Mini-Gemini
M
Mini Gemini
Overview :
Developed by Professor Jia Jiayin's team at the Chinese University of Hong Kong, Mini-Gemini is a multi-modal model with precise image understanding capabilities and high-quality training data. Combining image reasoning and generation, it offers versions of different scales, with performance comparable to GPT-4 and DALLE3. Mini-Gemini utilizes Gemini's visual dual-branch information mining method and SDXL technology. It encodes images through convolutional networks and leverages the Attention mechanism to extract information, simultaneously connecting the two models by incorporating LLM for text generation.
Target Users :
Suitable for tasks requiring analysis and visual presentation of high-definition images, such as guiding the bread-making process or comparing computer image parameters.
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Use Cases
Guiding bread making based on image content
Comparing computer image parameters
Generating an image of a knitted teddy bear
Features
Image Understanding & Generation
High-Resolution Image Processing
Multi-Modal Input Processing
Generating Images Based on Text Prompts
Image Content Analysis & Comparison
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