Edits and generates images from natural-language prompts: blend photos, swap backgrounds, change a pose, or remove an object, keeping a person's or pet's face consistent across edits. Multi-turn refinement; outputs carry a SynthID watermark.
Lets developers build AI features with hosted frontier models for text, code, vision, audio, images, and agents. The platform pairs model APIs with tools, SDKs, safety controls, and enterprise options.
Generates polished images and image-to-video animations, with web and Discord workflows for creating, editing, remixing, and exploring visual outputs. Best suited to aesthetic ideation rather than fully controllable production pipelines.
Lets developers call Gemini, Nano Banana, Veo, and other Google AI models from apps through SDKs or REST. It is fastest for teams that want hosted multimodal generation without running model infrastructure.
Trains and fine-tunes diffusion models on consumer GPUs: LoRA and LoKr for image families like FLUX.1/2, SDXL and Qwen-Image, plus video models such as Wan 2.x and LTX. Layer-specific targeting, configurable VRAM, and a browser dashboard for runs.
Generates videos and images from text or reference images, with model updates aimed at higher motion realism and creator-friendly controls. Best for fast concept clips, ads, and social assets rather than fully predictable production footage.
Processes and indexes seized digital evidence — disk images, files, timelines — for forensic examiners. Bundles high-speed carving, OCR, named-entity recognition, similar-image and face search, and audio transcription behind scriptable Java parsers.
Brings classic computer vision into PyTorch as differentiable, GPU-accelerated tensor operators — filters, geometric transforms, feature matching, camera calibration — so each step lives inside autograd and trains end-to-end with neural networks.