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for phenomenal work collecting pristine state dicts and related information
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---
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language:
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- en
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---
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massive thank you to [@silveroxides](https://huggingface.co/silveroxides) for phenomenal work collecting pristine state dicts and related information
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#
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# MIR (Machine Intelligence Resource)
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#
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is a naming standard, a schema for ML work.<br>
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In its current incarnation, it looks like this:
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# ```mir:transformer.clip-l.stable-diffusion-xl-base```
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It is formed from a combination the original work from CivitAi [AIR-URN](https://github.com/civitai/civitai/wiki/AIR-%E2%80%90-Uniform-Resource-Names-for-AI) project<br>
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and the super-resolution registry code from the [Spandrel](https://github.com/chaiNNer-org/spandrel/blob/main/libs/spandrel/spandrel/__helpers/registry.py) library.
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## Goals
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- Standard identification scheme for all ML-related development
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- Rapid retrieval of resources and metadata
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- Efficient and reliable compatability checks
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- Hyperparameter management
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- Simplification of code for model-related logistics
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