DreamOmni2
This project is the official implementation of 'DreamOmni2: Multimodal Instruction-based Editing and Generation (CVPR2026 Highlight)''
About
DreamOmni2 is designed for image editing and generation using multimodal instructions. It excels in maintaining identity and pose consistency while allowing for the incorporation of both concrete objects and abstract attributes in its processes. This model serves users who require advanced capabilities in image manipulation, providing a comprehensive solution for various editing and generation tasks.
Open Source Health
- Stars
- 1,981
- Forks
- 174
- License
- Apache-2.0
- Last commit
- 6 months ago
Resources & Links
Related Categories
Vendor
JIA Lab
JIA Lab
Quick Links
Open Source
More by JIA Lab
Related Products
ARPO
Official Implementation of ARPO: End-to-End Policy Optimization for GUI Agents with Experience Replay
More from this vendor
The Algorithm
Source code for the X Recommendation Algorithm
Shared categories
Recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Shared categories
RPG_KDD2025
This repository provides the code for implementing RPG described in our KDD'25 paper "Generating Long Semantic IDs in Parallel for Recommendation".
Shared categories
Pairec
A Go web framework for quickly building recommendation online services based on JSON configuration.
Shared categories