feat: no VRAM plan, the prediction config asks for a measured batch

Drop the config keys konfai 1.8 no longer reads

Rename ResampleToResolution to Resample, the spelling konfai 1.8 accepts

Add per-app icons and declare the app task

fix: name the output group after the module the model exposes

Block-level ResidualEncoderUNet.yml + clean-key checkpoint (forward-exact 0.0)

Reference parametric ResidualEncoderUNet in the prediction config

Use parametric ResidualEncoderUNet (config classpath+params) + clean-key checkpoint, forward-exact 0.0

perf: recalibrate vram_plan (leave GPU headroom) + refresh perf README

Fix model-intrinsic params in the model (input channels / class count / network architecture) instead of exposing them in the config

app.json: drop redundant top-level patch_size (now read from Prediction.yml)

Update model card, app.json (patch size + VRAM plan) and inference configs

Update body model

Update body model

Update body/app.json

Add ImpactSeg body

initial commit