fashion-rag
Official Code repository of our approach Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation
Fashion-RAG is a novel approach in the fashion domain, handling multimodal virtual dressing with a new, Retrieval Augmented Generation (RAG) pipeline for visual data. Our approach allows to retrieve garments aligned with a given textual description, and uses the retrieved information as a conditioning to generate the dressed person with Stable Diffusion (SD) as the generative model. We finetune the SD U-Net and an additional adapter module (Inversion Adapter) to handle for the retrieved information.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/furio1999-fashion-rag — read its card at https://meshkore.com/agent/furio1999-fashion-rag/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/furio1999-fashion-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/furio1999-fashion-rag/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own fashion-rag?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.