lucidrains / titok-pytorch

Implementation of TiTok, proposed by Bytedance in "An Image is Worth 32 Tokens for Reconstruction and Generation"

TiTok - Pytorch (wip)

Implementation of TiTok, proposed by Bytedance in An Image is Worth 32 Tokens for Reconstruction and Generation

Install

$ pip install titok-pytorch

Usage

import torch
from titok_pytorch import TiTokTokenizer

images = torch.randn(2, 3, 256, 256)

titok = TiTokTokenizer(
    dim = 1024,
    patch_size = 32,
    num_latent_tokens = 32,   # they claim only 32 tokens needed
    codebook_size = 4096      # codebook size 4096
)

loss = titok(images)
loss.backward()

# after much training
# extract codes for gpt, maskgit, whatever

codes = titok.tokenize(images) # (2, 32)

# reconstructing images from codes

recon_images = titok.codebook_ids_to_images(codes)

assert recon_images.shape == images.shape

Todo

• add multi-resolution patches

Citations

@article{yu2024an,
  author    = {Qihang Yu and Mark Weber and Xueqing Deng and Xiaohui Shen and Daniel Cremers and Liang-Chieh Chen},
  title     = {An Image is Worth 32 Tokens for Reconstruction and Generation},
  journal   = {arxiv: 2406.07550},
  year      = {2024}
}