TencentARC / IBQ-Tokenizer-1024

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Introduction of IBQ-Tokenizer-1024

Model Details of IBQ-Tokenizer-1024

Taming Scalable Visual Tokenizer for Autoregressive Image Generation

Code: https://github.com/TencentARC/SEED-Voken

Paper: https://arxiv.org/abs/2412.02692

This repo is used for hosting IBQ’s checkpoints.

Introduction

We propose Index Backpropagation Quantization (IBQ), a new vector quantization method for the joint optimization of all codebook embeddings and the visual encoder, ensuring the consistent latent space.  IBQ enables scalable training of visual tokenizers and, for the first time, achieves a large-scale codebook (2^18) with high dimension (256) and high utilization.

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IBQ-Tokenizer-1024 huggingface.co

IBQ-Tokenizer-1024 huggingface.co is an AI model on huggingface.co that provides IBQ-Tokenizer-1024's model effect (), which can be used instantly with this TencentARC IBQ-Tokenizer-1024 model. huggingface.co supports a free trial of the IBQ-Tokenizer-1024 model, and also provides paid use of the IBQ-Tokenizer-1024. Support call IBQ-Tokenizer-1024 model through api, including Node.js, Python, http.

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