AI Image2012
Provides a comprehensive set of computer-vision algorithms and image/video processing utilities with multi-language bindings (C++, Python, Java), contrib modules, and community docs/forums — suitable for prototyping, production pipelines, and real-time applications.
AI Image2017
Swaps faces in images and videos using deep learning, offering tools to extract faces, train generative models, and convert media via CLI or GUI for research, VFX, and ethical experimentation.
AI Dataset2022
Contains 73 images used in Hugging Face library documentation, packaged in Parquet and imagefolder formats for examples, demos, and small-scale image experiments; distributed under CC BY‑NC‑SA 4.0.
AI Image2022
Interactive IDE for composing AI-generated 2D and 3D scenes and producing images and videos. Provides visual scene-blocking, 3D image compositing, character posing, image-to-3D conversion, and multi-provider model integrations to make generation consistent and repeatable.
AI Dataset2022
Canonical ILSVRC ImageNet-1k for 1,000-way image classification — provides roughly 1.2M labeled images (train/val/test) packaged as optimized Parquet for easy loading with Hugging Face Datasets, Dask, and Polars. Verify licensing and distribution constraints before use.
AI Image2022
Enlarges and enhances low-resolution images using AI models (Real-ESRGAN) through a cross-platform desktop app. Runs on a local NCNN/Vulkan backend (requires a Vulkan-compatible GPU), offers an Electron GUI plus a CLI backend (upscayl-ncnn), and supports custom models for different image types.
AI Image2022
Runs a self-hosted web server and React-based UI to generate, edit, and manage images using Stable Diffusion, SDXL and other foundation models. Includes a model manager, unified canvas, node-based workflows, gallery, and support for ckpt, diffusers and some gguf checkpoints.
Enables real-time (≥30 fps) 1080p novel-view synthesis by representing scenes as optimized anisotropic 3D Gaussians plus a visibility-aware splatting renderer; provides the paper's reference implementation, pretrained models and viewers — high-quality training requires CUDA GPU and significant VRAM.
AI API2024
Asynchronous, reverse-engineered Python API for programmatic access to the Google Gemini web app — supports persistent cookie auth, streaming text, image/video/audio generation, deep-research workflows, model selection, and a CLI for automation and chatbots.
AI Dataset2024
Provides a 1 trillion-token multimodal interleaved dataset (HTML subset updated as data_v1_1 with 742B HTML tokens) and 3.4B images drawn from HTML/PDF/ArXiv sources for multimodal pretraining; released under CC-BY-4.0 with safety and deduplication guidance.
AI Model2024
Generates images from text prompts using a 12-billion-parameter rectified-flow transformer trained with guidance distillation for more efficient sampling. Distributed with diffusers/ComfyUI support and multiple conditioning/editing variants; weights released under a non-commercial license.
AI Model2024
High-resolution image and video generation codebase and models that run with far lower compute and memory than typical diffusion systems. Uses linear-attention DiT variants, aggressive latent compression, and inference-scaling to support text-to-image (up to 4K), fast one/few-step generation, and efficient video pipelines.