Compelling AI-generated pictures begin with well-crafted prompts. On this follow-up to our Amazon Nova Canvas Immediate Engineering Information, we showcase a curated gallery of visuals generated by Nova Canvas—categorized by real-world use circumstances—from advertising and marketing and product visualization to idea artwork and design exploration.
Every picture is paired with the immediate and parameters that generated it, offering a sensible place to begin to your personal AI-driven creativity. Whether or not you’re crafting particular varieties of pictures, optimizing workflows, or just looking for inspiration, this information will allow you to unlock the complete potential of Amazon Nova Canvas.
Answer overview
Getting began with Nova Canvas is easy. You may entry the mannequin by the Picture Playground on the AWS Administration Console for Amazon Bedrock, or by APIs. For detailed setup directions, together with account necessities and obligatory permissions, go to our documentation on Artistic content material era with Amazon Nova. Our earlier publish on immediate engineering finest practices offers complete steering on crafting efficient prompts.
A visible information to Amazon Nova Canvas
On this gallery, we showcase a various vary of pictures and the prompts used to generate them, highlighting how Amazon Nova Canvas adapts to numerous use circumstances—from advertising and marketing and product design to storytelling and idea artwork.
All pictures that observe have been generated utilizing Nova Canvas at a 1280x720px decision with a CFG scale of 6.5, seed of 0, and the Premium setting for picture high quality. This decision additionally matches the picture dimensions anticipated by Nova Reel, permitting you to take these pictures into Amazon Nova Reel to experiment with video era.
Landscapes
Character portraits
Trend images
Product images
Meals images
Architectural design
Idea artwork
Illustration
Graphic design
Conclusion
The examples showcased listed here are only the start of what’s doable with Amazon Nova Canvas. For even larger management, you may information generations with reference pictures, use customized coloration palettes, or make exact edits—akin to swapping backgrounds or refining particulars— with easy inputs. Plus, with built-in safeguards akin to watermarking and content material moderation, Nova Canvas presents a accountable and safe artistic expertise. Whether or not you’re knowledgeable creator, a advertising and marketing staff, or an innovator with a imaginative and prescient, Nova Canvas offers the instruments to carry your concepts to life.
We invite you to discover these prospects your self and uncover how Nova Canvas can rework your artistic course of. Keep tuned for our subsequent installment, the place we’ll dive into the thrilling world of video era with Amazon Nova Reel.
Prepared to start out creating? Go to the Amazon Bedrock console right now and produce your concepts to life with Nova Canvas. For extra details about options, specs, and extra examples, discover our documentation on artistic content material era with Amazon Nova.
In regards to the authors
Yanyan Zhang is a Senior Generative AI Information Scientist at Amazon Internet Companies, the place she has been engaged on cutting-edge AI/ML applied sciences as a Generative AI Specialist, serving to prospects use generative AI to attain their desired outcomes. Yanyan graduated from Texas A&M College with a PhD in Electrical Engineering. Outdoors of labor, she loves touring, understanding, and exploring new issues.
Kris Schultz has spent over 25 years bringing participating consumer experiences to life by combining rising applied sciences with world class design. As Sr. Options Architect inside Amazon AGI, he influences the event of Amazon’s first-party generative AI fashions. Kris is obsessed with empowering customers and creators of all sorts with generative AI instruments and data.
Sanju Sunny is a Generative AI Design Technologist with AWS Prototyping & Cloud Engineering (PACE), specializing in technique, engineering, and buyer expertise. He collaborates with prospects throughout various industries, leveraging Amazon’s customer-obsessed innovation mechanisms to quickly conceptualize, validate, and prototype revolutionary merchandise, providers, and experiences.
Nitin Eusebius is a Sr. Enterprise Options Architect at AWS, skilled in Software program Engineering, Enterprise Structure, and AI/ML. He’s deeply obsessed with exploring the probabilities of generative AI. He collaborates with prospects to assist them construct well-architected functions on the AWS platform, and is devoted to fixing know-how challenges and aiding with their cloud journey.