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arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Official implementation of "TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models"
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
A fast, clean, responsive Hugo theme.
A simple implimentation of Bayesian Flow Networks (BFN)
Official repository of Evolutionary Optimization of Model Merging Recipes
Large World Model -- Modeling Text and Video with Millions Context
OCR, layout analysis, reading order, table recognition in 90+ languages
StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and te…
Official code for "Style Aligned Image Generation via Shared Attention"
[ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
A comprehensive deep dive into the world of tokens
Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
⚡ InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
Checkpointable dataset utilities for foundation model training
Implementation of HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Text2Cinemagraph: Text-Guided Synthesis of Eulerian Cinemagraphs [SIGGRAPH ASIA 2023]
Generative Models by Stability AI
Code for Fast Training of Diffusion Models with Masked Transformers
The official code of paper "OMS-DPM: Optimizing Model Schedule for Diffusion Probabilistic Model" accepted by ICML 2023
Official implementation of "Controlling Text-to-Image Diffusion by Orthogonal Finetuning".
A collection of resources on controllable generation with text-to-image diffusion models.