2 repositorios
Diffusion-based tools specifically designed to apply natural language edits to existing images.
Distinct from Diffusion Models: Distinct from general Diffusion Models by specializing in editing existing images via instructions rather than just synthesizing new ones.
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Instruct-pix2pix is an instruction-based image model and PyTorch library designed to modify visual content by following natural language directions. It functions as a diffusion model image editor that applies human-written instructions to existing pictures rather than using traditional text-to-image prompts. The project provides a fine-tunable diffusion framework for adapting pre-trained checkpoints to specific image editing datasets. It includes a synthetic dataset generator that creates paired images and text triplets to train models on various image editing tasks. The system covers a rang
Provides an image editing tool that applies natural language instructions to existing pictures via a latent diffusion model.
OmniGen is a unified image generation model and diffusion framework that processes text, images, and vision tasks through a single system. It functions as a multimodal diffusion framework that treats diverse vision operations as unified image synthesis problems using shared model weights, removing the need for external adapter modules. The system supports subject-driven image generation to preserve the identity of objects from reference photos and allows for multi-reference image synthesis. It also operates as an instruction-based image editor, modifying visual content through natural languag
Implements a diffusion-based tool for applying natural language edits to existing images.