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VARGPT V1.1 Edit

Developed by VARGPT-family
VARGPT-v1.1 is a vision autoregressive unified large model enhanced through iterative instruction tuning and reinforcement learning, supporting vision understanding and generation tasks.
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Release Time : 4/1/2025

Model Overview

VARGPT-v1.1 innovatively unifies understanding and generation as dual paradigms within a single model: achieving vision understanding by predicting the next token and vision generation by predicting the next scale.

Model Features

Dual-Paradigm Unified Modeling
Unifies vision understanding and generation tasks in a single model, achieving understanding by predicting the next token and generation by predicting the next scale.
Iterative Instruction Tuning
Enhances model performance through iterative instruction tuning, improving its performance across multiple tasks.
Reinforcement Learning Optimization
Further optimizes the model using reinforcement learning methods, enhancing the quality of generation and understanding.

Model Capabilities

Vision Understanding
Vision Generation
Image Editing

Use Cases

Image Generation and Editing
Batch Image Generation
Supports batch generation of high-quality images, suitable for content creation and design fields.
Image Editing
Supports editing and optimizing existing images to improve quality or modify content.
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