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SwiftUI views that asynchronously loads and displays an OpenAI image from open API. You just type in your idea and AI will give you an art solution. DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts". You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC) OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models. It uses diffusion models...

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation errors...

OmniGen2 is a powerful, efficient open-source multimodal generation model designed for diverse AI tasks involving both images and text. It improves on its predecessor by introducing separate decoding pathways for text and image, along with unshared parameters and a decoupled image tokenizer, enhancing flexibility and performance. Built on a strong Qwen-VL-2.5 foundation, OmniGen2 excels in visual understanding, high-quality text-to-image generation, and instruction-guided image editing. It also...