---
language:
- en
library_name: mir
---
#
> [!IMPORTANT]
> # MIR (Machine Intelligence Resource)
A naming schema for AIGC/ML work.
The MIR classification format seeks to standardize and complete a hyperlinked network of model information, improving accessibility and reproducibility across the AI community.
The work is inspired by:
- [AIR-URN](https://github.com/civitai/civitai/wiki/AIR-%E2%80%90-Uniform-Resource-Names-for-AI) project by [CivitAI](https://civitai.com/)
- [Spandrel](https://github.com/chaiNNer-org/spandrel/blob/main/libs/spandrel/spandrel/__helpers/registry.py) library's super-resolution registry
Example:
> [!NOTE]
> # mir :// model.vit.clip-vit-l-patch14:stable-diffusion-xl-1
```
mir : model . lora . hyper : flux-1
↑ ↑ ↑ ↑ ↑
[URI]://[Domain].[Architecture].[Series]:[Compatibility]
```
This dataset is a cache of hash values and layer names extracted from various models and saved to `json` files. Their purpose is for cataloging model architectures across a broad diversity of applications, and for building a comprehensive recognition network using MIR identifiers for [nnll](https://github.com/darkshapes/nnll). Code for this project can be found at [MIR](https://github.com/darkshapes/MIR) and [nnll](https://github.com/darkshapes/nnll) project pages.
More information about MIR available at [darkshapes wiki](https://github.com/darkshapes/sdbx/wiki/_MIR:-Usage)
