Canva makes its new image generation model available to every user
The design platform has released Craft, its first image generation model, to all users, aiming to broaden its AI capabilities beyond basic editing tools.

Key points
- Canva has launched Craft, its first image generation model.
- The model is trained specifically on human-designed templates.
- The feature is currently available to all users on the platform.
Canva has released its first image generation model, named Craft, making the technology accessible to every user of the design platform. This launch introduces a new tool developed by the company’s research team, expanding the platform’s features for its entire user base.
According to Techmeme, the model was developed by Canva’s internal research team. The company has confirmed that Craft is trained on human-designed templates. The report notes that Canva has plans to support third-party chatbots, indicating an intention to allow external developers to integrate with the model.
What we know
The release of Craft represents Canva’s entry into the market for image generation models. By training the system on its own library of human-created templates, the company utilises a specific dataset for its AI development. This approach focuses on the content available within the platform’s existing ecosystem.
Plans are also in place to support third-party chatbots, indicating that Canva intends to open its AI infrastructure to external developers. This expansion could allow other applications to leverage the Craft model for generating visual content, potentially integrating Canva’s design logic into wider software ecosystems beyond the main platform.
Defender's checklist
- Monitor organisational usage policies regarding AI-generated content to ensure compliance with brand guidelines.
- Verify that any third-party integrations using the model adhere to data privacy standards.
- Review licensing terms for generated images to confirm commercial usage rights.
- Assess the potential impact of AI-generated assets on intellectual property workflows.
The background in plain language
Generative AI models learn patterns from large datasets to create new content. Training on specific sources, like human-designed templates, influences the style and quality of the output. For organisations, understanding how these models are built helps in evaluating the reliability and originality of the generated material. Teams usually review the training data sources to gauge potential biases or copyright risks. Checking whether the vendor discloses their data origins is a standard step in due diligence for adopting new AI tools.
Background: Data privacy
Data privacy principles are the rules governing how personal information is collected, used, and stored. They require organisations to limit data collection to what is strictly necessary, keep it secure, and allow users to control their information. Understanding these principles helps you identify when a service respects your boundaries and when it exploits them for profit or surveillance.
Read the full guide: Data Privacy Principles: How to Protect Your Digital Life
What to do and how to stay safe: Canva
- Review your organisation’s policy on using AI-generated images for public-facing materials.
- Confirm that the platform’s terms of service clearly define ownership of generated assets.
- Monitor for updates regarding third-party integrations that may access your data.
- Once the vendor provides an update on data handling practices, adjust internal guidelines accordingly.
General security guidance from the TechWire Beat newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
What is Canva Craft?
Canva Craft is the design platform’s first image generation model, developed by its research team to create visual content based on human-designed templates.
Is the model available to all users?
Yes, according to the report, Canva has made the Craft model available to all users of the platform.
How was the model trained?
The model was trained specifically on human-designed templates, as stated in the source material.



