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OutfitAnyone-Plus (aitryon-plus)

First-party Alibaba Cloud Model Studio dedicated try-on. Person photo + flat-lay garment(s) → one try-on still. Supports a single top (random bottoms), single bottoms (random top), top+bottoms combo, or a dress/jumpsuit on top_garment_url.

This is not Qwen-Image composition (--model qwen-image). Same DASHSCOPE_API_KEY family, but the published API is China (Beijing) only.

CLI --modelMCP toolAdapterUpstream id
outfitanyone-plusvton_outfitanyone_plusOutfitAnyonePlusAdapteraitryon-plus

Official docs: aitryon-plus API

Auth​

A Beijing-region Model Studio key.

export DASHSCOPE_API_KEY=sk-...
# Optional host (default is China DashScope):
# export OUTFITANYONE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
# Workspace:
# export OUTFITANYONE_BASE_URL=https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1

International DashScope keys used for Qwen-Image / Wan will not unlock this model. Create a Beijing key from Model Studio.

Inputs​

  • Person: one complete, full-body, front-facing subject. 5 KB–5 MB, 150–4096 px, JPG/PNG/BMP/HEIC.
  • Garment: flat-lay, one item, clean background. Same size limits.
  • At least one of top (or dress) / bottoms.
  • Public HTTP(S) URLs are passed through. Local files, PIL images, and bytes are uploaded to DashScope temporary OSS (48h) and sent as oss:// with X-DashScope-OssResourceResolve: enable.

Keep-original-bottoms (or top) is a two-step vendor flow using companion aitryon-parsing-v1. OpenTryOn does not wrap that parsing API yet — pass the segmented URL as --bottom-garment-image (or --garment-image) yourself.

CLI​

opentryon vton --model outfitanyone-plus \
  --person-image person.jpg \
  --garment-image top.jpeg

opentryon vton --model outfitanyone-plus \
  --person-image person.jpg \
  --garment-image top.jpeg \
  --bottom-garment-image pants.jpeg \
  --resolution -1

opentryon vton --model outfitanyone-plus \
  --person-image person.jpg \
  --garment-image dress.jpg \
  --dry-run

--resolution -1 (default) matches the person image; 1024 is 576×1024; 1280 is 720×1280. --no-restore-face generates a random face.

Python​

from tryon.api import OutfitAnyonePlusAdapter

adapter = OutfitAnyonePlusAdapter()  # DASHSCOPE_API_KEY
images = adapter.generate_and_decode(
    person="person.jpg",
    garment="top.jpeg",
    restore_face=True,
    resolution=-1,
)
images[0].save("worn.png")

Planner / Studio​

Name outfitanyone-plus, aitryon-plus, or OutfitAnyone in chat to pin this model. The VTON default stays kling-ai. After MCP restart, Connect lists it under Alibaba DashScope (DASHSCOPE_API_KEY).