Canva has launched Canva Craft, its first in-house AI image-generation model, positioning it as a competitor to models from OpenAI, Microsoft and Google. Unlike traditional image generators, Craft focuses on design work rather than photography alone. Moreover, its “plan first, render second” approach aims to improve precision, consistency and creative control.
How Canva Craft Works
Canva Craft uses a two-stage architecture to generate images with greater accuracy. First, the model interprets a user’s prompt and plans the composition, including object placement, visual hierarchy and text positioning. It then converts that plan into a finished image.
According to Canva, this approach helps the model handle complex designs while maintaining legible text and accurate object placement. As a result, users can create visuals that better match their intended layouts.
Additionally, Craft supports image generation at resolutions of up to 2K and offers more than 30 aspect ratios. Its applications include social media posts, marketing materials, realistic scenes, digital artwork and environmental imagery.
The model also draws on millions of human-made templates from Canva’s content library. These include presentations, infographics, menus and social media designs. Consequently, its training emphasises practical design requirements rather than primarily photographic content.
Furthermore, the launch builds on Canva’s broader artificial intelligence strategy. In April, the company introduced prompt-based editing tools that allow users to create or modify designs through written descriptions.
It also introduced editable layers for AI-generated images. Therefore, users can adjust individual elements without changing the entire composition, offering greater flexibility during the creative process.
Craft’s Competitive Position and Availability
Canva Craft enters an increasingly competitive AI image-generation market dominated by major technology companies. However, its design-focused capabilities distinguish it from general-purpose image generators.
Currently, Craft ranks fourth on Design Arena’s crowdsourced leaderboard for AI image-generation models. It follows OpenAI’s GPT-Image-2.5 Sunburst, GPT-Image-2.5 Flare and GPT-Image-2.
This ranking highlights Craft’s competitive position, particularly as Canva expands its investment in proprietary AI technology.
Meanwhile, Canva Craft is available to users worldwide. Users can access the model through Canva’s left-hand menu by selecting the three-dot option and opening Dream Lab.
The company has also introduced safety measures, including input and output moderation, privacy controls and reporting tools. These features aim to support responsible image generation while giving users greater control over their creative work.
Looking ahead, Canva plans to support connections between Craft and AI agents through the open Model Context Protocol (MCP). Additionally, the company intends to introduce Craft-fast and Craft-ultrafast, two versions designed for faster and more efficient image generation.
Why Canva Craft Matters
The introduction of Craft represents an important shift in Canva’s artificial intelligence strategy. Previously, the company relied heavily on third-party AI models to power its creative tools.
Now, developing its own image-generation technology gives Canva greater control over model performance, integration and operating costs.
Moreover, the approach could strengthen connections between AI image generation and Canva’s existing design ecosystem. Users may benefit from more consistent outputs, improved editing capabilities and smoother creative workflows.
For businesses and marketing teams, these developments could simplify the production of branded visuals and digital content. Similarly, designers may gain greater flexibility when creating complex layouts or modifying AI-generated elements.
Ultimately, Canva Craft reflects the growing demand for AI tools that understand design requirements beyond generating realistic images. Its long-term impact will depend on how effectively Canva translates these capabilities into practical creative workflows.








