Tags: #text-to-image

An AI-powered agentic framework for reflective and autonomous PowerPoint presentation generation, integrating deep research and visual design.

Enables fast and efficient multi-concept customization of text-to-image diffusion models like Stable Diffusion using a few images.

A tool for fast and efficient fine-tuning of diffusion models using Low-rank Adaptation (LoRA), producing small, shareable models.

A human preference reward model for evaluating and improving text-to-image generation models.

A prompt rewriting tool that refines user prompts into clearer, structured versions to enhance the quality of text-to-image generation and image-to-image editing.

A fast, minimal PyTorch port of DALL·E Mini, optimized for efficient text-to-image generation inference.

A PyTorch implementation of Google's Imagen, a state-of-the-art text-to-image neural network that surpasses DALL-E2 in synthesis quality.

A PyTorch implementation of OpenAI's DALL-E 2, enabling advanced text-to-image synthesis through a diffusion-based neural network architecture.

An open-source PyTorch implementation of OpenAI's DALL-E, a text-to-image transformer, including CLIP for generation ranking.

An implementation of Google's Dreambooth technique on Stable Diffusion, enabling personalized text-to-image model fine-tuning with limited examples.

A simple command-line tool for generating artistic images from text descriptions using OpenAI's CLIP and Siren neural networks.

A comprehensive curated list of resources, papers, datasets, and projects focused on text-to-image generation and manipulation.