Skywork-UniPic

Unified multimodal model for image editing, generation, and understanding

📝 Overview

Welcome to the Skywork-UniPic repository!
This repository hosts the model weights and official implementations of unipic unified multimodal series, featuring three distinct modeling paradigms:

• UniPic-3 (README) — 🔥 Open-source SOTA Multi-Image Editing Model. Unified framework for single-image editing & multi-image composition. Supports 1–6 input images with flexible resolutions. 8-steps inference with 12.5× speedup via CM + DMD distillation.

  

• UniPic-2(README) — SD3.5M-Kontext and MetaQuery variants based on Efficient Architectures with Diffusion Post-Training, delivering state-of-the-art performance in text-to-image generation, fine-grained image editing, and multimodal reasoning.

  

• UniPic-1(README) — 1.5B parameters, Unified Autoregressive Modeling for joint visual understanding and generation, enabling a single transformer to handle both perception and synthesis tasks.

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🔥 Latest News

Date	Update
2026-01-09	Released UniPic-3 — 🔥 Open-source SOTA multi-image editing model. Support single & multi-image editing, 1–6 inputs, 8-step / 12.5× faster inference
2025-08-13	Released UniPic-2 — Unified Model Weights with Diffusion-based Post-Training
2025-07-30	Released UniPic-1 — Autoregressive unified modeling from scratch

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✨ Key Features

• 🎨 Text-to-Image Generation — High-fidelity synthesis from natural language prompts.
• 🛠 Image Editing — Seamless inpainting, outpainting, and object manipulation.
• 🖼 Image Understanding — Robust perception capabilities for various visual tasks.
• ⚡ Efficient Architecture — Optimized for both accuracy and deployability.

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📜 License

This project is licensed under the MIT License — see the LICENSE file for details.

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