Amazon SageMaker Unified Studio is in preview release and is subject to change.
Generate images with the Amazon Bedrock IDE image and video playground
The image and video playground is an interactive environment that lets you specify actions that generate and manipulate images using natural language prompts, reference images, and suitable Amazon Bedrock models.
Actions for generating images
Within the image playground, you use an action to specify the image generation task that you want the model to do, such as replacing the background of an existing image. The actions that are available depends on the model you use.
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Generate image — Generates a new image from a prompt that you enter.
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Generate variations — Use a prompt to generate a variation of an existing image.
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Remove object — Removes an object from an image you supply.
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Replace background — Replaces the background of an image with a new background.
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Replace object — Replaces an object in an image with a different object.
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Edit image sandbox — An image sandbox that you can use to expiriment with Stable Diffusion XL models.
Some actions, such as generate variation, require a reference image that a model uses to generate a new image. An action might require you to use a mask tool to draw a bounding box around an area of the reference image, such as when you define an object that you want to remove with the remove object action.
Configuration options
You can influence how a model generates an image by configuring the following options. The configuration changes you can make depends on the action you choose.
Negative prompt
A set of words or phrases that that tells the model what not to include in the image that it generates. For example, you can use the term -lowres to avoid generating low-resolution or blurry images.
Reference image
In certain actions, such as generate variations or replace background, you specify a reference image that the model uses to process the action.
Response image
You can specify the image dimensions, orientation, and number of images to generate.
Advanced configuration options
You can make advanced configuration changes that how the model generates images. All models image generation models support the following:
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Prompt strength — Prompt strength is a numerical value that determines how strongly a model should adhere to the given text prompt. A higher prompt strength means the model will try to closely follow and prioritize the text description provided in the prompt when generating the image. Lower prompt strengths allow the model more creative freedom to deviate from the prompt.
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Seed — A seed is numeric value that a model uses to seed a random number generator. The model uses the seed as a starting point for creating random patterns during image generation. This initial randomness influences things like the exact positioning, colors, textures, and compositions present in the image that the model generates.
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Similarity strength — If you use the Generate variations action with a Titan Image Generator G1 V1 or a Titan Image Generator G1 V2 model, you can also configure the Similarity Strength advanced configuration. Similarity Strength specifies how similar the generated image should be to the input image. Use a lower value to introduce more randomness into the generated image.
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Generate step — If you use a Stable Diffusion XL model, you can configure the Generate step advanced configuration. Generate step determines how many times the image is sampled. More steps can result in a more accurate result.
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