KREA

Krea is a web creative suite that bundles its own Krea 2 model with many third-party image and video models, plus enhancement, realtime drawing, LoRA training, a node editor and an AI agent that plans and refines media.

Krea is a web-based creative suite that gathers image generation, video generation, upscaling and editing into a single workspace. Rather than relying on one in-house model, it offers its own Krea 2 image model alongside a long list of third-party options, including Nano Banana, GPT Image, FLUX 3, Ideogram, Seedance, MiniMax, Kling, Veo, Runway, LTX and Grok Imagine. Each video model card lists an approximate credit cost, which makes it possible to compare quality and expense before generating. The product is aimed at designers, illustrators, filmmakers, marketers and anyone who needs visual assets without stitching together several subscriptions. The sidebar splits the work into tools: Image, Video, Enhancer, Realtime, Edit, Seedance Studio and Nano Banana, with separate areas for Moodboards, LoRA training, a Node Editor and an Assets library. Realtime renders as the user draws on a live canvas, while Edit changes an existing picture through typed instructions. The Krea Agent is the newest layer. A user describes an idea, and the agent plans, creates and refines images and videos in collaboration with them. Starter templates cover things like a YouTube thumbnail concept, an explainer video, a poster pair, a furniture design exploration and a game cutscene concept, so a first session can begin from a finished example instead of a blank prompt. Krea also reaches outside its own site. Plugins bring generation into Photoshop and After Effects, an app listing puts the models inside ChatGPT, and an MCP page explains how to connect Krea to Claude and ChatGPT agents. An enterprise tier exists for organizations, and the pricing page advertises a discount. Among alternatives, Krea sits closer to an aggregator than to single-model tools such as Midjourney or Runway. Its strength is breadth and quick access to new releases, and the Node Editor and LoRA training serve people who want repeatable pipelines. The tradeoff is that costs vary by model, so heavy use requires attention to credits.