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Canva launched Canva Craft, a tool similar to AI image models by Google, Meta, and OpenAI.
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Surprisingly, Canva fell short on a design task but did well at generating more realistic images.
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Here is how Canva’s new image generation tool stacks up against ChatGPT, Gemini, and Muse.
Canva wants a shot at winning the AI image generation race.
The design platformlaunched Canva Craft on Thursday, its first image-generation model, similar to those from Google, Meta, and OpenAI.
Users can access Craft through Canva’s Dream Lab, including with free accounts, though it is subject to AI usage limits. You’ll need to sign in to a Canva account to get started.
In the release announcement, Canva said the tool plans a design’s layout, proportions, and text before generating an image, an approach that aims to help it produce legible lettering and accurate details.
The company also said that the model was trained on human-designed Canva templates, including posters, menus, and presentations, rather than photographs.
To test how Canva performs, Business Insider created three image generation prompts with escalating difficulty levels — from designing a simple greeting card to creating a photorealistic image from scratch.
Here is how Canva’s brand-new image generation tool stacked up against three of the most powerful models.
Canva did not respond to a request for comment.
Starting off with an illustration
We started off simple with a prompt for a birthday card.
Create a cartoon “Happy Birthday” greeting card for a friend named Jessica who has pink hair, brown eyes, likes to wear paisley, and is turning 28 years old in November.
Surprisingly, Canva, the design platform, fell short in its design of the birthday card, from the awkward font to the outsize head of the cartoon character. It didn’t even bother to include any paisley.
ChatGPT guessed that the recipient’s favorite color might be pink, while Muse thoughtfully wove in cozy fall elements for the November birthday girl.
Meanwhile, Gemini took the request literally and produced an image of an actual card. Extra points!
Editing an image
For the second task, I tested the AI models’ ability to identify an element and place it in a brand-new setting.
Edit this image of me holding a necklace pendant. Take the red garnet pendant off my hand and make it look as if it is displayed in a vitrine in a jewelry showroom.
Canva did a great job of identifying the pendant and creating an atmospheric setting, but, like Gemini, it depicted the jewelry in a way that defied physics and common sense. It would be unrealistic for a pendant to float in the air or sit propped on a metal pole.
ChatGPT and Muse once again outperformed other models in understanding how things typically look in reality. Muse, however, made some alterations to the pendant, which I didn’t ask for.
Creating a photorealistic image from scratch
With Halloween approaching, I asked for a realistic depiction of my favorite animal.
Generate a photorealistic image of a long-haired orange tabby cat in a Halloween costume with bat wings, perched on the edge of a gothic medieval castle under the full moon and a starless night sky.
Though the cat’s fur looks a little too strandy and high-contrast in Canva’s creation, no components are missing or malformed, and the image composition pretty much matches the quality of Muse and Gemini.
The clear winner for me in this round, however, would be ChatGPT.
Not only is the cat’s posture majestic, but the soft glow on his left side is extremely realistic, and the white balance is well done. There are also clouds softly cradling the moon, which could be a response to my request for a starless sky.
Overall, it’s evident that Canva still has a lot of room to grow compared to other models, especially if graphic design is its focus. For now, I’ll stick to moving components around by hand.
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