---
language:
- en
library_name: mir
license: bsd
tags:
- code
- weight_maps
- layer_metadata
size_categories:
- n<1K
---
```yaml
language:
- en
library_name: mir
license: bsd
tags:
- code
- weight_maps
- layer_metadata
size_categories:
- n<1K
```

<div align="center"><img src="https://github.com/darkshapes/entity-statement/raw/main/png/mir/mir300_dark.png" width="25%"></div>


#
> [!IMPORTANT]
> # MIR (Machine Intelligence Resource)<br><br>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.<br>
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_l : stable_diffusion_xl


```
 mir:// model .    lora      .    hyper    :   flux_1
  ↑      ↑         ↑               ↑            ↑
 [URI]:[Domain].[Architecture].[Series]:[Compatibility]
```

Code for this project can be found at [darkshapes/MIR on GitHub](https://github.com/darkshapes/MIR)
```py
from datasets import load_dataset

weight_maps = load_dataset("darkshapes/mir", data_dir="weight_maps")
```