---
title: Rosetta Multimodal
emoji: 🪨
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
short_description: Unified text-to-image generation and image understanding
python_version: "3.10"
startup_duration_timeout: 2h
---

# Rosetta — Composable Native Multimodal

A Gradio demo for **[tencent/Rosetta-inference](https://huggingface.co/tencent/Rosetta-inference)**
(Rosetta-3.8B-A1B), a unified multimodal model from Tencent Hunyuan × HKUST that
does both **text-to-image generation** and **image understanding** with a single
backbone (Qwen3-0.6B LLM + Qwen3-VL vision encoder + FLUX.2 VAE).

## Modes
- **Text → Image** — flow-matching image generation from a text prompt.
- **Image Understanding** — ask questions about an uploaded image (VLM).

Model code is adapted from the upstream repo
[Lxiangyue/Rosetta](https://github.com/Lxiangyue/Rosetta). Weights and shared
assets (VAE / ViT / tokenizer) are fetched from the model repo on first launch.