text-to-image-diffusion

A collection of awesome text-to-image generation studies.

Official PyTorch codes for the paper: "ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation"

[CVPR 2021] Multi-Modal-CelebA-HQ: A Large-Scale Text-Driven Face Generation and Understanding Dataset

[NeurIPS 2024] RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.

Code for ACM MM'23 paper: LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models

[ECCV 2024] Official repository of ECCV 2024 paper: Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models

[ECCV'24] T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models

[ECCV 2024 - Oral] Official PyTorch Implementation of "Adversarial Robustification via Text-to-Image Diffusion Models"

Codebase for the paper ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models

🤗 Generate images with diffusion models.

Text to Image app with Stable Diffusion Pipeline and tkinter as its UI

Smart and Simple Flux for GPU-poor

Smart and Simple Flux for GPU-poor