mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 16:40:24 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
28 lines
864 B
JSON
28 lines
864 B
JSON
{
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"_comment": "Standalone 4x upscale of an input image using ESRGAN. Required model: 4x-UltraSharp.pth (or any upscaler in models/upscale_models/). Upload with --input-image image=./photo.png.",
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"1": {
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"class_type": "LoadImage",
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"_meta": {"title": "Load Image"},
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"inputs": {"image": "REPLACE_WITH_UPLOADED_FILENAME.png"}
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},
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"2": {
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"class_type": "UpscaleModelLoader",
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"_meta": {"title": "Load Upscale Model"},
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"inputs": {"model_name": "4x-UltraSharp.pth"}
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},
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"3": {
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"class_type": "ImageUpscaleWithModel",
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"_meta": {"title": "Upscale Image (with Model)"},
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"inputs": {
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"upscale_method": "lanczos",
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"upscale_model": ["2", 0],
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"image": ["1", 0]
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}
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},
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"4": {
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"class_type": "SaveImage",
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"_meta": {"title": "Save"},
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"inputs": {"filename_prefix": "upscaled_4x", "images": ["3", 0]}
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}
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}
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