Stripped models

[jazzhaiku]

Summary

Problem
We want to have automated tests for model classification/probing, but model files are too large to include in the source.

Proposed Solution
Classification/probing only requires metadata (key names, tensor shapes), not weights.
This PR introduces "stripped" models - lightweight versions that retains only essential metadata.

• Added script to strip models
• Added stripped models to automated tests

Model size before and after "stripping":

LLaVA Onevision Qwen2 0.5b-ov-hf before: 1.8 GB, after: 11.6 MB
text_encoder before: 246.1 MB, after: 35.6 kB
llava-onevision-qwen2-7b-si-hf before: 16.1 GB, after: 11.7 MB
RealESRGAN_x2plus.pth before: 67.1 MB, after: 143.0 kB
IP Adapter SD1 before: 2.5 GB, after: 94.9 kB
Hard Edge Detection (canny) before: 722.6 MB, after: 63.6 kB
Lineart before: 722.6 MB, after: 63.6 kB
Segmentation Map before: 722.6 MB, after: 63.6 kB
EasyNegative before: 24.7 kB, after: 151 Bytes
Face Reference (IP Adapter Plus Face) before: 98.2 MB, after: 13.7 kB
Standard Reference (IP Adapter) before: 44.6 MB, after: 6.0 kB
shinkai_makoto_offset before: 151.1 MB, after: 160.0 kB
thickline_fp16 before: 151.1 MB, after: 160.0 kB
Alien Style before: 228.5 MB, after: 582.6 kB
Noodles Style before: 228.5 MB, after: 582.6 kB
Juggernaut XL v9 before: 6.9 GB, after: 3.7 MB
dreamshaper-8 before: 168.9 MB, after: 1.6 MB

Related Issues / Discussions

QA Instructions

Merge Plan

Checklist

• The PR has a short but descriptive title, suitable for a changelog
• Tests added / updated (if applicable)
• Documentation added / updated (if applicable)
• Updated What's New copy (if doing a release after this PR)