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JIA-Lab-research/DreamOmni2

by JIA-Lab-research · Graphic Design & Creativity › Image Editing
⭐ 2k stars🍴 173 forks 💻 PythonCoding Knowledge Recommended 🕐 Updated 11 Apr 2026📊 Recommended score 56.4/100

Quick Overview — What is this tool?

This project is the official implementation of 'DreamOmni2: Multimodal Instruction-based Editing and Generation (CVPR2026 Highlight)''

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

Who Is This For?

This project is listed under Image Editing in Graphic Design & Creativity, a category made for designers, creators, marketers and anyone who makes visuals.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

The source code is released under the Apache-2.0 license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.

Is It Actively Maintained?

Activity level: Maintained · Last code update: 11 Apr 2026 · Created: 28 Sep 2025 · Open issues: 24

How to Get Started

  1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
  2. To download the full code, generate this repository's public link below and run the clone command in a terminal:
🔒 This repository's public link is protected. Click the button below to generate it.

Official links: Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 1968 stars · 🍴 173 forks · 🐛 24 open issues · 💻 Language: Python · 📄 License: Apache-2.0 · Default branch: main

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