Adobe Firefly vs Leonardo AI: pricing, features and which to choose

Adobe Firefly is a generative AI studio made by Adobe for creating and editing images, videos, audio, and vector graphics. Adobe introduced Firefly in March 2023 and offers it through a web application, mobile apps, APIs, and enterprise products. Its audience includes designers exploring concepts, marketers producing campaign assets, and production teams working across several media types. Firefly connects with Photoshop, Illustrator, Premiere, Adobe Express, and other Adobe applications. The product now includes more than image generation, with tools for video, sound effects, music, speech, translation, mood boards, and browser-based editing. Adobe also presents Firefly as a place to use its own models alongside partner models from companies such as Google, OpenAI, Runway, Luma AI, and ElevenLabs.

A typical Firefly workflow starts with a text prompt, an uploaded image, or an existing Adobe asset. Users can generate images, choose an aspect ratio, adjust styles, and revise results with text-based editing, Generative Fill, Generative Remove, and Generative Expand. The workspace also supports text-to-video, image-to-video, vectors, sound effects, music, speech, and audio or video translation. Firefly Boards lets users arrange references and generated material on shared canvases. Custom Models can generate images based on a user’s own assets, while node-based workflows automate image generation, editing, compositing, and production tasks. Firefly also includes a browser video editor for arranging media on a timeline. Generated results can move into Photoshop, Premiere, Illustrator, or Express, which makes the product most useful inside an existing Adobe workflow.

Firefly’s main limitation is cost control: credit use varies by model, feature, resolution, and output, making high-volume production harder to budget. Its partner-model catalog can also change, and the service requires Adobe’s cloud applications rather than local or self-hosted deployment. Midjourney is more focused on image generation, while Runway is more focused on AI video. Canva Magic Studio offers a more template-led design workflow for teams that do not need Adobe’s editing applications. Firefly is the better pick for Adobe customers who need images, video, audio, and vectors in one workspace, want to move results into Photoshop or Premiere, or value Adobe’s stated licensed-training position and Content Credentials.

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.