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--- |
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language: |
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- en |
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library_name: mir |
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--- |
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<div align="center"><img src="https://github.com/darkshapes/MIR/raw/main/img_src/mir300_dark.png" width="25%"></div> |
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# |
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> [!IMPORTANT] |
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> # MIR (Machine Intelligence Resource)<br><br>A naming schema for AIGC/ML work. |
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The MIR classification format seeks to standardize and complete a hyperlinked network of model information, improving accessibility and reproducibility across the AI community.<br> |
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The work is inspired by: |
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- [AIR-URN](https://github.com/civitai/civitai/wiki/AIR-%E2%80%90-Uniform-Resource-Names-for-AI) project by [CivitAI](https://civitai.com/) |
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- [Spandrel](https://github.com/chaiNNer-org/spandrel/blob/main/libs/spandrel/spandrel/__helpers/registry.py) library's super-resolution registry |
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Example: |
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> [!NOTE] |
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> # mir :// model.vit.clip-vit-l-patch14:stable-diffusion-xl-1 |
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``` |
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mir : model . lora . hyper : flux-1 |
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↑ ↑ ↑ ↑ ↑ |
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[URI]://[Domain].[Architecture].[Series]:[Compatibility] |
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``` |
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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. |
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More information about MIR available at [darkshapes wiki](https://github.com/darkshapes/sdbx/wiki/_MIR:-Usage) |
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