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Clarify PULSE as tiny NERVE sibling

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  1. README.md +5 -3
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  **A tiny, deployment-first super-resolution network.**
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- PULSE is the speed/deployment tier of the **BODY** suite: a plain convolutional
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- SISR model built to be trained on a consumer GPU, converted without surprises,
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- and embedded almost anywhere.
 
 
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  - `pulse`: 48 channels, **353,856 parameters**
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  - `pulse_fast`: 32 channels, **162,192 parameters**
 
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  **A tiny, deployment-first super-resolution network.**
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+ PULSE is the **tiny/fast sibling of NERVE**: a much smaller convolutional SISR
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+ model with the same deployment-first philosophy. It trades capacity for size and
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+ speed, so it is less capable than NERVE and is intended for light cleanup and
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+ clean upscaling rather than heavy restoration. It trains on a consumer GPU,
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+ converts without surprises, and embeds almost anywhere.
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  - `pulse`: 48 channels, **353,856 parameters**
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  - `pulse_fast`: 32 channels, **162,192 parameters**