Macula

Shaders mod for Minecraft Beta 1.7.3 updated to include more features, like dynamic shadows.

7.2K Downloads

fabricdecoration

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About this Mod

Macula is a shaders mod for Minecraft Beta 1.7.3 Fabric fork named Babric.

To install it you simply need to get the Babric instance, install it in your launcher of choice, and use Macula as a usual Fabric mod.

Modern shaderpacks will almost 100% not work or will look extremely broken. But you can find some old ones in the legacy Minecraft Discord servers, such as Mango pack - https://discord.gg/y8xyzvZnjS

Available Versions

Macula 1.1release

MC b1.7.3fabric

August 17, 2023

How to Install Macula on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set fabric Loader

In the panel under "Egg", select the fabric loader and matching Minecraft version (b1.7.3).

Install Mod

Open the mod browser in the dashboard and search for "Macula". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

fabric

Minecraft Versions

b1.7.3

Server-side

✗ Unsupported

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Macula server crashes on startup – what to do?

Most common cause: wrong fabric version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (b1.7.3). You can switch loaders with one click in the panel.

Is Macula compatible with fabric?

Macula officially supports fabric for Minecraft b1.7.3. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Macula – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Macula consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.