Canva says Craft is its first foundation model built from scratch
Canva says Craft, its first foundation model built and trained from scratch by Canva Research, is now available globally to Canva users. The model plans an image’s composition before rendering it, and can generate images at up to 2K resolution.

Key takeaways · 4
- 01
Canva says Craft is available globally to all Canva users, so teams can try it within the platform.
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The model supports more than 30 aspect ratios and custom ratios, which may help teams fit image concepts to specific design formats.
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Craft can generate text in 55 languages, while prompts can be written in any language.
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Developers can access Craft through a public API; its connection to AI assistants and automated workflows through Canva MCP is listed as coming soon.
A two-stage image workflow
Canva says Craft separates planning an image’s composition from rendering it.[1] In its planning stage, the model specifies which elements should appear, how they relate spatially, their relative scale and visual hierarchy, and any text in the image.[1] The rendering stage turns that plan into an image at up to 2K resolution.[1] Canva says Craft can produce complex layouts with legible text and precise object placement, and can make targeted changes without unnecessarily altering the rest of the image.[1] This design may be relevant to teams that need control over layout as well as image content.
Designed for Canva’s editing workflow
Craft supports more than 30 aspect ratios and lets users enter a custom ratio.[1] Canva says users can write prompts in any language, and the model can generate text in 55 languages.[1] Its outputs can be transformed into fully editable design elements using Magic Layers.[1] Canva says it trained Craft on millions of human-made templates from its content library, including posters, social posts, presentations, infographics and menus.[1] These capabilities place image generation alongside format selection and further editing within Canva’s design workflow.
Training and reported evaluations
Canva says its professional designers gave feedback during supervised fine-tuning and reinforcement learning, with the goal of improving instruction following, typography and visual quality.[1] The company says more than 25,000 image pairs were assessed in head-to-head comparisons with leading models.[1] Canva reports that Craft debuted as the fourth most advanced image-generation model on DesignArena, ranked first for People & Portraits among 87 models and first for Landscapes & Nature among 85 models, and placed second for Abstract & Patterns and fourth for Products.[1] These are company-reported results across named categories.
Availability and next steps
Canva says Craft is available globally to all Canva users, and developers can access it through the company’s public API.[1] Integration with AI assistants and automated workflows through Canva MCP is listed as coming soon.[1] Canva also says two variants, Craft-fast and Craft-ultrafast, are forthcoming and intended to provide high-quality image generation at a fraction of the cost of leading frontier models.[1] The company says model distillation reduced the required inference steps to a fraction of the original model’s, while a custom inference engine made Craft an order of magnitude faster than its first internal version.[1] TechCrunch reported that Canva developed Craft to compete with image models from Google, OpenAI, ByteDance and Meta, and that Leonardo researchers contributed to the model.[2]
For professionals producing images as part of larger design deliverables, Craft’s combination of composition controls and editable outputs may make generation easier to incorporate into an existing workflow. Teams evaluating it should distinguish features available now, including the public API, from the integrations and lower-cost variants Canva says are forthcoming.
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For teamsHow this developed
22 October 2026
Canva says Craft is its first foundation model built from scratch
Sources
- Introducing Canva Craftcanva.com
- Canva releases its first image generation model | TechCrunchtechcrunch.com