{"repo":"QuanjianSong/T2I-Metrics","free":true,"listed":false,"github":"https://github.com/QuanjianSong/T2I-Metrics","clone":"git clone https://github.com/QuanjianSong/T2I-Metrics.git","description":"Inference pipeline for some Text-to-Image metrics.","language":"Python","stars":93,"topics":["diffusion","metrics","text2image","text2video","clip-score","fid","image2image","is","aesthetic","aigc"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"T2I-Metrics: A Pipeline for Metrics in Text-to-Image [Official Code of PyTorch] 🎉 News • 2025.08 : 🔥 The integration of video generation evaluation metrics related to VBench is expected to be added soon. • 2025.08 : 🔥 The repository has been reorganized and now includes various AIGC metrics: FID, IS, CLIP, DINO, and DreamSim etc. 🎬 Overview In recent years, the development of diffusion models is very rapid, but I found that the current evaluation metrics on diffusion models are not well integrated. Therefore, I refer to the market for some of the more standard code for calculating diffusion metrics, and built a pipeline code base for integrating several evaluation metrics of diffusion models. Welcome to star + fork. We will also update some other metrics, and tensorflow integration pipeline, may also add T2V series, please look forward to! 🔧 Environment 🤗 Checkpoint If you need the inception v3 google.pth , pt inception.pth , and ViT-B-32.pt weight files, you can download them from the this link(extraction code: fpfp). 📖 Dataset Before starting the evaluation, you need to prepare the corresponding jsonl files in advance. Different evaluation metrics require reading different types of jsonl files. These generally fall into three categories: image-prompt pairs, image-image pairs, and single images. Each line in the jsonl file should include the appropriate file paths. We provide example files in the ./examples directory to help you construct your own. 🚀 Start We provide","default_branch":null,"files":null,"tree":[],"storefront":"/r/QuanjianSong","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/QuanjianSong/T2I-Metrics/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}