds 11/12; 45-50 FPS average and near 60 on AMD docked in independent reports |
B -->|PS5| D[EglantinePS5] B -->|Windows / Linux / macOS| E{GPU vendor} E -->|AMD| F{Main game?} F -->|Mario Kart World| G[SmileyTatsu] F -->|Donkey Kong Bananza| G2[Selevet or PokeDinner] F -->|Everything else| H[Orchid] E -->|NVIDIA| I{Main game?} I -->|Mario Kart World| J[SmileyTatsu] I -->|Bananza| K[Selevet or PokeDinner] I -->|Pokopia / Splatoon| K2[PokeDinner or notsapinho] I -->|OoT remake / Star Fox / Tennis| L[Lichii] I -->|Hyrule Warriors| M[Djihads80 build 202+ or rdenno] I -->|Everything else| N[Djihads80 Eglantine] ```
- 使用方式
通过阅读指南和决策树来选择分支,并参考社区报告和性能数据。
查看 README 依据
114 reports, 14 games, 63 CPU and GPU setups, and 37 reports in the 3-5 Nov window used for the first picks. 57 reports are NVIDIA, 34 AMD, 6 Steam Deck, and 17 have no named GPU.   The full [coverage page](docs/COVERAGE.md) has the game-by-GPU, game-by-CPU, build and setup tables. The normalized data is in [data/performance-reports.json](data/performance-reports.json). --- ## Decision tree ```mermaid flowchart TD A[Where are you playing?] --> B{Platform} B -->|Android| C[Banana Native]
B -->|PS5| D[EglantinePS5] B -->|Windows / Linux / macOS| E{GPU vendor} E -->|AMD| F{Main game?} F -->|Mario Kart World| G[SmileyTatsu] F -->|Donkey Kong Bananza| G2[Selevet or PokeDinner] F -->|Everything else| H[Orchid] E -->|NVIDIA| I{Main game?} I -->|Mario Kart World| J[SmileyTatsu] I -->|Bananza| K[Selevet or PokeDinner] I -->|Pokopia / Splatoon| K2[PokeDinner or notsapinho] I -->|OoT remake / Star Fox / Tennis| L[Lichii] I -->|Hyrule Warriors| M[Djihads80 build 202+ or rdenno] I -->|Everything else| N[Djihads80 Eglantine] ```
- 部署要求
需要自备游戏dump、prod.keys和固件;建议16GB RAM作为实际下限;Android需要Android 13+、Snapdragon/Adreno GPU和至少12GB RAM。
查看 README 依据
- Negative reports (won't boot, crashes) demote a fork for that game. They are as useful as positive ones. - Configs are compared by GPU class (vendor and generation), not exact card, so one RX 9070 XT report still helps other RDNA4 users. Reports are public. Don't post keys, firmware, ROMs or personal information. ## Setup checklist 1. Bring your own dump. You need your own game dump, `prod.keys` and firmware. None of these are included in any fork.
2. Update drivers first. Use current Vulkan drivers: Adrenalin on Windows AMD, Mesa RADV (git) on Linux AMD, and the current NVIDIA driver on NVIDIA. 3. Check RAM and pagefile. 16 GB RAM is a practical floor; PokeDinner asks for 12 GB DRAM and a 32 GB pagefile or swap. Close the browser. 4. Warm the shader cache. The first minutes stutter while pipelines compile. Never benchmark cold, and don't judge a build on the first launch. 5. Change one thing at a time: build, driver or settings. Then retest the same save and route.
6. Keep a known-good build. Zip the working folder before updating. Builds land hourly, and regressions are normal. 7. Prefer repo releases over repacks. Random "optimized" bundles are the main malware vector in this scene. Builds from GPL repos should have source available. ### Android specifics - Banana Native requires Android 13+, a Snapdragon/Adreno GPU and at least 12 GB of RAM. It was tested on a Snapdragon 8 Elite Gen 5 with 16 GB. - The game must be prepared once: 10-15 minutes on a Mac, or about an hour on the phone. Mario Kart World needs a Mac.
- 已知限制
所有构建均为实验性,可能随时回归;部分分支仅提供源代码,需自行构建;Droplet不支持加密文件,且在线功能仅限模拟器。
查看 README 依据
> Everything here is experimental. Builds land several times a day, regress without notice, and fork rankings depend on the game and driver. "Best" below means "best documented starting point for that use case on 6 Nov 2026", nothing more. The page is ordered by what people ask first: which fork to use, what has been tested, then setup and trust checks. --- ## Which fork should I use? | Your situation | Start here | Why | |---|---|---|
| Source-only | No prebuilt binary at check time; build it yourself. | --- ## The forks ### Djihads80/Eglantine: the central fork Runs on Windows, Linux and macOS, with NVIDIA, AMD and Intel GPUs. Claims here are documented. The reference Eglantine build, derived from Eden, Yuzu and Sudachi and started by Camille LaVey. At check time it had 4.1k stars, GPL-3.0, pre-release build-212 (4 Nov 2026), a daily-20261105 build and a v0.1.0-rc1 tag. Recent builds added NUP packaging (135), rumble (168) and DLSS through Streamline (189).
At check time the v0.1.2 tag exists but GitLab has no v0.1.2 binary release. The v0.1.1 Windows and Arch Linux binaries are still online, marked old/outdated. Build from source for v0.1.2; Windows uses MSYS2, and the Linux binary only targets Arch-based systems. Droplet is stricter than most forks: it cannot load keys or encrypted NCA, NAX, NSP or XCI files, and runs decrypted folders, NRO, NSO and KIP files only. It never connects to Nintendo's servers.
README
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收录信息
- 仓库创建时间
- 2026/11/5 22:47:29
- 首次达标收录
- 2026/11/6 08:31:53
- 统计更新时间
- 2026/11/6 09:41:17
按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。
模型评估
值得看加权总分 3.9 / 5
由 Jev 模型根据仓库描述与 README 评估,2026/11/6 08:31:53 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。
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- 2026/11/6 07:19:35
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