Krea vs Leonardo AI: pricing, features and which to choose

Krea is a San Francisco company founded by Victor Perez and Diego Rodriguez. The company reported more than 20 million users, 20 times revenue growth over 14 months, and $83 million raised by April 2025. TechCrunch reported a $500 million post-money valuation. Krea describes itself as a creative AI platform rather than a single image generator, combining hosted models with its own research and interface. The product targets designers, artists, marketers, and other visual creators. TechCrunch identified users at Perplexity, Loop Earplugs, Pixar, LEGO, and Samsung. Krea’s public product also includes developer access, but its consumer application remains the center of the offering. This positioning reduces the need to track separate creative tools, while preserving access to different model families through one workspace for visual work.

Krea’s typical workflow starts with a prompt, sketch, reference image, or moodboard. Realtime generates images as users type or draw, while Edit supports changes to existing images. Users can move stills into video generation, upscale results, train LoRAs, and connect operations in Krea Nodes. App Builder turns Node workflows into reusable applications. Krea Agent accepts a brief and can plan, generate, and iterate across models. The pricing page lists image, video, 3D, lipsync, enhancement, moodboard, and workflow tools. Basic limits some video models, while Pro and higher plans include all video models. API users call individual hosted endpoints rather than supplying external models to Krea. The workflow favors rapid experimentation, but broader capability also creates more choices to manage.

Krea’s breadth is useful for creators who want one interface for realtime generation, editing, video, enhancement, training, and workflows. The tradeoff is accounting complexity: subscription units, API balance, model-specific prices, partner terms, and annual billing are separate. Midjourney is more focused on image creation, Runway emphasizes video, and Leonardo AI centers on image generation and personalization. Krea is hosted, so its application is not self-hosted, although FLUX.1 Krea [dev] can be run locally under its release terms. Pick Krea if rapid visual iteration across several media matters more than a single specialized model or a local deployment. The unified interface can reduce tool switching, while the wider feature set may be unnecessary for narrowly defined image-only work.

Leonardo AI is a cloud platform operated by Leonardo Interactive Pty Ltd, a Canva brand. Canva announced its acquisition on July 30, 2024, and said Leonardo would continue operating its web platform independently. Canva described a 120-person research, engineering, and design team and more than 19 million Leonardo users at the time. The service targets individual creators, businesses, and developers. Its product surface includes image and video generation, realtime canvas tools, background removal, upscaling, collections, personal model training, and developer access through an API. Leonardo is hosted rather than downloadable or self-hosted, and its catalog combines Leonardo models with selected third-party services. This breadth supports experimentation, while the hosted design leaves infrastructure, model deployment, and operational maintenance with Leonardo rather than the user or development team.

A normal browser workflow begins with a prompt, reference image, or selected model. Users can adjust generation settings, apply presets, edit results in canvas tools, remove backgrounds, upscale outputs, or create video from text and images. Paid plans add private generations, third-party model access, personal model training, rollover token banks, top-up tokens, and higher concurrent-generation limits. Leonardo says users can train personal models from a small collection, typically 10 to 20 images. Developers can call image and video generation, image-to-image, image-to-video, upscaling, background removal, custom presets, and fine-tuning through REST API access. API users can monitor request costs and configure automatic credit top-ups. The tradeoff is workflow flexibility versus operational complexity, because different features, models, and processing tasks draw from usage balances differently.

Leonardo's token pricing makes usage difficult to compare across models because token cost changes with computational demand, and relaxed unlimited generation applies only to named models at lower queue priority. Free users receive commercial-use permission, but Leonardo owns free-tier outputs and may use public content to improve services and train models. Paid subscribers receive ownership of generated content under the terms. Midjourney is the closer choice for dedicated prompt-driven image work, Adobe Firefly for Adobe-centered workflows, and Recraft for editable design graphics. Pick Leonardo if model choice, personal training, image and video tools, and one developer API matter more than a predictable per-output price. The central tradeoff is breadth and integration against variable cost, plan-specific restrictions, and the need to understand privacy and ownership differences before production use.