Generating images with Amazon Nova Canvas
With the Amazon Nova Canvas model, you can generate realistic, studio-quality images by using text prompts. You can use Amazon Nova Canvas for text-to-image and imaging editing applications.
Amazon Nova Canvas supports the following features:
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Text-to-image (T2I) generation – Input a text prompt and generate a new image as output. The generated image captures the concepts described by the text prompt.
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Image conditioning – Uses an input reference image to guide image generation. The model generates output image that aligns with the layout and the composition of the reference image, while still following the textual prompt.
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Color guided content – You can provide a list of hex color codes along with a prompt. A range of 1 to 10 hex codes can be provided. The image returned will incorporate the color palette provided by the user.
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Image variation – Uses 1 to 5 images and an optional prompt as input. It generates a new image that borrows characteristics from the reference images including style, color palette, and subject.
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Inpainting – Uses an image and a segmentation mask as input (either from the user or estimated by the model) and reconstructs the region defined by the mask. Use inpainting to replace masked pixels with new generated content.
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Outpainting – Uses an image and a segmentation mask as input (either from the user or estimated by the model) and generates new content that seamlessly extends the masked region, effectively replacing the image background.
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Background removal – Automatically identifies multiple objects in the input image and removes the background. The output image has a transparent background.
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Subject consistency – Subject consistency is achieved by fine-tuning the model with reference images to preserve the chosen subject (for example, pet, shoe, or handbag) in generated images.
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Content provenance – Use publicly available tools such as Content Credentials Verify
to check if an image was generated by Amazon Nova Canvas. This should indicate the image was generated unless the metadata has been removed. -
Watermarking – Adds an invisible watermark to all generated images to reduce the spread of misinformation, assist with copyright protection, and track content usage. Watermark detection is available to help you confirm whether an image was generated by an Amazon Nova model, which checks for the existence of this watermark. .
Amazon Nova Canvas |
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Model ID |
amazon.nova-canvas-v1:0 |
Input Modalities |
Text, Image |
Output Modalities |
Image |
Max Prompt Length |
1024 characters |
Max Output Resolution (generation tasks) |
4.19 million pixels (that is, 2048x2048, 2816x1536) |
Max Output Resolution (editing tasks) |
Must meet all of the following:
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Supporting Input Image Types |
PNG, JPEG |
Supported Languages |
English |
Regions |
US East (N. Virginia), Europe (Ireland), and Asia Pacific (Tokyo) |
Invoke Model API |
Yes |
Fine-tuning |
Yes |
Provisioned throughput |
No |