vqgan

SOTA Open Source TTS

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

[ICCV 2025] SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)

Official Implement of Multi-Stage Multi-Codebook (MSMC) TTS

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

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Towards training VQ-VAE models robustly!

Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"

OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers

🇰🇷 Text to Image in Korean

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

[ICLR 2024] DAEFR: Dual Associated Encoder for Face Restoration

[Arxiv'25] MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization

Implementation of Binary Latent Diffusion

VQ-VAE/GAN implementation in pytorch-lightning

NTIRE 2022 - Image Inpainting Challenge