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OpenTryOn CLI, MCP, and Expanded Media Models

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@kailashahirwar kailashahirwar released this 02 Aug 08:48
v0.0.3
3a023e6

OpenTryOn v0.0.3 Release Notes

CLI, MCP, and a much wider media model surface

Release Date: 2 August 2026

OpenTryOn v0.0.3 is a large feature release: a unified opentryon CLI, a registry-driven FastMCP server, many new image/video providers (Seedance, Seedream, Kling 3, Luma Ray 3.2, Grok Imagine, Ideogram, Pruna), Kimi understanding models, FASHN / Pruna try-on, and a cleaner separation from the tryon-studio web UI.

What's New

Unified CLI (opentryon)

Installable console script for every registry model:

opentryon <service> --model <model> [params...]
# services: vton | generate | edit | understand | video-generate | bg-remove

Supports --dry-run and -o/--output-dir. Local GPU models need pip install opentryon[local].

MCP Server

mcp-server/ is rebuilt on FastMCP 3.x. Tools are generated from tryon.cli.registry (same path as the CLI via invoke_model()). Discovery tools: list_opentryon_tools, opentryon_status.

New media providers

Area Models
Image generate / edit Seedream 5.0 Pro, Ideogram 4.0, Grok Imagine Image, Pruna P-Image / Edit / Upscale
Video Seedance 2.5, Luma Ray 3.2, Kling 3.0 / Omni / Turbo, Grok Imagine Video 1.5, Gemini Omni Flash, Pruna P-Video / Replace / Avatar / Animate
Try-on Pruna P-Image-Try-On, FASHN tryon-max / v1.6, Nano Banana 2 Lite (cheap composition path)
Understand Kimi K2.6 / K2.7 Code / K3 (API), Kimi-VL + LLaVA-NeXT (local)

Demos / product split

The Next.js dashboard prototypes moved to tryon-studio. This package keeps Gradio demos and notebooks only.

Install / Upgrade

pip install -U opentryon
# optional local/GPU models:
pip install -U "opentryon[local]"

From source:

git checkout v0.0.3
pip install -e .

Docs

Breaking / migration notes

  • Prefer opentryon / MCP over ad-hoc root scripts (legacy examples live under examples/legacy/ and tests/legacy/).
  • Web UI consumers should point at tryon-studio + MCP, not removed demo/virtual-tryon paths.
  • Core pip install opentryon stays cloud-light; torch/transformers are only in the [local] extra.

Links

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