TencentARC / IBQ-Tokenizer-16384

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Model's Last Updated: 2024年12月30日

Introduction of IBQ-Tokenizer-16384

Model Details of IBQ-Tokenizer-16384

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-16384 huggingface.co

IBQ-Tokenizer-16384 huggingface.co is an AI model on huggingface.co that provides IBQ-Tokenizer-16384's model effect (), which can be used instantly with this TencentARC IBQ-Tokenizer-16384 model. huggingface.co supports a free trial of the IBQ-Tokenizer-16384 model, and also provides paid use of the IBQ-Tokenizer-16384. Support call IBQ-Tokenizer-16384 model through api, including Node.js, Python, http.

IBQ-Tokenizer-16384 huggingface.co Url

https://huggingface.co/TencentARC/IBQ-Tokenizer-16384

TencentARC IBQ-Tokenizer-16384 online free

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TencentARC IBQ-Tokenizer-16384 online free url in huggingface.co:

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IBQ-Tokenizer-16384 install

IBQ-Tokenizer-16384 is an open source model from GitHub that offers a free installation service, and any user can find IBQ-Tokenizer-16384 on GitHub to install. At the same time, huggingface.co provides the effect of IBQ-Tokenizer-16384 install, users can directly use IBQ-Tokenizer-16384 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

IBQ-Tokenizer-16384 install url in huggingface.co:

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