Showing 21-40 of 64 projects
A PHP library for generating thumbnails, snapshots, and PDFs from HTML pages and URLs.
OmniGen is a unified image generation library that supports diffusion models, multi-modal and multi-task learning.
Unofficial PyTorch implementation of an image super-resolution model using iterative refinement.
A modular, high-performance web-user-interface for Stable Diffusion, with an emphasis on ease of use and extensibility.
A comprehensive Ruby API for integrating with various AI tools and platforms, including OpenAI, Anthropic, Gemini, and more.
An implementation of Dreambooth for Stable Diffusion, with a focus on training faces, objects, and styles.
Automates the generation and integration of PWA assets like icons, splash screens, and favicons.
A Python framework for efficient model inference with omni-modality AI models.
Native multimodal model for high-quality image generation with text-to-image capabilities
A fully automated AI-powered short video engine for generating videos from text, images, and audio.
Contrastive unpaired image-to-image translation library using PyTorch, with faster and lighter training than CycleGAN.
A curated list of resources on text-to-image generation and synthesis, useful for AI-focused developers.
A reverse-engineered Python API for interacting with the Google Gemini web app, a generative AI tool.
This is an open-source implementation of a multimodal instruction-based editing and generation model.
A scalable image generation model based on the Llama language model, outperforming diffusion models.
An interactive visualization tool for discovering interpretable controls in Generative Adversarial Networks (GANs)
A curated collection of resources related to the Segment Anything model, a powerful image segmentation tool.
An extensible and easy-to-use diffusion web UI for generating images with AI tools like Stable Diffusion.
A Jupyter Notebook project that generates images from text, focused on the Russian language.
A high-performance, autoregressive model for generating high-resolution images from text prompts.
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