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Emu3 Stage1

Developed by BAAI
Emu3 is a multimodal model developed by the Beijing Academy of Artificial Intelligence, trained solely by predicting the next token, supporting image, text, and video processing.
Downloads 1,359
Release Time : 10/21/2024

Model Overview

Emu3 is a novel multimodal model that tokenizes images, text, and videos into discrete spaces and trains a single Transformer model on mixed multimodal sequences, excelling in both generative and perceptual tasks.

Model Features

Unified Multimodal Processing
Unifies the processing of images, text, and videos by predicting the next token, eliminating the need for diffusion or compositional architectures.
High-Quality Image Generation
Generates high-quality images from text inputs, supporting flexible resolutions and styles.
Powerful Visual Language Understanding
Achieves robust visual language understanding without relying on CLIP or pre-trained large language models.
Video Generation and Extension
Generates videos by predicting the next token in video sequences and naturally extends existing video content.

Model Capabilities

Text-to-Image Generation
Image Captioning
Visual Question Answering
Video Generation
Video Extension

Use Cases

Creative Content Generation
Art Creation
Generates high-quality artistic images from text descriptions
Produces images with film grain effects and optimal quality
Portrait Generation
Generates portraits in specific styles
Creates portraits of young girls
Visual Understanding
Image Analysis
Analyzes image content and provides textual descriptions
Accurately describes scenes and objects in images
Video Processing
Video Generation
Generates video content from text prompts
Produces coherent video sequences
Video Extension
Predicts and extends existing video content
Naturally continues video scenes
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