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Roadmap

Last Updated: 3 August 2026 · Current release: v0.0.3 · Next: v0.1.0 Fashion ML Toolkit Core

Canonical file: ROADMAP.md · Strategy: VISION.md

Audience priority: fashion AI/ML engineers · agent builders · app builders · fashion companies (train + MCP) · CLI-first developers.

v0.1.0 exit criteria: train pack → LoRA finetune → garment/identity eval + Fashion Bench v0 → invoke via CLI/MCP → one agentic fashion workflow — without assembling five research repos. Outline: Fashion ML Engineer Path.

Shipped — v0.0.3 (Phase 0: invoke layer)​

  • Unified CLI + FastMCP (shared registry / invoke_model)
  • Broad cloud try-on / generate / edit / video / understand adapters
  • OpenAPI / Postman media snapshots, docs, Gradio demos
  • Local extras (FLUX.2 Turbo, Kimi-VL, LLaVA-NeXT, BEN2)
  • Web UI in tryon-studio over MCP

Next — Fashion ML Toolkit Core → v0.1.0​

SliceFocus
A — Data & promptsVersioned prompt packs, train-pack schema, data CLI helpers
B — TrainBrand-style LoRA + one VTON/local LoRA path; opentryon train
C — EvalFashion Bench v0, side-by-side reports; opentryon eval
D — Local VTONProductize one of CatVTON / IDM-VTON / OOTDiffusion
E — WorkflowsMCP-native Try-On QA or Fine-Tune Coach (task agent, not chatbot)
F — Efficiency cardVRAM/latency table for the path we actually ship

Intermediate tags 0.0.4 / 0.0.5 as slices land; v0.1.0 when A–E work end-to-end.

Fashion-only for this phase. Prompt datasets, fashion datasets, workflows, and agentic fashion workflows are in scope. Generic multi-domain / full LLM–VLM platform work waits until fashion patterns prove out.

Later​

  • Broader quantization / distillation / serving recipes
  • Full fashion agents suite (PDP, lookbook, router, return-risk, …)
  • Async / batch / caching DX · video VTON / 3D VTON
  • Adjacent domains only after fashion train/eval/agent recipes are solid

Contribute​

Good first issues: prompt packs, bench pairs, docs, dry-run tests.
High-value: LoRA recipes, Fashion Bench metrics, first local VTON, first MCP workflow.

Follow the new-model checklist or join Discord.