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Model Forge GUI feature map

The user app voxprint-model-forge (voxprint_forge.app) runs on the shared Yitro shell, voxprint-common v0.4.1 (tag commit 0ea02df5), surface model-forge. It is the LoRA trainer from the plan (project-notes model-forge/LORA-TRAINER-GUI-PLAN.md, 7b824cf with the decisions in f2104ea and the v1 ship list a0e8c0a). Every LoRA step runs voxprint-forge-cli lora ... --json; the window shows the engine's events and never filters or gates a photo itself.

The pre-Yitro operator window (forge-gui, voxprint_forge.gui) is retired from the user app. It stays in the tree for internal VM work and is not shipped. Its features are CLI-only for users.

Status is mapped, CLI-only, operator-only (internal mirror work, not a user feature), waits-engine (the control calls a lora command this build does not have yet and says so in plain words), or dropped.

LoRA trainer (CLI lora)

Feature CLI Where it lives now Status
Photos add/remove, folders, drag and drop --photo, --photos, --exclude Train a model → Photos mapped
Photo limits Simple 10-30; --allow-count-outside-range (floor 5) Photos: Next gate; Expert mode warns outside 10-30 mapped
What it is --kind person\|object\|style Photos: chips mapped
Name, Stage name, Trigger --name, --stage-name, --trigger Subject and consent mapped
Consent and 18+ (person) --consent-obtained, --consent-method verbal\|file, --subject-adult Subject and consent: Consent obtained with Verbal on its right (or attach a release), 18+ mapped
Adult content (person, 18+) --adult-content Subject and consent: right of 18+, shown only while 18+ is ticked mapped
Rights (object, style) --rights-confirmed Subject and consent: one required box per kind mapped
Model release, provenance note --release, --provenance-note Subject and consent mapped
Crop --crop subject\|whole Check and prepare: chips mapped
Prepare (filter, safety gate, crop, captions) lora prepare Check and prepare: Check photos mapped
Safety drops drops.jsonl Check and prepare: Set aside list; no override anywhere mapped
Caption edit --captions FILE Check and prepare: review table (edits go to --captions) mapped
Caption model --caption-model Expert panel (Check and prepare) mapped
Blur / duplicate thresholds --min-side, --blur-threshold, --dup-threshold — (engine defaults; GUI control is a follow-up) CLI-only
Preset, likeness, memory --preset, --likeness, --vram Train: chips; values are live on the Expert panel mapped
Base model --base (MDL id) Train: combo from the engine base registry mapped
Test pictures --previews/--no-previews, --preview-every Train: checkbox; Expert panel mapped
Preview prompts --preview-prompts FILE — CLI-only
Rank, alpha, steps, lr, scheduler, warm-up, batch, grad accum, resolution, precision, checkpointing, text encoder, caption mode, caption dropout, seed, save every Expert flags Expert panel (Train) mapped
Replay share --replay Expert panel (Train), sent for extend mapped
Estimate time --dry-run Train: Estimate time mapped
Train / Pause / Continue / Stop lora train, <project>/PAUSE file, --resume Train: buttons, plain-words progress and time left mapped
Live progress lora status, <project>/train.json Train: the step line and bar read train.json while a job runs mapped
Review rounds lora train --review-rounds --first-round-steps --first-round-samples --samples-per-round --sample-steps, lora review, lora continue, lora continue --unattended, lora finish Train: review rounds (1–6, default 3) and first-round steps under Details; review screen with Continue with reinforcement, Just continue, and Finish when Extend the set from samples is on mapped
Extend lora extend --from Result: Add more photos; overflow: Add more photos to a model mapped
Checkpoint pick --checkpoint N Result: Version mapped
Save lora export --out Result: Save; overflow: Export mapped
Open in Canvas lora export --install-to-mdl Result: Open in Canvas mapped
Preview strength slider — (no engine call for previews at a strength yet) — waits-engine
Open project project folder overflow: Open project mapped
User guide docs/manual (rendered by scripts/build_guide.py into app/guide/) overflow: Open guide, offline, in the app language mapped
Manage models voxprint-mdl --gui --app model-forge --manifest {app}\\mdl.json overflow: Manage models; Check this computer mapped
Graphics card, memory, disk, models preflight, disk, MDL ready Check this computer mapped

Operator window (forge-gui, retired from the user app)

Feature Where it was Where it lives now Status
Check before run operator window button forge preflight; for users, Check this computer mapped
Per-model status table operator window table forge status CLI-only
Retry from a stage operator window table forge-gui (internal operator window, library pipeline.retry_stage) operator-only
Upload targets (HF, Kaggle, Drive) and tokens operator window forge accounts, forge upload, forge verify-logins CLI-only
Attach to VM, upload on VM operator window VM scripts in scripts/ CLI-only
VRAM, RAM and disk gauges operator window Check this computer mapped
About / version operator window dialog forge --version CLI-only

Shell notes (v0.2.5 through v0.4.1)

The v0.2.5 wizard draws only text and choice fields for a step and its Start button records a placeholder run. Model Forge therefore fills each step body itself through ForgeWidget._parts() (one place, covered by tests/test_app_window.py::test_shell_parts_this_app_extends_exist). The Expert panel shows a float with one decimal, so learning rate, caption dropout and replay share are lists of values.